The best Hacker News stories from All from the past day
Latest posts:
Battery-free Game Boy (2020)
Domain registrar Gandi gets bought out, removes free mailboxes
Flux Keyboard
The Quest for Netflix on Asahi Linux
The Quest for Netflix on Asahi Linux
Bank run on Silicon Valley Bank
Bank run on Silicon Valley Bank
Lessons learned from 15 years of SumatraPDF, an open source Windows app (2021)
HP have updated their printers to ban ‘non-HP’ cartridges
Google Groups has been left to die
Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs.<p>In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised.<p>So here are the episodes sorted by library code. It's fun to explore.<p>Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition.<p>At the same time I asked for a Dewey classification... and it worked. So I replaced a few days of fiddly work with 3 cents per inference and an overnight data run.<p>My takeaway is that I'll be using LLMs as function call way more in the future. This isn't "generative" AI, more "programmatic" AI perhaps?<p>So I'm interested in what temperature=0 LLM usage looks like (you want it to be pretty deterministic), at scale, and what a language that treats that as a first-class concept might look like.
Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs.<p>In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised.<p>So here are the episodes sorted by library code. It's fun to explore.<p>Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition.<p>At the same time I asked for a Dewey classification... and it worked. So I replaced a few days of fiddly work with 3 cents per inference and an overnight data run.<p>My takeaway is that I'll be using LLMs as function call way more in the future. This isn't "generative" AI, more "programmatic" AI perhaps?<p>So I'm interested in what temperature=0 LLM usage looks like (you want it to be pretty deterministic), at scale, and what a language that treats that as a first-class concept might look like.
Who owns private home security footage, and who can get access to it?
Who owns private home security footage, and who can get access to it?
AI is making it easier to create more noise, when all I want is good search
Lisp-powered laptop with a battery life measured in years
Lisp-powered laptop with a battery life measured in years
React is holding me hostage
Retail, search and Amazon’s $40B ‘advertising’ business
Parse, don't validate (2019)