I like that they say “outdated” stereotypes like they used to be true but now they aren’t.

Come on people, keep your steroetypes current.

Check out Interstellar

Studying first thing it the morning is what works for me.

I get up early, study/work for a few hours, and then go about my day. If I do something else first any chance at studying evaporates (unless of course there’s the looming deadline).

This Git repo has a list of hidden ESPN APIs that might be useful for automatically pulling data.

Right? I want a PHEV so range isn’t something I really need to think about.

Fun fact: the person your replying to had absolutely no idea that a desalination plant was involved in this process.

Since a lot of people seem to be jumping to extreme conclusions about this based on specious assumptions, here’s how the process works according to the article:

Magrathea — named after a planet in the hit novel The Hitchhiker’s Guide to the Galaxy — buys waste brines, often from desalination plants, and allows the water to evaporate, leaving behind magnesium chloride salts. Next, it passes an electrical current through the salts to separate them from the molten magnesium, which is then cast into ingots or machine components.

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Llamafile is a great way to get use an LLM locally. Inference is incredibly fast on my ARM macbook and rtx 4060ti, its okay on my Intel laptop running Ubuntu.

That link doesn’t work; I’ll assume it says that he was denied asylum because he committed fraud against an Australian citizen. This doesn’t really provide evidence that his claims of being a spy are false, only that he committed fraud in Australia. It’s definitely a point against his character, but not evidence that he lied about being a spy.

Since you aren’t interested in being skeptical of your sources and jumped on the first thing that seemed to match the narrative you were pushing I found some evidence for you. Oddly enough there’s an entire Wikipedia article about him that goes into pretty significant detail about why his claims of being a high level spy are probably false.

It’s odd that you didn’t see the Wikipedia article, I’m sure you have access to Wikipedia in your country don’t you?

The South China Morning Post said a man claiming to be a former Chinese spy was lying without providing any evidence? Well that’s good enough for me, thanks for busting this myth with all this evidence!

Llamafile runs entirely on your machine. The largest one I can run locally is Mistral-7B and Wizardcoder 13B. They seem to be on par with chatgpt-3, but that’s okay for my purposes.

I use it for exactly the same thing.

I used to spend hours agonizing over documenting things because I couldn’t get the tone right, or in over explained, or some other stupid shit.

Now I give my llamafile the code, it gives me a reasonable set of documentation, I edit the documentation because the LLM isn’t perfect, and I’m done in 10 minutes.

A simpler answer might be llamafile if you’re using Mac or Linux.

If you’re on windows you’re limited to some smaller LLMs without some work. In my experience the smaller LLMs are still pretty good as chat bots so they might translate well.

Break down of different self driving levels

🤨

A chatbot with a sick mullet

First, I’m glad you made it to the fediverse Loon-god, you’ll always be a Warrior’s legend.

Second, anecdotally even the crappy results generated by LLMs have value for me. Writing emails, jira tickets, documentation, etc. are all incredibly painful for me. I’ll start an email and suddenly folding laundry I’ve ignored for 2 days is the most important thing in the world for me. Then the email that should take 5 minutes takes me an hour and turns out being way to long and dense.

With an LLM I give it a few bullet points with general details, it spits out a paragraph or so, I edit the paragraph for tone and add specific details, and then I’m done in about 5 minutes.

LLMs help me to complete tasks that I really really don’t want to do, which has a lot of value to me. They aren’t going to replace me at my job, but they’ve have really upped my productivity.

41% is the number of executives that think AI will reduce their work force, not the number of jobs they expect to replace.

Your point stands though.

I like to imagine this was thought up by some ambitious product manager who enthusiastically pitched this idea during their first week on the job.

Then they carefully and meticulously implemented their plan over 3 years, always promising the executives it would be a huge pay off. Then the product manager saw the writing on the wall that this project was gonna fail. Then they bailed while they could and got a better position at a different company.

The new product manager overseeing this project didn’t care about it at all. New PM said fuck it and shipped the exploit before it was ready so the team could focus their work on a new project that would make new PM look good.

The new project will be ready in just 6-12 months, and it is totally going to disrupt the industry!