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The AI tools you use every day — Claude, ChatGPT, Gemini — are, in a meaningful sense, frozen in time. They learned everything they know during a multi-month training run, and then the learning stopped. New research published in 2025 and 2026 is attacking this problem from five different angles simultaneously. Here’s what’s actually working,…
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SciPy 1.0 was published in February 2020. In the twelve months ending October 2025 it was cited 1,731 times. That is a five-year-old methods paper picking up roughly five new citations per day, with the rate still climbing. Its acceleration over the prior year is +94 per month, the third highest in the entire top-300…
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Most “trending papers” lists are annual cuts: how many times a paper got cited this year versus last. That misses the shape of the curve. A paper that quietly clocked 200 citations evenly across twelve months looks identical to one that went from 5 per month to 40 per month. The second is actually taking…
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In 2023 the European Society of Cardiology published its first comprehensive guideline on cardiomyopathies. OpenAlex has already logged more than 2,100 citations to that single document, a pace that puts it among the fastest-accelerating clinical papers of 2024. The guideline itself is not the story. The story is what it quietly codified: a drug class…
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Steven Pinker’s Enlightenment Now proves that, on a 200-year baseline, almost everything is up and to the right. Peter Thiel’s The End of the Future argues that, since 1973, almost nothing in the physical world is. Both can be true. The trick is to plot each metric on its own longest available baseline and see…
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Peter Thiel said in 2011 that the future had stalled. Ray Kurzweil said in 2005 that the future was on schedule. Reading both texts now, with a 9.3-million-patent corpus running underneath them, the answer is that they were arguing about different decades — and that the inflection between those decades happened, with disconcerting precision, the…
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What started as a search for hidden innovation in medical devices turned into something bigger — a vision for how AI-driven R&D will need to coordinate across fields, and the infrastructure that doesn’t exist yet.
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Kurzweil said we wouldn’t need to map every connection in the brain. The connectomics field disagreed and just spent a decade doing exactly that.
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The cubic-millimeter human connectome arrived. The nanobots did not. A scorecard on twelve Kurzweil predictions about brain reverse-engineering.
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Ten ALS patients walk around with a bloodstream-delivered brain reader. It just isn’t a nanobot.
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Kurzweil’s 2005 nanotech predictions: where laboratory demos were real, what got built anyway, and which substrates actually won the decade.
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Kurzweil promised molecular assemblers by the 2020s. In 2024 he quietly moved the date to the 2030s. Twelve nanotech predictions, scored against 2026 reality.
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Twelve Kurzweil longevity predictions from 2005, scored against a 2025 mouse rejuvenation trial, a 2026 first-in-human reprogramming IND, 25 senolytic clinical trials, and one bankruptcy.
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Seven approved RNAi drugs, one CRISPR medicine for sickle cell, and a stem-cell cure inching toward filing — but every one arrived through mechanisms Kurzweil did not forecast in 2005.
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Solar got cheaper than Kurzweil dared predict. Then AI broke the demand-side story.
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Ray Kurzweil’s 2005 answer to his critics rested on reversible computing, algorithmic progress, and the claim that complex software isn’t brittle. Twenty years later, the silicon held up. The software part did not.
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Frontier and Hala Point already exceed the computing capacity Kurzweil predicted for human-brain emulation by the mid-2020s. Almost every architectural detail he attached to the prediction was wrong.