Tootfinder

So, I'm still experimenting with locally run LLMs (powered by solar cells!) for writing some inconsequential data mangling stuff for my "vintage cameras" hobby; it's quite interesting how the development cycle with these LLMs sort of drives home that LLMs are completely useless for almost anything they're advertised for, like writing (for humans).
The thing is: coding is the use case that LLMs are by far most suitable for and they still largely suck at it.
There's immense amounts of training data of correctly functioning code, there's tons of documentation, a lot of code is in repositories that include the full history of its development including why stuff was changed in small bits, code itself is the simplest of "human" languages and mathematically non-ambiguous, code can be checked in small bits for correctness by just running it, in many languages simple code snippets can be written to introspect on the code (e.g. find out what methods an object supports, so an LLM can query the language or libraries themselves in addition to the user) and perhaps most importantly: code is always and has always been very similar to other, existing code as most software serves the ever same repetitive use cases, both in detail and on a high level.
YET… using LLMs to code requires countless iterations to get there, both internally in the LLM (to get the code even running in the first place) and together with the user to make it do the right thing. And even when it's "there" the code is mediocre at best, and often veering into appalling.
And this is expected to just work on the first try on much more complex issues like writing for humans? Transcribing doctors? Having legal opinions? Identifying fraud? lol, sure

Nvidia researchers unveil ENPIRE, an agent harness framework that develops robotic self-improvement strategies for physical tasks with minimal human supervision (Jeremy Hsu/Ars Technica)
https://arstechnica.com/ai/2026/06/ai-coding-agents-can-auton…

AI coding agents taught robots how to install GPUs and cut zip-ties
NVIDIA’s self-improvement program for robots enlists teams of AI coding agents.

West Oakland,
a California neighborhood known for its rich history of Black activism
from the Pullman Porters’ union to the Black Panthers,
might not seem like the site of the country’s next great coal project.
But that’s exactly what the Trump administration is pushing for
– with the injection of $75m to build a sprawling coal export terminal in the nearby port of Oakland.
Last week, Donald Trump announced he was using wartime powers to hand $700m to coal…

Le trafic est ralenti de Juvisy vers Champ de Mars.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : Chute d’un voyageur en gare de Savigny sur Orge (incident terminé).
🤖 18/05 08:12

And there you have it, the old "Tutor" planes of the Snowbirds will be officially retired after this flying season.
The squadron will be replaced by 2030 according to Minister McGuinty with the CT-157 Siskin II.
It is a turbo-prob plane now moving into place as the RCAF's primary training aircraft.
It is a Swiss-made Pilatus PC-21 aircraft. Last week, the first CT-157 achieved "factory acceptance”, so the timing is no coincidence I'm sure. Looks like these will be the new snowbirds in 2030.
Full CT-157 Siskin II info here:
#CanPoli #CdnPoli #RCAF #Snowbirds

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AI is reshaping entry-level professional services jobs, as companies redesign hiring, training, and workplace culture rather than simply cut junior roles (Andrew Hill/Financial Times)

Le trafic est ralenti de Brétigny vers Champ de Mars.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : Chute d’un voyageur en gare de Savigny sur Orge (incident terminé)
🤖 18/05 08:15

Le trafic est ralenti de Bibliothèque François Mitterrand vers St-Quentin en Yvelines et Versailles Château.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : Chute d’un voyageur en gare de Savigny sur Orge (incident terminé)
🤖 18/05 08:55

Kimi-K3 is now #1 on the Frontend Code Arena benchmark, surpassing Claude Fable 5; the model scored 88.3 on Terminal Bench 2.1, only below GPT-5.6 Sol's 88.8 (Michael Nuñez/VentureBeat)
https://venturebeat.com/ai/chinas-moon