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ntainer do not affect the workspace file. How do I download a file the model created? Use the container files endpoints under /api/v1/containers/{container id}/files to list, read metadata, and stream content. To keep a file for the long term, promote it to a workspace document and it gets a new or file id. What is the difference between openrouter:shell and openrouter:bash? openrouter:shell is the OpenAI-compatible tool and runs commands server-side by default. openrouter:bash is the Anthropic-

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ate slots, and block tables in the serving engine. Optimizing Communications With DP attention and EP, the TPU GroupedGEMM implementation all-gathers token activations and routing metadata before the experts run, then uses reduce-scatter to sum their weighted outputs and return each token’s result to its attention rank. The backend originally gathered the selected expert IDs and routing weights separately. Google combined these into one all-gather, removing an extra collective whose latency can

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t The Rundown University . How do you use AI? Tell us for a chance to be featured. 🌟 GPT-6 Astra - OpenAI’s next-gen frontier model, now available on paid plans 🪄 Muse Spark 1.3 - Meta’s new model for long-horizon coding and agentic work 📶 Claude Fable 5.1 - Anthropic’s top-ranked frontier model 🎶 Lyria 3.5 - Google’s AI music model with upgraded vocals, now in Gemini Claude agents wrote the first computer-verified proof of Fermat's Last Theorem in 11 days, a job mathematicians had budgeted year

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d this. Like, if you believe truly in the value of data, instead of doing mech interp, you’d probably just be building the environments to do mech interp. Similarly, on a somewhat meta point, if you believe in the value of RL environments, you should probably not be making RL environments, but indeed making RL environments to make RL environments. (I guess you would do this if you believed in RSI, and not otherwise.) Another perhaps non-obvious point to make is about how valuable different types

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times use on-demand Python code to read and manipulate files at times, but Astra does it really quite excessively for me. Now here is an important disclaimer: this project is very meta here because I worked on the CPython interpreter. But I can assure you that I have seen this model do weird Python things even in TypeScript code in Pi. But I have the most evidence of odd code from when I had the thing work over the weekend with zero oversight from my slop factory. That it writes Python is not in

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ription, an eye-popping number even by STAR Market average. Enflame is one of the four domsetic chip upstarts to complete a mega-raise this year, after Moore Threads ($8 billion), MetaX ($4.2 billion), and Biren ($897 million). Unlike those rivals, it’s betting on domain-specific chip architecture over general-purpose GPUs, and it will need that raise to wean itself off heavy revenue dependence on backer Tencent. (SCMP/Reuters/Bloomberg) Tencent’s frontier model made the week’s biggest jump, and

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le product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! Related Stories MAI-Transcribe-2 is the fastest, most accurate and cheapest speech recognition model in the world MAI-Code-1.1-Flash: Better, faster, at a quarter of the cost MAI-Image-2.6 launches at No. 2 on Arena ahead of Google, Meta and xAI

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define the Auth Gateway interface. Add Rego policy evaluation with the OPA Envoy Istio example . Review Authorino for an integrated reference covering JWT and API-key validation, metadata enrichment, policy decisions, and trusted upstream headers. Powered by NVIDIA Nemotron. AI-generated content may summarize information incompletely. Verify important information. Learn more Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, ope

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nts explore the impact of different numbers of European and Japanese samples on elastic net performance when applied to variants discovered through a large-scale European GWAS. b) Meta-analysis experiments integrate population-specific GWAS results into the generation of variants used for elastic net model development. c) PRS-CSx experiments fit the PRS-CSx model on a variety of population-specific sample sizes. Sample sizes in UKB and BBJ for the eight traits explored in this study. For each ex

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neers has a single engineer run each project, and says the approach works well. Will this approach be adopted elsewhere, especially at other full-remote startups?; Industry Pulse. Meta moved over to Slack for better agent interoperability, layoffs at Uber and PagerDuty, Anthropic upsets users by calling a rate limit decrease an “increase”, token usage explodes on OpenRouter, AI drives surging demand for Apple’s Mac Mini & Mac Studio, and more 1. New trend: moving to open models at tech companies

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typically includes the trajectory (the timeline of events), observations (sensor data like images, point clouds, and force feedback), the robot state, actions taken, and relevant metadata. From my perspective, it really comes down to two main categories: human data (often called robot-free data) and robot data. Human data simply means data collected through human without involving robots, including web video, egocentric footage, universal manipulation interface (UMI), and motion capture (mocap)

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ur upcoming Machine Earning AI Summit will explore agentic commerce, intelligent money, enterprise finance operations, the evolving consumer and shopping experience, and the major meta-themes including fraud, risk, compliance, and security. The summit will be held on September 29 in San Francisco. Read on for a story and a market map examining a subset of the companies who are working on agentic shopping, smart payments, and the next-gen infrastructure rails that will power transactions. This ye

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reduced the cost of caching inputs for Fable by 75%, making API usage about 25% cheaper than before. OpenAI’s Astra is also coming soon (rumours say today). Another new model from Meta - Muse Voice transcribe looks really insane for transcription use cases. I wish it were open-source. Gemini models can now decide which bits of a video are worth watching . Instead of sampling a video at a fixed frame rate, it searches across frames, audio and transcripts for the moments it needs. 88% fewer tokens

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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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