theterrasque

Damage to company or rich people's property? Why, that sounds like terrorism

This case also highlights how the use of artificial intelligence (AI) can potentially contribute to the development of preventable adverse health outcomes. Based on the timeline of this case, it appears that the patient either consulted ChatGPT 3.5 or 4.0 when considering how he might remove chloride from this diet. Unfortunately, we do not have access to his ChatGPT conversation log and we will never be able to know with certainty what exactly the output he received was, since individual responses are unique and build from previous inputs.

However, when we asked ChatGPT 3.5 what chloride can be replaced with, we also produced a response that included bromide. Though the reply stated that context matters, it did not provide a specific health warning, nor did it inquire about why we wanted to know, as we presume a medical professional would do.

https://www.acpjournals.org/doi/10.7326/aimcc.2024.1260

Management: "But the coin miners are the only ones maintaining the server, if it wasn't for that it would have died long time ago"

https://www.computerworld.com/article/3990472/china-takes-edge-computing-to-orbit-with-first-space-based-processing-network.html

So someone thinks it's not entirely stupid

Yes, which has improved some tasks measurably. ~20% improvement on programming tasks, as a practical example. It has also improved tool use and agentic tasks, allowing the llm to plan ahead and adjust it's initial approach based on later parts.

Having the llm talk through the tasks allows it to improve or fix bad decisions taken early based on new realizations on later stages. Sort of like when a human thinks through how to do something.

We'll still have models like deepseek, and (hopefully) discount used server hardware

I've seen some saying that "lifetime" refers to product lifetime, which is not expected to be more than X years. So yeah, slimes gonna slime

Whoa, this isn't wood shop class?

"South American shot after opening fire on police searching for illegal immigrant gang members"

FTFY

Well, it wasn't a comment on the quality of the model, just that the context limitation has already been largely overcome by one company, and others will probably follow (and improve on it further) over time. Especially as "AI Coding" gets more marketable.

That said, was this the new gemini 2.5 pro you tried, or the old one? I haven't tried the new model myself, but I've heard good things about it.

Yeah, I've been seeing the same. Purely economically it doesn't make sense with junior developers any more. AI is faster, cheaper and usually writes better code too.

The problem is that you need junior developers working and getting experience, otherwise you won't get senior developers. I really wonder how development as a profession will be in 10 years

Working on a big codebase, I don't even get the idea to ask an AI, you just can't feed enough context to the AI that it's really able to generate meaningful code...

That's not a hard limit, for example google's models can handle 2-million-token context window.

https://ai.google.dev/gemini-api/docs/long-context