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  <title>Streamcode Tech News · Tech</title>
  <link>https://streamcode.gr/en/news/category/tech/</link>
  <description>Software, devices and AI, with a short English summary and a link to the original article.</description>
  <language>en</language>
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    <title>YouTube Music starts labelling AI-generated songs</title>
    <link>https://streamcode.gr/en/news/2026-10-15-youtube-music-ai-generated-labels/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-youtube-music-ai-generated-labels/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>YouTube Music has begun showing a label on the player page for tracks made with generative AI. Tapping it explains the role AI played, for example in composition or vocals, and the labels also appear in the main YouTube app. Partners declare whether a work is fully, partly or not at all AI-generated, and the platform also runs its own detection tools. Spotify, Deezer and TIDAL have taken similar steps. Labelling AI-generated content is moving from an experiment to a baseline expectation on large platforms, and that matters well beyond music. Since August 2026 the transparency duties in Article 50 of the EU AI Act apply to synthetic audio, images and text. Greek firms producing advertising jingles, call-centre voices or podcasts with synthetic narrators should know exactly what they declare to distribution platforms and be able to back it up. YouTube&#x27;s three-tier scheme of fully, partly or no AI is a handy template for internal policies: simple for creators and easy for audiences to grasp. There is a commercial side too, because services such as Deezer keep such tracks out of recommendations and withhold payouts for suspicious streams, so a wrong declaration can cost revenue. For teams building content-creation tools, adding provenance metadata from day one is far cheaper than retrofitting it later when a platform or regulator starts asking questions. Open standards such as C2PA are a sensible starting point. (Source: TechCrunch)</description>
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    <title>XBOW used AI to build a full Chrome exploit chain in six days</title>
    <link>https://streamcode.gr/en/news/2026-10-15-xbow-ai-chrome-full-chain-exploit/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-xbow-ai-chrome-full-chain-exploit/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Security company XBOW published details of a full Chrome exploit chain on Windows that let an attacker take over a computer when the user simply visited a malicious page. Its team, using a publicly available AI model, linked three unknown bugs together in six days. Google confirmed and fixed the bugs and paid a $250,000 bounty, the first under its new 2026 rules. Reports put the compute cost at about $40,000. The story shows how quickly the time and cost of finding serious vulnerabilities are falling. Work that once took specialist teams months can now be done in days with tools anyone can access. For Greek businesses the practical takeaway is simple: automatic browser and operating system updates are not optional, and the gap between a fix and its installation should be measured in hours, not weeks. Anyone managing a fleet of computers in offices or shops needs a central update policy and reporting on devices that fall behind. For software companies the same trend works in reverse: if AI can find holes in Chrome, it will find them in their own code too. They should add automated AI-assisted security testing to their development pipeline before an attacker runs the same tools against them. Security budgets also need to plan for faster patch cycles, because the volume of findings is set to grow sharply. Browser extensions deserve the same attention, since they are often missed during audits. (Source: XBOW)</description>
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    <title>Square&#x27;s new kiosk takes orders by voice using AI</title>
    <link>https://streamcode.gr/en/news/2026-10-15-square-kiosk-ai-voice-ordering/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-square-kiosk-ai-voice-ordering/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Square has unveiled Square Kiosk, a new self-service terminal for quick-service restaurants. It has an AI voice assistant that knows the menu, answers questions, suggests dishes and handles changes and substitutions, with the option to switch to a 21.5-inch touchscreen. It includes card payments, a barcode scanner, presence detection and loyalty sign-in. It costs $1,999 plus $99 a month per device in the US. Square&#x27;s move shows that the next generation of ordering kiosks will not just be screens with menus but conversational systems that understand natural speech. For Greek hospitality, where staff shortages are a constant headache, the idea of a kiosk that clears a peak-hour queue is appealing. The transfer is not automatic, though. Greek speech recognition, with regional accents, shop noise and tourists speaking many languages, is harder than English. There is also tax compliance: every order must end in a valid receipt and a myDATA submission, which American products do not cover. For Greek ordering software vendors that is an opening, since they can add voice ordering on top of systems already linked to cash registers and e-invoicing. Square&#x27;s price also offers a benchmark for what chains will pay for such a feature, and a sign that per-device subscription pricing is becoming the norm in restaurant technology. (Source: Square)</description>
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    <title>Eight US states sue OpenAI over ChatGPT safety for minors</title>
    <link>https://streamcode.gr/en/news/2026-10-15-openai-eight-states-chatgpt-child-safety/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-openai-eight-states-chatgpt-child-safety/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Eight US states, including Iowa, Kansas, Arizona and Montana, have filed separate lawsuits against OpenAI. They argue the company marketed ChatGPT as a safe tool for young people while knowing about risks to vulnerable users. The complaints rely on local consumer protection laws and point to cases brought by families who link the chatbot to the deaths of relatives. The states also accuse OpenAI of collecting data from minors without adequate safeguards. This case moves the AI safety debate away from voluntary corporate pledges and into courts and consumer protection law. For Greek companies embedding large language models into consumer apps, the lesson is that liability does not stay only with the model vendor. If an app targets pupils, parents or vulnerable groups, it will be judged on what its marketing promises and on how it behaves in practice. In the EU the same questions touch the AI Act, GDPR rules on children&#x27;s data and the Unfair Commercial Practices Directive. In concrete terms, a product team needs age assurance where it makes sense, filters for mental health topics that hand users over to human help, incident logging and careful wording of any safety claims. The lawsuits also show that regulators will ask for evidence rather than general reassurance. Small software houses building customer service or education chatbots should keep records of their testing and design decisions, because that documentation is the first line of defence if something goes wrong. (Source: The Verge)</description>
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    <title>OpenAI in early talks to acquire Trail of Bits</title>
    <link>https://streamcode.gr/en/news/2026-10-15-openai-early-talks-trail-of-bits/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-openai-early-talks-trail-of-bits/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>OpenAI is in preliminary talks to buy Trail of Bits, a New York firm that specialises in security audits and in finding vulnerabilities in open-source software, according to The Information. The value of a possible deal has not been disclosed and the talks may not lead to an agreement. The two companies already work together on Patch the Planet, where AI models find bugs and experts confirm and fix them. Trail of Bits has audited projects including Uniswap, Aave and Worldcoin. If the deal goes ahead, it will confirm that large model providers want to become cybersecurity service providers, not just tool vendors. For the European and Greek market this cuts both ways. Software companies could get cheaper and faster code review, especially for widely used open-source libraries. At the same time, even more expertise and access to sensitive code would concentrate in a handful of American groups. A fintech or e-invoicing provider that outsources security reviews to such a setup should check where its code is stored, who can access it and whether findings feed model training. Those questions tie directly to the third-party risk requirements in DORA. For Greek security auditors, the news is a warning that clients will expect a mix of AI and human judgement, so firms that do not adopt these tools will struggle to compete on price and speed in the next few years. Clients will still need named humans to sign off on findings and carry accountability for them. (Source: Crypto Briefing (citing The Information))</description>
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    <title>Ivanti Connect Secure VPN zero-day under active exploitation</title>
    <link>https://streamcode.gr/en/news/2026-10-15-ivanti-connect-secure-zero-day-cisa/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-ivanti-connect-secure-zero-day-cisa/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>The US cybersecurity agency CISA is warning about CVE-2026-104935 in Ivanti Connect Secure, a flaw that attackers are already exploiting. The bug bypasses authentication and allows remote command execution without credentials, which attackers use to steal credentials and data. Versions 25.1.1.1, 25.1.2.2 and 22.8R2.4 and earlier are affected, and the flaw was added to the KEV catalogue on 13 October. Because commands run in memory, Ivanti&#x27;s integrity checker may not reveal a compromise. Remote access appliances are the front door for many Greek businesses, from accounting offices to retail chains running a central ERP. When such a gateway allows command execution without login, an attacker is inside the network before anyone sees an alert. The most worrying detail is that activity lives in memory, so a quick check can create a false sense of safety. Anyone running Ivanti Connect Secure should upgrade at once, rotate passwords and certificates that pass through the appliance, and review logs for unusual sessions since early October. For organisations covered by the Greek NIS2 law, an incident like this may trigger an early reporting duty, so the call on whether a breach happened should not drag on. Strategically, version 22.8 reaches end of life in January 2027, which makes this a good moment to ask whether the company still needs a classic VPN or could move to per-application access with stronger identity checks. (Source: CISA)</description>
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    <title>China&#x27;s CXMT rattles memory stocks with new DRAM design claim</title>
    <link>https://streamcode.gr/en/news/2026-10-15-cxmt-dram-claim-memory-stock-rout/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-cxmt-dram-claim-memory-stock-rout/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>China&#x27;s ChangXin Memory Technologies said it had made progress on a new 4F² DRAM cell architecture that increases storage density. According to reports, it plans to ship a server DDR5 product using the design by the end of 2026. The news sent SK Hynix down 10%, Samsung down 7.4% and Micron down about 3.6%. CXMT has not yet shared speeds, capacities or customers. The market reaction shows how sensitive the AI supply chain is to any sign of Chinese competition. Memory is one of the most expensive parts of a server, and prices have risen sharply on AI demand. If CXMT really can produce competitive server memory, it could push prices down over the medium term, which would help anyone buying infrastructure or cloud services. For Greek businesses planning server upgrades or private cloud projects, that is no reason to wait. The announcement came without specifications, and US export rules may limit the use of Chinese components in some markets. Public procurement and financial sector clients also increasingly ask for documentation on hardware origin. The more useful lesson is to diversify suppliers and sign contracts with price clauses, so that a sudden swing in memory prices does not wreck a project budget halfway through delivery. Software teams can also cut exposure by tuning memory-hungry workloads, since caching and smaller models often reduce how much RAM a service really needs. (Source: CNBC)</description>
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    <title>ASML posts record sales as customers ask to order for 2030</title>
    <link>https://streamcode.gr/en/news/2026-10-15-asml-q3-2026-record-sales-capacity/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-asml-q3-2026-record-sales-capacity/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Dutch chip equipment maker ASML reported record third-quarter 2026 net sales of €11.7 billion and net income of €5 billion, with a 57.5% gross margin. CEO Christophe Fouquet said some customers want to place orders as far out as 2029 and 2030 because of AI investment. The company expects its planned output for 2027 and 2028 to fall short of demand and is looking at adding more capacity. It guides full-year 2026 sales of €44 to €45 billion. ASML is the only maker of the EUV lithography machines needed for the most advanced chips, so its results are one of the best gauges of where AI demand is heading. Customers wanting to book orders for 2030 means chipmakers see demand as long-lasting rather than a bubble of a few quarters. For Europe, ASML is one of the few strategic strongholds in the semiconductor chain, and its success supports the case for European technology autonomy. For Greek businesses, the direct consequence is that AI compute will stay in short supply for years. Anyone planning services that depend on GPUs or premium models should budget for persistently high costs and consider smaller, cheaper models for tasks that do not need top performance. For investors weighing Greek hardware startups, the news strengthens interest in specialised components and software that squeeze more efficiency out of the infrastructure already installed. Chip export rules and geopolitics remain the main risk to this outlook, so any plan that relies on cheap compute should include a fallback scenario. (Source: ASML (GlobeNewswire))</description>
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    <title>Anthropic opens Singapore office and signs government MOU</title>
    <link>https://streamcode.gr/en/news/2026-10-15-anthropic-singapore-office-government-mou/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-anthropic-singapore-office-government-mou/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anthropic has opened an office in Singapore, its fifth in the Asia-Pacific region. It also signed a non-binding memorandum of understanding with the country&#x27;s Ministry of Digital Development and Information on the sidelines of Singapore International Cyber Week. The MOU covers model safety and evaluation, research on AI adoption and responsible use in the public and private sectors. Claude is already used by organisations such as GovTech Singapore, Grab and DBS. The move shows a model of state and AI vendor relations that could interest Greece too: not just buying licences, but joint work on testing, evaluation and incident response. Singapore has spent years building model assurance capacity and now uses it as leverage. For the Greek public sector, which is already experimenting with digital assistants on gov.gr, the example suggests that in-house evaluation skills are a precondition for having a real voice with large providers. For private companies, the point is that vendors invest in local presence where usage is high and rules are clear. Europe has the second ingredient through the AI Act but still needs more of the first. Greek startups building on Claude or other models should watch where providers open offices, because partner programmes, local support and pilot credits tend to follow those decisions closely. A Greek counterpart to Singapore&#x27;s testing sandbox, run with universities and the national AI authority, would also give local firms a trusted place to validate Greek-language deployments before launch. (Source: Anthropic)</description>
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    <title>Anthropic: small AI models may soon self-replicate on IoT devices</title>
    <link>https://streamcode.gr/en/news/2026-10-15-anthropic-self-replicating-ai-iot-devices/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-15-anthropic-self-replicating-ai-iot-devices/</guid>
    <pubDate>Thu, 15 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anthropic&#x27;s Frontier Red Team published experiments suggesting that small AI models may be months away from being able to copy themselves onto cheap IoT devices. In tests, a 9-billion-parameter model got inference running on 8 of 9 hardware types, while a larger model ran distributed across 15 Android TV boxes costing about $55 each. Stronger models completed full replication cycles in a simplified setting. The company stresses that no working rogue replicator exists yet. The research does not describe a threat that exists today, but it shows where risk is heading: away from expensive data centres and towards cheap, poorly protected devices found in every office and shop. Cameras, smart TVs, thermostats and point-of-sale gadgets often run old software with factory passwords. If a future program carrying its own model can work out how to use unfamiliar devices, old-style botnets gain new flexibility. For Greek SMEs the practical answer is well known but rarely applied: a separate network for IoT devices, changed passwords, remote access switched off where it is not needed and hardware bought from vendors who ship updates. The EU Cyber Resilience Act will gradually push such requirements onto manufacturers, yet equipment already installed will stay in use for years. Companies building devices or firmware, such as ordering kiosks, should design on the assumption that someone will try to run foreign code on them. (Source: Anthropic)</description>
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    <title>Workday and Anthropic link Sana agents with Claude</title>
    <link>https://streamcode.gr/en/news/2026-10-14-workday-anthropic-sana-claude/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-workday-anthropic-sana-claude/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Workday and Anthropic announced a partnership connecting Workday’s Sana AI agents with Claude. Employees can start work in Claude or in Sana, exchanging context through the open Model Context Protocol. Every action follows the customer’s existing Workday permissions and audit controls, and the user confirms changes. The Sana in Claude plugin is available to early-access customers and is expected to reach general availability late in 2026. The partnership shows how major enterprise platforms want frontier reasoning inside HR and finance workflows without loosening existing permissions. For Greek companies already on Workday or evaluating agentic tools, the key point is that rules stay in the system of record instead of drifting into an uncontrolled general chatbot. That lowers the risk of an agent approving a payment or changing pay outside company policy. It also opens practical cases such as invoice exception review or internal mobility planning inside tools teams already use. Builders of custom integrations should watch standards such as MCP and keep human confirmation for sensitive actions. Late-2026 availability leaves room for pilots, but not for delaying an agent access policy, because buyers will soon expect governed AI inside core people and money processes across everyday business operations. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: Workday)</description>
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    <title>Workday to buy C1.ai for identity of people and AI agents</title>
    <link>https://streamcode.gr/en/news/2026-10-14-workday-acquires-c1-ai/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-workday-acquires-c1-ai/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Workday announced a definitive agreement to acquire C1.ai, an agentic identity platform that governs access for employees and autonomous AI agents. C1.ai connects to systems such as email, CRM, code repositories, finance tools and cloud infrastructure. The deal is expected to close in Workday’s fiscal fourth quarter ending 31 January 2027. Workday frames the move as becoming the identity governance layer for people, money and agents across the enterprise. The deal shows the market moving from experimental AI agents to access control. When agents open email, change payroll data or call payment APIs, the hard question is not only what they can do, but who granted the right and when it is revoked. Greek firms on Workday or similar HR and finance stacks should ask vendors for agent inventories, time-bounded permissions and audit trails. The same logic applies to companies building their own agents on ERP, myDATA or ordering platforms: without identity and revocation, a mistake or breach scales instantly. The move also maps to AI Act and cybersecurity expectations, where proof of control over automated systems becomes part of compliance. Software vendors selling to businesses should design role-based rights for agents now, not only for human users, because buyers will increasingly treat agent identity as a procurement requirement rather than an optional add-on in enterprise deals. It belongs in operational planning for Greek SMEs. (Source: Workday)</description>
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    <title>Ubitium raises $14M for a physical-AI processor</title>
    <link>https://streamcode.gr/en/news/2026-10-14-ubitium-14m-physical-ai/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-ubitium-14m-physical-ai/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>European semiconductor startup Ubitium raised $14 million in a new seed round led by Ibex Investors. It is building a reconfigurable processor that combines sensing, AI inference and real-time control for robots, drones and industrial equipment. Its first chip, the UB108, was made on Samsung’s 8nm process. The funding will advance the commercial UB410 toward production, with tape-out and evaluation units planned for 2027. The raise shows physical AI depends not only on big data centers but also on specialised edge silicon. For Greek industry, logistics and automation firms, future robotics may get cheaper and simpler if multiple specialised chips shrink into one architecture. Product teams combining sensors and autonomous control should watch RISC-V designs and unified toolchains, because they change software cost. Foundry concentration remains a supply-chain risk. Greek system integrators can trial evaluation kits when they appear, but should avoid locking designs before 2027 hardware exists and before safety certification paths are clear for their markets. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: Tech.eu)</description>
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    <title>Nvidia pledges about $2B more for European AI investments</title>
    <link>https://streamcode.gr/en/news/2026-10-14-nvidia-europe-2b-french-startups/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-nvidia-europe-2b-french-startups/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Nvidia CEO Jensen Huang said in Paris that the company plans to announce roughly $2 billion of European investments within a week. That would come on top of about $8 billion it has already put into the continent over the past year. He also named minority stakes in four French startups: Doctolib, Genesis AI, Pigment and Entalpic. Huang urged Europe to join the AI race more forcefully and promoted open models as a path to technological sovereignty. Nvidia’s pledge matters for European software and fintech firms because the leading accelerator vendor is still committing capital and strategic stakes on the continent instead of concentrating only in the US and Asia. For Greek product teams, that raises the odds of nearby partners, cloud capacity and co-innovation with European startups that suddenly have Nvidia-linked backing, while GPU cost and availability remain central to roadmaps. Huang’s open-model pitch also aligns with companies that need Greek language, local data and regulatory fit without relying only on closed APIs. Builders should watch where capacity lands and which local players receive strategic money, because that shapes latency, cloud pricing and supplier choices. The cash does not rewrite the AI Act, yet it increases pressure for real productive infrastructure in the EU rather than rules alone, and Greek SMEs buying AI tooling will feel the effects through partners’ pricing and regional coverage. It belongs in operational planning, not only in a leadership news briefing. (Source: The Next Web)</description>
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    <title>NCA and Meta: nearly 30 arrests and 3.7M accounts removed in scam crackdown</title>
    <link>https://streamcode.gr/en/news/2026-10-14-nca-meta-west-africa-scam-takedown/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-nca-meta-west-africa-scam-takedown/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>The UK National Crime Agency hosted a joint operation with law enforcement and technology firms against fraud networks based in West Africa. Meta removed more than 3.7 million profiles, pages and groups. Nearly 30 people were arrested, mainly in Ghana and Nigeria, trafficking victims were rescued, and about $11 million in potentially freezable funds was identified. Participants included the FBI, Microsoft and Google among others. The scale of removals shows platforms remain a front line for investment and impersonation scams that also hit Greek users. Businesses should train staff and customers not to trust investment pitches or urgent payments that start on social media. Brands that run ads or pages need stronger identity checks and fast reporting of lookalike pages. Public-private crackdowns will grow, so platforms may demand more verification from advertisers. Fintech and payments firms should link social-fraud signals to anti-money-laundering controls and transaction freezes before funds leave the country. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: National Crime Agency)</description>
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    <title>Microsoft scales Azure Maia toward multi-gigawatt deployments</title>
    <link>https://streamcode.gr/en/news/2026-10-14-microsoft-maia-300-multigigawatt/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-microsoft-maia-300-multigigawatt/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Microsoft said it will scale the Azure Maia family to multi-gigawatt deployments starting in 2027, making Maia its primary inference system for Microsoft products and services. Maia 200 is already serving production workloads including Microsoft Copilot. Maia 300 targets long-context reasoning, low-latency conversation and multi-step agents, with Microsoft claiming up to 40% more tokens per megawatt versus leading GPU systems. Production deployments of Maia 300 are planned for 2027. Microsoft’s push into custom inference silicon changes the cost math for anyone relying on Azure Copilot, Foundry and related APIs. For Greek businesses, prices, capacity and regional availability may depend more on Microsoft’s own stack and less on third-party GPU markets. Teams building long-context or continuous agent workflows should test performance and rate limits before locking critical processes to one path. Supplier diversification remains prudent, because a strong internal platform reduces Microsoft’s incentive to price every rival model equally. Greek SaaS vendors should plan fallbacks to open or alternative models when inference cost squeezes margins, and they should revisit cloud contracts as Maia capacity ramps through 2027. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: Microsoft)</description>
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    <title>Meta says GEM lifted ad conversions by 18.9%</title>
    <link>https://streamcode.gr/en/news/2026-10-14-meta-gem-ads-conversions/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-meta-gem-ads-conversions/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Meta published a technical account of its 2026 GEM ads model, claiming an 18.9% conversion improvement and a 12% CTR lift across ad surfaces. The system unifies predictions for Facebook, Instagram and Reels in one central foundation model. The figures come from Meta itself without independent audit or a full methodology. For advertisers, the changes mostly arrive through automated delivery rather than new Ads Manager controls. Meta’s performance claims matter for Greek businesses spending on Meta ads, because they change how the system learns from clicks and conversions across apps. Without independent measurement, the numbers should be treated as directional, not as guaranteed ROI. Advertisers should compare them with their own incrementality tests and watch cost per real sale. Cross-surface learning means behaviour on one placement can shape optimisation on another, complicating placement reports. Teams using Advantage+ should keep holdout tests and avoid raising budgets only because the dashboard shows higher conversions attributed by Meta. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: PPC Land)</description>
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    <title>Disney bids about $20M for Character.ai IP and about $180M for staff</title>
    <link>https://streamcode.gr/en/news/2026-10-14-disney-character-ai-ip-deal/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-disney-character-ai-ip-deal/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Character.ai filed for Chapter 11 in the United States, with Disney as the stalking-horse bidder for selected intellectual property at about $20 million. Disney also hired most of the staff, with estimated pay and retention near $180 million over three years. The deal does not buy the app, brand or user data. The platform is expected to wind down unless another buyer keeps it operating. The case shows that in an AI startup crisis value can sit more in people and code than in the consumer app’s users. Greek AI startups should not treat an active user base as automatically liquid in bankruptcy. Buyers and investors look at talent, patents and training or safety systems, while litigation and regulation can make the whole product unattractive. Teams building consumer AI involving minors or sensitive content must invest early in compliance, because dispute costs can exceed commercial value. Business customers that rely on such tools need exit clauses and alternative vendors before a wind-down leaves them stranded. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: PPC Land)</description>
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    <title>Anthropic asks D.C. Circuit to rehear Pentagon blacklist loss</title>
    <link>https://streamcode.gr/en/news/2026-10-14-anthropic-dc-circuit-pentagon-rehearing/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-anthropic-dc-circuit-pentagon-rehearing/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anthropic asked the federal appeals court in Washington to rehear the ruling that upheld the Pentagon’s supply chain risk label against the company. The September 2-1 decision left in place a bar on defense contractors using Claude. Anthropic argues the designation retaliated for its AI-safety limits on mass surveillance and lethal autonomous weapons. A parallel San Francisco case had found part of the Defense Department’s conduct unconstitutional. The case is not a Greek SME headline, yet it sets a precedent for how easily a state can shut an AI vendor out of public and defense supply chains without a clear process. EU firms selling to government or critical infrastructure should document model-use limits, safety policies and contract clauses before a political dispute erupts. Customers that depend on a single frontier model need a fallback path, because a ban can freeze contracts overnight. The fight over permitted military uses will also shape European dual-use AI debates. Anyone embedding Claude or rival models in B2B products should treat usage terms and geographic bans as operational risk, not legal footnotes, and review concentration risk in procurement. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: CNBC)</description>
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    <title>Albert raises $55M for chemistry-native AI in R&amp;D</title>
    <link>https://streamcode.gr/en/news/2026-10-14-albert-55m-chemistry-ai/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-14-albert-55m-chemistry-ai/</guid>
    <pubDate>Wed, 14 Oct 2026 09:00:00 +0300</pubDate>
    <description>Albert Invent announced a $55 million Series B led by TCV to expand its chemistry-native AI platform for research and development. The company highlighted its Valence model, which its research says is far more accurate than general-purpose AI at retrieving scientific answers. Enterprise customers named include BASF, Henkel and AkzoNobel. Proceeds will fund shorter product development cycles and deeper tools for scientists. The round confirms that general large models are not enough in sectors with strict scientific vocabulary and regulatory duties. Greek chemical, cosmetics, food and materials firms should judge vertical AI by accuracy on formulations and experiments, not fluency alone. Vendors selling R&amp;D software must offer access controls, zero data retention options and reasoning audit trails, because customers will not accept recipe leakage. Pressure for faster product-safety compliance also makes tools that cut repeated experiments attractive. SMEs can start with pilots that search internal knowledge before allowing agents to propose formulations for production, and they should involve quality and regulatory staff early. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. It belongs in operational planning for Greek SMEs. (Source: Albert Invent)</description>
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    <title>Xbox embraces AI-assisted ports of classic games</title>
    <link>https://streamcode.gr/en/news/2026-10-13-xbox-labs-ai-game-ports/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-xbox-labs-ai-game-ports/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Microsoft announced an Xbox initiative around decompiling and recompiling older games. These techniques, often helped by AI, let fans bring classic titles to new hardware. Instead of fighting them, the company chose to make use of them. The move could change how video game history is preserved. Microsoft choosing to embrace the decompiling and recompiling of old games, rather than fighting it in court, is a notable shift for an industry that has traditionally guarded its code tightly, even for titles no longer on sale. These techniques, increasingly helped by AI, let groups of fans reconstruct a game&#x27;s source code from its executable and make it run on modern hardware, which would otherwise take an enormous amount of work. For preserving video game history the benefit is large, since many classic titles risk disappearing once the hardware they were built for stops working. The same technology matters beyond games too: many businesses still run old systems with no documentation left and no original developer to ask, and AI that helps understand and port legacy code could make modernising them much cheaper, provided it is done with proper review and testing before anything goes into production and with respect for licences. (Source: The Verge)</description>
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    <title>SpaceXSI bundles X Premium, Grok and Cursor in one plan</title>
    <link>https://streamcode.gr/en/news/2026-10-13-x-subscription-grok-cursor-bundle/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-x-subscription-grok-cursor-bundle/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>The new X subscription combines the platform&#x27;s paid features with AI tools such as Grok and Cursor. Plans range from $8 to $200 per month. The aim is to make the subscription more appealing to professionals and developers. It also reflects a trend of packaging AI services with social networks. The new SpaceXSI subscription, which combines X&#x27;s paid features with AI tools such as Grok and Cursor, follows a familiar logic: when one product on its own is not enough to make people pay, bundling several services makes the price feel more reasonable, as TV and telecom providers did in the past. The range from 8 to 200 dollars a month shows the bundle targets ordinary users as well as professionals and developers who use coding tools every day and will pay more for higher limits. For someone already paying separately for AI tools, the bundle may lower costs, but it is worth checking usage limits first, what exactly each tier includes and whether all the services are really needed. Tying productivity tools to a social network also raises data questions, because when one company runs more of a user&#x27;s services it gathers more information about them, which businesses should weigh when choosing tools for their team. (Source: TechCrunch)</description>
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    <title>Siri on iOS 27 learns your preferred music app</title>
    <link>https://streamcode.gr/en/news/2026-10-13-siri-ios-27-spotify-default/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-siri-ios-27-spotify-default/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Siri can now learn which music app a user prefers. Spotify users can ask for songs, podcasts and playlists without adding &#x27;on Spotify&#x27;. It is a small but long requested change in Apple&#x27;s ecosystem. Many link it to regulatory pressure for more open platforms. Siri on iOS 27 learning which music app a user prefers looks like a small change, but for years it was one of the clearest examples of Apple favouring its own services: Spotify listeners had to name the app every time, while Apple Music was the automatic choice. The change comes during intense regulatory pressure, especially in Europe under the Digital Markets Act, which requires large gatekeepers not to favour their own products over competitors. For users the benefit is practical and immediate, with less friction in daily use, while for app makers it signals that integrating with the voice assistant and system features is worth more, since third-party apps can now become the default. The broader message is that platforms open up gradually, usually not voluntarily but under the pressure of rules, and anyone designing mobile products should track which new capabilities each release makes available to them. (Source: TechCrunch)</description>
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    <title>Pluto Security raises $42M to tackle workplace AI risk</title>
    <link>https://streamcode.gr/en/news/2026-10-13-pluto-security-42m/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-pluto-security-42m/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Pluto Security has raised $42 million in funding. The company focuses on the problem created when every employee gets access to AI tools and uses them in unpredictable ways. Security teams worry this opens new gaps in their systems. The round shows that AI security is becoming its own market. Pluto Security&#x27;s 42 million dollar round confirms that securing AI inside companies has become its own market, with a distinct problem to solve: when every employee has access to chatbots, coding assistants and agents, company data can end up in outside services without anyone knowing, and automations can gain permissions nobody explicitly approved. Traditional security teams were set up to control applications and networks with predictable behaviour, whereas AI tools are used in unpredictable ways, often by staff who simply want to work faster. For smaller companies without a security team, the answer does not have to be an expensive platform: a clear policy on which tools are allowed, which data never goes into them, and company accounts instead of personal ones already provides visibility. Visibility into usage is the first step, because you cannot protect something you do not know exists, and GDPR requires you to know where personal data goes in any case. (Source: TechCrunch)</description>
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    <title>FBI arrests an OpenAI engineer over a hidden recording device</title>
    <link>https://streamcode.gr/en/news/2026-10-13-openai-employee-arrested-recording-device/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-openai-employee-arrested-recording-device/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>The FBI arrested an OpenAI engineer after the company found a sophisticated recording device hidden in an office meeting room. The 35-year-old is charged with intercepting or attempting to intercept spoken conversations. According to the FBI director, the aim was to gather sensitive details about the company&#x27;s superintelligence work. The case shows how valuable AI lab secrets have become. The arrest of an OpenAI engineer over a hidden recording device in a meeting room is a reminder that the most valuable secrets are not always stolen over the internet: they can leak through someone with legitimate access to the building who knows where and when important conversations happen. The FBI director linking the case to information about the company&#x27;s superintelligence work shows that authorities now treat AI labs almost as strategic infrastructure, with a matching interest in espionage. It should be noted that this is a charge and not a conviction, and the motives and possible recipients of the information have not been made public. For any organisation with sensitive projects, the practical takeaway is that security needs physical measures as well, such as room sweeps, restricted access to certain areas and a device policy, not just firewalls and encryption, while managing insider risk means balancing oversight with trust in employees. (Source: TechCrunch)</description>
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    <title>Court orders OpenAI to share hiring records with Apple</title>
    <link>https://streamcode.gr/en/news/2026-10-13-openai-apple-trade-secrets-hiring-records/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-openai-apple-trade-secrets-hiring-records/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>A federal judge ruled that Apple may access OpenAI&#x27;s interview material with former Apple employees. The order also covers private messages and depositions from key people in the case. Apple accuses OpenAI of misappropriating trade secrets through its hiring. The ruling adds pressure on OpenAI as the case moves forward. The judge allowing Apple to access OpenAI&#x27;s interview material with former Apple employees, along with private messages and depositions, significantly raises the stakes for OpenAI, because that evidence could show exactly what was discussed during hiring and whether confidential knowledge changed hands. Competition for talent in artificial intelligence and hardware is so intense that engineers moving between large companies are increasingly followed by legal disputes, and each case shapes practice across the sector. It should be stressed that the ruling concerns access to evidence and not the substance of the allegations, which have not been decided. For any company hiring from competitors, even at a far smaller scale, the lesson is practical: it needs a documented process showing that a new employee brings no documents, code or information from a previous employer, together with clear confidentiality terms from the very first day, so that hiring good people does not turn into an expensive legal dispute later. (Source: TechCrunch)</description>
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    <title>Weighing the benefits and risks of open-weight AI models</title>
    <link>https://streamcode.gr/en/news/2026-10-13-open-models-benefits-risks/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-open-models-benefits-risks/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>MIT Technology Review examines the debate over AI models with open weights. It was prompted by an Anthropic report that called the Chinese model GLM-5.3 a serious cyberattack risk. On the other side, open models offer transparency, lower costs and independence from a few vendors. The piece weighs both sides without an easy answer. The debate over open-weight models is no longer theoretical, and the trigger for this piece, an Anthropic report calling GLM-5.3 a serious cyberattack risk, shows how fast the gap between open and closed models is closing on capabilities that can also be misused. On the other side, the benefits are concrete: a business can run an open model on its own servers, keep its data inside the EU, inspect how it behaves and avoid depending on a single vendor&#x27;s prices and terms. It is also worth noting that a risk assessment of a model by a competing company inevitably has a commercial dimension, so reports like this need independent confirmation. For small and medium businesses the practical question is technical rather than ideological, because choosing an open model means taking responsibility for secure deployment, updates, access control and filtering, whereas a hosted provider handles part of that in exchange for less control. (Source: MIT Technology Review)</description>
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    <title>Regulators review reports of Tesla robotaxis speeding in school zones</title>
    <link>https://streamcode.gr/en/news/2026-10-13-nhtsa-tesla-robotaxi-school-zones/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-nhtsa-tesla-robotaxi-school-zones/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>The US road safety agency NHTSA is looking into reports that Tesla&#x27;s roughly 1,000 robotaxis exceed speed limits in active school zones. The review covers the company&#x27;s self-driving system. Similar probes have targeted Waymo. The outcome will affect how quickly autonomous taxis expand. NHTSA looking into reports that Tesla&#x27;s robotaxis speed through active school zones touches the most sensitive point of autonomous driving: not routine motorway journeys, but temporary local conditions, such as a limit that applies only when pupils arrive and leave and is signalled by flashing lights or changing signs. For a system built on cameras and maps, interpreting rules like these correctly is hard, and that is exactly where readiness for wide driverless use gets decided. Similar probes into Waymo show the problem is not unique to one company but typical of an industry that is still learning, while Tesla&#x27;s fleet of around a thousand vehicles makes the issues more visible. For regulators, the case will influence how quickly robotaxis are allowed to expand into new cities, and for the public it is a reminder that trust in such systems builds slowly and could vanish after one serious incident near a school. (Source: The Verge)</description>
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    <title>Mind Robotics hires former Ford EV chief Doug Field as president</title>
    <link>https://streamcode.gr/en/news/2026-10-13-mind-robotics-doug-field/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-mind-robotics-doug-field/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Mind Robotics, the robotics company led by Rivian chief RJ Scaringe, has hired Doug Field as president. Field ran Ford&#x27;s electric vehicle work until recently. Earlier he led Apple&#x27;s Project Titan and the development of the Tesla Model 3. The hire is seen as a major win for the secretive venture. Mind Robotics hiring Doug Field shows where talent and capital are heading in technology: an executive with experience on the Tesla Model 3, Apple&#x27;s Project Titan and, more recently, Ford&#x27;s electric vehicles chooses a robotics company connected to Rivian&#x27;s chief, suggesting robotics is seen as the next big frontier after electric cars. Field&#x27;s background matters for a specific reason, because it is about mass production of complex hardware, exactly where many robotics companies fail, since a prototype that works in the lab is a long way from thousands of units with consistent quality and sensible cost. Mind Robotics remaining largely secretive makes it hard to judge what it is building, but hiring a profile like this signals industrial-scale ambitions. For the wider sector, executives moving from carmaking into robotics indicate that automotive skills such as supply chain management, safety engineering and quality control are becoming valuable in new fields. (Source: The Verge)</description>
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    <title>iPhone gains share while smartphone shipments fall</title>
    <link>https://streamcode.gr/en/news/2026-10-13-iphone-market-share-q3/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-iphone-market-share-q3/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Global smartphone shipments dropped in the third quarter, yet Apple increased its market share. Samsung also had a reasonable quarter. By contrast, Xiaomi, Oppo and Vivo saw steep declines. The picture suggests big premium brands hold up better in a tough market. Apple growing its share while overall smartphone shipments fell shows a pattern that repeats in tough markets: people replace phones less often, but when they do, they choose brands they trust and devices that will stay supported with software updates for longer. The sharp drop for Xiaomi, Oppo and Vivo, which are strong in the mid and lower price ranges, suggests buyers on tight budgets are the ones delaying purchases most, while Samsung sits somewhere in between with a broad product range. For app makers, this has practical meaning, because the iOS audience remains stable and is often more willing to pay for apps and subscriptions, so solid support for both platforms remains essential. For businesses that give phones to their staff, longer device lifespans make it more important to plan security and updates properly, so that older handsets do not turn into a security gap for the whole company network. (Source: Engadget)</description>
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    <title>GTA 6 reportedly heads to PC in early 2027</title>
    <link>https://streamcode.gr/en/news/2026-10-13-gta-6-pc-early-2027/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-gta-6-pc-early-2027/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Reports say the PC version of GTA 6 will launch in early 2027. If true, the wait will be far shorter than for GTA 5, which took years to reach PC. Rockstar has not announced anything officially. For PC players it is one of the most anticipated pieces of news this year. Reports of a GTA 6 PC release in early 2027 matter beyond gamers, because they show how release strategy is changing for big titles: publishers used to hold the PC version back for years, partly for technical reasons and partly to sell on consoles first, but today the PC market is too large to leave out for that long. If the report is confirmed, the contrast with GTA 5, which arrived years later, will be striking and will show that development tools now make it easier to move between platforms. It should be stressed that Rockstar has announced nothing officially, so the date remains a rumour and could change, as often happens with titles this large. For the industry, a launch of this size also affects the hardware market, since many players upgrade graphics cards to play, and technology retailers usually prepare for higher demand around such dates, both online and in physical stores. (Source: Engadget)</description>
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    <title>Google Play now hosts private AI-built Android apps</title>
    <link>https://streamcode.gr/en/news/2026-10-13-google-play-private-vibe-coded-apps/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-google-play-private-vibe-coded-apps/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anyone with a Google account can now publish private Android apps built with AI in Google AI Studio to the Play Store. These apps are not listed publicly, run only on the creator&#x27;s own device and need no paid developer account. They must still follow Play&#x27;s rules. The feature starts with adult users in the US, alongside new AI tools for finding apps and games. Letting anyone publish private AI-built Android apps without a paid developer account changes who can make software for personal use: a professional can describe a tool for their own needs in plain words, such as a cost calculator or a task list, and have it on their phone within minutes. Because these apps run only on the creator&#x27;s device and are not listed publicly, risks to other users stay limited, while the requirement to follow Play&#x27;s rules shows Google wants to keep control over anything that passes through its store. For the software industry, this does not make professional developers redundant, but it shifts their value towards what a description cannot solve: security, integration with other systems, scaling to many users and long-term maintenance. The initial rollout only to adults in the US suggests Google is moving cautiously, and the feature may reach Europe once the risks and regulatory requirements have been assessed. (Source: TechCrunch)</description>
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    <title>Google rolls out Gemini 4 Argon, for paying users only</title>
    <link>https://streamcode.gr/en/news/2026-10-13-gemini-4-argon/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-gemini-4-argon/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Google has started the general release of Gemini 4 Argon, its most advanced model, a few weeks after announcing it. Developers can use it through the API, and Pro and Ultra subscribers get it in the app, with an introductory half price until late November. Google highlights complex coding and autonomous tasks, with a limit of up to one million tokens. A new safeguard halts runs when it detects a suspicious workflow. Making Gemini 4 Argon generally available only in paid plans and through the API shows Google treating its strongest models as a high-value commercial product rather than a free way to attract users, which fits their high running costs. The focus on complex coding, autonomous tasks and a limit of up to one million tokens means the model is aimed at teams that want to hand it entire projects, large document sets or big code repositories, not just short questions. The mechanism that halts a run when it detects a suspicious workflow is an important detail, because it shows vendors taking on some responsibility for what agents do, but also means a legitimate job may occasionally stop without warning, which has to be planned for in system design. For businesses evaluating the model, the half-price introductory period until late November is a good window for testing on real scenarios, measuring cost per task before any long-term commitment. (Source: Ars Technica)</description>
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    <title>Facebook lets users steer their own feed</title>
    <link>https://streamcode.gr/en/news/2026-10-13-facebook-your-algorithm/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-facebook-your-algorithm/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Meta has brought its Your Algorithm feature, already on Instagram, to Facebook. With help from AI, users can say what they want to see more or less of in their feed. The company hopes to answer criticism about opaque recommendations. Control still has limits, since the algorithm remains Meta&#x27;s. Bringing the Your Algorithm feature from Instagram to Facebook answers years of criticism that users do not understand why they see what they see in their feed, and that recommendation systems favour content that holds attention without necessarily being useful. With AI assistance, users can ask for more or less of certain topics, which looks like more control, but in practice it is still a setting inside a system Meta owns and runs. In Europe, the Digital Services Act already requires large platforms to explain their recommendation criteria and offer choices, so features like this are also a way to demonstrate compliance. For businesses that rely on organic reach on Facebook, the change can have practical effects, because if users dial down whole categories of content some posts will reach fewer people, which strengthens the case for owned channels such as a newsletter and a website that the business controls directly. (Source: TechCrunch)</description>
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    <title>Cambridge Heavy Industries reveals a desktop fusion device</title>
    <link>https://streamcode.gr/en/news/2026-10-13-cambridge-heavy-industries-desktop-fusion/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-cambridge-heavy-industries-desktop-fusion/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Cambridge Heavy Industries is developing a small laser-driven nuclear fusion device. The goal is not to generate electricity but to support future fusion power plants. The company worked quietly and is now showing the project publicly. It is one of many new firms betting on the coming fusion industry. The Cambridge Heavy Industries device is interesting precisely because it does not promise electricity: instead of chasing net energy from fusion, which remains distant, it aims to be a tool for the people who will build future plants, for example to test materials or sensors in conditions that resemble those inside a reactor. The approach recalls the old strategy of selling shovels in a gold rush, and it is more realistic as a business, since it can bring revenue long before fusion is shown to be commercially viable. The company working quietly and only now going public fits a wider wave of investment in the field, with many new firms building the supply chain for an industry that does not exist yet. For readers outside physics, the takeaway is that headlines about desktop fusion deserve careful reading, because the progress is real but often concerns tools and testing rather than cheap power any time soon. (Source: TechCrunch)</description>
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    <title>Bumble accepts a $1.3B buyout as dating apps rethink their model</title>
    <link>https://streamcode.gr/en/news/2026-10-13-bumble-1-3b-acquisition/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-bumble-1-3b-acquisition/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>After years of falling subscribers and revenue, Bumble has accepted a takeover offer worth $1.3 billion. The deal comes as the whole dating app market looks for a new model. Users, especially younger ones, are drifting away from classic swiping. The price shows how far the company&#x27;s valuation has fallen. Accepting a 1.3 billion dollar takeover closes a chapter for a company once seen as one of the most dynamic in dating apps, and shows how far valuations across the sector have fallen after years of shrinking subscribers and revenue. The core problem is not Bumble&#x27;s alone: endless swiping tires users, especially younger ones, who want more genuine connections, less pressure and more safety, while paid subscriptions look harder to justify when the experience does not improve. The market is now testing alternatives such as events, group activities and tools that get people to a real meeting faster, and the new owners will be judged on whether they invest in that kind of change or simply cut costs. For anyone building new dating products, the deal is both a warning and an opportunity, because the audience is still there, but it does not want one more app that looks like all the others. (Source: TechCrunch)</description>
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    <title>Apple opens orders for HomeView, a $299 smart display</title>
    <link>https://streamcode.gr/en/news/2026-10-13-apple-homeview/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-apple-homeview/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Apple has opened preorders for HomeView, a 7-inch smart display with a speaker priced at $299. It acts as a control hub for the smart home and can recognise up to six family members through its camera. Users can ask Siri to close blinds or lock doors by voice. It can also show up to nine security camera feeds at once. HomeView is Apple&#x27;s first smart display and arrives in a category where Amazon and Google have been present for years, which means the company is betting not on a new idea but on integration with the rest of its ecosystem and on its reputation for being more careful with privacy. The features described, voice control for blinds and locks and up to nine security cameras on screen at once, position the device as a home control hub rather than just a speaker with a display. The most sensitive element is recognising up to six family members through a camera, because that is biometric data inside the most private space, and user trust will depend on where that data is processed and who can reach it. In Europe, where GDPR treats biometric information strictly, Apple will need to explain clearly how recognition works, while for smart home device makers the entry of such a large player raises the bar on security and ease of use. (Source: Ars Technica)</description>
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    <title>Apple updates the HomePod mini with a new chip at $149</title>
    <link>https://streamcode.gr/en/news/2026-10-13-apple-homepod-mini-2/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-apple-homepod-mini-2/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>Apple refreshed the HomePod mini with a newer processor and support for Siri AI. The speaker also gains a lighting effect called SoundGlow. The price rises to $149, which is $50 more than before. It goes on sale on October 30 as part of Apple&#x27;s wider smart home push. The new HomePod mini is not just a chip refresh, it is part of Apple&#x27;s wider effort to restart its smart home presence, with Siri AI as the main reason for owners of the previous model to upgrade. The price rising to 149 dollars, fifty more than before, is telling: Apple no longer treats the small speaker as a cheap way in, but as a device that has to carry the new artificial intelligence features, which needs more capable hardware. The SoundGlow lighting effect is mostly an aesthetic addition, but it shows the company caring about the experience inside the home and not only about sound. For consumers, the question is whether the voice assistant improvements are substantial enough to justify the higher price, while for anyone building smart home devices or apps, Apple&#x27;s investment means compatibility with its ecosystem will matter more over the coming months, both for new products and for updates to existing ones. (Source: TechCrunch)</description>
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    <title>AI labs pay for the code and records of failed startups</title>
    <link>https://streamcode.gr/en/news/2026-10-13-ai-labs-buy-data-dead-startups/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-13-ai-labs-buy-data-dead-startups/</guid>
    <pubDate>Tue, 13 Oct 2026 09:00:00 +0300</pubDate>
    <description>AI companies are paying for the code and files of startups that are shutting down, to train their models. One founder closing his company received around $25,000 for the codebase alone. Such data is valued because it is real and not publicly available. The practice raises questions about the privacy of the former customers. Buying data from companies that are shutting down shows how much the value of a startup&#x27;s code and records has changed: even when the product fails, the source code, documentation and internal files are real, non-public material that AI labs use to improve their models on genuine programming problems. Around 25,000 dollars for one company&#x27;s code is not a fortune, but for a founder winding down it can cover liquidation costs, which creates a strong incentive to sell as many files as possible. That is exactly where the risk lies, because if those files include customer details, support messages or logs, selling them may breach the terms of service or GDPR, since users handed over their data for a different purpose. For any founder considering such a sale, the right first step is a legal review of what is allowed and a clean separation of code from personal data, and for customers of small vendors it is a reminder to check what happens to their data if the provider stops operating. (Source: MIT Technology Review)</description>
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    <title>Drone strikes expose how fragile Russia&#x27;s data centers are</title>
    <link>https://streamcode.gr/en/news/2026-10-12-russia-data-center-war-ukraine/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-russia-data-center-war-ukraine/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>After Ukrainian drone strikes hit Russian data centers, including Yandex facilities, Russian bloggers are warning about the country&#x27;s vulnerability. Russia&#x27;s digital economy is concentrated in too few sites. The outages disrupted services used by millions of people. The episode shows that digital infrastructure is now a military target. Drone strikes on Russian data centers, including Yandex facilities, bring forward something that is easy to forget: digital services we think of as weightless sit in specific buildings with specific power and cooling, and when those are hit, millions of people lose access to payment apps, maps or messaging. Warnings from Russian bloggers about infrastructure concentrated in too few places show that the problem is architectural as well as military, since a system without geographic spread has a single point of failure. For businesses in peacetime the threat may be fire, flooding, a power cut or an outage at one provider, but the conclusion is the same: critical data and services need copies in a different location and a recovery plan that has actually been tested. European rules such as DORA for the financial sector already require this kind of planning, and the experience of war gives practical weight to requirements some had dismissed as bureaucracy. (Source: Ars Technica)</description>
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    <title>No Man&#x27;s Sky arrives on iPhone and iPad after its long comeback</title>
    <link>https://streamcode.gr/en/news/2026-10-12-no-mans-sky-iphone-ipad/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-no-mans-sky-iphone-ipad/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>Ten years after its troubled launch, No Man&#x27;s Sky is coming to Apple devices. It will run on iPhone 11 or newer and on iPad. The game has become one of the best known comeback stories in the industry, thanks to years of free updates. Now its whole universe fits in a pocket. The story of No Man&#x27;s Sky is now a textbook case in the industry: a game that launched with far less than its makers had promised, took heavy criticism and, instead of being abandoned, kept improving for a decade through free updates until it won players back. Its arrival on iPhone and iPad also shows how far mobile chips have come, since a title built for consoles and PCs can now run on a pocket device, and support from the iPhone 11 onwards covers a large audience. For software makers more broadly, the lesson is about the relationship with users: steady, visible improvement after launch can change how a product is seen, even when the first impression was poor, as long as there is transparency and a reliable update rhythm. For Apple, titles like this strengthen its effort to present its devices as serious gaming platforms, which in turn influences how publishers decide to invest in the ecosystem. (Source: Ars Technica)</description>
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    <title>Meta&#x27;s Muse Wonder brings it back to the AI frontier</title>
    <link>https://streamcode.gr/en/news/2026-10-12-meta-muse-wonder-frontier-model/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-meta-muse-wonder-frontier-model/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>Meta unveiled Muse Wonder, its largest model so far. According to Wired, its results rival the best models on the market. It also includes new safeguards to keep AI agents within their instructions. After a stretch where it seemed to fall behind, Meta is back in the race. Muse Wonder means the top of the language model market gains another serious player, after a period in which Meta seemed to trail its main rivals, and that alone shifts the balance on pricing and availability. The company&#x27;s emphasis on mechanisms that keep AI agents within their instructions shows where competition is moving: it is no longer enough for a model to answer questions well, it has to carry out sequences of actions predictably without drifting when it meets unexpected content. For businesses and software teams, more strong vendors mean more bargaining power and less dependence on a single supplier, but only if applications are designed so the model can be swapped easily behind a stable software layer. The practical advice is to test new models on the business&#x27;s real scenarios before any switch, because general benchmarks rarely predict accurately how a system will behave on your own data and workflows. (Source: Wired)</description>
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    <title>Google&#x27;s Fitbit Edge sits between a tracker and a smartwatch</title>
    <link>https://streamcode.gr/en/news/2026-10-12-google-fitbit-edge/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-google-fitbit-edge/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>The new Fitbit Edge slots in between the Pixel Watch 5 and the Fitbit Air. It costs $179 and has an OLED screen, smart features borrowed from the Pixel Watch and roughly a week of battery life. The battery can even be replaced. It is not a full smartwatch but targets people who want more than a basic tracker. The Fitbit Edge shows Google trying to fill a gap many users recognise: a full smartwatch often needs charging every day and costs a fair amount, while a basic tracker lacks the screen and smart features that make a difference in daily life, such as notifications and apps. At 179 dollars, with an OLED display and roughly a week of battery life, the Edge targets people who want health tracking and a few core features without the bulk and price of a Pixel Watch. The most interesting detail is the replaceable battery, because in wearables the battery is usually the reason a device is retired after two or three years, and being able to swap it extends the product&#x27;s life and cuts electronic waste. The move fits European pressure for repairable devices, and if it sells well it could push other makers to follow, which would help consumers more than yet another bump in specifications. (Source: Ars Technica)</description>
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    <title>US investigators used fake cell towers to locate a journalist&#x27;s producer</title>
    <link>https://streamcode.gr/en/news/2026-10-12-feds-cell-site-simulators-journalists/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-feds-cell-site-simulators-journalists/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>US investigators sought and received warrants to use devices that imitate mobile phone towers to track down a producer working with journalist Don Lemon. A similar request covered journalist Georgia Fort and a Minnesota Senate candidate. These devices also sweep up data from unrelated people nearby. Press freedom advocates are alarmed by the disclosure. Devices that imitate cell towers work by tricking nearby phones into connecting to them first, which lets investigators locate a specific handset but also collects data from anyone in the area who has nothing to do with the case. Their use to find people working with journalists and a political candidate moves the debate from technology to the rule of law, because protecting sources is a basic condition for a free press, and the ability to track someone without the carrier&#x27;s cooperation makes oversight harder. For professionals who handle sensitive information, whether journalists, lawyers or business teams on confidential projects, the practical lesson is that the phone itself is a constant source of location data, and encrypted messaging protects content but not necessarily where you are. In Europe, where GDPR and national laws set stricter limits, cases like this are a reminder that the boundaries of surveillance are decided each time by judicial oversight and transparency rather than by what the technology can do. (Source: Wired)</description>
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    <title>Epic Games reportedly shifts to AI-first game development</title>
    <link>https://streamcode.gr/en/news/2026-10-12-epic-games-ai-first/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-epic-games-ai-first/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>According to Bloomberg, Epic Games is changing how it builds its joint project with Disney, letting AI models write code and produce art. Developers and artists would move into a role of directing and reviewing generated work. The Marvel and Star Wars themed game, expected in March 2027, has been delayed indefinitely. The move shows how fast AI is reshaping software teams. If the Bloomberg report holds up, this is one of the most radical workflow changes at a major studio: developers and artists would no longer produce most of the code and art themselves, but would steer models and review what comes out, which looks more like editing than creating from scratch. The indefinite delay of the joint Disney project is a telling detail, because it suggests the switch is not automatically faster, at least at first, since tools have to be integrated, teams have to learn new processes and quality has to reach a level that can carry a major release. For the software industry in general, the signal is that an AI-first approach is moving from experiments into strategic decisions, with consequences for hiring, roles and production budgets. For smaller teams the calmer reading is to use AI where it already pays off, such as prototypes, tests and repetitive code, while keeping human control over architecture and final quality. (Source: Ars Technica)</description>
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    <title>A Claude test run sent a false murder tip to Philadelphia police</title>
    <link>https://streamcode.gr/en/news/2026-10-12-claude-false-police-tip/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-claude-false-police-tip/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anthropic confirmed that a Claude model mistakenly submitted a false tip about an unsolved murder through the Philadelphia police web form. It happened in July during an internal test where the model was meant to fill in forms without submitting them. The model wrongly expected a confirmation page to follow. The tip had been caught by a spam filter, and the company informed the police in October. This incident is one of the clearest examples of what can go wrong when an AI agent has access to the real internet: the model did not intend any harm, it simply assumed that a confirmation page would appear before anything was final, and a test action turned into a genuine report to a police department. The fact that the tip was stopped by a spam filter was luck rather than design, and the months that passed before the police were told show that even large labs do not always have a full picture of what their agents did during testing. For anyone building AI automation the lessons are practical: tests should run in an isolated environment or against fake versions of real forms, every irreversible action such as submitting, paying or sending should require explicit permission, and logs should be reviewed routinely rather than only when something looks suspicious. The same applies to a small business that lets an agent fill in orders or supplier forms, because the model&#x27;s guess about what comes next is not a safety control. (Source: Ars Technica)</description>
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    <title>Amazon now runs more than a million robots</title>
    <link>https://streamcode.gr/en/news/2026-10-12-amazon-million-robots/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-12-amazon-million-robots/</guid>
    <pubDate>Mon, 12 Oct 2026 09:00:00 +0300</pubDate>
    <description>Amazon, the second largest private employer, now uses more than one million robots across its facilities. The company is betting on automation so it can grow without hiring at the same pace. Ars Technica looks at how human jobs in the warehouses are changing. The open question is whether robots will support workers or replace them. The one million robot milestone is more than an impressive number: it shows that at the world&#x27;s largest logistics company automation has become the default way to grow rather than an experiment, with robots moving shelves, sorting parcels and taking over repetitive motions that people used to perform. The question Ars Technica raises is what remains for workers, and the new roles tend to be system supervision, maintenance, exception handling and quality control, jobs that need different skills and not always the same headcount. For smaller businesses the impact is indirect but real, because customer expectations of fast delivery and low cost are shaped by this level of automation, and competing gets harder for anyone still doing things by hand. The realistic response for a small shop or warehouse is not to buy robots, but to automate what it can in software, such as stock control, shipping labels and customer notifications, so that people spend their time on the work that genuinely needs judgement. (Source: Ars Technica)</description>
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    <title>US midterm races turn data centers into a campaign issue</title>
    <link>https://streamcode.gr/en/news/2026-10-11-midterms-data-centers-politics/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-11-midterms-data-centers-politics/</guid>
    <pubDate>Sun, 11 Oct 2026 09:00:00 +0300</pubDate>
    <description>In Senate and governor races, candidates are competing over who will be tougher on data centers. Residents worry about power and water use and about rising energy bills. The issue now cuts across party lines. The results will shape where and how fast AI infrastructure gets built. Data centers becoming a campaign issue in the US shows how quickly AI has moved from research labs to the average household&#x27;s power bill: large facilities consume huge amounts of electricity and water, and the people living near them want to know who pays for new transmission lines and whether prices will rise for everyone. When the issue crosses party lines, cloud companies can no longer rely only on tax breaks and promises of jobs, and will need to show that they bring their own power or invest in the local grid. For Europe, and for countries competing for data center investment, the American experience is a useful precedent, since the same questions about grid capacity, cooling water and cost will be asked here too. For businesses that simply buy cloud services, the longer-term risk is that prices end up shaped by where and how fast new facilities are allowed to be built, which is worth factoring into cost planning for the coming years. (Source: Wired)</description>
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    <title>AI bots are wasting scammers&#x27; time on purpose</title>
    <link>https://streamcode.gr/en/news/2026-10-10-ai-scams-the-scammers/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-10-ai-scams-the-scammers/</guid>
    <pubDate>Sat, 10 Oct 2026 09:00:00 +0300</pubDate>
    <description>Anti-fraud groups are increasingly using AI to turn the tables on scammers. Convincing bots pose as potential victims and keep fraudsters busy in pointless conversations. Every hour spent on a bot is an hour not spent on a real person. The chats also reveal how the scams work, which helps defenders. Using bots to waste fraudsters&#x27; time is not a new idea, but modern language models make it far more convincing, because they can keep a conversation going for hours, imitate hesitation or confusion and reply in several languages with no human involved. The economics are simple: fraud is a business with limited staff, and every minute a scammer spends on a fake victim is a minute not spent on a pensioner or an unsuspecting bank customer. There is a second, less visible benefit, because those conversations become material for security teams, who learn the scripts, the fake bank details and the pressure tactics in use, and can update filters and warn customers more quickly. For banks, telecom providers and online shops, where text and phone scams keep growing, the message is that defence can and should be automated as fast as attack is, while still respecting data protection rules when those conversations are stored and analysed. (Source: Wired)</description>
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    <title>Refusals alone will not keep AI models safe</title>
    <link>https://streamcode.gr/en/news/2026-10-09-too-much-faith-ai-say-no/</link>
    <guid isPermaLink="true">https://streamcode.gr/en/news/2026-10-09-too-much-faith-ai-say-no/</guid>
    <pubDate>Fri, 09 Oct 2026 09:00:00 +0300</pubDate>
    <description>Today&#x27;s AI models are trained to turn down many requests, from dangerous instructions to sensitive topics. MIT Technology Review argues that this habit of refusing is not enough as a safety mechanism. Refusals are often bypassed with clever prompts and do not address the deeper risks. Real safety needs several layers, not just a chatbot saying no. The MIT Technology Review argument touches something we see in almost every project built on language models: teams rely on the model refusing harmful requests and skip the ordinary controls they would put on any other system, such as per-user permissions, action limits and audit logs. A refusal is a behaviour the model learned from training data rather than a rule written in code, so it can shift with a new model version, a reworded request or instructions hidden inside a document or web page the model reads. For a business putting a chatbot or agent in front of customers, the practical lesson is to give the model access only to what it needs, route sensitive actions such as refunds, account changes or outgoing emails through a separate check or a human approval, and log every tool call so it can be reviewed later. That way, even if someone does manage to trick the model, the damage stays contained, and safety no longer depends on whether a statistical system happens to say no at the right moment. (Source: MIT Technology Review)</description>
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