Tootfinder

Noch ein paar der zuletzt hier besonders häufig geteilten #News:
IT-Angriff betrifft IT der Beweisstückstelle der Polizei

The year starts with a new competition case re. public EV charging prices in Italy. The competition authority has decided to conduct a further investigation into A2A Mobility, as prices charged to others were higher than in their own app.
https://www.agcm.it/pubblicazioni/bolletti<…

#monsterdon "figure it out on the computer"
oh sure. chatgpt will have all of the answers

Einige der zuletzt hier besonders häufig geteilten #News:
IT-Angriff betrifft IT der Beweisstückstelle der Polizei
http…

I loved @jasonclark.bsky.social 's #FF2025 'problem statement':
'We were given access to a weirdly confident intern that can’t explain how they got their answers.
It is a seamless interface that breaks search interaction retrieval patterns.'

{ "jason": "clark" } (@jasonclark.bsky.social)
Slides and code from my #ff2025 talk, "Reasoning with Small Language Models (SLM) for Trustworthy Generative AI (GenAI)." Slides: https://docs.google.com/presentation/d/1NHCuyuPd9KK3QUo8izeta2CMIk-rmcy1/edit?usp=drive_link&ouid=103883366387427181221&rtpof=true&sd=true Code: https://github.com/jasonclark/agentic-search-react

Wenn Cybercrime zeigt, dass wirklich niemand verschont bleibt. 🫠 Ein Ransomware-Angriff auf die Werkstatt Bremen hat auch Auswirkungen auf die IT-Systeme der polizeilichen Beweisstückstelle.
Zum Artikel: https://heise.de/-11165825?wt_mc=sm.re

"Christopher Bishop’s 2006 book “Pattern Recognition and Machine Learning,” arguably one of the triggers of the current popularity of machine learning, is quite literally a book about applied mathematics, diving into probabilities, linear algebra, neural networks, Markov models, and combinatorics. And rightfully so; if your objective is to find a job as an engineer at OpenAI, knowing a thing or two about eigenvalues and eigenvectors is definitely going to be useful."

In Praise Of Mathematics
How much math knowledge does a programmer need to know to fulfill their job? How deep should the mathematical knowledge of full-stack engineers, computer security experts, or large language model engineers be? The spectrum of possible answers to these questions is too large to be useful. Perhaps the eternal answer "it depends" is enough?

So, I have an answer to my previous question about GPU transfer efficiency.
Original code: write data to staging buffer on CPU, vkCopyBuffer to GPU local memory, run int-float32 conversion on GPU out of that buffer. The copy operation shows 50% SM occupancy by compute warps, 50% unallocated warp slots in active SMs.
GPU memory write bandwidth is sitting around 2%, about 1.9 ms copy/shader run time.

🇺🇦 #NowPlaying on #KEXP's #Early
Confidence Man:
🎵 Angry Girl
#ConfidenceMan
https://confidenceman.bandcamp.com/track/angry-girl-chai-version
https://open.spotify.com/track/2PXULQ9Lo1AmU7eMnnBnxp

Voice authentication???
I would not trust the basic competence of any org doing that. Facial recognition is bad enough.
Part of this is that I’m whatever the voice equivalent is to face-blindness. I don’t believe that such a thing as a “voice print” can exist. I can tell the difference between Neil Young and Bob Dylan, but any more similar and I’m lost.