Tootfinder

Rebuilding public trust in AI requires meaningful citizen engagement, transparent governance, and robust legislation. Technology itself is not the problem. The issue is that few people trust institutions to deploy it wisely and for their benefit. This makes the first step to answer the following question: What’s it in for me?

Breaking the doom loop: How to rebuild trust in AI
Rebuilding public trust in AI requires meaningful citizen engagement, transparent governance, and robust legislation. By involving communities and prioritising effective oversight, institutions can break the ...

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.

The Computer Science Fetish https://mail.cyberneticforests.com/the-computer-science-fetish/

The Computer Science Fetish
On the Valorization of Technical Authority 💡Nerd Alert: 1/5. Readable, but also mostly venting about weird encounters at a conference in San Francisco. The academic AI critic is often either bored or angry. Bored because everyone keeps saying the same things, or angry because all the same things need

🇺🇦 #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

Training data generation for context-dependent rubric-based short answer grading
Pavel \v{S}indel\'a\v{r}, D\'avid Slivka, Christopher Bouma, Filip Pr\'a\v{s}il, Ond\v{r}ej Bojar
https://arxiv.org/abs/2603.28537 https://arxiv.org/pdf/2603.28537 https://arxiv.org/html/2603.28537
arXiv:2603.28537v1 Announce Type: new
Abstract: Every 4 years, the PISA test is administered by the OECD to test the knowledge of teenage students worldwide and allow for comparisons of educational systems. However, having to avoid language differences and annotator bias makes the grading of student answers challenging. For these reasons, it would be interesting to compare methods of automatic student answer grading. To train some of these methods, which require machine learning, or to compute parameters or select hyperparameters for those that do not, a large amount of domain-specific data is needed. In this work, we explore a small number of methods for creating a large-scale training dataset using only a relatively small confidential dataset as a reference, leveraging a set of very simple derived text formats to preserve confidentiality. Using these methods, we successfully created three surrogate datasets that are, at the very least, superficially more similar to the reference dataset than purely the result of prompt-based generation. Early experiments suggest one of these approaches might also lead to improved model training.
toXiv_bot_toot

I plan to bow out of NYT #Wordle after tomorrow. I’ll miss the friendly competition with the #OldGal & #YoungPups. Their announcement that they’ll start reusing previous answers as of Monday Feb, 2 was enough t…

Meine Motorik ist so im Eimer, oder auch: Hört mich, wie ich meinen Computer anschreie "Höre ich mal auf, mich zu verradieren?!"

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

Should I Switch From #Git to #Jujutsu
https://etodd.io/2025/10/02/should-i-switch-from-gi…

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