Together AI, the University of Sydney, and UIUC introduced OSCAR, a 2-bit KV Cache quantization method that uses about 2.28 effective bits per KV element and scores 71.86 on Qwen3-4B-Thinking, 40.1 points above TurboQuant.

Hugging Face redesigned hf CLI output for coding agents including Claude Code and Codex, using environment-variable detection and compact untruncated TSV output; in complex multi-step tasks, agents without the CLI used up to 6 times more tokens.

Axiom solved all 12 Putnam problems in 2025 and scored 8/12 within the time limit; Carina Hong says its Verina ProofGen result reached 187/189, while the last disclosed OpenAI o3 result on that benchmark was 4.9%.

The author released Vulpine, a compiler that converts Python into a compact model-facing representation for coding LLMs. Tests on about 13,000 held-out files showed roughly 14% token reduction and 99.8% AST-equivalent round-trip success, with code published on GitHub.

Google DeepMind released Gemma 4 open-weight models in five sizes, with the 12B variant supporting text, image, and audio input, instruction-tuned and pre-trained variants, native system prompts, function calling, and a context window of up to 256K tokens.

Xu Xiaobin argues that agent-based development compresses the intent-to-code loop from weeks or months to minutes, using a weekly-report system, a multi-role agent development setup, and image-repository provisioning as examples; the article identifies mismatches in Git, CI, code review, release flows, permissions, harness setup, and dry-run validation.

Microsoft announced seven MAI models at Build, with MAI-Thinking-1 described as a 35B-active-parameter MoE with a 256K context window, and released a 109-page technical report covering training, data lineage, and performance claims.

Coze 3.0 adds project-based agent collaboration across iOS, Android, Mac, Windows, and web, supports importing local agents such as Claude Code, Codex CLI, and OpenClaw, and can read a desktop PDF from a phone after user authorization.

A WSJ-based profile says Dario Amodei once barred Greg Brockman from an internal OpenAI project that later led to ChatGPT, and the article says Brockman now oversees OpenAI product strategy with nearly 1,500 people under that function.

@mvanhorn shared an agent engineering workflow centered on a Research→Plan→Work loop, plan.md constraints, and 22 practical tips; the snippet says it covers planning, parallel execution, input methods, and remote control, but the post does not disclose the full tool stack list.

MAI filtered 265,000 trainable tasks from 4.87 million open-source PRs and built a three-layer judging system. The key change after vibe coding is the industrialization of training infrastructure.

Microsoft added average token usage to its model release card; the model scored 71.6 on SWE-Bench Verified while using about one-third of Claude Haiku 4.5’s tokens.

OpenAI opened Codex Sites in preview to Business and Enterprise subscribers, letting users turn ideas into hosted interactive sites such as dashboards, planners, and project boards, with URL sharing for specified team members.

Claude Code added dynamic workflows that execute JavaScript files at runtime to create and coordinate multiple subagents; each subagent has its own context window, and the feature is described for research, security analysis, and code review tasks.

Microsoft released MAI-Thinking-1, an MoE model with 35B active parameters and 1T total parameters, pretrained from scratch on 30T tokens without third-party model distillation.

Claude Code added dynamic workflows that execute JavaScript files to coordinate subagents, with configurable model choice and workspace isolation level, but the post does not disclose token overhead figures or release availability details.

The title says Microsoft's MAI-Code-1-Flash scores 51% on SWE-Bench Pro with 5B active parameters; the post does not disclose the evaluation setup, training data, release date, or deployment conditions.

Claude Platform added a CLI that runs every API endpoint from the terminal, calls the Messages API, launches Claude-hosted agents, and pipes results directly into the shell.

Microsoft released MAI-Thinking-1 at Build 2026, describing it as a medium-sized reasoning model that matches leading models on key software engineering benchmarks.

Uber Technologies set usage caps on staff AI tools including Claude Code after the company exceeded its AI budget earlier this year; the post does not disclose the cap size, affected teams, or budget amount.

GitHub COO Kyle Daigle said AI-driven code commits grew 14x in 2026, and the interview covers Copilot, Actions, MCP, WorkIQ, cloud agents, and the infrastructure availability pressure created when code review, CI/CD, and open-source contribution volume scale beyond human-speed workflows.

The Claude Code engineering team described process changes after making agentic coding the default at Code w/ Claude SF 2026: JIT planning, asking Claude first for context collection, Claude handling style and tests in code review, and humans focusing on legal and safety judgments.

OpenAI Codex released a Python SDK with the install command pip install openai-codex, and the snippet says it can reuse the Codex login state; the post does not disclose API pricing, model versions, or rate-limit conditions.

OpenAI launched Codex Sites, which turns work, ideas, and plans into an interactive website or app that a team can access through one URL; the feature rolls out first to Business and Enterprise plans, and the post does not disclose pricing or broader availability timing.

OpenAI released six Codex app plug-ins for data analytics, creative production, sales, product design, equity investing, and investment banking; each tool bundles integrations, instructions, and context, while the post does not disclose pricing or rollout limits.

Ben’s Bites says Claude Opus 4.8 is out, and Claude Code can write an orchestration script before launching subagents in parallel to work through complex tasks.

Anthropic expanded Project Glasswing to about 150 new organizations across more than 15 countries, covering electricity, water, healthcare, communications, and hardware infrastructure, after an initial group of about 50 partners.

The author ran Qwen3.6-27B on one RTX 3090 across 47 multi-step coding workflows. Plan generation reached about 95% schema validity, but tool-call formatting errors were about 12%, and practical long-context use degraded past about 12k tokens.

The author open-sourced a cross-platform AI cleaning skill for Mac and Windows, generating interactive HTML reports from file scans; in a test, it freed nearly 120GB, compared with CleanMyMac identifying 15.8GB.

An Anthropic developer shared a Claude Code understanding-verification workflow with 8 steps, using incremental teaching, user restatement, checklists, and quizzes to confirm the human can defend the problem, solution, and impact before moving to the next stage.

OpenAI made its frontier models and Codex available on AWS; the RSS body only provides the article link, 56 Hacker News points, and 17 comments, and the post does not disclose regions, pricing, or the model list.

Perplexity released Search as Code, an architecture where agents write Python code to call its search stack directly instead of looping through function calls; it is now available in the Perplexity Agent API and is the default option for Computer.

MiniMax released the open-source M3 model with coding, a 1M-token context window, and native multimodal support; M3 scores 59.0% on SWE-Bench Pro, 83.5% on BrowseComp, and costs about one-twelfth per token versus GPT-5.5.

Nathan Lambert argues that closed frontier labs will capture high-margin demand in coding-agent workflows, citing a personal willingness to pay $2,000 per month and projecting OpenAI and Anthropic valuations of $2-10 trillion over 5-10 years.

OpenBMB, Tsinghua NLP, and Modelbest released two UltraData open datasets: Ultra-FineWeb-L3 contains 600B+ tokens, including 400B+ English and 200B+ Chinese tokens, while UltraData-SFT-2605 contains 15M+ SFT samples with thinking and non-thinking labels.

MiniMax released M3 as an open-source unified model with coding, agent, and native multimodal capabilities, supporting a 1M-token context window and using MiniMax Sparse Attention to cut per-token compute at 1M context to 1/20 of its predecessor, with over 9x faster prefill and over 15x faster decoding.

OpenAI's June threat report details a banned cluster of ChatGPT accounts likely originating in China. The operators used Simplified Chinese prompts to generate English posts and images on X, posing as ordinary Americans and claiming data centers and AI are driving up electricity costs for households. They also used ChatGPT for image editing, automation scripts, and harassing overseas dissidents. An internal work report they uploaded outlined tactics for building credible personas on Facebook and evading platform detection.

Reddit user thibautrey describes a 3-step setup: edit Codex Desktop config.toml, store an API key, and use a multicodex proxy alias to map gpt-5.3-codex to MiniMax-Latest. The post lists a local base_url of 127.0.0.1:1455 and says the proxy disguises returned model names as gpt-5.3-codex.

Simon Willison demonstrated running Python ASGI apps in the browser with Pyodide and Service Workers, with Claude Opus 4.8 assisting development, and showed two working demos: a basic ASGI FastCGI demo and Datasette 1.0a31.

GitHub Copilot changed billing to token-based metering, and the RSS snippet says developers are unhappy; the post does not disclose pricing, per-token rates, or the rollout date.