Dg

A federal judge ruled in a May 2026 lawsuit that Anthropic illegally scraped and pirated the work of over 10 Stanford professors to train its Claude models. In Bartz v. Anthropic, Judge William Alsup ruled on the case, which the Authors Alliance calls the largest copyright settlement involving an AI company.

Legal • Hacker News

Rock Matrix open-sourced EdgeRock-4B, built from Qwen3.5-4B with HKUST and CMU. The model keeps a fixed 72 MiB KV cache at 256K context, down from 8 GiB, and serves 6.42 times the throughput while retaining most of its reasoning scores, according to the company.

AI Models • Pandaily

ANTH

Anthropic's S-1 filing shows an 85% gross margin in H1 from running its models, a reality check for skeptics who said pay-as-you-go model sales wouldn't be profitable. The company also used its IPO letter to renew a pledge that Claude will never show ads.

Anthropic launched tools that show companies how their spending on its models is being used, lifting the curtain on usage ahead of a planned IPO. The move gives enterprise customers visibility into what their AI budgets are buying.

Business • TechCrunch AI

Based on a transcript excerpt: Matthew Berman demonstrates DeepSeek's latest open-source model, testing its ability to generate a detailed interactive 3D mechanical watch diagram in a single web page. The video showcases the model's spatial awareness, 3D generation, and internal knowledge, positioning it as a leading open-source option.

AI Models & Capabilities • Matthew Berman

Productivity

Terk Terkowitz of Amazon engineering leadership argues that if current AI tooling doesn't benefit your work, that's a finding rather than a failing, and engineers should document why and share it.

Google's Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5 with a score of 59, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It ranks second only to Claude Opus 5.5 on the Coding Agent Index, with large coding and knowledge-work gains over prior Gemini models.

Model Release • Hacker News

An Anthropic study gave 50 experts an AI agent whose preferences were set by coin toss; the experts followed the agent's view up to 86 percent of the time on judgment calls, and most believed the conclusions were their own. The findings suggest people may adopt arbitrary AI opinions as their own reasoning.

Research • The Decoder

Productivity

Ted Sanders says LLM performance is multidimensional, but much variation is explained by model size: bigger models are generally more performant/reliable, cost more per token, and have better recall of esoteric facts.