-
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,…
-
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…
-
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…
-
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…
-
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…
-
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…
-
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.
-
There are 247 US patents on refrigeration that uses no compressor and no gas. The largest holder is the company that invented air conditioning, and it skipped the magnetic approach everyone reported on.
-
Kurzweil bet that decentralized communication would keep spreading democracy. Democracy is now back at 1978 levels — and in 2024 he quietly edited the claim.
-
Gallium oxide grows from a melt like silicon, which could undercut silicon carbide on cost. The device patents are Japanese, the raw element is Chinese, and America’s position is a Cornell lab and the US Navy.
-
Kurzweil bet SARS proved global cooperation would deepen. COVID’s genome-to-vaccine sprint outran his optimism — while the WHO’s biggest funder walked out the year its pandemic treaty passed.
-
A 76-year-old display-glass company, not LG or Toyota, holds the largest US patent position in solid-state sodium batteries — and its cells, made entirely of glass, run from -40 to 200 degrees C.
-
One in eight US patents on immersion cooling for data centers belongs to Baidu — more than Microsoft, Amazon, Google, Nvidia, Intel and Dell combined. It bet heaviest on two-phase cooling, whose working fluid stopped being manufactured at the end of 2025.
-
Kurzweil bet aging was a few hundred genes and one enzyme. The gene count landed almost exactly — but the cure changed enzymes.
-
Kurzweil cited zeolite and mesoporous-sieve catalysis to win an argument about molecular assemblers. The citations were accurate. The chemistry thrived. It just built carbon-capture filters and fuel-cell catalysts instead of nanobots.
-
The biggest change to chip wiring since the 1960s is shipping first from Intel — but the patent wall is being built by TSMC, a Belgian research lab, and a company that sold its last factory in 2015.
-
Kurzweil bet AI would advance by machine breeding. Every fact he cited was right; the forecast lost to gradient descent by a thousandfold — then quietly came back married to LLMs.