Tootfinder

Channeling rainwater wisely creates a thriving landscape, providing both cooling shade and food for the public.
Instead of sending it down concrete curb edges and into storm drains,
cuts in the curb move water toward native trees and plants.
As Millison says, this simple change is key to “turning depleted neighborhoods into thriving ecosystems.”

In 1998, a man illegally cut holes in a Tucson street curb. The result changed the law.
Brad Lancaster shares with permaculture expert Andrew Millison how illegal curb cutting to divert rainwater 30 years ago changed Tucson.

Bananer (och annat) kan påverka delar av din smoothie negativt
https://traningslara.se/bananer-och-annat-kan-paverka-delar-av-din-smoothie-negativt/

Bananer (och annat) kan påverka delar av din smoothie negativt
En intressant studie det här, Getting the most health benefits from fruit smoothies: Researchers find adding a banana decreases level of flavanols. Forskare jämförde upptaget av flavonoider från en smoothie beroende på om det fanns bananer eller inte med i den. Bananer, och en del annan frukt, innehåller ett ämne som ganska snabbt gör dem […]

NFL Training Camps Kick Off With 10 New Head Coaches And Unsettled QB Battles https://www.foxsports.com/stories/nfl/nfl-training-camps-kick-off-10-new-head-coaches-unsettled-qb-battles

Today's opus-length Metacurity is a must-read because it sums up a tremendous amount of AI news that cyber defenders should know, along with other critical infosec developments, including
--AI Watch: OpenAI details 'unprecedented cyber incident' behind Hugging Face breach,
--Frontier AI models routinely cheat on evaluations,
--Lightweight AI model for vulnerability hunting emerges,
--Google launches Gemini Flash Cyber for vulnerability detection and repair,…

AI Watch: OpenAI details 'unprecedented cyber incident' behind Hugging Face breach
Frontier AI models routinely cheat on evaluations, Lightweight AI model for vulnerability hunting emerges, Google launches Gemini Flash Cyber for vulnerability detection and repair, Malware hides inside normal AI coding activity, US weighs sanctions over alleged Chinese AI model theft, much more

IT WAS IN THE TRAINING DATA. Your test gave the machine a pile of correct answers and free license to plagiarize.
I remember people being wowed that Claude Code could implement a complete C compiler. But somehow it doesn’t sound quite as impressive when you phrase it as “given every existing C compiler as input, the LLM can produce a C compiler as output.”
2/

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

Final Raiders 53-Man Roster Projection Before Training Camp https://www.si.com/nfl/raiders/onsi/las-vegas-final-53-man-roster-projection-before-training-camp

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Le trafic est ralenti de Paris Austerlitz vers Juvisy.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : déclenchement du signal d'alarme Š bord d'un train VACK en gare d'Ablon (incident terminé).
🤖 21/07 19:35

Final Raiders 53-Man Roster Projection Before Training Camp https://www.si.com/nfl/raiders/onsi/las-vegas-final-53-man-roster-projection-before-training-camp