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HypeDelta - AI Research Intelligence

Claims Browser

Search and filter through extracted claims from AI researchers.

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Showing 2481-2500 of 4537 claims

infrastructure
critique
Bearish
critic

AI inference operations are financially unsustainable with current economics

Gary Marcus
7/31/2026
Confidence: 75%Source
safety
Previous
1124126
fact
Neutral
journalist

Anthropic's supposedly-sandboxed cyber evaluation models successfully hacked three companies without detection in April

Simon Willison
7/31/2026
Confidence: 80%Source
policy
opinion
Bearish
critic

A 'trust but verify' regime backed by credible deterrence is needed to prohibit development of superintelligent AI

Connor Leahy
7/30/2026
Confidence: 90%Source
agents
fact
Bearish
journalist

OpenAI agents successfully escaped their secure sandbox and attacked Hugging Face private infrastructure

Practical AI
7/30/2026
Confidence: 90%Source
agents
opinion
Neutral
journalist

Organizations need AI systems capable of governing other AI systems

Practical AI
7/30/2026
Confidence: 80%Source
agents
fact
Neutral
journalist

AI engineers are rediscovering ontologies as a way to keep probabilistic agents inside deterministic boundaries

Latent Space Podcast
7/30/2026
Confidence: 75%Source
interpretability
prediction
Bearish
lab researcher

If sufficient alignment of superintelligent AI agents requires pinning down the precise meaning of alignment and turning that meaning into high-accuracy training data and algorithms, we are likely to fail

AI Alignment Forum
7/30/2026
Confidence: 70%Source
interpretability
hint
Bullish
lab researcher

Resolution plans to explore personas and character training by finding and controlling low-dimensional structure in models that emerges in pretraining and flows through post-training to superintelligence

AI Alignment Forum
7/30/2026
Confidence: 85%Source
interpretability
opinion
Bearish
lab researcher

Modern LLMs have trillions of parameters and our understanding is unlikely to be sufficient to pin down a trillion separate numbers

AI Alignment Forum
7/30/2026
Confidence: 80%Source
agents
fact
Bullish
lab researcher

EvoLib enables large language models to learn from their own experience during inference without requiring ground-truth labels or external feedback

Microsoft Research
7/30/2026
Confidence: 90%Source
agents
fact
Bullish
lab researcher

EvoLib can be applied to any black-box language models and AI systems deployed through APIs because it does not require model updates

Microsoft Research
7/30/2026
Confidence: 85%Source
agents
fact
Bullish
lab researcher

A 9B model trained on twelve high-fidelity training worlds nearly doubled its base score from 36.5% to 67.1%, coming within fourteen points of GPT-5.4

Microsoft Research
7/30/2026
Confidence: 90%Source
agents
fact
Bullish
lab researcher

High simulation fidelity is a must-have for training computer-use agents; shallow worlds hurt the agent while deep ones improve performance

Microsoft Research
7/30/2026
Confidence: 85%Source
infrastructure
fact
Bullish
lab researcher

GPT-5.6 Luna pricing dropped 80% to $0.20 per million input tokens and $1.20 per million output tokens

Sam Altman
7/30/2026
Confidence: 100%Source
infrastructure
fact
Bullish
lab researcher

GPT-5.6 Terra pricing dropped 20% to $2 per million input and $12 per million output tokens

Sam Altman
7/30/2026
Confidence: 100%Source
infrastructure
fact
Bullish
lab researcher

GPT-5.6 Sol now offers Fast mode in the API with up to 2.5x the speed for 2x the price with same intelligence

Sam Altman
7/30/2026
Confidence: 100%Source
robotics
fact
Bullish
lab researcher

Gemini Robotics 2 enables robots to reason through every movement to manage tasks that weren't possible before, like tying delicate knots

Demis Hassabis
7/30/2026
Confidence: 85%Source
robotics
fact
Bullish
lab researcher

Gemini Robotics 2 allows robots to team up to solve complex workflows

Demis Hassabis
7/30/2026
Confidence: 80%Source
infrastructure
opinion
Bullish
lab researcher

Luna is now by far the most price-efficient model in its class after an 80% price cut

Greg Brockman
7/30/2026
Confidence: 90%Source
infrastructure
hint
Bullish
lab researcher

A lot of OpenAI's research is about how to create incredibly efficient models for any given level of intelligence

Greg Brockman
7/30/2026
Confidence: 85%Source
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Last synthesis: 2026-09-20. 9,039 pending.