People Twitter

I love that this mirrors the experience of experts on social media like reddit, which was used for training chatgpt...

First off, the beauty of these two posts being beside each other is palpable.

Second, as you can see on the picture, it's more like 60%

40% seems low

ChatGPT is a tool. Use it for tasks where the cost of verifying the output is correct is less than the cost of doing it by hand.

If the standard is replicating human level intelligence and behavior, making up shit just to get you to go away about 40% of the time kind of checks out. In fact, I bet it hallucinates less and is wrong less often than most people you work with

Talking with an AI model is like talking with that one friend, that is always high that thinks they know everything. But they have a wide enough interest set that they can actually piece together an idea, most of the time wrong, about any subject.

I feel this hard with the New York Times.

99% of the time, I feel like it covers subjects adequately. It might be a bit further right than me, but for a general US source, I feel it’s rather representative.

Then they write a story about something happening to low income US people, and it’s just social and logical salad. They report, it appears as though they analytically look at data, instead of talking to people. Statisticians will tell you, and this is subtle: conclusions made at one level of detail cannot be generalized to another level of detail. Looking at data without talking with people is fallacious for social issues. The NYT needs to understand this, but meanwhile they are horrifically insensitive bordering on destructive at times.

“The jackboot only jumps down on people standing up”

• Hozier, “Jackboot Jump”

Then I read the next story and I take it as credible without much critical thought or evidence. Bias is strange.

I've been using o3-mini mostly for ffmpeg command lines. And a bit of sed. And it hasn't been terrible, it's a good way to learn stuff I can't decipher from the man pages. Not sure what else it's good for tbh, but at least I can test and understand what it's doing before running the code.

I did a google search to find out how much i pay for water, the water department where I live bills by the MCF (1,000 cubic feet). The AI Overview told me an MCF was one million cubic feet. It's a unit of measurement. It's not subjective, not an opinion and AI still got it wrong.

This, but for tech bros.

Most of my searches have to do with video games, and I have yet to see any of those AI generated answers be accurate. But I mean, when the source of the AI's info is coming from a Fandom wiki, it was already wading in shit before it ever generated a response.

I just use it to write emails, so I declare the facts to the LLM and tell it to write an email based on that and the context of the email. Works pretty well but doesn't really sound like something I wrote, it adds too much emotion.

Deepseek is pretty good tbh. The answers sometimes leave out information in a way that is misleading, but targeted follow up questions can clarify.

I use chatgpt as a suggestion. Like an aid to whatever it is that I’m doing. It either helps me or it doesn’t, but I always have my critical thinking hat on.

One thing I have found it to be useful for is changing the tone if what I write.

I tend to write very clinicaly because my job involves a lot of that style of writing. I have started asked chat gpt to rephrase what i write in a softer tone.

Not for everything, but for example when Im texting my girlfriend who is feeling insecure. It has helped me a lot! I always read thrugh it to make sure it did not change any of the meaning or add anything, but so far it has been pretty good at changing the tone.

Also use it to rephrase emails at work to make it sound more professional.