On thirty two thoughts, I think they mentioned 4.6 above expected. SMH.
23.02.2026 11:20
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On thirty two thoughts, I think they mentioned 4.6 above expected. SMH.
And when the submitter itself is a bot? www.theregister.com/2026/02/12/a...
Maybe a valid comparison if the AI folks published similar numbers
> The report uses the Sustainability Accounting Standards Board (SASB) framework as a benchmark. The energy consumption figures cover the indirect and direct consumption of energy by Netflix in the delivery of its content.
Since when do we need just one statistic to properly analyze something? Give us median, give us average, give us p75 and p99 and p100.
Source?
Why rei?
Haha yeah we were looking for family holiday movies, I noped out of that list pretty quick.
But temperature is a thing for a reason.. some level of non-determinism makes them MORE useful in a lot of cases. So perhaps we can trade determinism for being less useful.. is that still providing the business value though?
The answer as always is probably.. it depends. 😶🌫️
Aren’t there also cases like temperature support being removed from (at least some GPT-5 models)?
To be fair Reimer was the only reason there was even a game 7 in that series. Probably should’ve been over in 5.
Cool, wasn’t sure if you might be trying bazzite.gg - lotta people seem to like it for gaming
What distro are you running?
Wtf only 6 hockey teams? 😆
remember when AI couldn’t count the number of Rs in “strawberry”? that was eight months ago
Wow.. bsky.app/profile/kjhe...
Anthony Stolarz vs Ridly Greig
The problem with most machine-based random number generators is that they’re not TRULY random, so if you need genuine randomness it is sometimes necessary to link your code to an external random process like a physical noise source or the current rate of US tariffs on a given country.
Do you have the source on this?
Convex also now members of the Open Source Pledge @opensourcepledge.com, committing to financially support development of open software we all benefit from.
Our initial contribution was towards @tanstack.com! Really glad to be supporting @tannerlinsley.com and crew.
news.convex.dev/open-source-...
New post up: byk.im/posts/fossil...
I've been working on this tool for a while now and very excited to share it with the world!
It also follows immediately after the next biggest hype wave (crypto / web3) and seems like a bunch of hucksters just jumped from one to the other.
ACAB
Google getting all political up in here. ✊
I’ve seen Matthews score goals in almost every way I thought possible. Pretty sure this is the first diving poke check of a goal!
If I’m remembering you and John had some pretty hard stances on preventing training of LLMs on your content, even if that cat seems to be out of the bag already. The code that those LLMs were trained on was also mostly not published for that use (SO responses, open source repos on Github, etc. )
Honest question: is there any cognitive dissonance with your view of LLMs used for writing and your use of LLMs for generating code?
You even mention that when copy/pasting code you would credit the person on stack overflow (or whatever) but the LLMs are basically trained on the same data…
github.com/magodo/pipef...
Slick looking terraform apply TUI I just came across!
