AI coding

NVIDIA’s research team open-sourced Polar, an agent reinforcement learning framework that connects GRPO training at the model API boundary without rewriting Codex CLI, Claude Code, Qwen Code, or Pi; on Qwen3.5-4B, Polar raised Codex pass@1 on SWE-Bench Verified from 3.8% to 26.4%, while prefix_merging cut training steps from 1,185 to 218.

DeepSWE says SWE-Bench Pro lost discrimination because of data contamination and verifier flaws; the same model set showed a 62-point spread on the benchmark, while the snippet does not disclose the audited models or test protocol.

xAI released Grok Build 0.1 in public beta through the xAI API for agentic coding tasks, with throughput above 100 tokens per second and pricing at $1 per million input tokens and $2 per million output tokens.

Lemonade CISO Jonathan Jaffe says a single endpoint can run 200 to 10,000 agents, so security teams need to assign identity to each agent and enforce policies at the point of action, beyond current identity and access management systems.

Cognition AI raised over $1 billion at a $26 billion pre-money valuation, while annualized revenue grew from $37 million to about $492 million in one year, and Devin is positioned as an autonomous junior engineer that can plan, test, and deploy through multi-step workflows.

Anthropic describes a six-step Claude Opus workflow for source-code security: threat modeling, sandboxing, vulnerability discovery, validation, triage, and remediation; in its open-source scanning work, it disclosed 1,596 vulnerabilities by May 22, 2026, with 97 already fixed.

Cognition announced over $1 billion in funding at a $26 billion valuation, with enterprise usage up more than 10x this year and annualized revenue reaching $492 million.

Anthropic and OpenAI changed enterprise pricing around April 2026, moving coding agents from heavily discounted seat plans to API-usage billing, with Anthropic Enterprise at $20 per seat per month plus API fees and OpenAI Codex billed by API token usage.

Cognition raised $1 billion at a $25 billion pre-money valuation, with annualized revenue run rate reaching $492 million, and the company says its valuation more than doubled in eight months.

ModelBest, Tsinghua University, and OpenBMB open-sourced ForgeTrain, described as the first production-grade LLM training framework written entirely by AI with zero human code, and ModelBest used it to pretrain MiniCPM5-1B on Huawei Ascend chips.

Latent Space says Fireworks is in talks for a $15 billion valuation round, Baseten is raising at an $11 billion valuation, and OpenRouter closed a $113 million Series C after volume grew 5x in six months.

Anthropic announced two Claude Managed Agents capabilities at Code w/ Claude London: self-hosted sandboxes in public beta and MCP tunnels in research preview, with Spotify, Base44, and Legora already using them.

Uber president Andrew Macdonald said the company exhausted its 2026 AI budget in four months, while rising Claude Code token consumption has not been tied to a measurable increase in useful consumer features delivered.

SkillOpt uses a frontier model to propose add, delete, and replace edits to markdown skill files, then accepts only strict gains on a held-out validation set; the best skills usually converge after 1 to 4 accepted edits.

Qwen3.7-Max scored 1541 on Code Arena and ranked behind Claude; the post says it can run 35-hour tasks and perform more than 1,000 tool calls.

ModelBest released ForgeTrain and MiniCPM5-1B, saying ForgeTrain was written by AI and trains 10% faster than NVIDIA Megatron under the same hardware conditions. MiniCPM5-1B is a 1B-parameter edge model with about 2GB FP16 weights and about 0.5GB INT4/Q4 weights.

Elon Musk said the 1.5T-parameter Grok V9-Medium has finished training, will enter reinforcement learning in a few days, and is planned for release in two to three weeks. Grok Build supports up to 8 parallel sub-agents, a 256K-token context window, Plan Mode, Arena Mode, MCP, and ACP.

ModelBest open-sourced MiniCPM5-1B and ForgeTrain; the 1B edge model scores 17.9 on AA-Index, while the AI-written ForgeTrain framework matches Megatron’s training results and runs 10% faster on Nvidia H100 under the article’s reported setup.

Kunlun Tech released SkyClaw-v1.0 and SkyClaw-v1.0-lite with a 2-4 week free trial, claiming SkyClaw-v1.0 input costs are 1/24 of DeepSeek V4 Pro and about 1/43 of Sonnet 4.6.

Developers found an unannounced OpenAI GPT-5.6 entry in Codex backend logs under the codename iris-alpha, with a 1.5 million-token context window, about 43% higher than GPT-5.5’s 1.05 million-token limit.