@bmwhocking
Account based inNew Zealand
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Happiest Outdoors, Whitewater, Climbing, Gliding • Occasionally political, dislike accepting inequality as part of life • he/him
New Zealand
Joined February 2010
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#Laniakea our home #supercluster.
Alwayse good to know the name of the place you live #space #astronomy #science youtu.be/rENyyRwxpHo
Another clue.
List seats are allocated by the Saints-Laguë iterative formula.
Not by adding % together.
SL is an updated version of the Jefferson / D’Hondt method (yes that Jefferson).
D’hondt favours larger parties & works better with 2 parties.
SL is basically size neutral.
The whole playing games with MMP thing demonstrates why several generations of kiwis are terrible at maths.
If you want a national govt, party vote national.
If you want a Labour govt; party vote labours
Greens govt, party vote green.
I really hope we don’t do this in NZ.
So many reasons a home may be empty.
If any govt wants more affordable housing, build more state houses.
Lots of vacant land lots they can purchase and build.
That will drive down rent.
Policy’s like this add uncertainty, not solutions.
Currently debugging an issue in a C code base. Really makes me appreciate Rust’s syntax & the Rust compiler.
Even with AI assistance this cleanup job is painful.
The further I go; the more memory leaks & hastily built functions I find.
Sadly can’t rewrite the project to rust.
These fake news articles, generated by AI & paid to boost are dangerous.
Can easily see how someone could think it was an actual news article about an actual event.
This quoted post is unavailable.
KDE bringing out a fight club policy is fantastic.
The first rule of LLM usage is you don’t talk about LLM usage.
KDE is working on an official AI / LLM policy, and it reads like the rules of Fight Club.
In short, KDE’s AI policy:
1) Encourages using AI, as long as a human is kept “in the loop”.
2) But you can’t tell anyone that you used AI.
“Don’t disclose LLM usage”.
“Don’t add ‘Assisted-by: [some LLM]” (as is done in the Linux kernel).
“Nobody in KDE should know if you use an LLM”.
In other words: “Welcome to developing KDE with AI. The first rule of developing KDE with AI is: you do not talk about developing KDE with AI.”
invent.kde.org/plasma/plasma…
Anyone want to place bets on this being the only oil shock in the next 5 years?
The only way out of this is the electrification of NZ’s economy.
Very honest appraisal of America atm.
Shame America still has a sexism problem.
Iran says the Strait of Hormuz won’t open until Donald Trump & Benjamin Netanyahu leave power….
Feel most of Americans will find these terms acceptable.
Reasonable chance this energy crises turns into a financial crisis, especially if the US restricts diesel exports.
Ironically the saving grace for markets may be the AI bubble popping & releasing capital.
The US is considering halting diesel exports.
The US is the world's largest diesel exporter... Russia, the 2nd largest, has already halted exports.
A US export ban would send global diesel prices even higher and force countries like Japan to dump USTs to fund their domestic needs.
In other words, imposing an export ban on diesel would blow up the UST market.
There are no easy solutions anymore.
We don't own enough hard assets for what's coming.
Hello, I’m the CEO of a AI lab that isn’t profitable & is burning investor capital at a significant rate.
Token for token I can’t compete against open source models.
So let’s try use over regulation to kill my competition & save my company’s business model.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
This vindicates my choice not use Open AI for work or personal projects.
It seems Open AI almost certainly used Levent Alpöge and Tristan Buckmaster's Codex Inference data in their model training.
If you steal years of others work, not hard to quickly get the same result.
The full statement from Tristan Buckmaster.
cims.nyu.edu/~tristanb/state…