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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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Intel built an owl-scale neuromorphic box, MICrONS mapped a cubic millimeter of mouse cortex, and the Human Brain Project wrapped. Kurzweil’s 2020s whole-brain deadline did not survive the decade.
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Kurzweil bet that reverse-engineering the brain was the road to AGI. The intelligence arrived on a different road — and it runs on a learning rule he called biologically unrealistic.
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Kurzweil’s 2005 proof-of-concept examples for AI diagnostics had a 50% mortality rate at the exemplar level — and 100% survival at the thesis level.
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Kurzweil nailed the BCI side of restoring movement. He was wrong about what would actually do the moving.
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Kurzweil predicted in 2005 that stem-cell restrictions would accelerate transdifferentiation. A year later, Yamanaka did exactly that. Here is what the rest of his regulation thesis got right — and what 2025 is quietly rewriting.
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Kurzweil in 2005 picked torcetrapib and Apo-A-I Milano as his evidence that atherosclerosis reversal was imminent. Both failed. The drugs that actually regressed plaque came from mechanisms his book did not name.
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One vindication by procurement, one falsification by Eroom’s Law, and a nanobot deadline that even Kurzweil has pushed back.
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Every mechanism Kurzweil predicted for 2010s nanomedicine has now worked in a human body at least once. The clinic still looks nothing like he drew.
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Seven 2005 predictions about replacement organs, therapeutic cloning, and bloodstream nanobots — graded against 2026 reality.