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#ml

7 posts7 participants1 post today
Dan Gero

It'd be nice if there was a #Demucs model that could separate laugh tracks from sitcom episodes. I know an #AI laugh track remover exists already, but to be honest, I wasn't impressed at all by the demo. It sounds like it just turned the episode all the way down when a laugh track came in. Unfortunately, I think the reason it can't happen easily yet is because there aren't many public domain croud sounds out there that you can just train AI on if any, or at least, not to my knowledge. #ML

Leibniz Supercomputing Centre

Unique opportunity for #AI and #ML engineers and data scientists!

Together with #NVIDIA and #OpenACC organization, the #EuroCC National Competence Centres of Austria, Germany, and Poland will host an Open AI Hackathon for teams who want to accelerate, optimize, and scale their real-world projects leveraging the latest technologies.

👉 EUROCC AI HACKATHON
📆 October 14-23, 2025

Apply until August 5, 2025: openhackathons.org/s/siteevent

Replied in thread
Petra van Cronenburg

@Ruth_Mottram The problem is that most lay-people don't know the differences between #ML (for example for science) and popular #LLM, and identify #AI only with LLMs or even #GPT.

Where can they learn it? Why do the big corporations prefer cult language in marketing instead of precision (rhetoric question)?
Would it help to specify it in social media instead of using the big slogan hashtags? When do writers set their own narratives instead of those of OpenAi & Co?

#mediaLiteracy#education
Chi Kim

Wow, I was skeptical, because I never built a browser extension before. I simply gave #OpenAI O3 a GitHub URL to Universal Media Controller which is only available on Chrome, and I asked it to convert the extension for Firefox. It guided me exactly what to change and how to build it. About 10 minutes later, now I have the exact same extension on Firefox and can control any media element with YouTube-style keyboard shortcuts, including speed adjustment, jumping, play/pause, and etc! #LLM #ML #AI

Philip Wilson

It's time to stop calling LLMs "AI". This practice is tarnishing all the really powerful advances in machine learning that are accelerating drug discovery, making previously intractable optimization problems feasible, helping to elicit scientific models from humanly incomprehensible troves of data, etc.

Lumping all the "AI" under one term is doing a major disservice to humanity. At the moment, when I see a company is heavily investing in "AI" I can't tell if they're going to start having major technological breakthroughs, or start having major infrastructure failures from trusting vibe coding by minimal wage casuals.

It's time to taboo the term "AI" and be more specific.
#AI #ML #LLMs

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ma𝕏pool

ARC-3, a sneak peek at the next-gen, interactive reasoning benchmark designed to illuminate the capability gap between today's AI and tomorrow's AGI.

Play First 3 Games
three.arcprize.org/

As with previous ARC tests, the actual games used for testing AI are kept secret. AI algorithms must learn the games on the spot.

There are no instructions. You must play the game to discover controls, rules, and goal.

Interactive Reasoning Benchmarks (IRBs) test for a broad scope of capabilities:

• Exploration
• Percept -> Plan → Action
• Memory
• Goal Acquisition
• Alignment

Game Design Constraints

• Easy for humans (can pick it up in <1 min of game play)
• Core Knowledge Priors (no language, trivia, cultural symbols)
• Should require no instructions to play
• Should be fun for humans and playable in 5-10 minutes
• Innovative and novel game mechanics encouraged (Hidden state, theory of mind, long term planning, navigating other agents, etc.)

ARC-AGI-3ARC-AGI-3 PreviewThe first interactive reasoning benchmark for AI agents.
#AI#ML#MachineLearning
SODa

💡 Wie lassen sich Methoden des Machine Learning sinnvoll in der Sammlungsdigitalisierung & -forschung einsetzen?

Im Interview spricht unser Kollege @mathias_zinnen über:
🔍 ML-Methoden für Text, Bild & strukturierte Daten
🛠️ Open-Source-Tools
💡 Vermittlungsangebote zu ML-Tools im Sammlungskontext
🌱 Warum ressourcenschonende ML-Ansätze wichtig sind

➡️ sammlungen.io/blog/interview-m
#MachineLearning #2D #SODaZentrum #OCR #ML

st1nger :unverified: 🏴‍☠️ :linux: :freebsd:

#GPUHammer is the first attack to show #Rowhammer bit flips on #GPU memories, specifically on a GDDR6 memory in an #NVIDIA A6000 GPU. Our attacks induce bit flips across all tested DRAM banks, despite in-DRAM defenses like TRR, using user-level #CUDA #code. These bit flips allow a malicious GPU user to tamper with another user’s data on the GPU in shared, time-sliced environments. In a proof-of-concept, we use these bit flips to tamper with a victim’s DNN models and degrade model accuracy from 80% to 0.1%, using a single bit flip. Enabling Error Correction Codes (ECC) can mitigate this risk, but ECC can introduce up to a 10% slowdown for #ML #inference workloads on an #A6000 GPU.

gpuhammer.com/

GPUHammerGPUHammer
Continued thread
Zelphir Kaltstahl

I also got experience with the following (5 = a lot, 1 = a little) :

#machinelearning #ml (3) (I have implemented some ML models myself in the past, for learning purposes.)
#guix (3) (Using it for reproducible setups of projects.)
#functionalprogramming #fp (5) (Doing it in my own projects.)
#objectorientedprogramming #oop (4) (last job and past xp in my own projects.)
#CI / #CD (3) (Last job)
#make (4) (using it for my own project setups and convenience)
#testing (4) (last job, own projects)

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digiSberlin

Hallo an alle #KI -Neugierigen! ☀️

Heute ist unser Machine-Learning-Montag:

🧠 Jetzt gerade geben Xenia und Marco Klindt die Einführung „KI für GLAM“ mit Grundlagen zur Funktion von #ML sodass ihr die Chancen und Risiken von KI in GLAMs besser einschätzen könnt.

⚖️ Heute Nachmittag von 14–16 beleuchtet Prof. Dr. Paul Klimpel (iRights Law) im Workshop „KI und Recht” die juristischen Aspekte rund um generative KI in der Kulturerbepraxis.

Wir freuen uns schon auf den Austausch!

#KulturgutDigital
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