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wtvy.com

Artificial intelligence transforms the workforce, regulations

WASHINGTON (Gray DC) - Nearly all industries have been impacted by Artificial Intelligence. Goldman Sachs estimates 300 million jobs will be impacted by the emerging technology by 2030. AI is reshaping industries by the day, resulting in jobs being transformed or erased. The changes are bringing a greater need for AI oversight. “People need to understand that there still needs to be human involvement,” Barry Jones, a Vice President at X2X said. X2X is an AI governance company. Jones said there’s not enough oversight AI oversight right now. “Imagine an AI assistant preparing financial reports,” Jones said. “That’s a potentially productive tool. But just imagine if that AI system provided that critical financial information outside of the company’s internal workings.” Before Congress left Capitol Hill for the midterms, several congressmembers made clear where they stood on what role the…

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Earnings

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gulfnews.com

Google unveils Gemini 4 Carbon with top AI benchmark score, expands focus on cybersecurity

Google unveiled Gemini 4 Carbon, its latest AI model that detects software vulnerabilities New Delhi: Google has unveiled Gemini 4 Carbon, its latest artificial intelligence (AI) model, which ranks first on the Artificial Analysis Intelligence Index with a score of 59 and shows improved capabilities in detecting software vulnerabilities, exploiting them for testing and developing fixes. According to a blog post, the model will initially be made available to a select group of cybersecurity defenders this week, before Google gradually expands access to trusted partners through its Fairwind Program. The company plans to make it available to developers, businesses and consumers after gathering feedback and improving safeguards. Carbon follows Gemini 4 Argon, launched two weeks ago, and is designed to handle complex, multi-step engineering tasks over longer periods. Google DeepMind said the…

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Developer Tools and Coding

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leanzero.net

I ran MiMo V2.6 Flash local on two Mac Studios over Thunderbolt 5 RDMA

Why should you care if you're not about to buy two Mac Studios? Most of what I read about running big models locally stops at whether the weights fit. Making the weights fit took some arithmetic. Keeping two Macs in step, token by token, for five hours took far more of the effort, and so did getting the model to see. It's one run per setup on one task, so read it as a field report. Our Gauntlet benchmark gives an agent 150 model calls to build a payments console: two backend services, a web UI and a 3D field of payment towers, scored on 99 checks. It also has an admission rule. If certain 3D checks fail, the score cannot pass a ceiling, however much credit the rest earned. I read all three runs from the board on 29 October: Cloud, OpenRouter pinned to Xiaomi 2 h 08 min Local, 2 Macs, vision, 256k 4 h 51 min Local, 2 Macs, text-only, 120k 4 h 32 min The live board is the current word if…

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When AI Guardrails Expose Vulnerabilities

CrowdStrike researchers asked a frontier AI model to explain a function in a small C web server. While it had previously explained every other function in the codebase without hesitation, it refused to explain this one. The…

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APIs and SDKs

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dev.to

Google's Gemini 4 Carbon: A Security-First Frontier Model You Probably Can't Use Yet

Google unveiled Gemini 4 Carbon on Wednesday, October 28, 2026 — its latest frontier AI model, and the second new Gemini in a fortnight. It arrives just two weeks after Gemini 4 Argon, and it has a much narrower job description than a general-purpose flagship: coding and cybersecurity, done properly, over long and complicated jobs. That focus is what makes Carbon interesting. It is also why most developers reading this cannot actually try it yet. Let's separate the two halves of the story: what Google says the model can do, and who can actually touch it today. Carbon is a frontier model in the Gemini family, aimed at developers and enterprise customers. Google is positioning it directly against OpenAI and Anthropic in the race for more capable coding and cybersecurity systems — the part of the AI market where a model that writes plausible-looking code is no longer enough, and a model…

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