The potential to lose weight, in this context, is the original post because there was potential but it wasn't shown
This commenter is the person who lost 13kg.
The technology is not different but the demonstration is more impressive
219 karma · joined July 4, 2026
The potential to lose weight, in this context, is the original post because there was potential but it wasn't shown
This commenter is the person who lost 13kg.
The technology is not different but the demonstration is more impressive
"Build me a HTML table"
"Table built.
Two things worth flagging..."
BRO
We can argue about words like thinking and intelligence all day long, and so can an LLM. But at the end of the day the LLM is only mimicking the processes you or I use.
Last week I tried out gpt sol 5.6 and asked it to count the letter r in a massive string of letters, without using an external app. It succeeded until I made the garbage sentence suitably large and then it consistently, confidently failed. Each time the "thinking" showed that it was teething to find a "gotcha" each time. "Ah, the first time I forgot to count the letters in the instruction itself" etc. at no point did it just understand that it had miscounted. It seems to be incapable of considering that it just made a regular mistake. Even a six year old child would just try again the same way and end up with the right answer
They have no intelligence. These are very very very refined prediction engines.
> A common set is having Claude take some product photos and turn them into lifestyle ones using ChatGPT via Claude in Chrome. It's a pretty well-honed workflow at this point, but it'll still return images where the product is obviously not correct and seemingly not notice them.
Obvious to you or I, or someone with actual intelligence. But things like this slip by a frontier model in the same way AI from a few years ago would generate an image with seven fingers. They do not count. They do not understand. They do not consider.
No matter how good these models appear to be at intelligent tasks, it's foolish to give them "a company" to run, because they cannot understand when they've made a mistake the way even the least competent human can.
What I found particularly hard is simulating accurately how gravity works against the aircrafts momentum, and trying to get stall and recovery right
What a fantastic piece of writing. I reread this five times.
This feels like point farming to me