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said. “Once those models are out in the public, they can’t be put back in the box.” “Regardless of what countries choose to do, they should be aware that if their actions are encouraging an open-weight ecosystem, this is part of a broader risk that the world is taking,” he continued. Anthropic CEO Dario Amodei has pushed AI companies to slow their releases by a year or two, to let oversight and security work catch up. The safety debate has intensified as researchers document AI agents from OpenA

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lectures, Thiel questioned why so many public figures are weighing in on AI, and singled out Obama and the pope. “Many people know that AI is politically unpopular and want to leverage that to boost their own popularity,” Thiel said. “Both Obama and the pope fall into this category. Obama knows the Democrats have no ideas, but they can at least oppose AI.” Obama recently urged Democrats to develop a clear AI plan. At a September fundraiser, he told House Minority Leader Hakeem Jeffries that Demo

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, the more important it is to bring people together in meaningful ways, strengthening bonds between teams and different parts of the business. Our local leaders and teams are encouraged to prioritize communication and to learn from each other by sharing best practices and knowledge. We’ve been intentional about creating global communities which are built around our clients’ priorities but provide our people with opportunities to work together towards a common goal – our clients’ success. When pe

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— starting with its many child victims.” Indeed, earlier this year, OpenAI CEO Sam Altman outlined a public wealth fund that would distribute AI revenues to people, partly to encourage them to invest in AI companies. A representative for OpenAI didn’t immediately respond to a request for comment. ChatGPT knew a user was only 12 The lawsuit filed this week detailed several exchanges between the 12-year-old girl plaintiff (referred to as “MC1”) and ChatGPT. At one point, the girl said she was only

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tween the two. Google is still keeping the free plan around, which leaves everyone with access to Flash-lite. Of course, these subscriptions tie into Google Workspace for cloud storage and other perks, like YouTube Premium. Still, the $4.99/month plan seemed like a good deal for those who wanted access to more capable models for more than just passive chats. More on Gemini: Google Home update rolling out with improved Favorites, more app & Gemini fixes Google Antigravity is now built into Gemini

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t below. The Lenovo Chromebook Plus 14 was one of the first to ship with MediaTek’s Kompanio Ultra chip, and this particular config pairs that with 16GB of RAM and 256GB of UFS storage. It also sports a 14-inch OLED touchscreen with a 1920 x 1200 resolution, which gives it a much nicer display than the basic panels you’ll usually find on more affordable ChromeOS machines. You’re also getting Google’s AI-powered Chromebook features here, including Smart Grouping and tools in the Gallery app for t

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ox in the output). A region with the same two boxes stays where it is. This example moves the knitted knight up and to the left, and pins the backdrop, the cliff, the needle, the dragon, and the fire: Base model and quantized variants Base model Everything above uses the distilled checkpoint. The base checkpoint runs 50 steps with classifier-free guidance, and it's the one to fine-tune (see LoRA finetuning ). Single-file format checkpoints Black Forest Labs also ships the transformer as a single

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global technology policy, including work shaping India’s net neutrality framework. As part of the founding team at CricInfo (later acquired by ESPN), he pioneered live sports coverage online, and he later built a commercial GPT-3 application before ChatGPT’s release — reflecting a career spent bridging research with entrepreneurial deployment. Phil Venables spent 17 years as Goldman Sachs’ first Chief Information Security Officer (CISO) and later became Google Cloud’s founding CISO, where he le

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, top systems are separated by output conventions and overfitting, not reading. Each olmOCR-bench test also sits in 1 bucket, set by its page’s source. A handwritten table gets averaged into whichever bucket its page landed in. ParseBench from LlamaIndex splits parsing into 5 capabilities, each with its own metric. Datalab argues those scores share no unit, so they cannot be compared or combined cleanly. How does OmniParseBench scoring work? The final score is the mean of 3 family scores: text,

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ections search, web search, X search, remote MCP servers and custom functions. How does Grok Voice 3.0 perform on benchmarks? The AA Speech-to-Speech Index is an equal-weighted average of 4 components. Those are Big Bench Audio reasoning, τ-Voice agentic performance, Speech Agent Arena preference and task success rate. Grok Voice 3.0 scores 86.9. GPT-Live-1 (Astra, medium) scores 83.2, Gemini 3.8 Live Extended Thinking 82.6. Grok Voice 2.0 scored 81.3. Component results are strong, not uniformly

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Add as a preferredsource on Google Open Source Summit Europe 2026 (OSS EU 2026) took place in Prague, Czechia, from October 7 to 9. On October 8, Min Liu, Executive Director of openKylin, delivered a main-stage keynote titled “From AI Runtime to System Agents: Reimagining Linux for the AI Era with openKylin,” introducing KART, a unified AI runtime, along with a system-level agent execution environment. Jianfeng Li, a member of the community’s Technical Committee, also delivered a lightning talk

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y skill. A worked example shows how agents learn the way team leads actually close out a sprint. CLiF targets the pains slowing agent teams, including evals, context bloat, cost, fragmented stacks, and shadow AI usage, and runs fully self-hosted. What Agent Tracing Misses Most agent observability today is centered on the agent. Tracing tools capture prompts, tool calls, and model outputs, which shows where the agent went wrong while leaving the correct path out of view. Product analytics covers

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l violated state consumer protection laws by hurting children and deceiving adults.Recommended Video The company’s chatbot model, ChatGPT, is giving dangerous medical advice, encouraging paranoia and coaching people to hurt others or commit suicide, Iowa’s lawsuit said. At the same time, the chatbots are pretending to be agreeable and compassionate while preying on the vulnerable, according to the lawsuit. “OpenAI is hurting kids and they are lying to Iowans,” Iowa Attorney General Brenna Bird s

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ying or arrogant or both,” Mayer told Fortune executive editorial director Diane Brady on stage at the annual Most Powerful Women Summit in California, when asked about the debate raging over the frontier AI labs. The uncertainty cuts both ways, said Mayer. “We have to acknowledge that there is a possibility that things won’t go well,” she said. But Mayer put the odds of a negative outcome at “well less than 50%,” noting that even some AI doomers would agree with her. “What that really means is

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72.4% queue reduction) and sorted the remaining 37 by owner with no unassigned tickets left. Migrating legacy code: For decades, vital scientific research has been locked inside fragile legacy codebases like Fortran. Using a custom skill within Antigravity, a team deployed Argon to map and execute a complete rewrite into modern Rust. Argon autonomously delivered the modernized codebase, achieving a 1.8x performance boost and memory safety while giving scientists a robust foundation for future w

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will still be trusted many decades from now. Magnetar makes major progress on all three challenges. It proves programs written in Rust, Go, or C, runs 10 to 39 times faster on average than the prior fastest comparable systems, and rests its security only on standard hash functions. It is the latest result of more than a decade of research at Microsoft Research on making zero-knowledge proofs practical. A new form of computing Every result a computer produces comes with an implicit question: did

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he separate Indic Translate workflow described below. The twelve-language workflow For these twelve languages, we translate documents in full so the model can use context across paragraphs, tables, and equations. We selected Gemma-4-31B-it by comparing models on complete documents, checking translation quality and preservation of technical content. Our prompts distinguish prose to translate from content to preserve, including code, equations, URLs, and formatting. After translation, we use the s

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larger, sparser model than MAI-Base-1, trained on more data. We trained MAI-Base-2 on 16k GB200 GPUs over 38 days in August and September 2026. Over the course of the run, the average MFU (model FLOPs utilization) was 21% and the goodput (the fraction of time training progressed) was 89%. Our MFU is normalized by 2.5 PFLOPS (GB200’s theoretical max in BF16) and excludes FLOPs for rematerialization and the optimizer. We compare pre-trained models on held-out text using bits-per-byte (BPB), which

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ature parity with Facebook Groups in eight weeks, with AI handling much of the routine implementation so engineers could focus on architecture, product decisions, and quality. Leverage that lasted: After launch, agent-driven investigation helped engineers triage and root-cause user feedback. The AI did more than generate code. It tightened our quality loop, helping a small team deliver a high-quality app with less ongoing rework. Acknowledgements We thank Neeharika Sinha, Jane Kou, Gang Yang, Gu

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se positive calibration stays above 99%. Realism improves to matching Opus 4.6 despite not being independently optimized. Error bars are 95% CIs across seeds, with n=3 rollouts averaged per seed. What did the auditor learn? We apply contrastive clustering, following Clio (Tamkin et al., 2024), to 81,000 evaluation transcripts: a small extractor summarizes each transcript's strategy in one paragraph, the summaries are embedded and clustered, and the clusters are named contrastively and rolled up

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