Robert Hogan
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rob-hogan.bsky.social
Robert Hogan
@rob-hogan.bsky.social
Director of AI @ CergenX, using AI to detect brain injury in newborns // PhD Theoretical Physics | deep learning, science, medtech

https://selfsupervised.substack.com/
Codex in particular is very slick at inviting you to farm out lots of small tasks in parallel.

It's all very cool, but so far I'd only be comfortable with using it for very tiny, easily verifiable changes [I merged ~6/7 PRs of tiny fixes after about 5 mins work from me].
June 5, 2025 at 3:29 PM
They're both asynchronous coding agents that spin up a VM to make changes, test them, commit them and create PRs. They discuss their changes, and show you nice diffs.

This means you can just use your phone if you like and code from ... anywhere.
June 5, 2025 at 3:29 PM
I find this kind of science very exciting because it's accessible to those who can't build the models themselves.
May 15, 2025 at 3:01 PM
May 15, 2025 at 11:36 AM
I cringe when I see headlines from OpenAI leaders about "colonizing the light cone". They will probably continue to get very rich from monthly subscriptions. But it's the science led orgs like Deepmind that will change the world.
May 15, 2025 at 11:36 AM
But Deepmind have been steadily closing the gap on the models front and are just in a league of their own on extracting real tangible value in Science and Engineering.
May 15, 2025 at 11:36 AM
Yes, OpenAI are better at product and leaped ahead with their LLMs. I still prefer using ChatGPT to the alternatives.
May 15, 2025 at 11:36 AM
Fantastic. Thanks so much for sharing
April 5, 2025 at 6:18 PM
Ok, thanks, recordings would definitely be appreciated. We're working on FM for Neonatal EEG so I'm interested to hear about other's experiences
March 11, 2025 at 12:12 PM
Looks really cool. Any remote option?
March 10, 2025 at 8:22 PM
This represents a significant milestone for the field with the first ever demonstration of human expert level performance on held out datasets.
January 13, 2025 at 4:53 PM
First of many for CergenX with our friends in INFANT Research Centre.

Thanks to our co-authors Geraldine Boylan, Sean Griffin, Aurel Luca, Sean Mathieson, and Soraia Ventura.

Supported by Enterprise Ireland DTIF grant
January 13, 2025 at 4:53 PM
😅 definitely part of it. But I think of it more a breakthrough in the crappy post training for prompting issue LLMs have. I wrote a bit more about it here if you're interested open.substack.com/pub/selfsupe...
What Lies Beneath: How Prompts Shape and Limit LLM Potential
Our current models are more capable than we know.
open.substack.com
January 10, 2025 at 9:25 AM
"Our robots are safe, lightweight, and inexpensive - perfect for deploying novel AI algorithms, testing new capabilities among people, and collecting data at scale"

Sounds amazing. Target price point? Would love a hobby robot to train at home.
January 7, 2025 at 12:31 PM
It's an interesting idea to be able to ingest a someones feed and have an LLM judgement of whether they meet some niche category of interest or personality type. Basically automated personal.
January 4, 2025 at 9:40 PM
Interesting, but not sure only ever seeing thing you like is a wise goal. Worrying close to "things I agree with"
January 4, 2025 at 9:23 PM