Benchmarks are everything. GDPval measured general intelligence. GDPx will measure the path to superintelligence.
Excited to partner with @SemiAnalysis_ as their exclusive RSI provider.
RSI is the most misunderstood domain. I kickstarted the RSI team at @spacexai in early 2026. Here's why I think it matters:
https://t.co/e3LGEcPYxz
Anyone sufficiently motivated can hack most systems right now, but they should fear retroactively getting caught by a stronger model in the future, through whatever trace they leave today
In other words, a promise of future enforcement w/ better tech is the strongest deterrent.
Hard to overstate how big of a deal this is.
tl;dr — ANY unpatched Linux server with even a single TCP port exposed to the internet (say for HTTP or SSH) and MPTCP active (default for many Go web servers) is vulnerable to complete takeover.
Ted Chiang wrote a story in the year 2000 about a hypothetical future where “human science” could only dedicate itself to interpreting the science of a greater intelligence.
Human mathematics is already going in this direction
https://t.co/MKSB5aMFsS
Many people's mental model on AI is incorrect. It's not a machine god that will render all human work obsolete, at least not in the short term. It is closer to an industrial process, what we call "patchwork AGI" that requires human guidanece to grow and evolve
Everyone's mental model on AI progress seems wrong—it is not a continuous frontier—it is more like what @emilianogl and I call "Patchwork AGI".
Let us know what you think! https://t.co/nGSBfXpj2L
We had an extremely successful founding dinner to discuss sovereignty gaps.
Based on the discussion, we are releasing our first Requests for Startups to plug them, check them it out here: https://t.co/89HMk2py9N
Announcing Hone
Intelligence has become abundant. Yet the world looks remarkably similar to how it did five years ago. With every model release, the gap between what frontier AI can do and the economic value derived from it widens.
Closing the gap requires re-organizing work around organizational outcomes, not individual tasks. Hone builds AI that creates, orchestrates, and improves agents and software continuously to own organizational outcomes over weeks and months.
We are ex-founders and early core contributors to Cognition, Mercor, Ramp, and OpenAI. We obsess over real-world value, not theoretical benchmarks.
Our core beliefs on closing the gap in the thread below.