Artificial Intelligence

Not the author, but I'm interested in discussion about how you're using AI.

I'm not as stuck on Claude as a model as much as the author. I find their limits on rates really too low to use as an effective coding partner, I spend more time waiting for it to time back in than actually doing something useful, GPT4 does better with less hanging. O1 is better, and I haven't figured out how to use Deepseek on Cline yet. I'm not going to use a different editor than VSCode to code in, so Cursor isn't really interesting.

I don't use AI for much other than that, as I find the search results on things like Perplexity kinda worthless compared to what I can come up with without trying very hard. And chatting with an AI isn't something I've found useful either.

Good quote at the end IMO:

The greatest inventions have no owners. Ben Franklin’s heirs do not own electricity. Turing’s estate does not own all computers. AI is undoubtedly one of humanity’s greatest inventions; we believe its future will be — and should be — multi-model

The author argues that "by encouraging the use of GenAI, we are directly undermining the principles we have been trying to instill in our students."

OpenAl saved its biggest announcement for the last day of its 12-day "shipmas" event. On Friday, the company unveiled o3, the successor to the o1 "reasoning" model it released earlier in the year. o3 is a model family, to be more precise as was the case with o1. There's o3 and o3-mini, a smaller, distilled model fine-tuned for particular tasks. OpenAl makes the remarkable claim that o3, at least in certain conditions, approaches AGI - with significant caveats. More on that below.

Microsoft wants an AI companion to follow you around the web. This is only the beginning.

A groundbreaking AI model that creates images as the user types, using only modest and affordable hardware, has been announced by the Surrey Institute for People-Centred Artificial Intelligence (PAI) at the University of Surrey.

Is it possible to train reward models to be both truthful and politically unbiased?

This is the question that the CCC team, led by PhD candidate Suyash Fulay and Research Scientist Jad Kabbara, sought to answer. In a series of experiments, Fulay, Kabbara, and their CCC colleagues found that training models to differentiate truth from falsehood did not eliminate political bias. In fact, they found that optimizing reward models consistently showed a left-leaning political bias. And that this bias becomes greater in larger models. “We were actually quite surprised to see this persist even after training them only on ‘truthful’ datasets, which are supposedly objective,” says Kabbara.

Agritech apps are providing personalized advice to small farmers

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It seems that when you train an AI on a historical summary of human behavior, it's going to pick up some human-like traits. I wonder if this means we should be training a "good guy" AI with only ethical, virtuous material?

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