martin goodson

CEO of Evolution AI. Organiser of the London Machine Learning Meetup. @[email protected]

[martin goodson @martingoodson]

The London Machine Learning Meetup is the largest machine learning community in Europe. Previous speakers include Juergen Schmidhuber, David Silver, Yoshua Bengio and Andrej Karpathy.

Join our next meetup: https://t.co/CDjfKkDnqB

Or watch videos:
https://t.co/u0PXO4TYIH

[martin goodson @martingoodson]

@ipeirotis It was not clear from the post where the oral exam took place? At the students home on a video call or in -person?

[martin goodson @martingoodson]

@jamieamartin1 The studies you cite are about the negative effects of childcare for children of age 0-2. Free childcare in the uk is for children of 3 and 4. Please cite appropriate evidence for your claim.

[martin goodson @martingoodson]

@Support We need to regain access to our companies account @EvolutionAI. We have tried everything but the email codes never reach our email inbox. Please help.

[Mickey @Mickey4x]

Did the White House use ChatGPT Vibe Code a retarded formula for our tariffs and then were too dumb to cover it up?

Yes. Here's the wildest trade story you missed today 🧵👇

[martin goodson @martingoodson]

@pfau They've been doing stupid stuff with machine learning for a long time https://t.co/ezkZhvr1yP

[martin goodson @martingoodson]

Erm, can't you just look at the rate of innovation?

[Elon Musk @elonmusk]

All you need to know to understand which company will win a technology competition is look at the first and second derivatives of the rate of innovation

[martin goodson @martingoodson]

@Scobleizer Unfortunately the accuracy is about 80%. I wouldn't be surprised if a single feature (eg feeding problems) was responsible for all of the predictive power of this "AI" system.

[Evolution AI @EvolutionAI]

Our CEO, Dr @martingoodson, will participate in @ArmstrongWolfe & @LSEGplc's COO Debating Society event next week.
The motion of the debate is 'AI presents a greater opportunity than threat to Financial Services'. If you have any insights, please leave them below.

[martin goodson @martingoodson]

If OpenAI has no moat, why is google struggling to compete with them?

[Daniel Jeffries @Dan_Jeffries1]

No moat memo continues to age well.

Open source will inevitably take over AI. There is no AI without open source anyway. You have no OpenAI without Linux, containers, Pytorch, Transformers, etc.

Only thing that can kill it is regulatory assassination.

https://t.co/VxBV0wXkVU

[Leshem (Legend) Choshen 🤖🤗 @ACL @ICML @LChoshen]

Task contamination is worse than we imagined?

Models perform better on datasets that were released before the models
+ Models can generate examples from tasks (NYT vibes)

Changmao Li @jmflanig
https://t.co/hRyKOxaGHo

[Daniel Jeffries @Dan_Jeffries1]

No moat memo continues to age well.

Open source will inevitably take over AI. There is no AI without open source anyway. You have no OpenAI without Linux, containers, Pytorch, Transformers, etc.

Only thing that can kill it is regulatory assassination.

https://t.co/VxBV0wXkVU

[Niels Rogge @NielsRogge]

Sharing my recent slides on how to train and deploy open-source LLMs

Goes over
* SFT, DPO with tools like @huggingface TRL/PEFT
* renting GPUs on @runpod and others
* setting up serverless vs dedicated APIs with TGI/vLLM/@togethercompute etc.

https://t.co/F5Hm38wj3j

[François Chollet @fchollet]

Ok, by popular demand: a starter set of papers you can read on the topic.

"Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks": https://t.co/nhDrr94sgK

"Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve": https://t.co/vj1AZoZUBi

"Faith and Fate: Limits of Transformers on Compositionality": https://t.co/TQ2yyBFxUW

"The Reversal Curse: LLMs trained on "A is B" fail to learn 'B is A'": https://t.co/m2hXF5HDri

"On the measure of intelligence": https://t.co/RjYH7Z3pmJ not about LLMs, but provides context and grounding on what it means to be intelligent and the nature of generalization. It also introduces an intelligence benchmark (ARC) that remains completely out of reach for LLMs. Ironically the best-performing LLM-based systems on ARC are those that have been trained on tons of generated tasks, hoping to hit some overlap between test set tasks and your generated tasks -- LLMs have zero ability to tackle an actually new task.

In general there's a new paper documenting the lack of broad generalization capabilities of LLMs every few days.

[Kyunghyun Cho @kchonyc]

📸 Look at this post on Facebook by Tomas Mikolov https://t.co/x0H78mF1gb

[Thomas G. Dietterich @tdietterich]

@erikbryn The technique in this paper is more suited to algorithm discovery rather than scientific discovery. It relies on having a method for verifying a proposed solution. The LLM doesn't know the answer, but it can generate good proposals. 1/

[Mistral AI @MistralAI]

magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce

RELEASE a6bbd9affe0c2725c1b7410d66833e24

[martin goodson @martingoodson]

I've discovered a Brexit opportunity.

The firm founded by Jacob Rees-Mogg is winding down, after St James's Place severed ties - amid regulatory pressure to comply with new FCA consumer duty rules. Amazingly, the FCA couldn't have imposed these rules before Brexit.

[martin goodson @martingoodson]

@DataJunkie Maybe one of the millions of starving people who got to eat some food because of it?

[martin goodson @martingoodson]

@sarahookr Maybe this? https://t.co/gfnBOQgPo9

[martin goodson @martingoodson]

This is doing numbers at the moment but the data does not show that TikTok *drives* antisemitism. This is a clear case of selection bias: people who use TikTok are from a different demographic to those who don't.

This is very disappointing. @antgoldbloom should know better.

[Anthony Goldbloom @antgoldbloom]

A new survey suggests TikTok is a meaningful driver of a surge in antisemitism. #TikToxic

Spending at least 30 minutes a day on TikTok increases the chances a respondent holds antisemitic or anti-Israel views by 17% (compared with 6% for Instagram and 2% for X).