Essays on the far future of intelligence

AI and us, right now · part 1 of 2 · by Bill Guan

The AI flood has reached the mountaintops and the last dry land is the physical world

The big question

Which human skills has AI already matched, and which ones are still ours?

A roboticist drew a map for exactly this back in 1998. You're about to see how high the water has risen by October 2026, and why the last dry peaks are such a strange mix.

Picture every skill people have as land on a map, with easy ones like arithmetic down in the lowlands and hard ones like walking and hand-eye coordination up on the high peaks. Now picture the sea slowly rising over all of it, and ask which peaks are still above the water today.

Your guess first

In March 2026 a new puzzle test launched, built to be easy for people and hard for AI. Humans scored 100% and the best AI scored 0.51%. How long did it take an AI to score 99.9%?

Human skill is a landscape, so the water can take it one peak at a time

The roboticist Hans Moravec gave us one of the best pictures in all of AI. "Imagine a 'landscape of human competence,'" he wrote in 1998, "having lowlands with labels like 'arithmetic' and 'rote memorization', foothills like 'theorem proving' and 'chess playing,' and high mountain peaks labeled 'locomotion,' 'hand-eye coordination' and 'social interaction'" 1.

Then he added the water. "Advancing computer performance is like water slowly flooding the landscape. A half century ago it began to drown the lowlands, driving out human calculators and record clerks, but leaving most of us dry." His forecast for the peaks was that "at the present rate, those too will be submerged within another half century" 1, which puts the deadline at 2048.

Max Tegmark redrew the map in his book Life 3.0 with many more peaks, from art to programming, and picked out one of them, "AI design," in red. His definition of intelligence explains why the picture works so well: "the ability to accomplish complex goals" 2, measured across a whole spectrum of goals, which means there's no single intelligence score for a machine. A system can be superhuman at chess and useless at folding a towel, so the useful question is which peaks are underwater.

By October 2026 the water covers most of the peaks

THE WATER LEVEL IN 2026Moravec's map: higher peaks are harder for machinesHOUSEHOLD TASKSfolding laundry: only in the labHARD OPEN MATH3% of open Erdős problems solvedSCIENCEwater rising fastART & WRITINGcontested, but wetAI DESIGNthe peak that feeds the floodDRIVINGgoing underPROGRAMMING*underwater, with an asteriskTHEOREM PROVINGolympiad gold in 2025COMMONSENSE PUZZLESunderwater since 2019ARITHMETICthe first to drownSTILL DRYUNDERWATER

Commonsense puzzles: underwater since 2019. The Winograd Schema Challenge, a set of sentences that need real-world knowledge to untangle, fell years ago: "By 2019, a number of AI systems... achieved better than 90% accuracy" 3.

Theorem proving: underwater. In July 2025, at the International Mathematical Olympiad (IMO), an advanced version of Google DeepMind's Gemini "solved five out of the six IMO problems perfectly, earning 35 total points," a gold-medal score confirmed by the IMO's president 4. In 2026 several companies claimed perfect scores, though those claims came from the companies rather than the IMO 5.

Programming: underwater, with an asterisk. On SWE-bench Verified, a set of real bug-fixing tasks, the top score was 97% as of September 2026 6, although OpenAI stopped using that test in February 2026 because models had memorized parts of it 7. A better measure comes from the research group METR (Model Evaluation and Threat Research), which found that the length of tasks AI agents can complete on their own "has been doubling approximately every 7 months for the last 6 years" 8. By May 2026 its estimate for one model was at least 16 hours of skilled human work, near the top of what its tests can even measure 9.

Science: the water is rising fast. The 2024 Nobel Prize in Chemistry went partly to Demis Hassabis and John Jumper "for protein structure prediction" with AlphaFold 10. In 2026, Google's AI "Co-Scientist" was reported in Nature to have "discovered new drug targets for liver fibrosis," with the caveat that "rigorous preclinical and clinical assessment would be required" 11.

Driving: going under. Waymo "surpassed 500,000 fully autonomous rides per week" in April 2026, across "11 major U.S. cities" 12.

Art and writing: contested, but wet. Google's Veo 3 video model can now "generate videos with audio," including "dialogue between characters" 13. In one 2025 study, trained writers strongly preferred human prose over prompted AI text, but once the AI was fine-tuned on an author's own books, they preferred the AI 14.

AI design: the peak that matters most. Google DeepMind's AlphaEvolve found a way to speed up a key part of Gemini's own architecture "by 23%, leading to a 1% reduction in Gemini's training time" 15, and in September 2026 OpenAI said it had built an automated "research intern" that can do "well-defined research tasks under human direction" 16.

The newest test fell in six months

ONE TEST, SIX MONTHSARC-AGI-3: easy for people, hard for AI100%99.9%0.51%SIXMONTHShumansbest AIMarch 2026one AISeptember 2026specialized setup

The clearest sign of how fast this moves is ARC-AGI-3 (the AGI in its name stands for artificial general intelligence), a puzzle test built in 2026 specifically to be easy for people and hard for AI. At launch in March, "Humans score 100%. Frontier AI scores 0.51%" 17. By September, one model scored 99.9% with a specialized setup 18.

The test's own makers stress that maxing it out "would not represent 'proof of achieving AGI'" 18, which is fair, but it's a striking six months, and it fits the longer trend METR found, where the length of task an AI agent can finish doubles about every 7 months, which sounds modest until you run it forward.

The last dry land is what a toddler does without thinking

MORAVEC'S PARADOXEASY FOR MACHINESHARD FOR MACHINES?!adult-level testsand checkersolympiad goldin 2025a one-year-old'sperception and mobilityfolding laundry: onlyin the lab in 2026

Here's the twist Moravec saw coming, and honestly it's the part that surprised me most. He also noticed that "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility" 19. That's now called Moravec's paradox, and it has held up beautifully.

A February 2026 review by Epoch AI found that "Navigation is deployed commercially, while most industrial and household tasks are not," and that folding basic laundry is "validated in lab" and still short of everyday use 20. Hard open math is dry too: on a set of open problems posed by the mathematician Paul Erdős, the best system solved 3% 21, and on Humanity's Last Exam, a test of expert-level questions, the top score is around 55% 22.

So the last dry land is a strange mix of the hardest frontier research and the things a toddler does without thinking.

AI design is the peak that feeds the flood

My assessment: Tegmark was right to single out AI design. Every other peak that goes under changes what people do for work, while this one changes the speed of the flood itself, because once AI does a large share of AI research, each improvement helps produce the next. Moravec gave the peaks fifty years from 1998 and the water got most of the way up in under thirty, so the peak that feeds the flood is the one I'd keep watching.

Sources

  1. Hans Moravec, "When will computer hardware match the human brain?" Journal of Evolution and Technology 1 (1998). jetpress.org/volume1/moravec.htm
  2. Max Tegmark, Life 3.0 (2017), ch. 2, via reader notes by Tom Rochette. blog.tomrochette.com/agi/books/max-tegmark-life-3-0-being-hu… [UNCERTAIN: secondary]
  3. Vid Kocijan et al., "The Defeat of the Winograd Schema Challenge" (2023). arxiv.org/abs/2201.02387
  4. Thang Luong and Edward Lockhart, Google DeepMind (2025-07-21). deepmind.google/blog/advanced-version-of-gemini-with-deep-th…
  5. AFP, via TechXplore (2026-07-23). techxplore.com/news/2026-07-ai-humans-score-math-contest.htm…
  6. Vals AI, SWE-bench Verified leaderboard (updated 2026-09-01). www.vals.ai/benchmarks/swebench
  7. Latent Space, "SWE-bench is dead" (2026-02). www.latent.space/p/swe-bench-dead [UNCERTAIN: OpenAI's own post not fetched]
  8. Thomas Kwa et al., METR, "Measuring AI Ability to Complete Long Tasks" (2025-03-19). metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-lo…
  9. The Decoder (2026-05-10), on METR's time-horizon estimate. the-decoder.com/metr-says-it-can-barely-measure-claude-mytho…
  10. Science News on the 2024 Nobel Prize in Chemistry. www.sciencenews.org/article/nobel-prize-chemistry-2024-prote…
  11. Nature press release on Gottweis, Weng et al. (2026-05-20). www.natureasia.com/en/info/press-releases/detail/9330
  12. Sundar Pichai, Alphabet Q1 2026 earnings remarks (2026-04-29). blog.google/company-news/inside-google/message-ceo/alphabet-…
  13. Eli Collins, Google (2025-05-20). blog.google/innovation-and-ai/products/generative-media-mode…
  14. Tuhin Chakrabarty, Jane Ginsburg and Paramveer Dhillon (2025, rev. 2026). arxiv.org/abs/2510.13939
  15. Google DeepMind, "AlphaEvolve" (2025-05-14). deepmind.google/discover/blog/alphaevolve-a-gemini-powered-c…
  16. Jackson Chen, Engadget (2026-09-06). www.engadget.com/2251859/openai-says-it-reached-its-goal-of-…
  17. Greg Kamradt, ARC Prize, "ARC-AGI-3 launch" (2026-03-25). arcprize.org/blog/arc-agi-3-launch
  18. ARC Prize, on GPT-6 Astra (2026-09-03). arcprize.org/blog/astra
  19. Hans Moravec, Mind Children (1988), p. 15, via Wikipedia "Moravec's paradox." en.wikipedia.org/wiki/Moravec's_paradox
  20. Rivière and Denain, Epoch AI, "Where autonomy works: evaluating robot capabilities in 2026" (2026-02-10). epoch.ai/publications/where-autonomy-works-evaluating-robot-…
  21. Adamczewski and Bloom (2026-09-06). arxiv.org/abs/2609.25050
  22. Scale AI, Humanity's Last Exam leaderboard (checked 2026-10-05). labs.scale.com/leaderboard/humanitys_last_exam