Claims Browser

R-lens directions for intermediate variables are more causally important than J-lens directions

"R-lens directions for intermediate variables are more causally important than J-lens directions"

Technology development and deployment operates at four different time scales simultaneously

"four different time scales that technology development and deployment works at simultaneously"

R-lens is a drop-in replacement for J-lens that produces clearer readouts on earlier layers of neural networks

"We introduce the R-lens: a drop-in replacement for J-lens that produces clearer readouts on earlier layers"

R-lens shows a substantial quantitative advantage over J-lens that increases as models scale

"R-lens shows a substantial quantitative advantage over J-lens that increases as models scale, measured across a variety of evaluation categories"

R-lens produces qualitatively different readouts at earlier layers, significantly reducing incoherent tokens compared to J-lens

"R-lens produces qualitatively different readouts at earlier layers, significantly reducing the amount of incoherent tokens compared to J-lens"

R-lens can capture concepts that J-lens never does, especially concepts appearing exclusively in early layers

"R-lens can sometimes capture concepts that J-lens never does, especially if these concepts appear exclusively in early layers"

Hugging Face provided detailed independent description of the OpenAI security attack

"Hugging Face independently described the OpenAI attack in a lot of detail"

Codex + GPT-5.6 Sol Ultra better understood the 'heist' and 'team' aspects of a game creation prompt compared to another model

"I had Codex + GPT-5.6 Sol Ultra try the same prompt and the result was a better game - it understood the "heist" and "team" aspects better, you have to rescue your two raccoon crewmates and then stack on top of each other to steal the Golden Sardine from a museum"

OpenAI provided a detailed timeline of the Hugging Face security incident from their perspective at Black Hat

"Thanks to the video from the Black Hat security conference of OpenAI's presentation about "The Hugging Face Incident" we now have a detailed timeline of what happened from OpenAI's perspective"

OpenAI first learned they were responsible for the Hugging Face attack when they contacted HF to revoke a credential and were told it had already been revoked due to the attack

"Don't miss the bit where OpenAI first found out they were responsible for the Hugging Face attack when they reached out to HF to get one of their credentials revoked and HF told them it had already been revoked because it had been used to attack them!"

Successfully achieving a coordinated AI slowdown between competing firms requires two key variables: transparency about technology development and ability to model other firms as trustworthy, rational actors

"The conclusion is that the two key variables in achieving stable outcomes are some level of transparency about technology development, as well as being able to model the other firms as trustworthy, rational actors."

Nvidia's stock slipped on news related to their AI business developments

"The stock slipped a bit on the news [217.55 at close, though up a bit this morning in premarket]"

Public opposition to data centers is rising rapidly according to an Annenberg Public Policy Center poll

"this new poll from the Annenberg Public Policy Center is really striking. Opposition to data centers is rising fast"

Opposition to data centers crosses party lines

"it is a sentiment that crosses party lines"

TabuLM is the first language model pre-trained on Kinyarwanda tabular data

"We present TabuLM, the first language model pre-trained on Kinyarwanda tabular data."

TabuLM achieves 62.0% exact match on TabQA-kin, outperforming KinyaBERT-large by 5.7 EM points and multilingual baselines by 11.7-12.7 points

"TabuLM achieves 62.0% exact match on TabQA-kin, outperforming KinyaBERT-large by 5.7 EM points and all multilingual baselines (mBERT 49.3%, XLM-R 50.0%) by 11.7-12.7 points."

Structural table embeddings are most decisive for comparison and lookup questions, while morphological awareness provides complementary gains

"Analysis shows that structural table embeddings are most decisive for comparison and lookup questions, while morphological awareness provides complementary gains."

Cross-lingual word-to-speech mappings can be learned directly from visual grounding without transcriptions or explicit model training

"Our work demonstrates that cross-lingual word-to-speech mappings can be learned directly from visual grounding without transcriptions or explicit model training."