LLMs can’t help when key decisions don’t feature objectively correct probabilities but rather subjective probabilities that need interpretation.
Read More ›
In the short run this system is being propped up by the big tech players but for a stable future, it needs to be self-sustaining.
Read More ›
The distillation technique that DeepSeek apparently uses to poach OpenAI’s database results, over time, in a loss of information on the internet.
Read More ›
GenAI is not neutral. It rides on our God-given gift of language, builds trust that leaves us open to deception, and changes us in ways we don’t notice.
Read More ›
Dr. McDonald emphasized that AI is best used as a tool to enhance human abilities, not replace them.
Read More ›
The complex legal wrangle continues but, in general, I would advise against treating AI products as legally equivalent to human products.
Read More ›
Smith: “It’s really hard, but I hope you’ll consider what I have to share and stop telling people they should use AI in ministry.”
Read More ›
Here’s the problem with the use case for LLMs: If you know the answer, you don’t need to ask an LLM; if you don’t know the answer, you can’t trust one.
Read More ›
The new reality is one where efficiency, not just brute computing power, will dictate the future of artificial intelligence.
Read More ›
Because LLM AIs never understand a single word, image, video, or line of code, they can’t know whether anything they say is right, true, or good.
Read More ›
AI can be a helpful tool when used appropriately but, he warns, the current AI boom mirrors past economic bubbles, driven by hype and inflated expectations.
Read More ›
Identification of statistical patterns in text that Large Language Models (LLMs) do not understand is not going to give us AGI, let alone superintelligence.
Read More ›
Question: If thoughts can only be copied — and copied badly — by AI, which is quite unlike the brain. then how can they be generated by the brain?
Read More ›
Recognition is growing that fundamental challenges make LLMs unreliable. Increasingly expensive scaling will likely hasten the popping of the AI bubble.
Read More ›
A reality check for LLMs is inevitable, and with OpenAI, “Project Strawberry,” and the new hype cycle — thanks to Chollet and others — it’s already here.
Read More ›
We’ll need an architectural approach that can handle propositions—thoughts, judgments, reasoning structures—as first-order objects.
Read More ›
True believers don’t focus on short-term trends because they aren’t very positive. But short-term trends should be consistent with a long-term forecast.
Read More ›
Sewell killed himself at the urging of a speaking and texting chatbot. The next gen is nearly flawless human impersonation video bots. Protect your children.
Read More ›
Information theorist Dembski thinks that the statistical averages that bots depend on mean they will necessarily regress to the mean and result in mediocrity.
Read More ›
Not only isn’t there a huge commercial market for digital plagiarism by chatbots, they are attracting huge copyright lawsuits instead.
Read More ›