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HypeDelta - AI Research Intelligence

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Search and filter through extracted claims from AI researchers.

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Showing 841-860 of 931 claims in topic "general"

general
opinion
Neutral
independent

People lose cognitive capacity when evaluating actions that impact their employer

Jeremy Howard
7/27/2026
Confidence: 80%Source
general
Previous
14244
opinion
Bullish
lab researcher

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

Francois Chollet
7/27/2026
Confidence: 80%Source
general
opinion
Bearish
critic

Current AIs are not general-purpose systems that can be trusted, which limits their real-world impact

Gary Marcus
7/27/2026
Confidence: 80%Source
general
fact
Neutral
critic

Current AI systems are smart in some ways but lack reliability in most domains and cannot be trusted to function autonomously

Gary Marcus
7/27/2026
Confidence: 80%Source
general
critique
Bearish
academic

Computationalism as a model for understanding living organisms and brains is fundamentally flawed

Rodney Brooks
7/27/2026
Confidence: 70%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
general
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
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
opinion
Neutral
critic

Lack of trustworthiness is what limits AI's impact, not lack of intelligence

Gary Marcus
7/27/2026
Confidence: 85%Source
general
prediction
Bullish
critic

When AIs can be trusted to function autonomously, it will be a big deal

Gary Marcus
7/27/2026
Confidence: 70%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
general
opinion
Neutral
lab researcher

Current AI solutions are not optimal and can be significantly improved or replaced with better approaches

Francois Chollet
7/27/2026
Confidence: 70%Source
general
critique
Bearish
academic

Earlier AI predictions from 2018 were overly optimistic despite being perceived as pessimistic at the time

Rodney Brooks
7/27/2026
Confidence: 80%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
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
general
prediction
Bullish
critic

When AIs can function autonomously and reliably, it will be a big deal

Gary Marcus
7/27/2026
Confidence: 60%Source
general
fact
Neutral
academic

AI technology has gone in different directions than predicted eight and a half years ago

Rodney Brooks
7/27/2026
Confidence: 75%Source
general
opinion
Bearish
critic

Smart yet untrustworthy employees that cost a lot of money aren't necessarily world-changing, which describes current AI

Gary Marcus
7/27/2026
Confidence: 70%Source
general
opinion
Bullish
lab researcher

Most known problems do not have optimal canonical solutions, and new paradigms that completely bypass current technology trees are possible

Francois Chollet
7/27/2026
Confidence: 85%Source
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