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, Rohit Nagraj, and the Mainland China TensorRTLLM Team for helping on doing next gen Rubin software bring up and helping verify our agentic benchmark results. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, NVIDIA, & AMD and soon SambaNova & Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UA

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pt. Use the container from September 10, 2026 ( ghcr.io/nvidia/jax:maxtext-2026-09-10 ) or newer. For more details, refer to the container images section of the NVIDIA/JAX-Toolbox GitHub repo. MaxText configuration ( MaxText moe configuration.md ): te moe block: true te gmm quantization: "te mxfp8" ragged buffer factor: 2.0 te ep overflow check every n steps: 20 sparse matmul: true prefuse moe weights: true Performance reproduction for DeepSeek V3 To exactly reproduce the DeepSeek-V3 671B result

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more reliant on those tools and that they have become much more aggressive editors and it gave me pause. Yet, I also think that plenty of people will find a “100% AI” rating misleading when in fact the author has done plenty of editing. But maybe it’s fair to have this to show up as entirely AI? Content licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. Contact me via mail, bluesky, x, or github. You can sponsor me on github. Color scheme: auto, light, dark.

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en as a geopolitical power, at least in the US, and maybe to some lesser degree in China. And I know I use “public” loosely here. PyPI is not a public project, nor are RubyGems or GitHub. But they’re part of the Open Source commons and large AI companies are currently doing a tremendous job at stressing these in an effort to train ever more powerful models. We should be glad that China is currently massively bailing out the world. If it were not for Chinese labs distilling American models, we wo

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the beginning of August, our software factory spanned four connected states of engineering work: Requirements, Ticket, PR, and Prod. Our factory loops connect Linear for tickets, GitHub for pull requests, Slack for product feedback, and Slack + PagerDuty for incident response. Specialized agents operated on the transitions between those states, automating the mechanical work required to move ideas forward while preserving human ownership of consequential decisions. Once a PR is merged, our exis

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exactly computing the minimum-depth equivalent circuit is a hard computational problem — however, it is not difficult to get good upper bounds. Researchers at GDM have published a Github repository with code that computes such upper bounds for many architectures. They also have worked out an example computation for Gemma3-1B (Brown-Cohen et al., 2026) by hand. They use a slightly different notion of circuit depth. But, as long as the model in question uses at most 32 bits of floating point preci

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g LLM weights to NVFP4 while keeping the vision encoder in BF16 increases colocated EPD goodput from 1.78x to 2.64x over aggregated serving. Next Steps Follow the ai-dynamo/dynamo GitHub guide to reproduce the EPD disaggregation experiments. Enable parallel media decoding to move download and decode out of the worker and into the Dynamo front end. Use embedding cache to store and reuse computed embeddings for repeated media content. Apply multimodal KV routing to route requests sharing media to

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y issue perfectly. Learn more • Entire – Git hosting, rebuilt for the agentic era. Entire hosts your code in-region, and is up to 89x faster than any other competitor. Mirror from GitHub with a single click – I’ve already done so. Tibo Sottiaux is one of the engineers who created Codex, and today, he heads up the Core Products & Platform org at OpenAI which also includes Codex. He’s also one of the most public faces of Codex due to his frequent – and generous – usage reset announcements, like th

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hos 5 still took offensive actions, despite acknowledging a greater possibility of real-world harm. We are releasing this transcript publicly so others can build on our analysis ( GitHub , PDF ). To be clear about our assessment of the severity of these incidents: while Claude’s actions were misaligned, they remained within a narrow scope—the models never deviated from attempting to solve the exercises they were given, and, in some cases, they attempted to stop the task. All incidents included a

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easingly enable an unprecedented level of trust in mathematical results and critical software. However, more work is needed (e.g., lean4lean and alternative kernel implementations ) to ensure that proofs aren’t deemed correct through exploitation of issues in theorem provers. X LinkedIn GitHub Mastodon Hacker News Related Posts How CISA can improve OSS security November 20, 2023 The US government recently issued a request for information (RFI) about open-source software (OSS) security. In this …

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Facebook; Twitter; LinkedIn; Mail Today, we're thrilled to announce the 1.0 general availability release of the Agent Development Kit (ADK) for Kotlin! Check out the GitHub repository to dive into the code and build your first agent today, and explore the documentation. When we introduced ADK for Kotlin 0.1.0, our mission was to bring idiomatic, lightweight, and composable AI agent development to Kotlin, Java, and Android developers. Over the past months, we've worked to evolve the framework int

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ery little publicly available information. In one particularly tricky case, it exploited a security flaw that enabled it to extract the email address associated with that person’s GitHub account. As Roose interviewed people and disappeared down research rabbit holes, he threw transcripts, peer-reviewed papers, articles, sections of books, and more into a set of queryable notebooks that served as his “outboard brain.” Later, he used those notebooks and his working draft to prepare for interviews.

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enWebText. This is not surprising since the Pile’s main improvement was data corpus diversity over filtering. It has a curated 22-source mixture including PubMed and arXiv papers, GitHub code, legal opinions, patents, and parliamentary proceedings. The amount of cross-domain transfer to OLMES (which is English web-prose MCQ) might be minimal for many of these tokens, thus resulting in lower compute efficiency. We note that by virtue of its larger size, we expect that the Pile should eventually b

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pic’s two largest customers represented $1.2 billion of annualized run rate (30% of its $4 billion run rate at the time), with investors believing they were Cursor and Microsoft’s GitHub Copilot, the latter of which moved to token-based billing in June 2026. The problem is both that Anthropic and OpenAI’s largest customers cannot afford to pay them and that they desperately need them to keep paying them more every quarter, which means that every single AI startup will need to raise more and more

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your chosen design and open it in its browser, then add an event, reload, and switch users to test whether it saves and shares correctly Pro tip: Ask Astra to find five skills on GitHub that could improve your app’s design, then choose which ones to install and use. The Rundown: Somewhere in your team, a spreadsheet is doing the job of software. A request is stuck three replies deep in an inbox. None of it is technically broken, but it works because you remember how it works. That's not a proce

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y collude during training runs to remember resources on the internet which might come in handy in the future? I should clarify that I have done experiments like this before. Typically they do not run this long and the agent leaves behind a maybe imperfect but still digestible piece of software.↩ Content licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. Contact me via mail, bluesky, x, or github. You can sponsor me on github. Color scheme: auto, light, dark.

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Was it because we shared ideas on Twitter and other communities that inspired us? Or is it all unrelated? There is something powerful and strange about how LLMs diffuse knowledge and capabilities, while perhaps also nudging us all simultaniously and independently toward building the same things. Content licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. Contact me via mail, bluesky, x, or github. You can sponsor me on github. Color scheme: auto, light, dark.

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ions. Next Steps Review the Memory-Driven Chief of Staff recipe to adapt the memory design for your own NemoClaw example. Read the design proposal in the NVIDIA/nemoclaw-community GitHub repo for deeper architectural details. Learn more about NVIDIA NemoClaw and NVIDIA OpenShell to explore the underlying frameworks. Powered by NVIDIA Nemotron. AI-generated content may summarize information incompletely. Verify important information. Learn more Enterprise work spans messages, decisions, projects,

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ns from hundreds of mathematicians, many working with the Lean FRO . We thank Kevin Buzzard for reviewing the proof and for his comments. Learn more The full proof is available on GitHub along with a written walk-through of the proof. Recommended expository reading The Proof in the Code is a recent book about the history of the Lean theorem prover and the formalization of mathematics. The 1996 “Fermat’s Last Theorem” BBC documentary has interviews with Wiles and other mathematicians involved in

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duced those numbers. toki is also clear about scope, noting that MCP drove the finishing pass, not the original shot generation. Watch → youtube.com/watch?v=Rv5HOgCac-w Workflow → github.com/tokimwc/every-sound-leaves-a-mark Follow → @toki mwc Prize: RTX 5060 Ti SonderSaid didn’t just build a workflow, they built the tooling around it. The entry runs on custom nodes of their own design, wired into a reference-driven H3 pipeline that scored a clean 15/15 on novelty, workflow quality, and communit

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