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ontext stays server-side, reducing parsing round trips; Eager and concurrent tool execution while model streams; Graceful failures; Live SSEs of every granular step and additional metadata for observability; Mixed tool support (client and hosted tools) One platform for models and agents Baseten has focused on making models fast, reliable, and easy to operate in production. Baseten Hosted Tools expands that foundation to the capabilities models use at inference time. Baseten Grounded Inference is

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n Context stays server-side, reducing parsing round trips Eager and concurrent tool execution while model streams Graceful failures Live SSEs of every granular step and additional metadata for observability. Mixed tool support (client and hosted tools) Baseten has focused on making models fast, reliable, and easy to operate in production. Baseten Hosted Tools expands that foundation to the capabilities models use at inference time. Baseten Grounded Inference is the first step. Over time, we’ll a

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an perform at a high level in their area of expertise without needing to be supervised; Someone with a strong capacity for self-improvement and self-directed learning, grounded in metacognition; Someone with the ownership to keep widening their scope of responsibility rather than defining it narrowly; Someone who has the conduct, mindset, and character to earn the trust of others from scratch, even without a title or position; Someone with the courage to take risks without hesitation when needed

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g chaotically through massive linear lists when processing Big Data. Instead, we rely on geometric indices and statistical data skipping techniques –leveraging minimum and maximum metadata – to bypass gigabytes of irrelevant records in a single bound. The breakthrough of this architecture stems from the deliberate choice to borrow these advanced software concepts and graft them directly onto the silicon structures of the L2 and L3 caches. The core thesis here is not about rewriting how compute c

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per benchmarks: vertically integrated labs producing proprietary data, models trained against scientist-calibrated rewards, and deployment back into experimentation. The strongest meta-observation came from @richardczl : every company with a meaningful data moat will likely try this play, shifting bottlenecks toward RL rollout throughput, verifier compute, and weight sync . Gemini 3.8 Live and the Push Toward Real-Time Voice Agents Google’s new live audio models : Google launched Gemini 3.8 Live

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going “red-free” has been especially challenging; Brushless motors: Speedy UAV maneuverability demands powerful turns from motors, which in turn requires neodymium — a rare earth metal China produces around 90 percent of. Estimates for the cost of replacing Chinese motors with non-Chinese ones vary from double to a tenfold increase. The risks of dependence were illustrated by Chinese rare earth export restrictions in April 2025, which reportedly caused prices for some defense components to incr

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g AA's speech-to-speech quality ranking. Odyssey introduced Odyssey 3, a world model that can control robot arms, humanoids, self-driving cars, drones, and games, set to release in the coming weeks. A 404 Media report detailed OpenAI’s ‘Project Lily’, finding that hundreds of human contractors read and rate real ChatGPT chats, often without the user’s knowledge. Meta rolled out Meta One, a new paid tier across its apps running from $2.99 to $499 a month for extra Meta AI usage and creator tools.

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attention BMM scaling parameters. Figure 3. NVFP4 KV attention decode kernel design Each block of 16 NVFP4 values occupies eight bytes of packed data plus one byte of block-scale metadata. Compared with 16 bytes of FP8 data, that is: In other words, the packed data and block scales require about 56% of the storage of FP8 for the same number of K/V values. This calculation excludes the small global-scale metadata and other pool or workspace overheads. It explains the opportunity to reduce GPU me

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fit’ like the iPad was.A lot of people buy iPads and then never use them: they either use their smaller, more portable smartphone (which could be the equivalent of the CLI in this metaphor), or their feature-rich laptop (the equivalent of the IDE).Also, don’t forget that in November, Antigravity came out as a VS Code fork. This added to the feeling that perhaps we should have also forked VS Code for the Codex app. But still, we dismissed the temptation and went with our gut feeling that as AI ag

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es reports. Dutch AI-chip startup Euclyd raised $230M in a Samsung-backed round to take on Nvidia with a more energy-efficient inference chip. Instagram is testing a $7.99-a-month Meta One subscription that gives users more access to its new AI photo-editing effects after free usage limits are reached. Maersk plans to test a 115-ft. spinning “rotor sail” from Anemoi on a container ship, using wind to cut fuel consumption and emissions. Amazon is pausing cargo operations with 21 Air, the carrier

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iences for everyone is really hard, but I just don’t feel the magic yet. It also feels slow. I’ll wait for Muse access to see what that’s like, but I don’t love the idea of giving Meta access to more info about me…they’re not the most reliable of privacy partners. And another thing - you don’t see by default what these agents remember about you, or what context they have. I really like being able to see and edit what’s in my files to steer my agents. Much like every app adding an AI assistant ch

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at I think is sustainable. Nathan Lambert: You can also imagine a future where in six to nine months we’ve been pacing the frontier at xAI — SpaceX AI — Anthropic, and OpenAI, and Meta keeps crushing it but isn’t pacing. The independent evaluators are at those three orgs and have all found the same absolutely critical failure mode, but it’s all private information at the separate orgs, NDA’d at the evaluators, and Meta doesn’t have them and just YOLOs it and unleashes the bad thing. How do you d

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t in what scenarios. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Thank you to Jensen Huang, Ian Buck, Nick Comly, Kedar Potdar, Rohit Nagraj, and the Mainland China Tensor

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Phone cache, how to download the iOS 27, and how to block cookie pop-ups online. Please accept cookies to view the comments powered by Disqus. The Latest from Kerry I wore Ray-Ban Meta Audio glasses in public, and my biggest concern never came up; I’m an Android Auto ride or die – but Apple CarPlay beats it on these 3 features; Ray-Ban Meta Gen 3 or Audio? How I’m deciding amid the growing ‘creep’ factor Further ZDNET Tech Coverage Best Android phone; Best Samsung phone; Best rugged Phones; Best

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se, Agility is firmly in the GPU-on-robot camp. Network reliability and latency are real concerns, and factories are especially tough environments for wireless connections: moving metal, heavy machinery, multipath interference, and a robot that drops line of sight every time it passes a shelf, roaming between access points as it crosses the floor. It is possible to engineer around all of this and get a network reliable enough to offload compute. But that means reworking a customer’s network and

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any legal action against OpenAI, which appears to have committed a crime that gets you anywhere from a year to a decade in the slammer. The fact that LLMs from both Anthropic and Meta have been involved in similar incidents is a sign that we need to arrest more people. Editor’s Note: When the late Kevin Mitnick was eventually arrested and sentenced to 48 months in prison (plus a further 22 months for violating the terms of his parole), prosecutors argued that he was capable of launching nuclear

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DeepSeek Flash fine-tune ⚙️ SWE-2 - Cognition’s powerful new coding model inside of Devin 🎵 Music v2.5 - ElevenLabs’ latest music AI for richer melodies, long-form songs 🤖 Muse - Meta’s new always-working personal AI agent Amazon Connect Customer - design, govern, and deploy agentic conversational AI across every customer surface. Streamline workflows. Give customers what they need the first time . OpenAI CEO Sam Altman told Fortune that the company won’t IPO in 2026, saying right now would be

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ares peak at a 234% gain before closing up 188%, valuing the company near $25.5 billion. Enflame is the last of China’s “four AI chip dragons” (alongside Moore Threads, Biren, and MetaX) to go public, and the frenzied reception underscores how much investor appetite Beijing’s semiconductor self-sufficiency push has generated — even as the debut immediately reignited debate over whether China’s humanoid-robot and chip IPOs are running ahead of fundamentals. (Bloomberg/Reuters/SCMP) Anthropic accu

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ributed failures Lack of visibility in complex and decentralized workflows makes it difficult to find root causes when failures occur. You can resolve this by adding observability metadata over the orchestration layer. It tracks and documents dataflows so that your team can use the execution history for troubleshooting problems. n8n’s approach to process orchestration n8n provides builders with a visual control plane where you can coordinate both deterministic and agentic execution in one unifie

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to these off-balance sheet guarantees and backstops is the same one we described in The Front End Gets Crowded (institutional article). The Gigascalers (Amazon, Microsoft, Google, Meta, Oracle) have been gatekeeping the investment grade capital that the AI buildout runs on and have benefitted tremendously from the high spread between offtake price they are being charged, and spot/short-term price that they are selling at as well as services that sit on top. In response, Nvidia has been manufactu

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