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LG AI Research's first open-weight vision-language model packs 33B parameters, 262K context, and STEM scores above GPT-5-mini - but ships under a non-commercial license.
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LG AI Research's first open-weight vision-language model packs 33B parameters, 262K context, and STEM scores above GPT-5-mini - but ships under a non-commercial license.

Moonshot AI's Kimi K2.6 is a 1T-parameter MoE with 32B active per token, 256K context, a 300-agent swarm running 4,000 coordinated steps, and the top SWE-Bench Pro score among open-weight models at 58.6%.

LeWorldModel from Yann LeCun's group strips JEPA world models down to two loss terms, trains 15M parameters on a single GPU in hours, and plans roughly 47x faster than DINO-WM.

We audited ten AI agent products sold under the Claw name. The ledger shows 11 live CVEs, 130 published advisories, 1,184 malicious marketplace skills, and one leaked SSL private key - concentrated almost entirely in a single vendor.

Alibaba released Qwen3.6-Max-Preview on April 20 as its first closed-weights flagship, ranking third globally on the Artificial Analysis Intelligence Index while topping six coding benchmarks.

Moonshot AI releases Kimi K2.6 under Modified MIT with open weights on HuggingFace, 300-agent swarm execution, and the highest SWE-Bench Pro score among open models.

NVIDIA's Spatial Intelligence Lab released Lyra 2.0, a 14B model that turns a single photograph into a navigable 3D environment - but the weights carry a research-only license.

A Korean CTO ran a 13-step agent harness against 100+ major open-source repos over three days, landing 500+ commits and 130+ PRs - some merged by Kubernetes, Hugging Face, and Ollama maintainers. Then GitHub banned his account for spam, confirming that platform abuse detection cannot yet tell a disciplined harness from a bot.

We ran our fake-star methodology against OpenClaw and 10 ecosystem variants, sampling 361,000-star profiles and fork ratios. The main repo looks clean. Most clones look clean. One repo with 6,532 claimed stars has vanished.

We pulled 11,447 MCP servers from four registries, ran the GitHub and OSV APIs against them, and tried to install the top 100. Nearly a third haven't been touched in six months.

Complete buying guide for AI home workstations in 2026 - pre-built machines and DIY builds for running local LLMs from 3B to 70B+ models, with benchmarks, part lists, and price-tier comparisons.

A data-driven comparison of 14 managed and open-source fine-tuning platforms, with verified pricing, supported methods, and a decision matrix to pick the right tool for your workload.