Bottom line: Text generative AIs do not capture meaning. They capture relationships which approximate meaning well enough to be useful.
Read More ›
By 2020, authors Yudlowsky and Soares were already Doomers but the rapid success of ChatGPT and similar models heightened their worries.
Read More ›
Circular financing is the last gasp for OpenAI and the cloud services. They need it to maintain the mirage of an economic boom despite big losses and small revenues for AI software.
Read More ›
I suspect there will never be enough Band-Aids to stop all of the bleeding. So instead of “Trust but verify,” I recommend “Verify, then trust.”
Read More ›
Human trainers can nudge LLMs to give good answers for specific questions but this training doesn’t prepare them for subtle variations.
Read More ›
LLMs, while they seem to offer confident answers, cannot reflect on what they’re generating and so can’t wisely discern truth from falsehood.
Read More ›
Companies can apply OpenAI’s models to a limited set of data and questions, creating a smaller model that is cheaper to train, update, and run.
Read More ›
Far from heralding a coming secular triumph over God, the verbal output of chatbots suggests that, generally, people conclude that God must in fact exist.
Read More ›
The fundamental problem remains; models like GPT-5 are hobbled by their inherent inability to relate the text they input and output to the real world.
Read More ›
From recent news: ● “AI Adoption Rate Trending Down for Large Companies” Down? The US Census Bureau conducts a biweekly survey of 1.2 million firms, and one question is whether a business has used AI tools such as machine learning, natural language processing, virtual agents or voice recognition to help produce goods or services in the past two weeks. Recent data by firm size shows that AI adoption has been declining among companies with more than 250 employees, see chart below. Torsten Sløk, Apollo Chief Economist, September 7, 2025 Apollo is a coaching firm for investors. Currently, unemployment is up but it’s still more likely to be due to traditional issues than “A hot bot got my slot!” However, some Read More ›
Here’s the problem with artificial general intelligence: asking how to make systems “general” is asking how to remove the very constraints that made them work.
Read More ›
Even when we get a quantum leap forward, it quickly signals that it too is a dead end for the bolder ambitions of true AGI.
Read More ›
The test also shows GPT 5.0’s inclination to praise a user’s acuity, whether the user’s comment is correct or incorrect, intelligent of dumb.
Read More ›
As John West writes, “essentially OpenAI is using its technology as a replacement for human counselors and advisors.”
Read More ›
In an era where politicians, celebrities, and businesses can get away with blatant untruths with little or no consequence, will the same be true of LLMs?
Read More ›
It’s no mystery why LLMs aren’t intelligent in any meaningful way. The real mystery is why so many otherwise intelligent people still take the claims seriously.
Read More ›
One change is that Sam Altman, CEO of OpenAI, the maker of ChatGPT-5, seems to be acknowledging that the AI bubble might soon burst.
Read More ›
If this is a tech Gold Rush, based on recent news, we might be better off selling shovels than investing in the gold.
Read More ›
But here’s the punchline: I was wrong on an important point and Copilot let me stay wrong!
Read More ›
LLMs excel at simple coding tasks but are still too unreliable to use without extensive human supervision on complex tasks where mistakes are expensive.
Read More ›