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Huh, this is the least interesting thing I've written about prompt injection in the last few weeks, but the only one to make it to the Hacker News homepage.

Better recent posts:

- Delimiters won’t save you from prompt injection - https://simonwillison.net/2023/May/11/delimiters-wont-save-y... - talks about why telling a model to follow delimiters like ``` won't protect against prompt injection, despite that being mentioned as a solution in a recent OpenAI training series

- Prompt injection explained, with video, slides, and a transcript - https://simonwillison.net/2023/May/2/prompt-injection-explai... - a 12 minute video from a recent LangChain webinar I participated in where I explain the problem and why none of the proposed solutions are effective (yet)

- The Dual LLM pattern for building AI assistants that can resist prompt injection - https://simonwillison.net/2023/Apr/25/dual-llm-pattern/ - my attempt at describing a way of building AI assistants that can safely perform privileged actions even in the absence of a 100% reliable defense against prompt injection

More of my writing about prompt injection:

- https://simonwillison.net/series/prompt-injection/

- https://simonwillison.net/tags/promptinjection/


I would not start with this model. Its impractically large.

Start here: https://www.vennify.ai/gpt-neo-made-easy/


I would recommend auditing Stanford courses in following order:

1. CS231n Machine Vision https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1T...

2. CS234 Reinforcement Learning https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4...

3. CS330 Meta Learning https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4...

Those will get you on track with general concepts about reasoning, AI engineering and concepts of learning itself

Language models for me a bit of headache because there're in different domain on intersection with linguistics and humanities but here's a good course

https://www.youtube.com/watch?v=rha64cQRLs8&list=PLoROMvodv4...

Those are all free and high-quality but require a lot of brain power


Push notifications are useful in browsers in all the same places they are useful in mobile apps. Note that browser push notifications also work on mobile, so you don't need to install an app to get real time alerts.

For example:

- Sites with chat can send you messages even if you don't have the tab open (or even browser in some cases)

- Online game e.g. board game or chess can push to you when it's your move.

- Home alerts, e.g. that your garage door has been opened

Sure there are a lot of spammy notifications, e.g. sales alerts, news items, etc. that most people probably don't want, but there are genuinely useful use cases.


What about the electricity cost for powering the card. Doesn’t that outweigh the e-waste part by a significant margin?

Just because a card can’t be used by gamers doesn’t mean the card must be tossed, there are plenty of non-gaming uses such as AI. You’ll probably see an aftermarket for both types of cards.

Also, like regular graphics cards, newer versions are highly prized so one might say that graphics cards as an industry is already all about e-waste. Unless you’d like to buy my Radeon 9800 or my GTX 1070? They’re still perfectly good for gaming… except everybody wants the new RTX ray tracing etc.


Whenever places wantba phone number for ad and/or discount stuff, use:

(Local area code) 867-5309

There's always an account, and it's a 100% gamble if this purchase you get something.


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