Singularity

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That’s what I’m trying to find out! I am conducting a very short (only 3 questions!!) anonymous survey on political views + views on generative AI. I will analyze + visualize the results to see if there is any correlation between political views, views on generative AI, and AI usage. I would love input from anyone, regardless of your views. The data I am collecting is for a university project and will be used for educational purposes only. I am happy to share my final report if anyone is curious. https://forms.gle/5oxhZL8o857Wx4hR8 EDIT: If you are concerned about privacy, feel free to complete this form via an incognito browser. Google account not required & I don’t see your email on the data side regardless. submitted by /u/Fit_Location580 [link] [comments]

I am positively surprised. His proposed solutions (Which I’ll summarize at the bottom here) go beyond what the first minutes of the video might lead you to think. He also states it is realistic that AI will replace 100M American jobs in the next 10 years. He first rambles off a whole list of AI replacing workers and concentrating power to the wealthy, which really made me think “Wow so he’s a luddite”, but then he whips out “I’m not a luddite”. He knows our lingo huh His concrete proposals: Move to a 32-hour work week with no loss in pay. AI and robotics will greatly increase per-worker productivity. Workers must benefit from that increased output through a shorter workweek with no loss of pay. Require large corporations to elect at least 45% of the members of the boards of directors, similar to what already takes place in Germany. Workers need a seat at the table to best determine how AI is used at their companies. Greatly increase profit sharing at our nation’s largest corporations. Workers should receive at least 20% in stock at the companies they work for. We need to substantially expand the concept of employee ownership. When workers own their own businesses, and are more involved in the decision making processes, they will make decisions that benefit everyone in the company, not just the people on top. Instead of providing billions of dollars in tax breaks to companies that are replacing workers with new technologies, we should enact a robot tax on large corporations, and use that revenue to improve the lives of workers who have been harmed in this transition. Imo, this can be an adequate reaction to the initial transitional phase of AI in the coming several years. We will need extra action after the initial phases, though. And I can’t shake the feeling that Bernie having said this now subconsciously plants the seed in the mind of the current administration that these measures should be avoided. submitted by /u/Kaarssteun [link] [comments]

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Hank Green (whose videos I generally like — have been a subscriber for years) just uploaded a video titled “Give me a single reason why Sora2 should exist” where he basically spends 3 minutes venting about how AI is harmful and shouldn’t exist at all Naturally, the video is blowing up… 70K views in 3 hours, 12K likes, and the comment section is full of people agreeing with him. The anti-AI crowd is treating it like it’s their Holy Grail lol. And I’m pretty sure the outrage is based entirely on an outdated fact since Sora 2 already put up all kinds of restrictions and you can no longer make the kinds of videos he’s mad about What do you think? Personally I’m kinda getting tired of these “AI bad” takes from influencers that clearly fail to see the bigger picture submitted by /u/Zodiatron [link] [comments]

I know nothing about animation or video editing but the fact that I could string together this in such a little amount of time is crazy to me… submitted by /u/Funkahontas [link] [comments]

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I think we rely a lot on low-paid workers to keep things like housing, food, and basic goods affordable. Without that workforce, prices shoot up. With all the new rules, deportations, and labor restrictions, it’s become way harder to build cheap houses or offer affordable services. That’s one of reasons the housing market is such a mess. Everyone wants to live in the same few cities, not enough new homes are being built, and big corporations keep prices high just to make more profit. But in the future, AI, real AI, not the machine learning stuff we have now, could change everything. Imagine robots with the skill, speed, and precision of top professionals, but working 24/7 and never getting tired. They could build houses, grow food, and handle all the “basic” things for almost no cost. Life could get incredibly easy and affordable, almost like living in a futuristic paradise. Still, that change won’t be smooth. A lot of people live paycheck to paycheck, and if we switch too fast to robots without universal basic income (UBI), millions could struggle during the transition. It could cause real pain before things settle down. When I think about how our grandparents lived, it’s crazy how different things are. Back then, getting basic goods was expensive and slow. Now we can order anything from our phone and have it show up in minutes, and we have endless information right at our fingertips. I’m honestly glad to live in this time, but I can’t help worrying about what comes next. The move to a world run by AGI could be amazing. submitted by /u/four_clover_leaves [link] [comments]

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https://arxiv.org/pdf/2510.04871 submitted by /u/gbomb13 [link] [comments]

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HRM (Hierarchical Reasoning Model) dropped on arXiv in June. Yesterday, TRM (Tiny Recursive Model) was posted, an improvement by an unrelated researcher at Samsung SAIL Montréal, and the results are pretty surprising. Model Params ARC-1 ARC-2 HRM 27M 40.3 5.0 TRM-Att 7M 44.6 7.8 HRM post here from three months ago Blog post by Sapient Intelligence (lab behind HRM) ARC Prize blog post on hidden drivers of HRM’s performance on ARC-AGI HRM is a 27M parameter model. TRM is 7M. HRM did well enough on the Semi-Private ARC-AGI-1 & 2 (32%, 2%) that it was clearly not just overfitting on the Public Eval data. If a 7M model can do even better through recursive latent reasoning, things could get interesting. Author of the TRM paper, Alexia Jolicoeur-Martineu, says: In this new paper, I propose Tiny Recursion Model (TRM), a recursive reasoning model that achieves amazing scores of 45% on ARC-AGI-1 and 8% on ARC-AGI-2 with a tiny 7M parameters neural network. The idea that one must rely on massive foundational models trained for millions of dollars by some big corporation in order to achieve success on hard tasks is a trap. Currently, there is too much focus on exploiting LLMs rather than devising and expanding new lines of direction. With recursive reasoning, it turns out that “less is more”: you don’t always need to crank up model size in order for a model to reason and solve hard problems. A tiny model pretrained from scratch, recursing on itself and updating its answers over time, can achieve a lot without breaking the bank. This work came to be after I learned about the recent innovative Hierarchical Reasoning Model (HRM). I was amazed that an approach using small models could do so well on hard tasks like the ARC-AGI competition (reaching 40% accuracy when normally only Large Language Models could compete). But I kept thinking that it is too complicated, relying too much on biological arguments about the human brain, and that this recursive reasoning process could be greatly simplified and improved. Tiny Recursion Model (TRM) simplifies recursive reasoning to its core essence, which ultimately has nothing to do with the human brain, does not require any mathematical (fixed-point) theorem, nor any hierarchy. Apparently, training this model cost less than $500. Two days of 4 H100s going brrr, that’s it. Twitter thread by author. submitted by /u/Hemingbird [link] [comments]

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Sorry, this is full paywalled (even the abstract). But good synthesis of where we are: https://www.nature.com/articles/s41567-025-03042-0 “Over the next decade, AI integration will transform mathematical practice, moving formalization from a niche activity to a core component, possibly impacting peer review. AI research assistants will become widespread, increasing productivity as they manage routine proofs and literature reviews. Precise machine checks will uncover errors, leading to corrections or retractions that strengthen the field, and as they handle routine tasks, human creativity and insight will become more valuable, raising the standards for what is considered impressive mathematics. In ten years, or perhaps sooner, we expect all mathematicians to be connected through a shared mathematics repository, where they can submit and test ideas such as new conjectures, proof sketches and incomplete insights in real-time. This development could significantly boost collaboration and quality control. The ability to test proofs in this way would also find applications in areas of theoretical physics that can be quite distant from current experimental reality, for example quantum gravity and quantum information. Another example is black hole physics where extremely long proofs have a verifiability problem that could be overcome with the help of AI proof assistants borrowed from mathematics8,9.” submitted by /u/AngleAccomplished865 [link] [comments]

https://youtube.com/shorts/vI6GhzDi0iY?si=GvRx4j5tWCVpRGZe submitted by /u/Distinct-Question-16 [link] [comments]

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The best announcement from today in my in my opinion. submitted by /u/Setsuiii [link] [comments]