Whatever you say about LLMs or AI today will shortly be obsolete:
“Just like Moore’s Law, we saw the doubling in performance every 18 months with AI. We have now started to see that doubling every six months or so,” said Satya Nadella, CEO of Microsoft at the company’s annual Ignite conference in 2024…. One (consequence) is that we are quickly approaching a world in which AI agents can autonomously produce scientific advancements. AI is already being used in fields like biotech… The other development is “agentic AI” that can execute increasingly complex workplace tasks without human intervention. This advancement, which experts say is probably a year away, will reinvent the workplace. Productivity will surge, the nature of white-collar work, and the number of white-collar workers, will change significantly.
Unfortunately, the current U.S. government has embarked on political and policy strategies that will inflict lasting self-harm. Its attacks on American universities will increasingly leave the nation with less scientific funding, broken public-private sector relationships, and much less ability to attract the most ambitious, talented, and highly skilled international students and immigrant labor.
In short, AI will have transformative effects on the domestic politics of every country where it is deployed at scale in the workforce. It will intensify the already contentious rivalry between Washington and Beijing—with direct implications for dozens of other countries. The need to think through the implications is urgent. This train is already in motion and beginning to gather speed.
1,200 words: https://time.com/7308605/politics-of-artificial-intelligence/.
But perhaps not yet:
If there is any field in which the rise of AI is already said to be rendering humans obsolete—in which the dawn of superintelligence is already upon us—it is coding. This makes the results of a recent study genuinely astonishing….
When researchers at MIT recently tracked the results of 300 publicly disclosed AI initiatives, they found that 95 percent of projects failed to deliver any boost to profits. A March report from McKinsey & Company found that 71 percent of companies reported using generative AI, and more than 80 percent of them reported that the technology had no “tangible impact” on earnings…
Every new technology experiences a “productivity J-curve”: At first, businesses struggle to deploy it, causing productivity to fall. Eventually, however, they learn to integrate it, and productivity soars. The canonical example is electricity, which became available in the 1880s but didn’t begin to generate big productivity gains for firms until Henry Ford reimagined factory production in the 1910s.
2,300 words: https://www.theatlantic.com/economy/archive/2025/09/ai-bubble-us-economy/684128/.
And good news from Fix the News (also in Time magazine: link, however this has not yet been peer reviewed):
Doctors say Huntington’s has been successfully treated for the first time, with gene therapy slowing decline by 75% in a 29-patient trial. The one-off treatment, delivered by 12–18 hours of brain surgery, reduced toxic protein levels and preserved neurons. Patients regained function, with some returning to work. Researchers call the results “spectacular,” offering decades of added quality life. BBC
Plus an image from my collection:




