rookie numbers they need 5M now and 15M+ by 2028 they won't have it mainly due to memory
rookie numbersthey need 5M now and 15M+ by 2028they won't have it mainly due to memoryP Equity Research 📰: J.P. Morgan has domestic AI chip shipments…
rookie numbersthey need 5M now and 15M+ by 2028they won't have it mainly due to memoryP Equity Research 📰: J.P. Morgan has domestic AI chip shipments…
The final approval settles one case, but it doesn't resolve the broader issue of using copyrighted works to train AI models.
RT Whole Mars CatalogA Cybercab with no steering wheel, a massive display, and high speed Starlink is going to be the best place to work or…
https://preview.redd.it/wluwwp6s4heh1.png?width=1248&format=png&auto=webp&s=6e95d963645c5a0ef750bf81324a6d4dcbc0389e Spent the last few days measuring speculative decoding on Qwen3.6-27B (dense, NVFP4) on one RTX PRO 6000 Max-Q, comparing vLLM and SGLang across MTP, DFlash,…
RT Vaish ShrivastavaGreat blog from @cwolferesearch on Agentic World Models highlighting our work on ECHOCameron R. Wolfe, Ph.D.: I just published my blog on using world…
RT 500 GlobalSakana AI is doubling down on a thesis we believe will play an increasingly important role in AI development: the future of AI won't…
RT 500 GlobalSakana AI is doubling down on a thesis we believe will play an increasingly important role in AI development: the future of AI won't…
Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling bottlenecks when training multi-turn, tool-using LLM reasoning agents. It maximizes hardware throughput by combining…
Anthropic is donating another $20 million to Public First Action
David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC, bringing global leadership in finance, technology, and governance.
How Anthropic Secures Its AI-Native Software Development Lifecycle
How Datadog built a “universal machine tool” for Claude Code
Recent diffusion models enable high-quality video generation, but suffer from slow runtimes. The large transformer-based backbones used in these models are bottlenecked by spatiotemporal attention. In…
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable…
When a Weaviate query is slow, the first question is where the time went. Query profiling returns a per-stage, per-shard timing breakdown, making query performance issues…
Four technologies used by Kimi K3 to make it SOTA: KimiDeltaAttention (used in Kimi Linear, essentially a more general gated delta net) AttnRes - described in…
hexagon: add CLAMP op (#25934) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu…
I can't take credit for this, someone else described the approach, and I just copy/pasted it into opencode/GLM 5.2 to get it working. It appears to…
No. As of now, in the airMind you, American victory condition is basically monopolizing the capacity to exterminate the rest of the human species, and Chinese…
Trying to see what I can scrounge together bare minimum hardware requirements to get up to that rough speed. Right now I'm running an RX6600XT and…
Chinese labs topped AI leaderboards as Washington weighs restrictions on Chinese models and OpenAI discloses long-horizon safety risks.
Google hasn't shipped a model recently that is capable of competing with Sol or Fable. The previous models were pretty disappointing and unreliable, it seems the…
For a long time, Meta's meh performance in AI products (despite good research out of FAIR) was a kink in the story about Chinese AI talent…
China can only watch as its ally is being destroyed…Tom Bike: Another large aircraft shelter destroyed in Jordan 🇯🇴🇺🇸 US al Salti AB by accurate Iran…