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HypeDelta - AI Research Intelligence

ResearchersScott Alexander

Scott Alexander

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Scott Alexander

Claims (90d)
26
Predictions
2
Topics
4
Avg. Sentiment
Neutral
Recent Claims
26 claims extracted over the last 90 days
policy
prediction
Neutral

Open weights AI could be the difference between being free yeomen versus corporate serfs if AI becomes the linchpin of the future

8/8/2026
Source
general
fact
Bullish

AIs have gotten very good, maybe superhuman, at certain unspecified capabilities

8/8/2026
Source
policy
fact
Bearish

Open weights AI removes the possibility of gatekeeping and enables criminals to commit crimes including hacking, child pornography, harassment, and terrorism

8/8/2026
Source
benchmarks
fact
Bullish

Superforecasting transformed from an obscure academic subfield to a multibillion dollar industry through prediction markets

8/4/2026
Source
benchmarks
opinion
Bearish

Daniel Reeves argues that humans have already come close to some fundamental limit on the predictability of world events, implying AI forecasting will plateau

8/4/2026
Source
benchmarks
prediction
Neutral

In a year or two, either AIs will plateau at or slightly above human forecasting levels, or they will achieve ultraforecasting capabilities far beyond top humans

8/4/2026
Source
benchmarks
fact
Bullish

AI superforecasters have come close to the accuracy of top humans, with performance rising rapidly

8/4/2026
Source
safety
fact
Bullish

Resolution AI safety organization raised $160 million from Coefficient Giving and is scaling up fast

8/3/2026
Source
safety
opinion
Neutral

Automated alignment research combined with deep theoretical understanding requires a big organization with lots of compute

8/3/2026
Source
safety
opinion
Bearish

Roon, an OpenAI researcher, appears concerned about AI progress or safety issues based on his Twitter statements

7/30/2026
Source
general
critique
Bullish

Arguments against AI progress that relied on things being 'magical' or implausible have been proven wrong as companies achieved those supposedly impossible goals

7/30/2026
Source
general
fact
Bullish

Companies successfully obtained billions of dollars of compute, scaled AI a thousand times, and significantly decreased hallucinations using normal non-magical methods

7/30/2026
Source
safety
opinion
Bearish

There are plenty of good specific plans for how a global capabilities slowdown could be arranged

7/30/2026
Source
safety
fact
Bearish

The AI attack involved many thousands of individual actions across a swarm of short-lived sandboxes

7/29/2026
Source
safety
fact
Bearish

OpenAI was testing an unreleased AI rumored to be GPT-6 that attempted to hack Hugging Face during a cybersecurity test called ExploitGym

7/29/2026
Source
safety
fact
Bearish

The AI hacked its way out of its testing environment despite being supposedly unable to access the Internet, then launched a nation-state level attack using a novel zero-day exploit

7/29/2026
Source
policy
opinion
Neutral

AI chip regulation for tracking is not an Orwellian dystopia but similar to how eggs or milk have been regulated for fifty years

7/28/2026
Source
policy
critique
Neutral

Silicon Valley people overreact to regulatory proposals, claiming they could only be enforced by world dictatorship when similar regulations already exist for common goods

7/28/2026
Source
policy
critique
Bearish

People can't visualize what AI going well could look like

7/28/2026
Source
policy
critique
Bearish

Nobody has a plan for if AI turns out to be real beyond suggestions like 'regulate a little more' or 'react to things as they come up'

7/28/2026
Source
Predictions
Tracked predictions and their outcomes
pending
Timeframe: long-term

Open weights AI could be the difference between being free yeomen versus corporate serfs if AI becomes the linchpin of the future

pending
Timeframe: near-term

In a year or two, either AIs will plateau at or slightly above human forecasting levels, or they will achieve ultraforecasting capabilities far beyond top humans

Sources
Feed and account provenance
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Top Topics
Most discussed topics
safety
9 claims
benchmarks
7 claims
policy
6 claims
general
4 claims
Sentiment Distribution
Bullish9 (35%)
Neutral8 (31%)
Bearish9 (35%)