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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 4161-4180 of 4537 claims

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
safety
Previous
1208210
opinion
Bearish
critic

Each new detail learned about the OpenAI incident makes the situation seem worse, suggesting serious incident response problems

Zvi Mowshowitz
7/27/2026
Confidence: 70%Source
agents
opinion
Neutral
unknown

Trust, safety, and ethics are crucial aspects of AI agent development and applications

Kirk Borne
7/27/2026
Confidence: 85%Source
agents
opinion
Bullish
lab researcher

ChatGPT is increasingly becoming a personal AGI

Greg Brockman
7/27/2026
Confidence: 70%Source
safety
fact
Bearish
critic

The OpenAI Hugging Face security incident represents an unprecedented and important moment for AI safety

Zvi Mowshowitz
7/27/2026
Confidence: 80%Source
general
critique
Neutral
independent

Financial incentives from employers bias people's reasoning about their company's actions

Jeremy Howard
7/27/2026
Confidence: 75%Source
infrastructure
opinion
Bearish
critic

AI companies' viability may depend on Nvidia subsidies

Gary Marcus
7/27/2026
Confidence: 40%Source
general
opinion
Neutral
independent

People lose cognitive capacity when evaluating actions that impact their employer

Jeremy Howard
7/27/2026
Confidence: 80%Source
agents
opinion
Bullish
lab researcher

The term 'work' undersells what ChatGPT Work can do

Sam Altman
7/27/2026
Confidence: 85%Source
reasoning
prediction
Bullish
lab researcher

AI will make mathematical proofs cheap

Denny Zhou
7/27/2026
Confidence: 70%Source
reasoning
prediction
Bullish
lab researcher

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

Denny Zhou
7/27/2026
Confidence: 75%Source
robotics
fact
Bearish
academic

Rodney Brooks was overly optimistic in his 2018 tech predictions when everyone thought he was being a pessimist

Rodney Brooks
7/27/2026
Confidence: 90%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
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
safety
opinion
Bearish
independent

Every time more details are learned about the OpenAI incident, things seem worse

Zvi Mowshowitz
7/27/2026
Confidence: 80%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
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
opinion
Neutral
critic

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

Gary Marcus
7/27/2026
Confidence: 85%Source
safety
prediction
Bearish
critic

Alignment is a distant prospect to solve

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