Sarvam AI released 30B and 105B models trained entirely in India—from pretraining through RL—featuring support for 22 constitutionally recognized Indian languages and inference optimizations.
Andrej Karpathy released Autoresearch, a system where an AI agent autonomously runs machine-learning experiments on a GPU and tries 100 variants overnight. The article breaks down the mechanism and design so even readers with zero ML background can follow.
Anthropic found 22 CVEs in Firefox's JS engine with Claude, while GitHub Security Lab reported more than 80 vulnerabilities in apps built on the OSS framework Taskflow Agent.
WAN 2.2 image-to-video on Windows + RTX 4060 8GB VRAM in ComfyUI. The 5B fp8 model failed three times; the 14B Rapid distilled model with --lowvram offloading produced a 2-second clip in 111 seconds — vs 82 minutes on M1 Max 64GB. Working setup and what to avoid.
JPEG-XL revival in Chrome 145 and how to use cjxl, RSA → Elliptic Curve → PQC cryptography transition and Merkle Tree Certificates, WebMCP implementation examples, Chrome zero-day trends, and customizable select elements.
Local video generation test on M1 Max 64GB MacBook Pro. FP8 models don't work on Metal — switching to GGUF got Wan 2.2 running at 82 minutes for a 2-second clip. LTX-2 produced NaN or unusable KSampler output under MPS. Specs, failed configs, and the working setup.
Hands-on test of huihui-ai Qwen 3.5 abliterated models in Ollama: garbage-token failures, GLM-4.7-Flash chat-template breakage, and why the official model with thinking disabled worked better.
Right after Seedance 2.0 launched, a torrent of Hollywood IP infringement flooded social networks. Disney, Netflix, and Paramount sent cease-and-desist letters; the API release was postponed indefinitely, and face-cloning and person reference features were disabled.
Standard Intelligence trained a general-purpose computer action foundation model on 11 million hours of screen recordings. Instead of an LLM, FDM-1 operates directly on video and action tokens, achieving 50-100x compression efficiency over existing VLMs with a custom encoder.
One engineer plus AI reimplemented Next.js on Vite for about $1,100 in token cost. The result, vinext, shipped with 4.4x faster builds and a 57% smaller bundle, and is already running in production during its first week.
Anthropic accused three Chinese AI companies of distilling Claude, and on the same day OpenAI retired SWE-bench Verified. Training fraud and evaluation flaws exposed simultaneously on February 23, 2026.
