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共 41973 篇Dashlane issues opaque advisory warning 20 encrypted vaults were stolen
Security advisory leaves out key details. Dashlane maintains complete silence.
First paper acceptance (ICML Workshop), should I attend? [D]
I just finished my first year of undergrad, and I got my first first-author paper accepted to an ICML workshop! Super stoked, especially since I was lowk a crashout in high school I wanted to know if it is worth it for me to go? It's quite expensive, and I will be the only one in my lab in attendance, so I will be on my own. If I do attend, how would I best maximize this opportunity? I got an email saying main conference tickets would also be made available for accepted authors, so I would likely be able to attend that as well. What are the best ways to network, meet people, and make sure it's worth it? Also, I am applying for transfer for this next cycle, so any advice relevant to that is also appreciated. submitted by /u/YukiOnnaLake [link] [留言]
NeurIPS Reciprocal Reviewers be careful in reviewing with LLMs [D]
As the title says. I am not a reciprocal reviewer but I just noticed a clever prompt injection like they did in ICML for our submission. submitted by /u/Massive-Bobcat-5363 [link] [留言]
Google just dropped Gemma 4 12B on your laptop!!
bro google just casually released a 12 billion parameter multimodal model that runs on 16gb of ram like… your macbook pro can run this. no cloud. no api calls. no monthly bill. it’s encoder-free, handles images and text, apache 2.0 license so you can do whatever with it commercially the “cloud is the only way” narrative is dying fast. on-device AI is not a gimmick anymore, it’s where the serious money is going submitted by /u/NewMuffin3926 [link] [留言]
Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal
If Alphabet's record-breaking $85 billion stock sale signals investor appetite for AI-related offerings, we can see that investors are ready to chow.
I think this might be one of the best use cases for AI music
Dunno if it’s the best overall, but it’s definitely been one of the most meaningful ones for me. I’ve been using MiniMax Music 2.6 quite a bit lately, even though it’s rate limited. For me it’s been nice for quickly testing song ideas, generating short melodies, and retrying different versions when I want a slightly different feel. I was recently using Genspark to make a PPT, and kind of accidentally discovered that it could also generate music. That led me to try something a lot more meaningful than just making random tracks: I asked it to create three short melodies for my kid, each one reflecting a different country or ethnic musical style.It turned the lesson from something abstract into something they could actually hear and compare. That’s what made it feel special to me,not just “AI can make music,” but “AI can make learning more vivid.” submitted by /u/ResultOk1259 [link] [留言]
Meta mercifully spun out VR fitness game Supernatural instead of just killing it
Meta appears to have listened to the Supernatural users who protested the app's sad fate after sweeping layoffs.
Is it possible to send a message in Morse code by un-following someone on x.com?
Do you think that’s possible? I’m really curious about this. Has anyone ever received a message like that? Come on, science must be able to figure this out
How are production ML systems typically handling distribution shift over time? [D]
In deployed ML systems, data distribution drift seems unavoidable over longer time horizons. I’m trying to understand what approaches are commonly used in practice: Continuous retraining pipelines (fixed intervals vs trigger-based) Online monitoring for feature or prediction drift Use of shadow models or fallback models in production Human-in-the-loop review for edge cases In most real deployments I’ve seen discussed, retraining strategy seems more operationally constrained than model-related. Curious what approaches are actually working reliably in production environments and what tends to fail first. submitted by /u/Electrical_Mine1912 [link] [留言]
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Lego Batman: Legacy of the Dark Knight is headed to the Switch 2 on September 18
Lego Batman: Legacy of the Dark Knight hits the Switch 2 along with new DLC for all platforms in September.
Substack’s new ‘Reply Rules’ feature lets creators control how people respond
Substack's new Reply Rules feature is currently available for all English-language publications and is designed to give creators greater control over how their audiences respond.
Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon
Dreambeans is a curated list of AI-illustrated "stories" culled from the personal data in your Google account.
A British MP is suing to see if xAI is legally responsible for the images Grok produces
xAI is under investigation in the EU, UK and California because of its freewheeling AI image generator.