The trillion-dollar question: If AI companies collectively slow the development of AI, will prices also fall more slowly? Read the full report: epoch.ai/publication...
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By dividing the latter by the former, we know roughly how much is left. epoch.ai/data/ai-chi... Code for our coverage estimates is available here: colab.research.google.com/drive/1WMhQ...
We'll keep auditing and improving the ECI as it evolves. The updated ECI codebase remains open source at github.com/epoch-resea....
Explore how AI acknowledgment rates vary by math subfield, use case, and provider: epoch.ai/data/arxiv
- Acknowledgments of AI use in arXiv math preprints rose from 4% in April 2026 to 25% in August, per Epoch AI's tracker.
- About 6% of August papers credit AI with a substantial research contribution, Epoch's top-tier category.
- Differential geometry led the surge, climbing from roughly 8% to 57% in four months.
Anthropic says Glasswing has surfaced 10k+ high- or critical-severity vulnerabilities so far (some remain unpublished). OpenAI's Daybreak program likely adds more. The spike in CVEs likely reflects this wave of AI-assisted discovery. Full Data Insight: epoch.ai/data-insigh...
The AI Chip Users explorer is the next step in our project to map the AI chip supply chain: Which companies sell the most chips: epoch.ai/data/ai-chi... Who bought those chips: epoch.ai/data/ai-chi... The data centers where chips end up: epoch.ai/data/ai-dat...
Over the same period, the share of US adults who reported using AI just one day in the previous week fell from 17% to 10%. Read the full Data Insight and methodology: epoch.ai/data-insigh...
- US adults using AI at least six days a week rose from 8.2% in March 2026 to 18.7% in August, per Epoch AI and Ipsos polling.
- Overall AI use climbed from 50.0% to 56.4% over the same window, while the share reporting no AI use fell from 50.0% to 43.6%.
- The authors warn the August wave asked day counts per service and may understate frequency relative to a single overall-use question.
For more details, check out our website! epoch.ai/MirrorCode
Compute usage differs from ownership. OpenAI + Anthropic own very little of their hardware, renting compute from cloud providers. Google + Meta parent co's have huge compute fleets, but it's not all allocated to their AI labs. epoch.ai/latest/intr... epoch.ai/data/ai-chi...
This is a follow-up to our earlier report on latency scaling in frontier models: epoch.ai/publication...
We’ve started using METR’s Inspect Hawk to run our benchmarks, many of which go into our ECI results. Big thanks to them for open sourcing their great infrastructure, and also for their help getting it set up. Learn more about Hawk here: hawk.metr.org/
GPT-5.6 Sol has been climbing Slay the Spire's Ascension ladder on our Twitch channel for a week, no human in the loop. This Thursday, Claude Opus 5 takes over the climb — live, with commentary. Thursday, July 30 · 12:30 PT twitch.tv/epochaiplays
Recent commentary
AI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023. That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× faster than electricity.
Introducing Benchmark Reviews: our new initiative to audit AI benchmarks. We are launching with 15 benchmarks: 4 Verified, 9 Flawed, and 2 with not enough information for a review.
Another problem from FrontierMath: Open Problems has been solved! The solution was elicited by Becker, Greger, and Peters in an interactive session with GPT-6 Astra. Peters originally suggested the problem for the benchmark. He had this to say.
Can AI tell if you've built your IKEA furniture wrong? Our new benchmark, the Furniture Assembly Benchmark (FAB), gives models the manual and a photo of a half-completed piece of furniture and asks them to spot the mistake. The top score has gone from 28% to 80% in just 10 months.
We estimate AI infrastructure could soon support hundreds of millions or even billions of AI agents. At the high end, that’s enough to rival the working hours of the global human workforce.🧵
AI appears to be finding software vulnerabilities at scale. In June 2026, 21 notable organizations disclosed ~1,500 high- and critical-severity CVEs, over 3.5× the previous monthly record set before Claude Mythos Preview's release.
Claude Opus 5.5 has taken the top spot on the Epoch Capabilities Index (ECI) with a score of 167, narrowly ahead of GPT-6 Astra. Claude Sonnet 5.5 has roughly matched Claude Fable 5.1 (165).
How much more AI compute does a dollar buy each year? About 49%, or a doubling every 21 months, based on the chips actually bought each quarter from 2023 through 2025.
Serious cyber vulnerability disclosures keep climbing. In July, 21 major tech organizations published ~2,500 high- and critical-severity CVEs — about 5× the monthly record before Anthropic revealed Claude Mythos Preview could autonomously find software vulnerabilities.
Moonshot's Kimi K3 scores 156 on the Epoch Capabilities Index (ECI), setting a new open-weights record. This places it between Opus 4.6, and GPT 5.4, which released in February and March 2026 respectively, and just ahead of GPT 5.6 Luna.
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