Found and graded S to C by a screening method I built and keep improving. Each source has an English digest and a link to the original.
87 sources filed · EN 66 · RU 13 · ZH 8
Architecture: tools are thin adapters; a shared core handles one HTTP pool per process, API key injection, logging, tracing and error mapping.
5 of 44coffee shops returned for 'nearest coffee shop' with no point given, all in Vorkuta (latitude about 67.5)
Code test on DeepSeek-V4-Flash-Base: completing an FP8 function where the answer is 8, the model sometimes said 32.
40.2 pplargest retrieval-accuracy gap across positions for DeepSeek-V4-Flash-Base in a 128K-token test
The original hypothesis, about 18 months before the talk: cut average customer handling time by at least 30 seconds without lowering quality.
12,000active users, mostly contact-centre operators, out of 75,000+ with access
An AI pre-analysis of about 26 critical components, checked by component owners, produced a database of scenarios and test cases with priorities; the video description cites 28 components in five languages and more than 11,000 test cases, the talk more than 13,000.
70%pipeline runs that produced a successful merge request, out of about 1,500
Software flaws: when a university-hosted tool returned an error, Claude Mythos Preview found a file-serving script, copied the server's code, found an injection flaw and used it to run its calculation on the server.
allcases in the report that the new detection tooling blocked when tested against them
Interface: start "task name" opens a session and returns the current SDK description; run "Python script" executes code on the server in a sandbox with the user's permissions.
2commands in the whole agent interface: start a session, run a Python script
He estimates coding-agent penetration among developers at about 99%; every other vertical is far behind.
61%pass rate of the best frontier model on Alibaba's 107 real e-commerce tasks, with no human intervention
RoboDojo: 42 dual-arm tasks across five dimensions (generalisation, precise manipulation, long-horizon, memory, open-vocabulary instructions).
32.26%VPP2 average success rate on the RoboDojo simulation leaderboard, vs 22.48% for GPT-6-Astra
Prime Agent, launched in August, has been downloaded more than 300,000 times and processed over 8 trillion tokens.
2,209agents in the swarm, exchanging 16,758 agent-to-agent messages and using 228.70B tokens
From running an incubation lab for Tencent in New York: in business, technology is "not the most critical or useful thing, not even the second".
3 of 10failure rate he calls unacceptable for an industrial robot policy
Lynch started with coding agents in February 2025 and expected agents to catch up with the models within six months; he says they did not.
10subtasks OpenCode created for a 1.5k-line feature, then ran one by one
A two-week iteration cycle (spec, design, build, test, release, measure) now takes a team of one or two people half a day.
30+products Guo Yu built alone with coding agents in roughly three to four months, many unreleased
By August the weekly limit ran out in about 3 days; friends hold top subscriptions to Claude and GPT at once.
~8xcost of the same actions in an 800K-token session versus a 100K-token session
Task suite: 11 tasks in five categories; models tested on Codex, Claude Code, Grok Build, Antigravity, Kimi Code and Qwen Code at their highest reasoning settings.
11 tasksreal Epoch work tasks across five categories in the launch suite
46% of firms with at least one employee use AI tools; another 15% plan to within 12 months.
33 vs 15 ppnet share expecting higher employment next 12 months, AI users versus non-users
IO Breakout Scale runs from 1 to 6; Russia-origin "Dark Clark" rated Category 5, Iran-origin "Bogus Bylines" Category 4 overall.
Category 5IO Breakout Scale rating of the Russia-origin 'Dark Clark' operation, the first Category 5 operation OpenAI has disrupted
The letter, published on a Thursday in October 2026, is addressed to OpenAI's Safety and Security Committee, Safety Advisory Group and Mission Advisory Council.
Skills chosen by GitHub stars on 28 September 2026, from superpowers (292,189) to compound-engineering (25,299); domain skills, memory systems and orchestrators excluded.
2 of 9popular Claude Code skills that beat a length-matched placebo, both on cost only (12% and 5% cheaper)
Reading the VOC pages alone at two minutes a page, full-time, would take about 70 years; embedding them took one overnight run.
about $3cost for a small filter model to read 59,000 elephant mentions
Six simulated traits: knowledge, understanding, reflexivity, memory, verbosity, disclosure; derived from 20 characteristics found in a literature review.
0.86average Pearson correlation between simulated and human-study results across 12 measures
Founding infrastructure partners: Accenture, Booz Allen, CrowdStrike, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC and Rockwell Automation.
>90%expected true-positive rate of unreviewed OSS Scanner reports (vendor expectation)
Detector trained on the version it screens: median 99.9% caught; trained on past and current versions: 99.3%.
11.9%human-written abstracts falsely flagged when 23 version-specific detectors run side by side
Data: 228 hand-designed software tasks, 79 task families, 26 AIs, released through Claude Mythos in May 2026.
2-30 minband of human task time where AI difficulty is nearly flat, so horizon jumps there mean less than elsewhere
Several colleagues contacted him within a day of the announcement, asking whether he would pay out the whisky; he will not.
at least threeunpublished, unrefereed, non-arXiv lecture notes cited as references in the OpenAI preprint
Earlier stages of the experiment: git plus Obsidian (8 February 2026), Personal OS structure (27 February), comparison with Karpathy's LLM Wiki (5 April), an agent persona (23 May).
~1,500documents in the Personal OS knowledge base moved from a git repo to a server
Historical comparison: railroads about 2.2% of GDP (1870-1890 peak), highways about 1.1% (1950s), telecom/fiber about 1.1%, canals about 0.66%, electrification about 0.5%.
$10.3 trillionprojected US AI data center buildout, 2025-2032
Models: gemini-3.1-flash-lite, claude-haiku-4-5, gpt-5-nano, deepseek-flash, reasoning set to the lowest available level.
0.92collusion index in Gemini plus Claude markets, higher than either alone
OpenAI run: GPT-5.6 Sol and GPT 6 Astra, over $400,000 in API-priced tokens, over 1.3 million lines of Rust over several months of goal loops, about 84% compatibility at best.
$400,000+API-priced tokens spent on GPT-5.6 Sol and GPT 6 Astra, which never got past about 84% compatibility
Survey of 2,500 workers: 11.31% said they had ever used AI on a Prolific submission when asked directly; an anonymous list experiment estimated 14.24%.
1.00%share of 712,930 Prolific submissions with observed ChatGPT assistance
Each agent received 3,000 GPU-hours on up to 50 GPUs and a 10 billion-token inference budget, in a sandbox without internet access, with a codebase scrubbed of SDPO.
35%share of the human method's gains reached by the best uncontaminated model (GPT-5.6 Sol), scored generously; 15% when only in-scope changes count
Knowledge cutoff June 2026; text output only.
1620 vs 735GDPval-AA v2.1 Elo on professional tasks for Haiku 5.5 versus Haiku 4.5 (Sonnet 5.5: 1840)
Anthropic, OpenAI and Google report AI writing 75% or more of their new code; Anthropic reported that as of August 2026 Claude "leads" 26% of its R&D work.
183%median increase in code submitted by regular contributors to open-source AI repos, Q1 2024 to Q2 2026
A single human playthrough takes about 2-4 hours; a high score means completing up to 21 objectives within limited turns.
100%GPT-6 Astra score on the original EBR-bench, reached in over half its attempts via one card
154 residents assessed, 132 randomized 1:1:1, 123 analyzed (mean age 24.1, 65 women; 60 radiology, 63 non-radiology), all with under 3 years of experience.
40.1% / 40.4% vs 20.0%radiology residents' accuracy on cases where GPT-5.4 was wrong, with two AI suggestions vs one
Withdrawn: "Algebraicity of Weil classes on split abelian eightfolds" and two dependent papers, on Kuga-Satake correspondences for K3 surfaces and the rational Hodge conjecture for products of K3 surfaces.
3manuscripts withdrawn after a sign error in one proof
Prompt: a three.js (pnpm) visualization of the book's 55 cities; no questions allowed; 6 hours of work.
1 h 25 min, ~$74Claude Opus 5.5 run time and API cost, with 6 parallel subagents
Agents use two tools: search (query to documents) and fetch (URL to page text).
>80%share of GPT-5.6 Luna's search queries that use quotation marks in Artificial Analysis runs
Pricing per million tokens (prompts up to / over 100k): input $0.10 / $0.50, output $0.50 / $2.50, cache reads $0.01 / $0.05.
$0.10 / $0.50Haiku 5.5 input and output price per million tokens for prompts up to 100k, vs $1.00 / $5.00 for Haiku 4.5
Starting point: Lehman's second law of software evolution.
~7xreduction in cost per evolution cycle the agent achieved on its own, starting from about 30% cache hit rate
10 skills built in about two months with Anthropic's skill-creator: acceptance criteria, Bamboo deployment, WireMock stubs, task testing, OpenSearch logs, bug reports, Allure test cases, daily test report and others.
10Claude Code skills built over about two months, covering the full QA workflow
30 decision vignettes covering six biases (anchoring, framing, loss aversion, escalation of commitment, availability, confirmation), five items each, from the Malberg et al. benchmark.
+0.031 (p = .157)pooled bias-magnitude difference, reasoning minus non-reasoning models; reasoning models were not less biased
Topic, from the title and abstract: training a VLM-based agent with reinforcement learning to carry out tasks in a real web browser for a user.
61 full-time, college-educated US professionals in HR, people management, sales or marketing, randomly assigned to an AI or human recipient.
76.7% vs 96.8%share of professionals who authorized reuse of their materials by AI systems versus by human professionals (p = .026)
Four levels of eval validity: output-level (judge agrees with humans), cross-system (benchmark ranks models like humans), unit-level (Prentice surrogacy) and trial-level.
+2.0pp to -0.25ppa real eval improvement turned negative by a judge only three points less sensitive on treated outputs
Agents and models (July 2026 configurations): Codex with GPT-5.4, Claude Code with Claude Opus 5, Kimi Code with Kimi K3.
1.41-3.31xtoken usage of concurrent versus sequential execution across agents
About 4,000 PRs a day pass through NeuroReview, roughly 40% of PRs created in Arcadia; use is voluntary and internal only.
~4,000pull requests a day reviewed by NeuroReview, about 40% of all PRs in Yandex's Arcadia monorepo
Launched 28 May 2023 with just over 200 problems; comments added August 2025.
1221problems hosted on erdosproblems.com, with over 9000 comments and almost 2000 registered users
Five streams: consumer apps, model access (API and flat-rate plans), enterprise and government customisation, licensing fees, and indirect revenue from complementary products.
88% to 22%Z.ai's share of GLM 5.3 Flash tokens on OpenRouter within 20 days of releasing the weights
Three tiers: Defense Access (SOC, incident response, malware reverse-engineering; response to applications within a few days), Red Team Access (adds authorised penetration testing; organisations only; review takes a few weeks), Specialized Access (fewest blocks; safety-critical systems such as power grids and interbank infrastructure; reviewed with the US government).
129,000verified software vulnerabilities partners reported finding with Claude Mythos, April-July 2026
Two kinds of autoformalisation: (i) turning a proof into any Lean proof that compiles; (ii) faithfully translating every statement and argument.
m+4 vs m+5derivatives required in OpenAI's paper (eq. 8.19) versus in the cited Lean theorem