2023-03 → Present

The AI takeoff is happening.
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Future Shock maps the accelerating trajectory of artificial intelligence — across models, compute, robotics, research, and open source. Updated daily. No hype. No financial advice. Just the signal.

Six Tracking Axes

The dimensions of acceleration
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Model Capability

Benchmarks, multimodal, agents, context windows, tool use

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Compute & Chips

GPU releases, FLOPs/dollar, training clusters, energy

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Robotics

Humanoid milestones, autonomous deployments, LLM-driven demos

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Research Velocity

arXiv publication rate, breakthrough papers, citation velocity

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Open Source

GitHub commit velocity, AI co-authored code, framework growth

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Policy

Government action, regulation, defense, trade, AI governance

Latest Signals

Updated daily
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May 9, 2026

The AI-inflected crisis artists are facing, in 4 charts

An alarming new study reveals the dire impact AI is having on artists' livelihoods. It does offer some hope, too.

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May 9, 2026

Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can work for quick prototypes […] The post Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents appeared first on MarkTechPost .

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May 9, 2026

NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA (Kirsten Korosec/TechCrunch)

Kirsten Korosec / TechCrunch : NHTSA says the 2026 Tesla Model Y is the first car model to pass the agency's new ADAS tests; Tesla conducted the tests and submitted the results to the NHTSA — The National Highway Traffic Safety Administration (NHTSA) said Tuesday that the later release 2026 Tesla Model Y is the first vehicle …

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May 9, 2026

AGI Multi-Agent Alignment Simulation — EA Forum

AGI Multi-Agent Alignment Simulation — EA Forum This website requires javascript to properly function. Consider activating javascript to get access to all site functionality. Hide table of contents AGI Multi-Agent Alignment Simulation by DavidGhiberdic May 8 8 min read 0 2 AI safety Forecasting AI alignment AI governance Research agendas, questions, and project lists Frontpage AGI Multi-Agent Alignment Simulation Multi-Agent Alignment Simulation: A Multi-Agent Geopolitical War Game for the AI Ra

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May 9, 2026

AI emerges as a top cause of layoffs, accounting for 26% of April's job cuts - CBS News

AI emerges as a top cause of layoffs, accounting for 26% of April's job cuts - CBS News Watch CBS News Artificial intelligence is the leading reason companies cite for layoffs for the second straight month, accounting for more than one in four job cuts in April, according to a new report from outplacement firm Challenger, Gray & Christmas. The report found 21,490 AI-related cuts last month, or 26% of the 88,387 total, marking the second straight month the technology has been the top driver of la [Search snippet: Throughout 2026, "market and economic conditions" was the most cited reason, accounting for <strong>53,058 cuts</strong>, the company found. In April, company closures were the second most common reason for job cuts, followed by cost-cutting.]

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May 9, 2026

AI in the Workplace Report (2026) - Founder Reports

AI in the Workplace Report (2026) - Founder Reports Skip to content May 2026 AI in the Workplace Report Original survey data from 2,078 U.S. workers on AI adoption, trust, policy, and the real-world impact of AI-generated work Download the Report Subscribe to Founder Reports Founder Reports surveyed 2,000+ employed American adults in April 2026 to understand how workers use AI on the job, how their employers manage it, and what happens when AI-assisted work gets passed between coworkers. The sur [Search snippet: The survey covered five areas: how often workers use AI tools, whether their employer has an AI policy, how much they trust AI-assisted work from coworkers, whether they review that work differently, and how often they’ve had to fix or redo it.]

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