host here. thanks for sharing Tim. highlights for me: Nvidia founding story, his pov on the durability of transformers, the two ways he runs nvidia (shipping reliable chips and exploring new fringe applications), and the apps he’s interested in (eg climate modeling, bio).
Not the OP, but the podcast opens with a pull-quote of sorts (spoken by the host) about how LLMs, for the first time, allow people to program via natural language. This is an exaggeration, but not much of one. I've generated usable Python code with ChatGPT, for example.
I think it's important to note that the whole point of having an opening like this is to intrigue you into listening to the podcast. So of course it's going to be a slightly shocking quote.
discusses the foundation model landscape, how they at nvidia decide to train models (or not), operating model at nvidia, durability of transformers, the h100 chip, what’s next
discusses the foundation model landscape, how they at nvidia decide to train models (or not), operating model at nvidia, durability of transformers, the h100 chip, what’s next
I used chatgpt and it mentioned a plant called the mayapple that contains an ecdna inhibitor called podophyllotoxin. The semi synthetic derivative is Etoposide. Also it mentioned Cisplatin as another ecdna inhibitor.
Healthline says "In other cases, nutmeg overdose has been linked to death when used in combination with other drugs."
I take it to mean you may be more susceptible to death by nutmeg overdose if you are suffering an Irukandji sting - that their venom contains something akin to one of those "other drugs."
do you have to review/publish the “chore” output for this to work? Thinking about how this applies to writing, when I don’t have the creativity every day, but it’s probably still good practice and useful to have the file of ideas
startups aren’t a game of averages. the averages are definitely worse than the FAANGs. choosing well (and getting lucky) are paths to “definitely better.”
It also depends on what your professional goals are (growth, leadership, impact, fun, next opportunities) assuming they are not only monetary.
this area is "strangely underexplored" because it could encourage the exploitation of desperate young people. to be fair, this market already exists (donors already earn money for plasma donations), it's just about whether or not a new use case dramatically grows the market
feedback and guest suggestions?