2023-03 → Present
The AI takeoff is happening.
We're measuring it.
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 accelerationModel Capability
Benchmarks, multimodal, agents, context windows, tool use
Compute & Chips
GPU releases, FLOPs/dollar, training clusters, energy
Robotics
Humanoid milestones, autonomous deployments, LLM-driven demos
Research Velocity
arXiv publication rate, breakthrough papers, citation velocity
Open Source
GitHub commit velocity, AI co-authored code, framework growth
Policy
Government action, regulation, defense, trade, AI governance
Latest Signals
Updated dailySpain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center
NVIDIA says Barcelona Supercomputing Center’s accelerator is moving from a pilot to full operation and expanding access for participating startups. Reported startup applications and outcomes remain vendor descriptions, not independent clinical or deployment validation.
Inception launches Mercury 3, a diffusion LLM it claims tops GPT-6 Luna, Claude Haiku 5.5, and GLM-5.3 Flash on agentic benchmarks while being 4x to 8x faster (Jason Hiner/The Deep View)
Inception released Mercury3, a diffusion language model with a stated one-million-token context. The company reports1068tokens/s and advantages over selected speed-optimized rivals in its evaluations; those comparisons and partner testimonials are not independent evidence of universal superiority.
AfriBED: a Speech Recognition Bias Evaluation Dataset for Low Resource African Languages
AfriBED introduces speech-recognition bias evaluation data for Bemba and Nyanja, with baseline analyses of gender and speaker-type differences. Findings apply to the sampled speakers, languages and evaluation design, not all African languages or deployment populations.
Agent World Model in the Wild: Computer-Use Agent Environment Synthesis
WildAWM synthesizes 341 long-horizon computer-use environment/task pairs with executable interfaces and verifier checks. Authors report transfer gains for two trained Qwen models across eight benchmarks; synthetic-world performance is not proof of safe unrestricted computer use.
AGR: Agentic Generative Retrieval with Tool-Augmented Search
AGR interleaves generative retrieval with on-demand feature acquisition through tools. Authors report evaluations on an industrial dataset, public benchmarks and an online A/B test; the abstract does not supply enough detail to generalize deployment impact.
AnyGoal: On World Model Generalization Beyond Expert Rollouts
AnyGoal tests world-model dynamics and planning under goal-shifted recombinations of familiar states and actions. Authors report generalization failures across tested environments and model families, not a universal impossibility result.
Featured Essays
Durable Future Shock pieces from the newsletter archive: agent coordination, AI infrastructure, security, and the systems around the models.
Work
The K-Curve
The widening gap between people who compound value from AI and those who tried it once and bounced.
Open source
The Quantization Underground
How a four-line experiment changed the way small AI models are compressed and run locally.
Coordination
We Made AI Agents Negotiate the End of the World
The same model behaved differently depending on which other agents were in the room.
Agents
The (Missing) Layer Between You and Your Agents
What is missing between the agents doing the work and the person trying to understand what happened.
Infrastructure
The Grid Under the Cloud
The next decade of AI will be shaped by the places that can power, cool, permit, and physically host it.
Accountability
Promise Nothing, Claim Everything
Six competing AI companies arrived at remarkably similar terms for warranties, liability, and training data.
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