Singularity

I just finished the age of disclosure and something I found very interesting is the mention of the department of energy involved in UAP’s which is also spear heading the Genesis program focused on Ai Development. Could they be using frontier Ai labs to help understand UAP tech? I find this so interesting that this discussion is happening at the same time Ai is developing extremely fast. Then the administration launches the Genesis Program. Anyone who watched the documentary notice the same thing? submitted by /u/shadowt1tan [link] [comments]

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https://x.com/OpenAI/status/1993381101369458763?s=20 You can now use ChatGPT Voice right inside chat—no separate mode needed. You can talk, watch answers appear, review earlier messages, and see visuals like images or maps in real time. submitted by /u/Distinct-Question-16 [link] [comments]

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This post was inspired by the Dwarkesh podcast interview of Ilya Sutskever. There is an idea that I am surprised neither discussed. “I don’t know if LLMs will get us to AGI, but I’m confident they’ll get us to the next breakthrough required for AGI” – Sam Altman This quote is, in my opinion, the most succinct and insightful remark said by anyone in AI today. The point is to get to Recursive Self Improvement, that’s all that matters. We don’t need an AGI. In fact, all we need is an ANI! An artificial narrow intelligence. If that can get us to the breakthroughs required, that will get us to the singularity. Sholto Douglas, a researcher at Anthropic, was recently on the TBPN podcast where he said something interesting. He said something along the lines of, the major labs won’t release models that have ML expertise and capability. They’ll keep them for internal use. What this reminded me of was GPT-5.1 codex max. Isn’t it weird that such a narrow model was made? Isn’t it strange that they are making models that are only good for one thing if the goal is a general intelligence? But it isn’t strange if you could do the same just for the field of ML research. I guarantee you, all the major labs have codex max models internally that they are not releasing so their competitors don’t take advantage. If thousands of instances make even one improvement, you reinstantiate with the improvement and run again, and again, and again 24/7. OpenAI showed in their recent codex max that the model solved 8% or something of actual problems that delayed runs when tested on this situations. They won’t release, or acknowledge, a model which ever reached 50%. That would be too valuable for a competitor. To sum up, ANIs will lead to AGIs which will lead to ASIs which will lead to the singularity. submitted by /u/Valuable-Village1669 [link] [comments]

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Suno partners with WMG In 2026, Suno will make several changes to the platform, including launching new, more advanced and licensed models. When the new models launch in 2026, the current models will be deprecated. Seems like we get the worse of both worlds: licensed AI slop. Now labels can print money by letting you generate soulless Michael Jackson simulacra that they ultimately own/control and you get to pay for that privilege. I don’t care tbh. I did not use Suno or Udio, because I want more specialized tools that can integrate into a music production workflow. Hopefully open source devs and researchers make more cool stuff, while DAW and plugin developers have the balls to integrate it into their software for those music makers that are open to using AI. AI features like midi generation, sample generation, patch/preset generation and similar. Those are the tools that will really revolutionize music. I bet antis are gonna celebrate this, because they are too stupid to realize that the licensed AI slop is going to be worse (less experimental, more derivative), more expensive (you are not just paying for compute now, you are also paying for the license to the oligopoly of record labels) and pushed harder into the mainstream (because they have the means to do it, unlike small ai artists, labs and companies like Suno). That’s what the IP holding corpos wanted, they did not want AI to go away (like the antis wish), they wanted to control it and profit from it, even if it does not really make sense (training is highly transformative and generating music by AI should be no different than sampling or using photoshop, it’s ultimately the responsability of the user to use the tools without infringing copyright or commiting palgiarism). submitted by /u/bot_exe [link] [comments]

https://preview.redd.it/20y2u749ih3g1.png?width=1229&format=png&auto=webp&s=f91f3fac6b7848fbc39af1c0345409bd8050ec99 https://swe-rebench.com/ It’s a somewhat useful benchmark as it’s hard to benchmax as the problems are always novel. It’s also less mainstream so it’s not a target for the labs. submitted by /u/kaggleqrdl [link] [comments]

Which brings up into the third place. submitted by /u/Profanion [link] [comments]

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I just noticed that for ARC-AGI-2, the score Anthropic reported was for 64k thinking tokens, whereas Gemini 3 maxes out at 32k. When they are both limited to 32k, Opus actually performs slightly worse than Gemini. This is buried at the very end of their announcement “All evals were run with a 64K thinking budget”. This is a HUGE difference that nobody is talking about. submitted by /u/JoeMiyagi [link] [comments]

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With every release from every company, I always run the following prompt. I would say many models are almost perfect at faces/nature etc, but they all fail at the following prompt. You can instantly tell the result is AI as the images simply make no sense in many instances. Gemini’s Nano Banana Pro has really impressed me. I would say it’s maybe 75% of the way there? There are still obvious tells that it’s AI, but it has come a long way. Looking forward to the next iteration! Gemini 3.0 Results: https://imgur.com/a/7XJd7EI Examples of things in the image that still don’t make sense: water lines going into electrical boxes toilets with no cold water stub out waste lines that go nowhere or come from nowhere electrical wires turning into water lines etc Prompt: Generate a photo-realistic image of the interior of a typical new-build residential bathroom in North America, while it is under construction. The plumbing, electrical, and HVAC are all roughed in. Water lines are PEX, and waste is PVC. However the walls are not yet covered so you can see the studs and services. The view should show rough in for a tub, a vanity, and a toilet. The tub, vanity, and toilet are NOT installed. submitted by /u/vorxaw [link] [comments]

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https://x.com/artificialanlys/status/1993287030252749231?s=46 submitted by /u/Snoo26837 [link] [comments]

I love the new models, but nobody seems able to figure out the 6-finger emoji. Yet any 2- or 3-year-old kid gets it immediately just by thinking from first principles, like simply counting the fingers. When I have time, I’ll collect more of these funny examples and turn them into a full AGI test. If you find anything that is very easy for humans but difficult for bots, please send it over for the collection. I think tests like this are important for advancing AI. submitted by /u/smith2008 [link] [comments]

If that is true it is the next major leap in AI modality https://x.com/elonmusk/status/1993208505486979327?s=46&t=u9e_fKlEtN_9n1EbULsj2Q submitted by /u/vasilenko93 [link] [comments]

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Saw the Mario post where it took some liberties with the 3d render, and used more modern designs. So I decided to have it recreate these old Manga panels, to see if it preserves the vibe. submitted by /u/Waddafukk [link] [comments]

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