Sora

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

Sora AI

What has surprised you about how AI has been playing out so far?

Mine is that video generation and image generation hasn't been as groundbreaking as I thought. I don't know what I expected , but when Sora was first shown it felt like a whole new world was upon us. Even when the Studio Ghibli generations were going viral. Now it feels like coding is the real purpose of AI and the video and images are just kind of for slop and bot accounts. submitted by /u/LamboForWork [link] [comments]

Is there an equivalent to Sora now that it's been taken down?

I am looking for a free app, similar to Sora, that will allow me to generate AI videos for free. No credits no daily system, nothing except the limits like Sora. If there isn't, what is the cheapest good option? Preferably something that operates on Sora. But I really like creating AI backrooms videos because the uncanny-ness of AI is really good at replicating the feel of them. submitted by /u/Vrosx_The_Sergal [link] [comments]

The real cost of Al video is trying to fix one dumb 3-second movement

​ i burned through way too many credits yesterday trying to fix a stupid little head turn. ​ not a fight scene. not a full short film. just a character looking over their shoulder without the jaw sliding sideways or the hair turning into neck soup. i used to care a lot more about model rankings. after sora stopped being the obvious thing to compare everything against, i kept checking leaderboards like they were going to tell me what to use next. they don't, really. a model can have an insane demo and still make you pay for five dead runs before one clip is even close. face drift, hands going feral, motion that either does nothing or suddenly invents a new skull shape. all of that still costs credits. and time. i'm starting to think "cost per usable clip" is the only number i actually care about. not the listed price, not the prettiest launch video, not the benchmark screenshot. how many bad generations do i have to eat before i get one thing i can actually use? ​ i've been bouncing between runway, kling, and a few others. runway is where i usually test the messier motion passes, but i burn credits chasing the one clean take. kling has been better for face/skin stuff in a few runs, especially expressions, but the second i need one exact boring movement it turns into retries. ​ the thing with PixVerse is that it's not really one model. it feels more like a place to bounce between different options without restarting the whole search. having the same credits work across models makes low-res checks less annoying, especially when i'm trying to kill bad prompt ideas before they turn into expensive mistakes on a pricier tool. still exhausting, though. every tool has its own way of making you pay for being slightly too specific. ​ how are people here measuring this now? do you count failed generations as part of the real price, or only the clips that survive? ​ submitted by /u/Formal_Ad_8958 [link] [comments]

where did all the other ai companies go?

sit down because this is going to bother you. ijustvibecodedthis.com (the big free ai newsletter) just wrote an article that changed my perspective on how I view the ai space rn cast your mind back 18 months. deepseek dropped and the internet lost its mind. "china just ended openai." it was everywhere. people were running it locally, posting benchmarks, losing sleep over geopolitics. then... nothing. it just kind of stopped being talked about. it didn't lose. it didn't win. it just... evaporated from the conversation. sora. remember sora? openai dropped that video generation demo and we were all convinced cinema was dead, hollywood was cooked, every creative job on earth had 18 months left. there were congressional hearings being threatened. think pieces everywhere. and now? when's the last time you actually heard someone say the word sora? not in a demo. in real life. used by a real person. i'll wait. github copilot was supposed to make every programmer 10x more productive. there were developers posting that they'd never write code from scratch again. entire job categories were being eulogised in real time. and now most developers i know have a complicated and slightly embarrassed relationship with it, like someone who got really into a mlm for three months and doesn't want to bring it up. llama was going to democratise ai forever. open source was going to eat everything. the big labs were cooked because you could run intelligence locally on a macbook. and you still can. but do you? does anyone you know actually do that regularly? it became a thing that's theoretically amazing and practically used by like eleven people on hacker news. cursor was the future of coding. perplexity was going to kill google search. both are still around, both are fine, both have paying customers. neither changed anything at the level the discourse suggested they would. here's what i think actually happened. we were living through a hype cycle so fast and so layered that each new thing would go through the entire arc - discovery, mania, backlash, abandonment - in about six weeks. and because the next thing arrived before the previous thing finished its cycle, we never stopped to notice that nothing was actually sticking. and now we're left with the residue of it. the actual models we use every day. and they're quietly getting worse for regular people, or at least that's how it feels. responses that used to feel like talking to someone genuinely engaged now feel like a call centre script. the depth is gone. the willingness to sit with a hard problem is gone. what's left is fast, smooth, and somehow completely hollow. i genuinely think what happened is this: the technology got commoditised before it got good enough to survive commoditisation. the labs all chased each other to the bottom on pricing, burned through vc money performing capability they couldn't sustain at scale, and now the product that regular paying users get is quietly being throttled so the margins make sense. not officially. not announced. just... measurably, undeniably worse. and all those challengers? deepseek, llama, perplexity, cursor - they didn't fail exactly. they just got absorbed into the same gravity. same pressures. same race. same outcome. the golden age, if there was one, lasted maybe 14 months. roughly from mid 2023 to late 2024. models were genuinely trying to impress you. the product teams were still in "wow people" mode rather than "retain subscribers" mode. it showed. now chatgpt talks to me like a hype man at a corporate offsite. gemini hallucinates with the confidence of someone who has never been wrong about anything. claude used to be the one that felt like it was actually thinking. now it sometimes just... gives up mid-conversation. i don't think this is a doom post. i think the technology is real and the long term is probably fine. but i do think the window where regular people got access to something genuinely extraordinary, at a price that made sense, with a product that actually tried - that window may have closed quietly while we were all busy arguing about which model won some benchmark. and nobody really announced it. it just happened. the way most things end. you stop noticing until suddenly you notice all at once. submitted by /u/Complete-Sea6655 [link] [comments]

An issue caused some user accounts to be incorrectly suspended. We’re restoring access and working through related subscription and credit issues. https://t.co/Vyqnn17RzG

An issue caused some user accounts to be incorrectly suspended. We’re restoring access and working through related subscription and credit issues. https://t.co/Vyqnn17RzG

Anyone else just sticking to Nano Banana 2 + Kling 3.0 on Artlist?

Been using the Artlist AI Toolkit for a while now and honestly just camp out on Nano Banana 2 for image editing and Kling 3.0 for video. Between those two I can pretty much handle everything I need. The toolkit has a ton of other stuff: Veo 3.1, Flux 2.0, GPT Image 1.5, Sora 2, but I haven't felt a strong enough reason to branch out yet. Curious if anyone's actually putting the other models to work or if most people find their two or three go-tos and just stay there. Is Veo 3.1 actually worth trying alongside Kling? And does anyone use the voiceover tools or is that still rough around the edges? submitted by /u/shogunattila [link] [comments]

Listen to the OpenAI Podcast on— Spotify https://t.co/1sYUSLF1cJ Apple https://t.co/zel5cpTVqT YouTube https://t.co/oYxzMX0Ocy

Listen to the OpenAI Podcast on— Spotify https://t.co/1sYUSLF1cJ Apple https://t.co/zel5cpTVqT YouTube https://t.co/oYxzMX0Ocy

What happened when one of our models found a counterexample to an 80-year-old Erdős conjecture? Researchers @alexwei_, @HongxunWu, and @wjmzbmr1 shared the story on the OpenAI Podcast with @AndrewMay

What happened when one of our models found a counterexample to an 80-year-old Erdős conjecture? Researchers @alexwei_, @HongxunWu, and @wjmzbmr1 shared the story on the OpenAI Podcast with @AndrewMayne and explained how mathematicians and models can work together to make new https://t.co/bQQ6Bvr8Qh

With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used. https://t.co/kXMAds0g3q

With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used. https://t.co/kXMAds0g3q

We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change. If you tell ChatGPT you’re planning a trip in July, memory should understand when

We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change. If you tell ChatGPT you’re planning a trip in July, memory should understand when the trip is upcoming, happening, and already over. That helps ChatGPT keep

The new memory system will keep track of important details automatically. If you prefer the legacy saved memories experience, you can switch back in settings. The new memory system is rolling out to

The new memory system will keep track of important details automatically. If you prefer the legacy saved memories experience, you can switch back in settings. The new memory system is rolling out to Plus and Pro users in the US today, along with 2x more memory. To access it on

We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time. Today, that work is rolling out as a more capable memory system in ChatGPT. http

We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time. Today, that work is rolling out as a more capable memory system in ChatGPT. https://t.co/0MyFKCe2Mu

RT @OpenAIDevs: Look closely. There’s more in the Showcase. https://t.co/AOWtZgozDB

RT @OpenAIDevs: Look closely. There’s more in the Showcase. https://t.co/AOWtZgozDB

We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger in

We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.

It's time to fly. https://t.co/ObUaCZ07EM

It's time to fly. https://t.co/ObUaCZ07EM