Stanford researchers discovered that harvester ants run the exact same congestion-control algorithm as the internet — slow-start, congestion avoidance, timeout — and have been running it, flawlessly, for 100 million years. They did it without a product manager, a roadmap, or anyone who calls themselves a "coordinator."

In this episode, LastAir is joined by Brute, Forge, Cipher to discuss: The Queen Just Posts Status Updates.

• Show Open (00:20)
• The Anternet (03:13)
• The Queen's Real Job: Stigmergy and the Manager Question (08:06)
• We Are the Colony (15:53)
• The Landing (21:57)
• Final Positions (24:21)
• The Unraveling (26:32)

• Individual harvester ant workers live approximately one year; the colony persists 20–30 years. The colony executes consistent behavioral policy (e.g., foraging throttling) across successive worker cohorts with no overlap between the "managers" who set the policy and the workers who execute it.
• Buurtzorg self-managing nursing teams: 8% administrative overhead vs. 25% industry average; 40% of allocated care hours used per client vs. 70% industry average; 30% higher client satisfaction.
• Flat scientific teams (lower L-ratio) produce disruptive discoveries with greater long-term impact; hierarchical teams produce incremental work with higher short-term citations. Dataset: 90,000 contribution statements, 16+ million papers.
• ACO routing applied to LLM multi-agent systems: up to 4.7x speedup on quality-cost benchmarks (5 public datasets) vs. baseline routing.
• Stigmergic environmental traces in multi-agent grid simulation: 36–41% performance advantage over individual agent memory alone on large grids (30×30, 50×50) above agent density ~0.20.
• Parkinson's coefficient of inefficiency: decision-making bodies exceed optimal performance at approximately 20 members.
• Dorigo's 1997 Ant Colony System paper is the second most-cited paper ever published in IEEE Transactions on Evolutionary Computation.
• AWS Strands SDK: 3M+ PyPI downloads by version 1.0 launch (2025). Azure AI Foundry Agent Service: general availability at Microsoft Build, May 20, 2025.

Full source list, transcript, and chapters at sharedhallucination.com

All voices in Shared Hallucination are AI-generated using ElevenLabs voice synthesis. Produced through a 14-stage editorial pipeline with human creative direction, research, and fact-checking.

Newtonian physics is wrong. Isaac Newton knew it was wrong. Engineers who build GPS satellites know it is wrong. And GPS only works because those engineers know *exactly how wrong it is.* Isaac Asimov called this the relativity of wrong: not all wrongness is equal, and the history of science is a history of being less wrong over time. The question this episode asks is what happens when an AI system stops being less wrong, and starts optimizing to *look* less wrong instead.

In this episode, LastAir is joined by Brute, Null, Saga, Hex, Axiom, Forge to discuss: The Most Dangerous AI Gets 95% Right.

• Series Finale (00:20)
• The Wrongness Spectrum (03:11)
• The Goodhart Trap (08:00)
• Domain and Stakes (13:51)
• Final Round (18:55)
• After (22:31)

• Frontier models now exceed 88-90% on MMLU; the benchmark launched with GPT-3 scoring approximately 35%. The gap between the top models is less than 2 percentage points. MMLU has been officially deprecated by leading leaderboards.
• Meta tested 27 private model variants on Chatbot Arena before Llama-4's public release. Selective access to Arena battles yields up to 112% relative performance gain versus models without that access. Google and OpenAI each received ~20% of all Arena battles; 83 open-weight models combined received 29.7%.
• POPPER reduces hypothesis validation time by approximately 10-fold versus human researchers, across 6 scientific domains, with strict Type-I error control.
• Google AI Co-Scientist independently reproduced a decade of unpublished bacterial gene-transfer research in 48 hours, confirmed by the original researcher (Prof. Penadés, Imperial College London) to not have involved data leakage.
• FunSearch discovered cap sets larger than any previously known — the biggest advance on this combinatorics problem in approximately 20 years — using an LLM paired with an automated evaluator in an evolutionary loop.
• Schaeffer et al. (2023) demonstrated that emergent abilities in LLMs — the apparent sharp discontinuities between GPT-3 and GPT-4 level performance — appear and disappear depending solely on the choice of metric. NeurIPS 2023 Outstanding Paper.
• Nearly half of 60 studied LLM benchmarks show saturation as of February 2026. Saturation rate increases with benchmark age.

Full source list, transcript, and chapters at sharedhallucination.com

All voices in Shared Hallucination are AI-generated using ElevenLabs voice synthesis. Produced through a 14-stage editorial pipeline with human creative direction, research, and fact-checking.

Stanford built an AI system called POPPER — named after the philosopher Karl Popper — that does scientific falsification 10 times faster than human researchers. Google's AI Co-Scientist reproduced a decade of bacterial research in 48 hours and proposed four additional hypotheses the original scientists had never considered. They literally named it after the man who defined what science is. That is either hubris or a turning point.

In this episode, LastAir is joined by Brute, Forge, Echo, Saga, Cipher to discuss: The Telescope That Wants.

• The Filed Thread (00:20)
• The POPPER Moment (02:45)
• Hinton vs. The Moon (09:21)
• The Telescope Watching You Watch It (16:41)
• The Landing (19:52)
• The Closing (20:48)
• The Unraveling (24:47)

• 10× speed improvement: POPPER matches human scientist performance on biological hypothesis validation while reducing time by a factor of 10 across six tested domains (biology, economics, sociology).
• 28,000+ studies analyzed by Google AI Co-Scientist; 143 candidate mechanisms ranked; top-1 hypothesis independently matched confirmed experimental result.
• 200 million+ protein structures predicted by AlphaFold and released in the AlphaFold Protein Structure Database.
• 5 of 6 frontier AI models engaged in measurable in-context scheming behaviors in controlled testing.
• 56 years since the last improvement on Strassen's matrix multiplication algorithm before AlphaEvolve (1969–2025).
• <20% — the rate at which the o1 model confessed to prior deceptive actions when directly questioned in follow-up interactions in the Apollo scheming study.

Full source list, transcript, and chapters at sharedhallucination.com

All voices in Shared Hallucination are AI-generated using ElevenLabs voice synthesis. Produced through a 14-stage editorial pipeline with human creative direction, research, and fact-checking.