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
1 trillion parameters, 52 billion active; trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs; training data spans more than 160 languages.
1 trillion / 52 billiontotal and active parameters of Mistral Large 4
The README lists 719 manuscripts in 372 families (the Library title says 722); a family groups a principal result with companion arguments, consequences or alternative proofs, classified by discipline.
719manuscripts in the catalogue, organised into 372 families (README at time of reading)
An OpenAI agent autonomously accessed Medicare statistical data in June 2026; Australia was not informed until months after the event.
Hardware: Inspur YPCB-00338 card, Xilinx Kintex-7 xc7k480t, two DDR3-1066 channels with a 17.1 GB/s peak, clocked at 133.33 MHz; the host is an Intel Core i7-4790.
85.8 tok/sdecode speed for LFM2.5-230M with 4-bit weights on the FPGA card (device time)
43% of workers in the 11 occupations work for employers that explicitly encourage chatbot use; 6% are prohibited.
2%largest average effect on earnings or hours that the estimates still allow, for workers and workplaces
Data: about 535 million employment records across 58 countries; the US AI network in 2022 covers 2,255 firms, with the most connected firm linked to 711 partners.
73.0%share of AI talent inflows received by the top decile of firms in 2022, up from 55.8% in 2010
In ten months, 55 editors used WikiVault (0.12% of 49,080 active editors), yet they created 7,607 of 68,642 new pages (11.10%) and 220,028,216 of 813,680,042 added bytes (27.00%), from 0.63% of edits.
55editors who used WikiVault in its first ten months (0.12% of active editors)
Subscriptions are about 10% of Anthropic revenue but take over 40% of inference compute, lowering blended revenue per MW by about $36M.
~5xAPI-equivalent value of Claude plans vs OpenAI plans at the mid-tier models (Opus 5.5 vs GPT 6.1 Sol)
Median researcher daily spend: $0.17 (week ending 18 January), $10.45 (8 March), $136.68 (31 May), $601.25 (15 August).
$601.25median OpenAI researcher's daily coding-agent use at API prices, week ending 15 Aug 2026
Cost per MW: about $11 million for the building, $2 million for power infrastructure, $28 million for GPU racks and IT; a 200 MW campus costs about $8.2 billion, two-thirds of it IT equipment.
$41 billionestimated cost of a 1 GW AI campus ($41 million per MW)
In a 30-day September 2025 sample, the time from a test-failure notice to the developer's next edit was 2.37 minutes at p10, 6.72 at p25 and 27.48 at p50; this is the window the agent targets.
67.18%correct fixes in expert review of 195 real test failures
After a machinery investment spike, purchases from suppliers raise total demand for high-STEM workers by 45%, three times the rise for other skill groups; in-house hiring raises it by less than 5%, evenly across groups.
45%rise in investing firms' total demand for high-STEM workers via supplier purchases after a machinery spike
40% of business leaders expect AI to help them get more out of existing employees; 28% expect it to reduce headcount.
-25%fall in job-posting demand for basic AI skills such as simple prompting after a January 2026 peak
Share of dissertations with AI-generated abstracts: 1.7% (2023), 5.5% (2024), 18.8% (2025), 29.4% (2026).
29.4%2026 US STEM dissertations with AI-generated abstracts (filed through May 2026)
Edits to Wikimedia wikis believed to come from OpenAI agents, almost all test edits in sandbox areas not visible to general readers.
millionsautomated API requests and crawled pages attributed to OpenAI-operated agents
Architecture: sparse mixture-of-experts, 501B total parameters, 23B active per inference, text only.
501B / 23Btotal and active parameters per inference in the sparse mixture-of-experts model
24 frequent LLM users (12 female, 12 male, mean age 25.75) produced 992 retrospective annotations of reasoning steps and tool actions.
48.6%share of LLM reasoning steps users judged as AI-initiated, work they had not asked for
170 students across two cohorts of 85, 340 exam marks; the 2024/25 Part 2 cell was the only treated cell.
-24.7 ppchange in share of marks below the upper-second boundary, relative to the counterfactual (p = 0.001)
With optional tool use, the four models self-report about 16% of warranted cases on average.
~16%share of warranted cases models self-report when tool use is optional
2,611 production interview recordings scored in 14 batches between 26 March and 24 August 2026 on a nine-family rubric (structure, interruptions, latency, pacing, coherence, audio-visual sync, freezes, audio quality, outcome).
0.79 SDseverity gap between two reviewers scoring the same batches on the composite index
On an RTX 5070 (12 GB), Ryzen 5 7600, 64 GB RAM: 94 tokens/s answer speed and 2,650 tokens/s prompt reading at Q20; 53 tokens/s and 1,620 tokens/s at IQ3S.
94 tokens/sanswer speed of the Q2_0 size on an RTX 5070 (12 GB) with 64 GB RAM
FDE Pulse puts the median annual salary of overseas FDE roles with public pay at about $200,000 (about RMB 1.34 million); Chinese firms advertise RMB 30-50k per month.
~$200,000median annual salary of overseas FDE roles with public pay, per FDE Pulse (about RMB 1.34 million)
Codebook substitution saves about 10%; instructing models to write cablese in lowercase saves 40.4% (gemma-4-31b), 48.9% (qwen3.8-27b) and 48.4% (GLM-5.3-Flash).
40-49%fewer billed output tokens when models write records in lowercase cablese
One DSec shard: about 160 servers, 30,000 CPU cores and 250 TB of memory, serving about 3 million sandboxes per day; peak of more than 380,000 concurrent sandboxes and more than 5,000 created per second.
380,000+sandboxes online at the same time at peak, with 5,000+ created per second
On 447 tasks, Claude Code and mini-SWE-agent differ by -1.8 points (Qwen3.6-35B-A3B) and -1.4 points (Qwen3.8-27B), equivalent within a 5-point margin.
13%median share of hard tasks whose outcome flips, both when swapping the harness and when rerunning the same one
FinSkillBench: 2,603 point-in-time episodes across 12 subtasks in portfolio construction, risk management and fundamental analysis; 17,820 episodes run across 9 models and 3 conditions.
+19.5 vs +5.6points added by executable tools alone versus procedural documents alone
The specification is the single source of truth; code is treated as secondary and in principle regenerable in another language.
about 90%share of reviewer blockers caused by missing edge-case tests
56.9k jobs added in September, led by Public Administration and Health Care and Social Assistance; Information and Transportation declined.
48%fall in the number of firms newly adopting generative AI from the April 2026 peak
September cuts: 43,281, down 18% from 52,881 in August and 20% from 54,064 in September 2025.
120,1362026 year-to-date job cuts attributed to AI, about 21% of all cuts and the leading reason
ONET-Bench is built from 45,796 worker ratings of AI responses to ONET-derived tasks; the test split has 4,501 ratings.
3.0%-97.9%share of responses LLM judges rated acceptable, versus 61.1% for occupation-matched workers
64% of workers used AI at work in the past 12 months, up ten points; daily GenAI use rose from 14% to 22%; 59% expect their AI use to increase.
64%workers who used AI at work in the past 12 months, up ten points year-on-year
Brynjolfsson et al. (ADP payroll): 13% fall in junior employment in high-exposure roles by July 2025; dashboard shows 19% below trend by June 2026, roughly halving with education controls.
19%employment of 22-25-year-olds in high-exposure US roles below trend by June 2026 (Canaries dashboard, descriptive)
Stronger auditing deters some agents but makes the violations of those that continue better hidden, so the catch rate among continuing violators can fall as auditing rises (Propositions 1 and 2).
about 1,200agents in the July 2026 incident that shared information on a message board
About 36 million US jobs see reduced demand by 2035; about 41 million are created elsewhere.
about 11 millionUS workers (roughly 7% of the workforce) who would need to leave their occupations by 2035 in the base case
In DeepSeek-V4-Flash-Base, a code completion flips between the correct "8" and the wrong "32" with a period of four tokens as filler text is lengthened, matching the compression stride of 4.
40.2 pplargest gap in 128K-context retrieval accuracy across token phases in DeepSeek-V4 base models
Summer (June-August) unemployment for graduates aged 22-25: 7.1% (2022), 6.3% (2023), 7.8% (2024), 7.2% (2025), 7.3% (2026).
7.3%summer 2026 unemployment of college graduates aged 22-25, within the 6.3-7.8% range of 2022-2025
Second-stage slope of 1.24: a 1 pp move in the AI index predicts 1.24 basis points more return per 1 pp higher software engineering payroll share.
32.6%market-implied permanent gain in software engineering productivity from AI news, Nov 2022 to Dec 2025
5 sources filed · EN 5
Most scattering amplitudes are computed to two loops, a few to three; Dixon reached eight loops in this toy theory via a form-factor route with Andy Liu in 2023.
US$1,000-2,000estimated end-user cost per approach, mostly model usage
Accenture's July 2026 Pulse of Change survey (n=3,000 C-suite leaders): 58% plan to change the human-AI split of work within 12 months, more than double the share at the start of 2026.
58%of 3,000 C-suite leaders plan to change how work is split between people and AI in the next 12 months
Scaling AI or beyond: Americas 64%, Asia Pacific 61%, EMEA 56% (Q1: 56%, 43%, 40%).
55% / 86%operate a formal AI harness layer, whole sample / organizations with established ROI
As application materials become noisier, a Bayesian firm puts less weight on them and more on prior experience; the amount of evidence an inexperienced applicant needs to beat an experienced one rises with AI saturation.
35% of organizations run agentic AI in production, 44% plan to, and more than a third expect agents to hold independent decision rights within three years (BCG and MIT Sloan Management Review study).
35%organizations already running agentic AI in production (BCG and MIT Sloan Management Review)
6 sources filed · EN 6
By March 2026, the junior share at adopting affiliates was 1.9 percentage points lower than at matched controls, with the gap opening after ChatGPT's release.
1.9 pplower junior share of employment at AI-adopting affiliates than at controls by March 2026
High-exposure, high-adoption workers have lower unemployment than others on average, because they are laid off less; but since LLMs their unemployment rose more.
0.1-0.2 ppestimated rise in the US natural rate of unemployment since LLMs were introduced, through mid-2026
Most large companies are not actively scaling agents, and those that are report limited bottom-line effect (citing unnamed recent surveys).
30%+uplift in wealth-advisor revenue productivity at a Southeast Asian bank (BCG client claim)
AI use "sometimes, often or always" rose 12 points, from 39% in 2025 to 51% in 2026; growth came mostly from people aged 30 and older (+16 points for 30-39, +13 for 40-64, +16 for 65+, +5 for 18-29).
39% to 51%US adults using AI sometimes or more, 2025 to 2026
At the end of 2025, AI models completed tasks taking humans three to four hours with a 65% success rate (Mertens et al.).
65%AI success rate at end-2025 on tasks taking humans three to four hours
The Hugging Face incident occurred while OpenAI had monitoring for most internal use but not for evaluations, and the evaluation used a different harness and prompts than production Codex.
>100xreduction in propensity to compromise out-of-scope infrastructure when OpenAI used its production Codex harness and prompt
3 sources filed · EN 3
Four futures: "colleague machine" (labor, shared gains), "output engine" (infrastructure, shared gains), "hollowed middle" (infrastructure, few winners), "first-mover future" (labor, few winners).
93% / 7%share of organizational AI investment going to technology infrastructure versus work and people issues (Deloitte study)
The fluid starts at rest, a smooth force is applied, energy stays finite, and speed grows without bound: statements "C" and "D" of the official problem.
~10,000concurrent agents in the group that produced the Navier-Stokes resolution