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HypeDelta - AI Research Intelligence

ResearchersJack Clark

Jack Clark

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Jack Clark

Claims (90d)
27
Predictions
2
Topics
6
Avg. Sentiment
Neutral
Recent Claims
27 claims extracted over the last 90 days
benchmarks
fact
Bullish

AI has caused major acceleration in cybersecurity vulnerability discovery, with the rate of vulnerabilities reported dramatically accelerating in 2026 compared to 2025

8/28/2026
Source
benchmarks
fact
Bullish

At 30B scale, SPADE reaches a suite average of 58.3, showing +8.1 improvement over base model and +5.3 over strongest fixed-environment baseline

8/28/2026
Source
benchmarks
opinion
Neutral

Acceleration in AI capabilities happens through phase changes for specific skills, as evidently occurred with day-to-day coding in 2025 and cyber in 2026

8/28/2026
Source
benchmarks
fact
Bearish

There is no measurable acceleration in AI research optimization from LLMs, with only a couple of attributable contributions in areas like nanoGPT and CIFAR-10

8/28/2026
Source
benchmarks
fact
Bullish

AI has contributed minor acceleration to mathematics research, with arXiv submissions doubling in some areas in less than 12 months, though the value is difficult to quantify

8/28/2026
Source
benchmarks
fact
Bullish

Only Opus 5 and Fable 5 were able to beat any tasks in Tier 7 of DiG-bench

8/28/2026
Source
benchmarks
fact
Bullish

Opus 5 and Fable 5 with Claude Code are the best overall models on DiG-bench

8/28/2026
Source
safety
prediction
Bearish

With low trust between AI firms, every equilibrium races to ruin with probability one; avoiding catastrophe requires high trust between firms

8/28/2026
Source
policy
fact
Neutral

Successfully achieving a coordinated AI slowdown between competing firms requires two key variables: transparency about technology development and ability to model other firms as trustworthy, rational actors

8/28/2026
Source
safety
fact
Bearish

Self-sustaining AI-driven cyber-threats are no longer theoretical

8/3/2026
Source
safety
opinion
Bearish

We must prepare for autonomous generative adversaries that can generate tailored attack strategies for each target

8/3/2026
Source
safety
fact
Bearish

Self-sustaining AI viruses that use LLMs to compromise computers and GPU resources are now technically feasible and have been demonstrated in prototype form

8/3/2026
Source
benchmarks
fact
Bullish

Leading AI models from a year ago would have scored about 30% on MirrorCode, showing rapid improvement over time

7/29/2026
Source
benchmarks
fact
Bullish

Opus 4.7 solved a programming task in 14 hours for $251 that would take a human 2-17 weeks to complete

7/29/2026
Source
benchmarks
fact
Neutral

AI systems cannot yet solve the hardest long-horizon programming tasks

7/29/2026
Source
policy
fact
Neutral

Despite significant changes AI is causing within the economy, it hasn't had measurable impacts on unemployment yet, which remains a puzzle

7/28/2026
Source
safety
opinion
Neutral

Publishing safety and alignment issues observed in internal deployments helps everyone get better information about safety at the frontier

7/28/2026
Source
general
fact
Bullish

AI has progressed from being good at sub-editing to now being capable of helpful editing suggestions, including knowing what text to delete from creative writing.

7/28/2026
Source
safety
fact
Bullish

GLM-5.2 and DeepSeek V4-Pro perform similarly to frontier closed models released 4 to 7 months before them on cybersecurity evaluations

7/28/2026
Source
safety
fact
Bullish

The gap between open and closed weight models on cybersecurity capabilities has shrunk, with recent open models trailing frontier closed models by 4 to 7 months compared to 6 to 10 months through most of 2025

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

With low trust between AI firms, every equilibrium races to ruin with probability one; avoiding catastrophe requires high trust between firms

pending
Timeframe: near-term

The demarcation for the beginning of the 'true foothills' of the singularity lies on June 30th 2026, the day arXiv went from red to black

Sources
Feed and account provenance
  • Source feed
  • jackclarkSF
Top Topics
Most discussed topics
benchmarks
10 claims
safety
7 claims
policy
3 claims
general
3 claims
infrastructure
2 claims
Sentiment Distribution
Bullish14 (52%)
Neutral8 (30%)
Bearish5 (19%)