Funny

And Spotify was barely making a loss AND had a lot of revenue. They were just putting more capital into infrastructure, etc. instead of profits.

When it comes to technology that nations consider existential to their existence. There is always enough money.

They have multiple plausible paths to profitability. To claims there's none is just stupid. If they succeed or not is another question. But it's absolutely plausible.

The product and profitability towards the average citizen of the world, is such a microscopic part of their goals. People using their product is nothing more than data to feed their model. When they're done. Their profits are not going to come from people. It's going to come from the US government and companies. The investments being poured into OpenAI isn't just disappearing into a black hole, lots of it remains in the hardware and digital infrastructure required for the project.

Even if their public worth drops to 0. They will still keep being funded. Because the research is too important to let go of.

I believe he is suggesting we turn them into very large breasts, or in some cases big booties, depending on your preference and what part of the world you're in.

Might mean "silicon", but might want to bang the LLM. Hard to know.

Words have meaning...

• Answer questions (with references) about source code and documentation
• Add clear-bounded features to a pre-existing codebase
• Transpile between programming languages

Stuff I can do myself perfectly well, but the results - after postprocessing - are indistinguishable from me having done so. Even when accounting for everything (including hallucinations) the time savings are real: Renewables-powered electricity is cheaper than my attention. By a lot.

Caveat: This only works if you're already a domain expert and if you do it exclusively for too long, you might be at risk of ceasing to be such an expert. Don't use it to try and do the thinking for you.

I handle so many text files in my job and LLMs help make the scripts for me to handle these text files. I know it is important to at least know stuff like regex but I am not a superhuman. It is difficult for me to heavily specialize in scripting while also specialize in the technicalities of my job. To help show why it is difficult to specialize scripting, I work with hardware description languages which have a different syntax from scripting languages. Handling different languages causes confusion on the proper syntax even with a basic if else statement because the syntax is different between languages.

Aside from this, it can also help me automate describing what the sequences I created in the file for easy documentation. I just have to instruct the "patterns" it needs to look for. I just need to proofread the output and do minor fixes.