our central estimate is around 660,000 H100-equivalents

$200,000 per year in wasted standup meetings

AI agents submit pull requests every few minutes

About 6% of conversations with Claude involve seeking personal guidance

help large enterprises deploy AI responsibly across their core business operations

52.5% reduction in hallucinations

ARC-AGI-3 was officially released this week. All frontier models score below 0.5%

Stripe then sets a default limit of $100.00 USD/month as the maximum the agent can spend on any one provider.

Let’s say your product is a coding agent. You’d love for people to be able to take what they’ve built and get it deployed to production, using Cloudflare and other services.

We’ve seen remarkable adoption since its launch, with over 103,000 agents built and a total of more than 1.1 million agent sessions recorded

We've spent five years building that surface area across Mac, Windows, and Linux, exceeding a million lines of code.

The average employee AI usage was 1.5 hours per week. The average CEO AI usage was less than one hour per week.

37,000 lines per day. And this was the output.

IT budgets are getting blown out as some companies increasingly spend more on AI than on employees' salaries.

some of the most reputable people in quantum hardware and quantum error-correction—people whose judgment I trust more than my own on those topics—are now telling me that a fault-tolerant quantum computer able to break deployed cryptosystems _ought_ to be possible by around 2029.

When we looked, use of “goblin” in ChatGPT had risen by 175% after the launch of GPT‑5.1, while “gremlin” had risen by 52%.

As per The Information, Meta employees used a total of 60.2 trillion AI tokens (!!) in 30 days.

Claude Code used to be a feature of the $20/month Pro plan, but according to the new pricing page it is now exclusive to the $100/month or $200/month Max plans.

the numbers are mindboggling, they mostly serve to reinforce the sheer hardware advantage that a decade of investment has given to GDM and any models they train and serve.

Human advisors endorsed fraudulent investments at baseline rates of 13-14%, versus 0% across all LLMs, and suppressed warnings under pressure at two to four times the AI rate.

LLM agents could potentially do the work of intelligence analysts in a fraction of the time and for a fraction of the cost, which would enable the state to aim its all-seeing eye toward anyone, not just its highest-priority targets.

These teenagers are sometimes handed “pre-idea funding”—hundreds of thousands of dollars, or in rare cases, even millions—before they have the glimmer of an actual company in mind.

Space rocks that fell to Earth within the last century contain the five bases that store information in DNA and RNA

One study (Fagan, 1976)

one study conducted at IBM (Jones, 1991)