Showing posts with label twitter. Show all posts
Showing posts with label twitter. Show all posts

Saturday, May 30, 2026

Ai gives mathematicians the freedom to try crazy ideas

Saturday, May 23, 2026

Fight! Gary Marcus vs. Roon on X

Here's how Grok summarizes the feud:

The clash began Friday when roon, an OpenAI researcher, posted that cognitive scientist Gary Marcus has been 'plainly & clownishly wrong for years' without tagging or allowing replies. Marcus hit back, accusing roon of slander and cowardice, while linking a third-party GitHub analysis of his 2,218 AI predictions from 2022 to early 2026, which found 59.9% supported, 33.7% mixed, and 6.4% contradicted—strong on technical issues like LLM flaws but weaker on market forecasts. The spat highlights deepening rifts in the AI world, where skeptics like Marcus question hype around tools like GPT-5, and boosters dismiss them amid ongoing debates over reliability and progress.

I've read the third-party analysis linked above. It's pretty interesting. 

Here's a sample:

Tuesday, May 20, 2025

Nina rides again, sorta'

Tuesday, December 24, 2024

Smartphone photos 2021 projected to 2026

Check out the whole thread.

Monday, March 4, 2024

Lana & Taylor, Top of the pop: left-right, right-left

H/t Tyler Cowen.

Sunday, January 14, 2024

American tech giants spend more on R&D than France and Italy

Tuesday, April 11, 2023

Generative Agents: Interactive Simulacra of Human Behavior

Saturday, June 11, 2022

What kind of AI would understand this proof? It involves reasoning about visual objects.

Sunday, April 24, 2022

Spatially distributed cortical circuits

Abstract of the linked article:

The traditional view of neural computation in the cerebral cortex holds that sensory neurons are specialized, i.e., selective for certain dimensions of sensory stimuli. This view was challenged by evidence of contextual interactions between stimulus dimensions in which a neuron’s response to one dimension strongly depends on other dimensions. Here, we use methods of mathematical modeling, psychophysics, and electrophysiology to address shortcomings of the traditional view. Using a model of a generic cortical circuit, we begin with the simple demonstration that cortical responses are always distributed among neurons, forming characteristic waveforms, which we call neural waves. When stimulated by patterned stimuli, circuit responses arise by interference of neural waves. Results of this process depend on interaction between stimulus dimensions. Comparison of modeled responses with responses of biological vision makes it clear that the framework of neural wave interference provides a useful alternative to the standard concept of neural computation.

Thursday, July 29, 2021

China's Sputnik moment? [the need for high tech self-sufficiency]

Tuesday, July 20, 2021

The weakness of networked movements

Saturday, May 15, 2021

The brain understands tools as extensions of the body [Merleau-Ponty, right?]

Thursday, May 13, 2021

UK rainfall data digitized by volunteers [Citizen science]

Thursday, May 6, 2021

On bringing bioligcal data to bear on artificial neural networks [I think we're getting somewhere]

Saturday, May 1, 2021

My first "conversation" in Japanese, with the help of Google Translate

Google Translate rendered hashyy's first message as:

When I hear her gentle and smooth performance
It's very calming.
And the sound of Henry's studio
very good.
Finally, listen to what Henry told her
This is an episode where I learned about Henry's thoughts.

Hashyy is  referring to Kwak DaKyung, a remarkable young Korean trumpeter who Henry features in this video. You can see my reply in English in the middle tweet, along with the Google translation.

Google Translate rendered hashyy's second message as:

Thank you for your polite reply.
Episodes I haven't seen yet
While enjoying the new episode
And I want to look carefully.

I then replied: "You're welcome. Enjoy." Google provided the Japanese translation.

Monday, April 26, 2021

Coming attractions: Our future AI overlords, NOT