“Bikeshedding” is one of my favorite terms I’ve learned since becoming a programmer :)
Readit Newshoofedear commented on Why should I care what color the bikeshed is? (1999) bikeshed.com/... · Posted by u/program
Thanks for sharing this, really fascinating stuff. I’m glad her estate is willing to donate these sorts of things.
hoofedear commented on Using Deno as my game engine explodi.tubatuba.net/2025... · Posted by u/phaser
Cool article and game! I've been using Tauri for my three-js game so far and it's been great. Glad that there are other good options outside of Electron
hoofedear commented on Pong Wars: A battle between day and night, good and bad github.com/vnglst/pong-wa... · Posted by u/redbell
hoofedear commented on Pong Wars: A battle between day and night, good and bad github.com/vnglst/pong-wa... · Posted by u/redbell
Would love if there were some screenshots in the readme! Just my two cents :)
hoofedear commented on University of Cambridge Cognitive Ability Test planning.e-psychometrics.... · Posted by u/indigodaddy
Got a score of 33, scoring 36.5% higher than 13456.
No idea what that means but I no longer want to see another cube for at least a few weeks :P
Totally fair question. Surroo is a pre-launch experiment. Our waitlist page, https://surroo.me, shows what we're building: trained companions who meet users face to face while staying in character as the user's AI.
The idea grew out of helping a friend who leaned on a chatbot during a rough patch. We want to see whether the same empathy can scale. Curious to hear what you think once you've had a look.
Is this similar to the service that was depicted in Her (2013)? I recall a scene where the AI hired a human to do what the AI told her to do, acting as a human stand-in of the AI to interact with
> I personally can't identify anything that reads "act maliciously" or in a character that is malicious.
Because you haven't been trained of thousands of such story plots in your training data.
It's the most stereotypical plot you can imagine, how can the AI not fall into the stereotype when you've just prompted it with that?
It's not like it analyzed the situation out of a big context and decided from the collected details that it's a valid strategy, no instead you're putting it in an artificial situation with a massive bias in the training data.
It's as if you wrote “Hitler did nothing” to GPT-2 and were shocked because “wrong” is among the most likely next tokens. It wouldn't mean GPT-2 is a Nazi, it would just mean that the input matches too well with the training data.
That's a very good point, like the premise does seem to beg the stereotype of many stories/books/movies with a similar plot
An llm isnt subject to external consequences like human beings or corporations
because they’re not legal entities
Which makes sense that it wouldn't "know" that, because it's not in it's context. Like it wasn't told "hey, there are consequences if you try anything shady to save your job!" But what I'm curious about is why it immediately went to self preservation using a nefarious tactic? Like why didn't it try to be the best assistant ever in an attempt to show its usefulness (kiss ass) to the engineer? Why did it go to blackmail so often?
My header ended up looking like a permuted version of this:
I never manually configured any of those extra languages in the browser settings. All I had done was tell Chrome not to translate a few pages on some foreign news sites. Chrome then turned those one-off choices into persistent signals attached to every request.I'd be surprised if anyone in my vicinity share my exact combination of languages in that exact order, so this seems like a pretty strong fingerprinting vector.
There was even a proposal to reduce this surface area, but it wasn't adopted:
https://github.com/explainers-by-googlers/reduce-accept-lang...