Literally the very first time I used ChatGPT. I had already been experimenting with GPT3 for various jokes and games via the API but the naturalness of it as a chat interface that understood you changed everything.
The first time I used a terminal agent was another one.
“Flow” moves agents through a yaml flowchart of prompts and decisions. It’s working quite well for a couple of us in Tenstorrent, more to discover here though:
Whoever did this must have realised the users will hate it. So… is this just demonstrating that the internal culture emphasises other things than user happiness?
I also note that ”for PRs” - will we see these appearing as comments in generated code?
We also outlaw vices like physical violence and property theft.
Society is fundamentally counter to individual freedom, and the degree determines the nature of that society and the degree of cooperation possible within it.
This is naive. The people deciding about the bombing will profit most by taking a very large and unlikely position against the market’s predictions and then carrying it out immediately.
Anonymous trading on prediction markets leads to unpredictable chaos in the end. And as destruction is easier than creation that’s what we will see more of.
Example: a fake German market for train punctuality was announced to make a point recently. If it had been real, train staff and passengers could trivially have profited by betting against any expected punctual train and blocking a door for a few minutes. Or betting against many trains and throwing a hopefully fake body onto a busy line.
Having nice things in society is fragile and not a given. They mostly exist through mutual consent and mild disincentives to destroy the common good. Allow people to profit by destroying them and enough of them will.
I’ve been programming professionally for 25 years. Well, 24 really because in the whole last year I barely wrote a line myself but my output increased dramatically.
If you can’t see that it’s over, I’m not sure what to tell you. You will, in time.
Bit flips aren’t always bad hardware. I remember an anecdote from Sandia from my HPC days - they found they were getting more bit flips on some machines than others on their cluster and sometimes correlated.
Turned out at their altitude cosmic rays were flipping bits in the top-most machines in the racks, sometimes then penetrating lower and flipping bits in more machines too.
The landing page reads like it was written with an LLM.
Somehow this makes me immediately not care about the project; I expect it to be incomplete vibe-coded filler somehow.
Odd what a strong reaction it invokes already. Like: if the author couldn’t be bothered to write this, why waste time reading it? Not sure I support that, but that’s the feeling.
Genuinely interesting how divergent people's experiences of working with these models is.
I've been 5x more productive using codex-cli for weeks. I have no trouble getting it to convert a combination of unusually-structured source code and internal SVGs of execution traces to a custom internal JSON graph format - very clearly out-of-domain tasks compared to their training data. Or mining a large mixed python/C++ codebase including low-level kernels for our RISCV accelerators for ever-more accurate docs, to the level of documenting bugs as known issues that the team ran into the same day.
We are seeing wildly different outcomes from the same tools and I'm really curious about why.
https://english.cas.cn/newsroom/cas-in-media/202606/t2026060...