OpenAI is shutting down its Sora video-creation app

It still sounds very stupid even if COVID didn't hit. They're competing with YouTube, messaging apps, mobile games etc., and setting up a whole streaming service based on a very narrow premise instead of a library of interesting content. It was like the Juicero of Streaming.

Yes that's the point I was making. It was dumb of them to push a short form format when people were stuck at home. It might have survived if it had been long from. They had the talent and decent stories.

It's much more positive. There's no general anti-AI sentiment. The biggest difference is probably that the people trust the government to shield them from the negative economic impact of AI vs. if it was controlled solely by runaway capitalism. AI is seen as something that will be harnessed for society, and as a tool. If you look at the comments on AI videos, much more of the critique is on the execution and content itself, instead of being simply pro or anti AI in general.

Because in China, you legally required to post super large disclaimer and say "The current/following footage is AI generated" or your post will be taken down as misinformation. And monetising your ai stuff is while still dubious (aka stealing assets), you have to paste "I used AI, my content are AI" to run your creative business. Meanwhile outside of china ppl can just blatantly lie and play pretend of AI stuff in your content.

Computers have historically tended to get faster over time. I wouldn't be too surprised if local models are super common in ten years once the hardware side of things catches up. That doesn't resolve the social problems, but I just think it's a genie that won't go back in the bottle.

Solar panels is what the folks on localllama told me; work only when the sun's up 🌞

Training a model is where the high energy usage comes from. Once it's trained the electricity usage is nothing special, no more than a video game.

Datacenters are less efficient than any PC you've ever owned. Like, just consider the fact that cooling your CPU only relies on components inside the PC, while datacenters require massive HVAC systems running 24/7.

CEO was openly scamming his own company. Early investors had all the documents but somehow didn’t care. When they tried to IPO, experts and journalists saw the horror in the filings and called it out, leading to a crash in expected valuation, and the CEO didn’t quit, he was paid 2 billion dollars cash to leave!! (CEO retained all decision power so they had to pay him to leave willingly…)

You are definitely on to something here. The concept of machine learning will definitely survive long term just like the concept of a world wide communication network did. The LLM technology will most likely fade at one point as the lack of intelligence means it’s only really good for like first draft level quality, which can be very tricky to build on from as in generating that draft one skips the learning stage needed to iterate on the text/code. The image and voice generating features I hope don’t progress much beyond this current stage as they make it difficult to say what is real, and I really don’t like them from an artistic standpoint. Even flawed artists are more compelling than auto generated content. It seems like the companies will still push for this stuff in order to cut out artists from their expenses. There are definitely several use cases where machine learning can be useful, but the major issue we as a global society seems to be facing now is knowing what we should use these technologies for, and how we go about it. A lot of the people making the decisions on how AI impacts us in our daily lives doesn’t actually understand how it works. The customer service LLM chatbots is only really a tool for companies to dodge responsibilities. Predictive policing just reinforces inherent biases from the data it is built on, and when later making decisions based on the effects of its previous work that will just become self reinforcing. A certain moronic world leader has even spread obvious AI stories as facts as he was too dumb to spot the signs.

But somehow both at the same time.

I don’t mean to denigrate, but answering questions about Office and Azure is essentially bottom of the barrel. If you try to use Gemini to build distributed systems, especially multi-cloud, the flaws become quickly apparent. I pay for Antigravity Ultra too, so I’m not some luddite. I use it every day, for hours a day. It saves time in a lot of areas, but it eats just as much time in bullshit. Gemini can - and absolutely will - completely hallucinate. It will make up endpoints, fabricate cloud services, mix up your own services, needlessly try to deploy to production. The list goes on. In three consecutive responses, it will say “I’m absolutely sure we need to use X from Y to achieve Z.” Then, immediately after, “I’m so sorry for leading you astray. Using X from Y to achieve Z will not work. You need to use A from B to achieve C”. Then, immediately after that, “Forgive me for sending you down the wrong path. My memory context got all jumbled. I’m back on track now. You absolutely need to use X from Y to achieve Z”. Then you find out X doesn’t exist on Y and A doesn’t exist on B. You literally just wasted time and money going back and forth about complete bullshit. You think, “oh. Lemme add some rules to .agent. Do not suggest X on Y or A on B”. It follows them for a few prompts, and then an hour later, it does the exact same bullshit. Yeah. It generates convincing sounding stuff, especially when you ask about things in which you’re not an expert, but the moment you ask it about your domain, it’s immediately apparent that this AI revolution is not happening anytime soon. To anyone informed, this is not a revelation, but these things are not even close to intelligence. It’s not even in the same ballpark. The very fact that an LLM will never say “i don’t know” is basically stop-ship. It’s meant to give you the illusion of authority. That only works if you, yourself, are not an authority. I cannot tell you how many times Gemini has tried to put secrets in source code or blindly trust a frontend client as some source of truth. Even the most junior dev wouldn’t make those mistakes. It absolutely churns out code. There is no denying that. And sometimes it does great work and will offer helpful feedback. Then, immediately after, it will put your stripe api key right into your server and log it