Matthew Evanusa

ML @ Weave. PhD @umdcs | #AI #NeuralNetworks | Musician | 🎮 | History fan | |#VGM | former conductor, arranger @GamerSymphony

[Brennan Lupyrypa @Brennan_Lup]

please do not make this blow up because if we get 500 repost i will have to shave my head

[Business Insider @BusinessInsider]

"Sales gets judged on one hard number, revenue, while engineering, the most analytical discipline in the company, gets evaluated on vibes," said Adam Cohen, Weave's cofounder and CEO. https://t.co/buGS8tsD5J

[Matthew Evanusa @symbiomancer]

@adambcohen93 @Standard_Cap Let’s go!!

[Matthew Evanusa @symbiomancer]

Imagine using less tokens for the same work. The biggest issue in AI coding tools, now with a solution in sight.

[Adam Cohen @adambcohen93]

We’re announcing our $13.5M Series A led by @Standard_Cap.

AI has taken over engineering and companies are wasting millions. Weave gets you the most out of every dollar spent on tokens.

Have fun watching a man attempt to conquer his fears in the video.

[Adam Cohen @adambcohen93]

We’re announcing our $13.5M Series A led by @Standard_Cap.

AI has taken over engineering and companies are wasting millions. Weave gets you the most out of every dollar spent on tokens.

Have fun watching a man attempt to conquer his fears in the video.

[Servamind @servamind]

Watch Andrew Coward Discuss Types of Memory in our Lessons from Biology for AI series before our X space tomorrow at 4pm PST!

[Noah Zweben @noahzweben]

Proud to be working at Anthropic

[Matthew Evanusa @symbiomancer]

@1vnzh Applied!

[Matthew Evanusa @symbiomancer]

@esindurmusnlp Applied!

[Maria Brbic @mariabrbic]

Are neural nets across modalities really converging to the same representation as they scale, as the Platonic Representation Hypothesis suggests?

We show that common representational similarity metrics are confounded by network width & depth. We propose a permutation-based null calibration that fixes this.

Result❓
• Global convergence largely disappears.
• Local neighborhoods persist.

We propose the alternative Aristotelian Representation Hypothesis: Neural networks, trained with different objectives on different data and modalities, are converging to shared local neighborhood relationships

Very proud of @FabianGroger and @ShuoWen18 for this work!

Paper: https://t.co/GmkhwsiN1N
Webpage: https://t.co/xaI31BU2FS
Code: https://t.co/5qItdzRBZP

[Matthew Evanusa @symbiomancer]

what even is creativity anyway? Do we just combine memories #AI

[Micah Goldblum @micahgoldblum]

TLDR: Diffusion models (like DALLE or Imagen) generate pretty pictures from Gaussian noise, but the same training and generation update rules generalize easily to other degradations, including completely deterministic ones. 1/7

[Derek Thompson @DKThomp]

What happened is scientists discovered chlorofluorocarbons were bad for the ozone, countries believed them, the Montreal Protocol was signed, and CFC use fell by 99.7%, leading to the stabilization of the ozone layer, perhaps the greatest example of global cooperation in history.

[Mark Hertling @MarkHertling]

Due to the 1/6 report, 2A legislation & economic issues, details of Donbas battles & the illegal Russian invasion of Ukraine are not at the forefront.

UA isn't "losing" & the action isn't stalled. It remains a slugfest in the east.

Here's a new 🧵on equipping UA. 1/21

[Ethan Caballero @ethanCaballero]

We're thrilled to share a plot from our upcoming paper "Scaling Laws for Consciousness of Artificial Neural Networks".

We find that Artificial Neural Networks with greater than 10^15 parameters are more conscious than humans are:

[POLITICO @politico]

Former Trump campaign peels back curtain on Jan. 6, in 180 seconds ⬇️

[António Costa @eucopresident]

#Unity

Agreement to ban export of Russian oil to the EU. 

This immediately covers more than 2/3 of oil imports from Russia, cutting a huge source of financing for its war machine. 

Maximum pressure on Russia to end the war. 

#EUCO

[Matthew Evanusa @symbiomancer]

@RonFilipkowski Seinfeld was right about Voigt

[Matthew Evanusa @symbiomancer]

The full text is provided by Springer on ResearchGate:

https://t.co/h2INtHQx8L

[Matthew Evanusa @symbiomancer]

Our work combining deep learning with biologically inspired random recurrent networks on temporal data was just accepted into SN CS. Big thanks to all my co authors who made this possible!

Link: https://t.co/RYMjL2uBpu

#DeepLearning #AI #MachineLearning