James MacGlashan

@jmac-ai.bsky.social

Ask me about Reinforcement Learning Research @ Sony AI AI should learn from its experiences, not copy your data. My website for answering RL questions: https://www.decisionsanddragons.com/ Views and posts are my own.

Are policy gradient methods hopeless without other machinery? Deep learning works well when the Hessian is well conditioned. But the policy objective is under no obligation to give us that. And no amount of architecture engineering can rescue us from problems w/ the objective.

At Brown, I'm privileged to organize an AI policy summer school where we bring grad students from across the nation together to learn about policymaking. We travel down to DC as a group and learn about policy implementation and careers, and the students conduct meetings with Congressional offices.

A group of 20 people standing together in front of a building

If we wanted more people to like and embrace AI, maybe we shouldn't have left a bunch of the worst possible people in charge? And maybe we should all collectively show a tiny modicum of empathy to people worried about their livelihoods and meaning in life... I'm really just spit-balling...

the secret sauce to the Mamdani Moment, which I think will produce a genuine difference in the civic and governing outcomes we come to expect from local leaders: this sense of a shared fate changes the game entirely he acts like he’s In It with his city, and that changes what he can ask OF them

I resigned from Google DeepMind bc it broke its founding promise by selling AI to the military without restrictions against killer robots or mass spying. For months, I worked to stop this but watched powerful ethicists and institutions choose silence. Here's what happened. 🧵

Bild

Decouple reviews and curation from publication. Make reviews opt-in from anyone, usually deanonymized, and a contribution in its own right that others use to find good work. Build better social network tooling for discovery. The current game isn't winnable. Let the slop be published, but ignored.

Tony S.F.@tonysf.bsky.social · 4w ago

Big lack of qualified reviewers? The cost of generation seems headed to 0 relative to the cost of verification; seems obvious that we must change norms so verification is seen as more of a contribution? What if we require authors to review for some number of conferences before being able to submit?

photo taken from https://x.com/mar_kar_/status/2074240160758444372

In various settings I see people who will say things like "I hate AI, but I used it to do <thing> because <grand defense of why their use is okay>" Then you don't hate AI. You might hate specific things about how specific AI tech was developed and deployed. It's okay to have a nuanced position.

I don't see the cost of memory coming down until we replace Multi-head attention with linear complexity methods such as those in the linear recurrence class (gated delta nets, etc.). We really need more work in that space.

TMLR has the best policies and approach to conventional publishing for AI. But I've long been of the mind that their approach still isn't enough to combat the systemic issues in conventional publishing. Quotas might help short-term, but we ultimately need to radically change our systems.

Transactions on Machine Learning Research@tmlrorg.bsky.social · last mo.

TMLR has been facing an significant uptick in the number of submissions since the start of 2026. This is placing an extreme burden on our amazing team of reviewers & action editors. To ease this burden, TMLR will be implementing submission quotas, effective July 1. 1/n medium.com/@TmlrOrg/ann...

"The brain is a computer" is not an analogy. It's not likening it to a Von Neumann architecture, nor re-progammability. It's making a claim that is either true or false, but the claim that its false is far more outrageous. This claim also gives us useful tools, so its insight is the right question.

This is why I think we need a further shake up of how peer review and publishing works. Publishing should not be gate kept. Review should be public, ad hoc, discoverable, and part of a scientist's body of work that leads to tenure etc. Curation then sits on top of these distributed adhoc systems.

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