§ · Radar · No. 001
The Architectural Determinism C-Suite Radar.
A live scroll of the principals, interpreters, and intellectual fellow-travelers of the two labs this site reads most closely — Anthropic and Google DeepMind — and the adjacent canon that surrounds them.
Curated by Bret Kerr · ACRA Insight · Franklin, MA · Updated every 30 min
— Register I · C-Suite
The principals of Anthropic and Google DeepMind, and the research leads closest to each lab's architectural center of gravity.
Anthropic · C-Suite
Chris Olah
@ch402
Circuits, features, monosemanticity.
Interpretability is finally a field with enough load-bearing results that you can teach a graduate course on it without fudging. Ten years ago we were arguing whether there was a there, there. We were wrong to be so tentative.
Anthropic · C-Suite · Via X
Interpretability is finally a field with enough load-bearing results that you can teach a graduate course on it without fudging. Ten years ago we were arguing whether there was a there, there. We were wrong to be so tentative.
Anthropic · C-Suite
Dario Amodei
@darioamodei
Machines of Loving Grace.
Still the clearest framing I have: most of the argument for building this is downstream of whether the upside — curing disease, compressing a century of biological research into a decade — is real. The safety work is what earns the right to even try.
Anthropic · C-Suite · Via X
Still the clearest framing I have: most of the argument for building this is downstream of whether the upside — curing disease, compressing a century of biological research into a decade — is real. The safety work is what earns the right to even try.
DeepMind · C-Suite
Demis Hassabis
@demishassabis
Scene construction, AlphaFold.
The line I keep returning to: AlphaFold worked because biology turned out to be more structured than we hoped and less structured than we feared. The next decade of AI-for-science is built on finding more domains that live in that same Goldilocks zone.
DeepMind · C-Suite · Via X
The line I keep returning to: AlphaFold worked because biology turned out to be more structured than we hoped and less structured than we feared. The next decade of AI-for-science is built on finding more domains that live in that same Goldilocks zone.
Anthropic · C-Suite
Daniela Amodei
@danielaamodei
Operator-in-chief.
The company is ~2,000 people now. The load-bearing question for an operator is the same as it was at 200: are the teams working on problems that still matter six months from the day they started? Most orgs fail this quietly.
Anthropic · C-Suite · Via X
The company is ~2,000 people now. The load-bearing question for an operator is the same as it was at 200: are the teams working on problems that still matter six months from the day they started? Most orgs fail this quietly.
Anthropic · C-Suite
Induction Heads
@inductionheads
The mechanistic frontier.
New write-up on attribution graphs at scale is up. The headline finding is boring in a good way: the pattern that worked at 1B transfers to 70B with only mechanical changes. Load-bearing boring.
Anthropic · C-Suite · Via X
New write-up on attribution graphs at scale is up. The headline finding is boring in a good way: the pattern that worked at 1B transfers to 70B with only mechanical changes. Load-bearing boring.
Anthropic · C-Suite
Tom Brown
@nottombrown
Scaling laws, embodied.
Scaling is not a theory anymore. It is a curve you fit and then plan a capex cycle around. What surprises me after eight years is how much capacity remains at every level — data, architecture, serving — for people willing to do the unglamorous work.
Anthropic · C-Suite · Via X
Scaling is not a theory anymore. It is a curve you fit and then plan a capex cycle around. What surprises me after eight years is how much capacity remains at every level — data, architecture, serving — for people willing to do the unglamorous work.
DeepMind · C-Suite
John Jumper
@johnjumpersci
Protein structure, solved.
The question I get asked most often since Stockholm: what is next after structure prediction? The honest answer is that structure was the warm-up. The real prize is dynamics — and we are not there yet.
DeepMind · C-Suite · Via X
The question I get asked most often since Stockholm: what is next after structure prediction? The honest answer is that structure was the warm-up. The real prize is dynamics — and we are not there yet.