Mastodawn

May 5, 2023

RT @cwolferesearch
Prompt engineering for language models usually involves tweaking the wording or structure of a prompt. But, recent research has explored automated prompt engineering via continuous updates (e.g., via SGD) to a prompt’s embedding. Here’s how these techniques work… 🧵 [1/8]

Daniel Duma

May 5, 2023

RT @yoavgo
the amount of chatter and speculation based on a "leaked" document by a random person who works for google is kinda amazing.

Daniel Duma

May 5, 2023

FINALLY
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RT @ZimingLiu11
To make neural networks as modular as brains, We propose brain-inspired modular training, resulting in modular and interpretable networks! The ability to directly see modules with naked eyes can facilitate mechanistic interpretability. It’s nice to see how a “brain” grows in NN!
https://twitter.com/ZimingLiu11/status/1654299718921383936

Ziming Liu on Twitter

“To make neural networks as modular as brains, We propose brain-inspired modular training, resulting in modular and interpretable networks! The ability to directly see modules with naked eyes can facilitate mechanistic interpretability. It’s nice to see how a “brain” grows in NN!”

Twitter

Daniel Duma

May 5, 2023

RT @emollick
Doctors, like most of us, could benefit from learning more statistical reasoning.

They vastly overestimate the odds of disease before testing, and continue to do so after both positive & negative test results! It held for all diseases, from cancer to UTIs https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2778364?utm_source=twitter&utm_campaign=content-shareicons&utm_content=article_engagement&utm_medium=social&utm_term=040621#.YGzBigWpvTE.twitter

Accuracy of Practitioner Estimates of Probability of Diagnosis Before and After Testing

This survey study of physicians, nurse practitioners, and physician assistants explores practitioner understanding of diagnostic reasoning.

Daniel Duma

May 5, 2023

RT @itsandrewgao
WTF: Mind reading is here.

Researchers invented a new #AI method to convert brain signals into video. See the results for yourself

Published in Nature yesterday: https://www.nature.com/articles/s41586-023-06031-6

What are the implications? Is this the biggest paper of 2023?

#CEBRA

Learnable latent embeddings for joint behavioural and neural analysis - Nature

A new encoding method, CEBRA, jointly uses behavioural and neural data in a (supervised) hypothesis- or (self-supervised) discovery-driven manner to produce both consistent and high-performance latent spaces.

Nature

Daniel Duma

May 5, 2023

RT @mark_riedl
At today’s White House meeting on AI:
- OpenAI
- people who left OpenAI because it wasn’t focused enough on existential risk
- people who bought the exclusive rights to everything OpenAI makes
- Google

Daniel Duma

May 4, 2023

RT @MetaLawMan
1/ If the SEC follows through on its threat to sue @coinbase, I believe the SEC will lose.

The SEC's case has a fatal flaw.

And the problem is entirely of @GaryGensler's own making.

Let me explain...

Daniel Duma

May 4, 2023

Not sure about the source of this, but the content is fascinating.

Absolutely worth a read
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RT @simonw
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”

The most interesting thing I've read recently about LLMs - a purportedly leaked document from a researcher at Google talking about the huge strategic impact open source models are having
https://simonwillison.net/2023/May/4/no-moat/
https://twitter.com/simonw/status/1654158105221922816

Leaked Google document: “We Have No Moat, And Neither Does OpenAI”

SemiAnalysis published something of a bombshell leaked document this morning: Google “We Have No Moat, And Neither Does OpenAI”. The source of the document is vague: The text below is …

Daniel Duma

May 4, 2023

Is this not simple wealth transfer from the company to the execs? 🤔

Assuming those employees were productive, the wealth of the company goes down over a certain time, while that of the execs goes up immediately.
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RT @GergelyOrosz
When a company announces letting go 8% of staff - about 600 people - a month after sharing their executive compensation report, it's almost too obvious to compare the numbers.

For Unity:

The 5-person ex…
https://twitter.com/GergelyOrosz/status/1653798663917826048

Gergely Orosz on Twitter

“When a company announces letting go 8% of staff - about 600 people - a month after sharing their executive compensation report, it's almost too obvious to compare the numbers. For Unity: The 5-person exec team made $97M in 2022. Letting go 600 people will probably save ~$120M.”

Twitter

Daniel Duma

May 4, 2023

RT @jeremyphoward
Mojo is *far more* than a language for AI/ML applications. It’s actually a version of Python that allows us to write fast, small, easily-deployed applications that take advantage of all available cores and accelerators!
https://www.modular.com/mojo

Mojo 🔥: Powerful CPU+GPU Programming

Mojo is a programming language that unifies high-level AI development with low-level systems programming. Write once, deploy everywhere - from CPUs to GPUs - without vendor lock-in.