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HypeDelta - AI Research Intelligence

Claims Browser

Search and filter through extracted claims from AI researchers.

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Showing 4181-4200 of 4537 claims

general
fact
Neutral
critic

Current AIs are world-changing only in domains like coding and math where answers can be verified and humans are in the loop

Gary Marcus
7/27/2026
Confidence: 80%Source
general
Previous
1209211
fact
Bearish
critic

Current AIs lack reliability in most domains and cannot be trusted to function autonomously

Gary Marcus
7/27/2026
Confidence: 80%Source
general
opinion
Neutral
lab researcher

Most people are conditioned to expect that all known problems already have canonical solutions and that these solutions are the best that can be achieved

Francois Chollet
7/27/2026
Confidence: 70%Source
general
opinion
Bullish
lab researcher

Entirely new paradigms are absolutely possible in AI, including ones that completely bypass the current tech tree

Francois Chollet
7/27/2026
Confidence: 85%Source
infrastructure
opinion
Bearish
critic

The AI industry might collapse without Nvidia's subsidies

Gary Marcus
7/27/2026
Confidence: 50%Source
policy
opinion
Neutral
critic

New Chinese AI regulations are worth consideration in the U.S., at least in some form

Gary Marcus
7/27/2026
Confidence: 60%Source
safety
prediction
Bearish
critic

Alignment is a distant prospect to solve

Gary Marcus
7/27/2026
Confidence: 80%Source
reasoning
opinion
Bullish
lab researcher

The biggest revolution in reasoning research has been the shift from symbolic languages to natural language

Denny Zhou
7/27/2026
Confidence: 90%Source
reasoning
fact
Neutral
lab researcher

Core ideas for reasoning through iterative improvement with rejection sampling were already present before 2022, only the language of reasoning changed

Denny Zhou
7/27/2026
Confidence: 90%Source
reasoning
opinion
Bullish
lab researcher

The biggest revolution in reasoning research has been the shift from symbolic languages to natural language

Denny Zhou
7/27/2026
Confidence: 90%Source
reasoning
fact
Neutral
lab researcher

Core ideas for reasoning with rejection sampling and program traces existed before 2022, but the language of reasoning changed

Denny Zhou
7/27/2026
Confidence: 90%Source
policy
opinion
Neutral
critic

Chinese AI regulations are worth consideration in the U.S. in some form

Gary Marcus
7/27/2026
Confidence: 60%Source
agents
fact
Bullish
lab researcher

ChatGPT Work can autonomously plan complex multi-step tasks including analyzing chat history, generating options, building full-stack applications, coordinating group decisions, making reservations, and drafting communications

Sam Altman
7/27/2026
Confidence: 90%Source
agents
fact
Bullish
lab researcher

AI agents can now handle end-to-end workflows from natural language prompts without manual intervention

Sam Altman
7/27/2026
Confidence: 85%Source
general
fact
Neutral
critic

Current AIs are world-changing in domains like coding and math where answers can be verified and humans are in the loop

Gary Marcus
7/27/2026
Confidence: 70%Source
reasoning
prediction
Bullish
lab researcher

When AI makes proofs cheap, mathematicians' work will shift toward asking deep questions and formulating new conjectures

Denny Zhou
7/27/2026
Confidence: 70%Source
agents
opinion
Bullish
lab researcher

ChatGPT is increasingly becoming a personal AGI

Greg Brockman
7/27/2026
Confidence: 70%Source
general
critique
Bearish
critic

Current AIs lack reliability in most domains and cannot be trusted to function autonomously

Gary Marcus
7/27/2026
Confidence: 80%Source
general
opinion
Bullish
lab researcher

Entirely new AI paradigms are possible that could completely bypass the current technology tree

Francois Chollet
7/27/2026
Confidence: 75%Source
reasoning
opinion
Bullish
lab researcher

AI is making mathematical proofs cheap

Denny Zhou
7/27/2026
Confidence: 80%Source
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Last synthesis: 2026-09-20. 8,952 pending.