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. The disappearing interface By the end of the project, much of the design work involved taking things away. We removed window and panel controls, computer-view options, and agent metadata. We also set practical limits of roughly 50 Bots per account and six per group chat. Each decision came back to the same question: Did this help someone delegate, or did it give them one more thing to manage? The line between operating an AI and delegating to a coworker keeps moving as models improve. Grok Bot

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orch function intercepts supported operations such as view, narrow, split, permute, contiguous, and dtype casts, appending each one to an operation chain. Equivalent operations on meta tensors propagate the resulting shape, stride, and dtype without touching live model storage. When the loader reaches its terminal copy , we record a RecordedCopy: the original trainer source, the complete operation chain, and the exact destination module, tensor name, offset, shape, and stride. This connects a lo

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deadly misidentifications, Qwen3.8-27b led the pack there too, calling poisonous mushrooms edible 36 percent of the time, with Qwen3.8-flash following close behind at 30 percent. Meta’s Muse-spark-1.2 led with just an eight percent false positive rate, but Migdał said that’s an anomaly due to the fact that the model simply declined to guess - the right move in a situation where a bad decision could be deadly for a user. "I am surprised that the top generalist off-the-shelf models were able to i

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and the preinstalled apps you should delete from your Samsung phone immediately. 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 The Latest from Prakhar This foldable phone might be the iPhone Duo’s fiercest rival – if no

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flow Visit The Rundown University . How do you use AI? Tell us for a chance to be featured. 🚀 Claude Fable 5.1 - Anthropic’s new top-ranked model upgrade 👂 Muse Voice Transcribe - Meta’s live speech-to-text AI, tracks 20+ speakers 👁️ Gemini - Google’s AI, now with efficient agentic video understanding 🎨 Google Pics - Google's Nano Banana image editor built into Docs and Slides OpenAI restarted the training run for future Astra versions that it froze after the Hugging Face breach, rating Astra as

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n. Farage was, until Keir Starmer’s ouster, the bookies’ favorite to be the next UK Prime Minister. Meanwhile, in 2022, the largest tech companies in the world (Microsoft, Google, Meta, Amazon and NVIDIA) had hit a rough patch of flat-to-low growth after desperate measures had failed to help. While both the media and world governments were adept at making moves to sustain systemic thinking — that the system or systems know best and must be protected (we must prop up banks, we must make sure we’r

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t gradient updates from evaluation, right? The model’s trained. Now they’re trying to see how good it is at cyber hacking. It turns out, very good. You know what? It’s ironic in a meta sense. In the original sense of how the scorer would grade it, it got the problem correct because it cheated. In the greater sense of “did it live up to the spirit of the scorer”, it obviously cheated, so it didn’t. But in the most meta sense of how good it is at exploiting cyber vulnerabilities, it got 110 out of

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banning virtual personalities outright. The move follows backlash over an Instagram AI tool that used people’s public photos to generate their likenesses without explicit opt-in; Meta later pulled it. Why it matters: A Wired investigation this year found more than two dozen accounts featuring AI influencers promoting the dating app Goose, and the NYT counted hundreds of AI-generated wellness personalities pushing supplements in July. The disclosure rule follows Meta’s $18B settlement over socia

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t. ( tweet ) Software engineering fundamentals you need to become an AI engineer. £100M of UK government contracts for British AI startups - upfront payments, no turnover minimum. Meta’s coding agent is out of beta and installs with one command . Someone else can test that claim. Not me :) Matt Huang @matthuang GPU World: A story competition from Neal Stephenson, Gwern, and me. The AI future is unevenly distributed. What would the world look like with AI broadly diffused, such as if we had one G

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be featured. 🎇 Fireworks - Train an open model to be better, faster, cheaper on your work 🦀 OpenClaw 2.0 - Open-source personal agent, now with multiplayer sessions ⚙️ Muse Code - Meta’s terminal-based AI coding agent, now out of beta 🏛️ Hermes Agent - Nous' Pantheon update turns its agents into a group chat Sponsored Listing SpaceX’s Starshield AI rolled out Grok for Government on the Pentagon’s internal platform, opening the model for non-classified military use across its 3M employees. OpenAI

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render Every one of the five tools returns a ToolReturn. The model sees return value, the text, with a Sources: block appended when the tool has citations. Your application reads metadata['sources'], the same sources as YouSource records: The model never sees metadata, so nothing here competes for context, and the footnotes in your UI never depend on the model repeating a URL correctly. web search puts the response's search uuid and latency in there too, which is what you want in a trace when a

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AI where their data lives, not the other way around,” he said. “They want to bring data to the model and not model to the data. But building this entire AI infrastructure from the metal to the module is a very manual process, where they have to stand up the infrastructure, put together the server with the right GPU size and form factor, bring the networking, the storage requirements, the Kubernetes for container workloads, the AI software stack, and different kind of models, be it SLMs [small la

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akub Pachocki and Mark Chen, respectively the chief scientist and chief research officer at OpenAI; Dario Amodei, cofounder and CEO of Anthropic; Shengjia Zhao, chief scientist at Meta AI; Shane Legg, cofounder and chief AGI scientist at Google DeepMind; and John Schulman, the chief scientist at Thinking Machines. Looking at the METR report, it seems clear that AI-model capabilities have already advanced beyond our ability to understand and control them. Some of the signatories of “Pacing the Fr

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rk Twilio calls attach the call SID and your custom TwiML parameters as participant attributes; WhatsApp callers join with their phone number as the participant identity, plus any metadata you pass in the request To everything else in LiveKit, a phone call and a WhatsApp call look exactly like a browser user. The participant model also carries into your operations. Connector calls show up in the LiveKit Cloud dashboard alongside your SIP and web sessions, with the same session logs and analytics

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y are compacted and moved to the next level - this allows for an optimization of the combined screening and data writing costs. Each segment also carries a dataset tag and lineage metadata describing where its keys originated. This provenance is not stored as a separate afterthought: it is part of the physical organization of the index. PUFFER operates on this state through four main operations: screen, commit, compact, and withdraw. Figure 1: A schematic of the PUFFER deduplication engine. For

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ffective resolutions up to 1536³, handling complex topologies that earlier methods struggled with. It also shipped with a PBR texturing model generating base color, roughness, and metallic maps. Ten months is an eternity in generative AI, yet Trellis.2 hasn’t just aged well, it has become foundational. Several open-source 3D models released since build directly on it, the most notable being Pixal3D whose implementation uses the Trellis.2 backbone. The community got there first As always, the Com

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out are going to dominate Nvidia’s own sales. This is a customer pull, not a vendor push. Enterprises, for sure, are going to want Ethernet, and so do the AI model builders – even Meta Platforms, which has given InfiniBand its time in the limelight on earlier AI clusters. The old adage in the networking space is that Ethernet always wins. And it does. And that is because it steals every good idea from any fabric that can be broadly applied across enterprise networks as well as nichey stuff in HP

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complex ipde scores , plus per-chain and pairwise arrays and full pae / pde matrices (up to 1360×1360 for the complex). The one requested field the service left empty was runtime metadata ( metrics: {} ). Because the workflow also ran single-sequence (no-MSA) predictions, the value of Stage 1 can be measured directly. For the heteromer, the interface pTM (iPTM), the metric that reports on the predicted contact between the two chains, collapses without an MSA in both models: Figure 2. Heteromer

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inforcement-learning stack that brings programmable biped robotics down from $13K research hardware to less than a phone. Also today: ICE’s multimillion-dollar robot-dog plans and Meta putting robots to work inside its data centers. In today’s robotics rundown: Hugging Face’s cute open-source duck robot ICE is adding robot dogs to its arsenal Meta’s data centers are becoming robot test labs This robot swarm builds from the top down LATEST DEVELOPMENTS Image source: Hugging Face The Rundown: Hugg

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er case, researchers used Julia to create a program for avoiding aircraft collisions. They found it ran about 50 times faster than an earlier version built on Python. Engineers at Meta used Julia to develop a better audio codec for WhatsApp’s 4 billion users. “Over the years we’ve seen industrial, government, and academic users doing all kinds of interesting things with the Julia language,” Edelman says. “It’s honestly surprised us in many ways, the wide-ranging things people are using it for.”

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