Any (non?)digital media? I would be surprised not to see this exact dynamic on BJJ Fanatics. So easy to pick up instructionals with the constant stream of sales and discounts. Not so easy to spend the hours it takes to watch and digest one of those.
Commercial libraries = private library where you pay a membership fee? I’ve not really heard of that here outside of arguably university libraries and similar.
But SF public library has a couple dozen branches or more?
> (as an aside: bland food won't work well on someone who lost their sense of smell from long covid, and prison populations were heavily affected)
The consistent texture of the Nutraloaf may “help” here. My spouse lost her sense of smell (for other reasons than Covid) years ago and now relies heavily on textures for food enjoyment.
Agreed there is a semantic argument here. I don’t think anyone is anthropomorphizing LLMs. I’ve had to adopt “objective” with one customer instead of “task” (my preferred default term) because their industry overloads “task” with something else. Now that said, as you point out, the real objective is next token prediction not “help the user with a truth bomb.” and it just happens to have emergent accidental usefulness (I think a natural bias from the training data).
They (chatgpt et al) do move closer to “clear and coherent” by adding extra layers such as a beam search on LLM outputs. Good to remember that ChatGPT et al are products, not bare metal LLMs.
Looks like Scholar Turbo has GPT-4 and Chatpdf is still on the waitlist. But yeah, these chat-with-your-doc webapps are popping up out of the woodwork.
My long-horizon strategy has been the kinds of roles I take on. A product-focused role lets you go deep into a narrow problem area, whereas a customer-facing consulting/services role forces you to go wide, learning a new area every time. Over the years I’ve used time in the latter to select what to go deep into.
Indeed! I built a system just last year with - count em - three parsers to deal with PDF table extraction, including one built on TableTransformer. And then when GPT4 came out I just copy pasted a PDF into it as-is and darned if it didn’t do at least as good a job.
Now I can’t do this in earnest because of document privacy issues but I’ve diving down the rabbit hole of how small can we go and still get decent results. Spoiler: gpt2 is too small. :-)
> it’s 30+ minute charge time. As great as electric is, an extra hour in the car on a road-trip with 3 kids is a tough sell.
I dissent! Just did a 2-day (each way) road trip with young children and those charging breaks are pretty great and well-spaced for letting them run around and blow off steam. It’s not such a bad idea for the adults either…
IDK I’d say high school. I took a semester welding class at community college and we only spent 3 sessions on MIG (what this appears to be) before moving on to other processes. Most of the learning was around dealing with PPC, listening for the sizzle, identifying a good bead and common mistakes. This seems expensive for a one-class tool, especially since they still need the regular welders to complete the training.
You can choose to program functionally in Java or Python! I do this enough that seeing object oriented Python irritates me. I see this as more of a stylistic choice than forcing new languages.
Cost differential is an interesting thing to consider if this were done at scale. That single missile cost ~$500K (plus flight time for the F22 isn't cheap). How much would each balloon be, especially if some were decoys without any real payload?
That said, drones vs ships seems like a starker cost differential than this.
Funny thing is I’d bet the small amount trickling in to the long tail charities is more impactful to them than a larger amount to the big mega-charities.
I run one of those long tails and Amazon Smile was just right to cover running costs for hosting, bank fees, etc.