HypeDelta
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HypeDelta - AI Research Intelligence

Researchers80,000 Hours

80,000 Hours

other

80,000 Hours

Claims (90d)
18
Predictions
4
Topics
4
Avg. Sentiment
Neutral
Recent Claims
18 claims extracted over the last 90 days
safety
opinion
Bearish

Governments should slow AI development while we work out which alignment methods can be trusted

8/28/2026
Source
safety
critique
Bearish

Nobody has a strong argument that current alignment plans will work for superintelligence

8/28/2026
Source
safety
prediction
Bullish

Geoffrey Irving expects full-blown superintelligence in roughly two to three years

8/28/2026
Source
general
opinion
Neutral

People consistently make big mistakes when thinking about AGI timelines in 14 identifiable ways

8/8/2026
Source
agents
fact
Bullish

Andrej Karpathy completely reversed his view on AI agents from calling them 'slop' to describing them as 'alien tools' that are 'rocking the profession' within two months

8/8/2026
Source
agents
fact
Bullish

AI models now complete software engineering tasks that would take human professionals a full day

8/8/2026
Source
agents
fact
Bullish

Anthropic's revenue is growing at an annualised 8,400%, which if continued would hit the whole world's GDP in 2028

8/8/2026
Source
agents
fact
Bullish

Claude now writes 80% of Anthropic's code and is itself a key contributor to making itself smarter

8/8/2026
Source
agents
fact
Bullish

AI models are making breakthroughs in famous mathematics puzzles

8/8/2026
Source
policy
fact
Neutral

Some AI researchers continue building advanced AI despite believing it may cause mass job displacement or existential risk

7/28/2026
Source
policy
fact
Neutral

AI researchers are motivated by a mix of optimism, techno-determinism, and fear of creating a permanent underclass

7/28/2026
Source
policy
prediction
Bearish

Many AI researchers believe there will not be many jobs left for today's 17-year-olds due to AI advancement

7/28/2026
Source
policy
opinion
Neutral

Middle powers could band together to build their own frontier models for approximately $500 billion over four years, which is feasible for the G7 minus the US

7/28/2026
Source
policy
prediction
Neutral

Despite the feasibility of a coalition-built frontier model, it probably won't happen due to political and economic barriers including sovereign debt concerns, lack of business case, US coercion risks, and domestic backlash

7/28/2026
Source
policy
prediction
Bearish

Once frontier AI becomes a core economic input post-AGI, countries without access to it will lack true sovereignty as they become dependent customers with no economic leverage

7/28/2026
Source
policy
opinion
Neutral

Encode's strategy of taking many experimental swings in AI policy advocacy has proven effective despite some setbacks

7/27/2026
Source
policy
fact
Neutral

Encode AI successfully spearheaded a coalition strong enough to take on $125m-funded anti-regulation lobbyists and achieved major policy victories including California's SB-53 and New York's RAISE Act

7/27/2026
Source
policy
fact
Neutral

OpenAI subpoenaed Encode's general counsel at his home in 2025 as part of opposition to AI regulation efforts

7/27/2026
Source
Predictions
Tracked predictions and their outcomes
pending
Timeframe: near-term

Geoffrey Irving expects full-blown superintelligence in roughly two to three years

pending
Timeframe: medium-term

Many AI researchers believe there will not be many jobs left for today's 17-year-olds due to AI advancement

pending
Timeframe: long-term

Once frontier AI becomes a core economic input post-AGI, countries without access to it will lack true sovereignty as they become dependent customers with no economic leverage

pending
Timeframe: medium-term

Despite the feasibility of a coalition-built frontier model, it probably won't happen due to political and economic barriers including sovereign debt concerns, lack of business case, US coercion risks, and domestic backlash

Sources
Feed and account provenance
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Top Topics
Most discussed topics
policy
9 claims
agents
5 claims
safety
3 claims
general
1 claims
Sentiment Distribution
Bullish6 (33%)
Neutral8 (44%)
Bearish4 (22%)