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HypeDelta - AI Research Intelligence

Claims Browser

Search and filter through extracted claims from AI researchers.

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Showing 2641-2660 of 4537 claims

multimodal
opinion
Bullish
academic

Physics-based features allow foundation models to outperform pure data-driven approaches in chemistry

Anima Anandkumar
7/29/2026
Confidence: 80%Source
multimodal
Previous
1132134
fact
Bullish
academic

Orbitall is 100x faster than UMA in reactions with solvents

Anima Anandkumar
7/29/2026
Confidence: 90%Source
general
critique
Bearish
critic

Current AI falls short of the Singularity

Gary Marcus
7/29/2026
Confidence: 85%Source
multimodal
fact
Bullish
academic

Orbitall is a 50x smaller model than UMA but outperforms it

Anima Anandkumar
7/29/2026
Confidence: 90%Source
multimodal
fact
Bullish
academic

Orbitall foundation model uses 35x less molecular training data than frontier UMA model

Anima Anandkumar
7/29/2026
Confidence: 90%Source
policy
opinion
Bearish
independent

Banning distillation is dumb

Nathan Lambert
7/29/2026
Confidence: 80%Source
policy
critique
Neutral
independent

Anthropic's open-weight model piece contains nothing new

Nathan Lambert
7/29/2026
Confidence: 70%Source
infrastructure
opinion
Bullish
lab researcher

ChatGPT Work is an awesome product for enterprises

Greg Brockman
7/29/2026
Confidence: 70%Source
general
opinion
Bearish
critic

SPCX stock would trade lower if people were more aware of Elon's missed promises

Gary Marcus
7/29/2026
Confidence: 60%Source
general
fact
Neutral
critic

Elon Musk predicted AGI by 2025

Gary Marcus
7/29/2026
Confidence: 90%Source
general
critique
Bearish
critic

Elon Musk has made many missed promises regarding AI and technology

Gary Marcus
7/29/2026
Confidence: 80%Source
general
opinion
Bearish
critic

We are not actually at the singularity yet despite CEO claims

Gary Marcus
7/29/2026
Confidence: 95%Source
infrastructure
opinion
Bearish
critic

The Oracle-OpenAI $300 billion deal never made economic sense

Gary Marcus
7/29/2026
Confidence: 90%Source
policy
opinion
Bullish
lab researcher

Open-weight models will prevent America from being left behind in AI development

Arthur Mensch
7/29/2026
Confidence: 60%Source
policy
opinion
Bullish
lab researcher

Open-weight models will ensure we live in a safer digital world

Arthur Mensch
7/29/2026
Confidence: 60%Source
scaling
prediction
Bullish
academic

Future AI systems may be trained on collections of existing models instead of raw data

TWIML AI
7/29/2026
Confidence: 50%Source
scaling
prediction
Bullish
academic

Weight space learning could dramatically reduce the cost of developing specialized models

TWIML AI
7/29/2026
Confidence: 60%Source
scaling
opinion
Bullish
academic

Weight space learning, which treats trained neural networks as data, is an overlooked approach that can transfer knowledge from existing models

TWIML AI
7/29/2026
Confidence: 70%Source
scaling
fact
Bearish
academic

High-quality training data is becoming harder to find and pretraining is growing increasingly expensive

TWIML AI
7/29/2026
Confidence: 80%Source
scaling
fact
Neutral
academic

AI has advanced for more than a decade by training ever-larger models on ever-larger datasets

TWIML AI
7/29/2026
Confidence: 90%Source
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Last synthesis: 2026-09-20. 9,033 pending.