Running Kimi K3 on MI355X at Better Performance per Dollar Than B300
Running Kimi K3 at ~952 tok/s/node, AMD continues to prove its case as the winner in performance per dollar.
The latest blog posts to take off on Hacker News. 1,520 posts.
Running Kimi K3 at ~952 tok/s/node, AMD continues to prove its case as the winner in performance per dollar.
Large language models encourage smart financial behavior, but they fall short on the more subtle aspects of saving and investing, according to MIT Sloan’s Taha Choukhmane and co-authors.
What in the world is Explorative Modeling?
AI has dramatically accelerated the path to a first working version. It has not shortened the distance between a first working version and something production-grade.
Tuesday was Stateless MCP day—the rollout of MCP 2.0, or the 2026-07-28 Model Context Protocol specification to use the more formal but less memorable name. This is the most significant …
We don't believe in model routing anymore. For most use cases, sticking to a single battle-tested model is the best thing you can do.
LocalAI is the open source AI engine. Run any model, LLMs, vision, voice, image and video, on any hardware. No GPU required.
A language model on a 1975 MOS 6502 processor, using a tiny Mamba-based language model and custom 8-bit ternary inference engine, used to generate text on a BBC Micro from the 1980s.
Chrome uses Gemini AI to automate vulnerability discovery, triage, and patching, accelerating updates to match modern security risks.
Every zeitgeist comes with new design idioms unique to its challenges. Many of them disappear as fads change, but others bake themselves into deeper parts of…
We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.
We reviewed 22 ML conference submissions this summer. Fifteen had fabricated citations, hallucinated authors, or clear LLM slop, so we complain about that a bit, and release the paper references audit we now run.
If an agent had a wallet, a computer, and 24 hours, could it run a profitable startup?
Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.
From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks.
The field of generative AI is evolving quickly. It brings compelling opportunities to improve developer productivity, but it also brings risks: to reviewer burden, to safety and security, and to intellectual property.
Yesterday Anthropic published two new cryptanalysis results, both outputs of Claude Mythos, their (still) unreleased advanced model. The first of these results attacks a signature scheme called HAW…
We tested the latest frontier models in the Dyad agent on five modeling and simulation problems, comparing accuracy, cost, time, and work style.
We gave 64 real coding tasks to self-hosted GPUs, rented hardware and commercial APIs. Owning a box lands in the same cost ballpark as renting one.
Everything I read about the AI industry leads me to think there will be an AI crash. Consider the following: Unsustainable Capital Expenses. It’s hard to imagine there can ever be enough revenue to…
I would like to thank Microsoft product teams and Microsoft Security Response Center (MSRC) for collaborating with me on this technical analysis and mitigation of the disclosed vulnerabilities. The editorial opinions reflected below are solely the author’s and do not necessarily reflect those of the organizations I…
Anthropic researchers find weaknesses in cryptographic algorithms with Claude Mythos Preview
Guide to the DeltaNet Family of linear attention mechanisms.
Short architecture note on Kimi K3, including LatentMoE, Kimi Delta Attention, Attention Residuals, NoPE, multimodality, and inference-efficiency choices.
Twenty-five years ago, I made my first donation to an open source project and purchased a CD with an operating system as downloading a few hundred megabytes over a 14.4kbps dial-up wasn't very fun.
Why the companies winning in the AI age own their intelligence: a task-trained open source model vs the frontier, with every number published.
Anthropic CEO Dario Amodei on open-weights models