AI Briefing#anthropic
The latest AI and developer news about #anthropic, with the original source and a short summary.
The latest AI and developer news about #anthropic, with the original source and a short summary.
A developer reports that Claude Code plugin submissions containing mods, hooks, or local MCP servers are being rejected from the official marketplace unless from a verified organization, though no official announcement has been made.
A federal judge ruled that plaintiffs' claims that Claude Max multipliers apply to 5-hour sessions rather than weekly usage are plausibly misleading.
The feature uses Plaid to access balances and transactions on Pro, Max, and Ultra plans, allowing users to query spending without giving Claude control over funds.
The round is expected to close in coming weeks and could total about $20 billion, falling short of a previous $30 billion target.
Analysis of a METR report suggests Anthropic has crossed its 'dramatic acceleration' threshold, with AI automation driving a 2x increase in capability progress speed.
New features include Cost Analytics API, per-developer AWS attribution, pooled group budgets, and message threads to reduce token usage.
In EVE Online trading simulations, Fable 5 achieved a 43% average capital increase over two-week windows, outperforming older models, while in EVE Frontier, hidden saboteur agents remained largely undetected by their teammates.
The proof, verified by Lean, establishes that quantum computers cannot achieve exponential speedups on random inputs without specific structural patterns.
The study defines agent memory as persistent, experience-based knowledge and introduces 'dreaming' to correct errors, with benchmarks showing significant performance gains for newer Claude models.
Jakob Macke, Daniel Gedon, and Stefan Wahl argue that AI tools for science should return the full distribution of compatible models rather than a single optimal fit to reveal what data actually constrains.
The built-in mod, enabled by default in Claude Code v2.1.317 and later, deterministically blocks the model from including user email addresses in web requests.
The report details the production of machine-checked proofs for 239 entry points across 123 libraries, identifying bugs that survived extensive fuzzing.
Self-reported AI uplift at Anthropic rose from 1.2x to 12x, with no evidence of algorithmic or compute bottlenecks in the next 12 months.
The beta feature connects to bank accounts via Plaid to answer money questions in plain language without moving funds.
New features allow security teams to review configurations against Anthropic's recommendations and run EDR sensors inside the Cowork virtual machine.
Analysis of 207,049 sessions reveals that scientists use Claude most for tasks where AI performs well, such as data analysis and writing, while underutilizing it for physical data collection and ideation.
The preliminary study used hundreds of GPUs for microscopy and produced a first structural model 34 hours after purification, though the biological function of the particles remains unknown.
The filing details $80.7B net losses driven by fair-value changes and warns of potential existential risks from AI.
A conflict between AGENTS.md and CLAUDE.md causes the former to be skipped by default, requiring a specific import syntax or configuration change to load both.
The new API parameter reduces median time to first token by 35% for 500k to 1M token requests by sending only new messages per turn.
The team used Claude to optimize isolation and processing, reducing a three-day purification to 90 minutes and solving the structure in 34 hours.
The marketplace now hosts over 25 partner tools, with eligible enterprise customers able to apply committed Anthropic spend toward these new solutions.
Valued at retail prices, the cost of AI tokens consumed by Anthropic employees surpasses their base salaries, excluding stock awards.
Anthropic's S-1 filing reveals $1.7B in Q3 2026 personnel costs, with stock-based compensation representing the largest share of the expense.