Apologies your highness. Your neck must be sore being this far up your arse.

Never claimed I was? Computer scientist.

I’m not an engineer.

That isn’t the discussion at hand. Insane you don’t realise that.

In the case of a senior engineer then they wouldn’t need to worry about the hallucination rate. The LLM is a lot faster than them and they can do other tasks while it’s being generated and then review the outputs. If it’s trivial you’ve saved time, if not, you can pull up that documentation, and reason and step through the problem with the LLM. If you actually know what you’re talking about you can see when it slips up and correct it.

And that hallucination rate is rapidly dropping. We’ve jumped from about 40% accuracy to 90% over the past ~6mo alone (aider polygot coding benchmark) - at about 1/10th the cost (iirc).

I mean before we’d just ask google and read stack, blogs, support posts, etc. Now it just finds them for you instantly so you can just click and read them. The human reasoning part is just shifting elsewhere where you solve the problem during debugging before commits.

Sounds like they need to work on their prompts. I vibe code some hobby projects I wouldn’t have done otherwise and it’s never done that. I have it comment each change and review it all in diff checker so that’s 90% of the time.

Ai vegans are people who only use ai generated porn.

The writers this season aren’t even trying anymore.

Removed by mod

Might just be Glaswegian.

Define reason.

Like humans? Of course not. They lack intent, awareness, and grounded meaning. They don’t “understand” problems, they generate token sequences.

It’s built on publicly available data, the same way that humans learn, by reading and observing what is accessible. Many are also now trained on licensed, opt-in and synthetic data.

They don’t erase credit they amplify access to human ideas.

Training consumes energy, but its ongoing usage to query is vastly cheaper to query than most industrial processes. You’re assuming it cannot reduce our energy usage by improving efficiency and removing manual labour.

“If something is made unethically, it shouldn’t exist”

By that logic, nearly all modern technology (from smartphones to pharmaceuticals) would be invalidated.

And fyi I am an anarchist and do not think intellectual property is a valid thing to start with.

I think you’re also underestimating the benefits cars have ushered, you’d be hard pressed to find anyone serious that can show that the harm has ‘outweighed their benefits’

• Self-reported reductions in cognitive effort do not equal reduced critical thinking; efficiency isn’t cognitive decline.
• The study relies on subjective perception, not objective performance or longitudinal data.
• Trust in AI may reflect appropriate tool use, not overreliance or diminished judgment.
• Users often shift critical thinking to higher-level tasks like verifying and editing, not abandoning it.
• Routine task delegation is intentional and rational, not evidence of skill loss.
• The paper describes perceptions, but overstates risks without proving causation.

I showed this one to my friend and she said ‘But they faces aren’t AI generated, right?’

https://www.reddit.com/r/aivideo/comments/1kxs6yq/were_cooked_a_zerocost_ai_demo/

There’s a bit at the end where the spaghetti disappears, the chef walks away a bit quick while still speaking, but otherwise it’s nearly flawless.

For scenes with lots of action and complex physics it’s still very noticeable

https://old.reddit.com/r/aivideo/comments/1ktgjwh/pushing_veo_3_to_the_limit/

But it’s already good enough to replace several scenes in blockbusters. Dream scenes, cut-aways, etc.

Look at this sausage dog

https://xcancel.com/nmatares/status/1924931844879134804

It even gets the audio right when it moves between hardwood and carpet.

rare talent these days

The statement assumes AGI must surpass all narrow models in every domain, but this is not a requirement by definition. AGI is defined by its generality across tasks, not by superiority in each specialized field.

Only sometimes, with enough generations you can already make indistinguishable videos for the most part. You’re seeing these mistakes because it’s amateurs spending $100 not professionals spending $10k.

Given current rate of pace Veo4 should be out in a couple months.

Yes it does. It’s one component of a broader system. The ability to generate helps it interpret. An AGI might use a diffusion model to imagine scenarios, generate visual plans, or process sensory input.