New AI models reviewed and compared, how they work, and what the labs behind them are betting on.
Most read by people in Engineering, Executives and Legal & Compliance.
Hands-on GPT-6.1 Terra results: build times for a browser OS, skate game, subway FPS and wrestling game, plus a robot arm run, pricing and quirks.
A CFET stacks N-type and P-type transistors to save space. Learn how gate-all-around and backside power work, and why heat limits 3D chip scaling.
An Intel executive asks whether chip fabs still need today's clean rooms as fab costs double every four to five years and a high-end EUV scanner nears $400M.
Harness² lets an agent rewrite its skills, tools, sub-agents and control loop. How propose, probe, compose works and why a smaller model beat a stronger one.
Intel is working with Elon Musk on Terafab. Here is why tools, not buildings, cap chip supply, and why Intel says it will invest more in equipment.
Fixed costs near 80%, yield leverage, and a capex gap of roughly $20B vs $50B explain why three foundries remain and what Intel must do to catch TSMC.
Forward-deployed engineering explained: how OpenAI's deployment company, Anthropic's joint venture and the Thrive stake help firms turn AI into ROI.
DecisionNode returns typed answers with calibrated confidence instead of chat text. See tests on image boosters, API routing, the CLI, injection and RAG.
Kuaishou's Kling AI video unit plans a Hong Kong IPO next year at about $18B. Kuaishou holds 68%, with Alibaba, Tencent and Baidu as minority backers.
Flint runs about 10x faster than a dense 27B model. See how 2.5B active parameters, hybrid attention, a 4-bit output layer and a fused kernel do it.
Recursive, led by Richard Socher with $650M raised, says its Eureka machine helped design Flint's architecture, quantization, and kernels. What is known so far.
Matrix Game 4.0 hands a video model a low-poly render. Nvidia StreamRender H3 hands it a color-coded map. Here is how the two approaches differ.
Open-weight models like GLM 5.3 reportedly match restricted cyber models from Glasswing and Patch the Planet. Here is what it means for the next six months.
DeepSeek open-sourced its DeepInfra inference engine. See how prefill/decode split, expert balancing and speculative decoding work, and what you can run.
Stepful raised a $55M Series C led by Oak HC/FT. See how its AI tutors, contracts with 39 health systems, and 5-month programs train healthcare workers.
Five practical prompts for Gemini 4 Argon: game cloning, API vs subscription research, a 3D-printable STL, scheduling logic and a physics sandbox.
Sam Altman on OpenAI's math proofs, a disease-treatment candidate within years, FDA limits, and why coders got busier instead of obsolete.
NVIDIA Dory1.0-4B scores 50.3 to 61.8 on SWE-bench Verified from 1 to 4 loops. See how it compares with Qwen3.5-4B, Qwen3.5-9B and Gemma 4.
Mercury 3 is a diffusion LLM that hits 1,068 tokens/s. See how it differs from autoregressive models and how it compares with Haiku 5.5 and GPT-6 Luna.
Mercury Decide returns an answer and probability in about 0.16 seconds, now with images. How it works, its independent evals, and how to pair it with Mercury 3.
Dory1.0-4B is NVIDIA's looped 4B language model that reuses a shared layer block to scale compute per token. Architecture, loop counts, and benchmarks.
GPT-6 Astra generates finished UIs from one prompt and operates software by reading the screen. See how it works, benchmark scores, pricing, and limits.
Compare Ling-3.0-flash-VL with Gemini for internal vision tools: benchmark scores, per-seat vs inference cost, data residency, and governance risks.
92% of AI vendor contracts claim data rights beyond what the service needs. See why SaaS terms of service are changing for AI and how to audit yours.