sindriava

You seem very comfortable making unfounded claims. I don't think this is very constructive or adds much to the discussion. While we can debate the stylistic changes of the previous commenter, you seem to be discounting the rate at which the writing style of various LLMs has backpropagated into many peoples' brains.

People also think that two companies doing business with each other is somehow a "circlular dependency".

ITT: Keyboard warriors with no background in economics deciding if multinational corporate deals are a bubble or not

LLMs have already hit their limits

This is the most profoundly idiotic sentiment to ever come out of the AI discourse. Not only has it been sung for so long that it's been proven wrong mutliple times now, it also pulls the strawman of the century because NO ONE working in frontier AI labs is pushing the narrative that "we don't need anything to change to reach AGI". You can stick your head in the sand all you want, progress is happening and it's not slowing down as of yet. Your knowledge of AI being limited to talking to chatbots doesn't change a thing.

Take this attitude somewhere else, this isn't Reddit.

To set the record straight:

- "CoT reasoning- stolen from Chinese AI labs" I should really hope this point doesn't need correcting. Accusing anyone from stealing of stealing from "Chinese AI labs" is laughable at this point.

- "Codex is a ripoff of Claude Code" Claude Code wasn't the first CLI agent and you could just as easily "accuse" Anthropic of stealing the idea of chatting with an LLM from OpenAI.

- "Sora is a low quality clone of Google’s Veo3." Do you realize video models existed BEFORE you were born, which was apparently yesterday?

- "another Perplexity ripoff." Wait until you hear how Perplexity came to be.

We know for a fact that current LLMs are massively inefficient, this is not a new thing. But every optimization you make will allow you to run more inference with this hardware, there's not a reason for it to make it meaningless any more than more efficient cars didn't obsolete roads.

Current systems are already tremendously useful in the medical field. And I'm not talking about your doctor asking ChatGPT random shit, I'm saying radiology results processing, patient monitoring, monitoring of medication studies... The list goes on. Not to mention many of the research advances done using automated systems already, for example for weather forecasting.

Demis Hassabis seems to think this and not only does he not focus only on LLMs, he got a nobel prize for a non-LLM system ;)

While I understand you wrote "free time", this isn't Reddit. Keep the snarkiness to a minimum.

My experience quite often is that if I get in a bad state, the things that usually bring me joy just no longer do. In some cases they even produce more sadness.

I personally think the US benefited from recent events in a similar way body benefits from a fever. So yes, even though it might not feel like it at times.

I appreciate you're trying to give well meaning advice, but do you think what you wrote could be perceived as very condescending?

I think this question stems from a fundamental misunderstanding of how depression works for a lot of people. You're asking "why don't they replace negative signals with positive signals" when the problem often is that the positive signaling mechanism itself is broken. It's like trying to balance a bike that only goes left.

This is likely a byproduct of us being too comfortable now. Not in the "you've got nothing real to worry about!" boomer rethoric kind of way, but in the sense that our baseline for reward has shifted a bit higher. So trauma can still present a very strong negative RL signal, while positive RL signals of similar magnitude become rarer.

I agree with this to a large extent. All prediction comes with uncertainty and a good survival strategy is to align towards the upper bound on risk and lower bound on reward.

10/10 exactly what people with these issues want to hear. Great thing to post OP!

Rich coming from the guy who moved his muscles until sounds came out.

Also next time you should bother to at least copy paste your questions into any recent LLM, since they can all solve it without issue. But hallucations like this are common with non-reasoning HN users.

I won't read this because you're not really thinking, just pressing keyboard keys.

So just to be clear when you mention "AI" you're mostly talking about LLMs right? Since most of these don't apply to expert systems.

Could you describe in what way do you find the current paradigms "new" or what unsolved issues you're talking about?

This is such a wildly misleading statement that it borders on straight up incorrect.

I can't speak for you but I'm certainly not qualified to opine on the predictions so I won't address the 20% figure since I don't find it relevant.

data centers account for 1% to 2% of overall global energy demand

So does the mining industry. Part of that data center consumption is the discussion we are having right now.

I find that in general energy doesn't tend to get spent unless there's something to be gained from it. Note that providing something that uses energy but doesn't provide value isn't a counterexample for this, since the greater goal of civilization seems to be discovering valuable parts of the state space, which necessitates visiting suboptimal states absent a clairvoyant heuristic.

I reject the statement that energy use is bad in principle and pending a more detailed ROI analysis of this, I think this branch of the topic has ran its course, at least for me :)

Huh, my search is also turning up nothing. I could swear I heard a story about cauliflower originally being yellow and getting replaced with the white cultivar due to the guy who grew it marketing it as "arsenic-free" cauliflower despite the fact that the yellow one had no arsenic to begin with. Either I'm getting Mandela effected or I'm hallucinating -- which of course only AI models are capable of ;)

Do you honestly expect anyone to believe you're trying to take part in a discussion with that last statement? I appreciate this topic has your emotions running hot, but this is HN, not Reddit. Please leave that kind of talk at the door.

They might be rational, but taking things out of context as much as happens with any AI / environment narrative gives off a strong "arsenic-free cauliflower" smell.

Comparing a general technology (AI) to a specific company (Groupon) is a category error. To your point coupons still exist and people use them and Anthropic might not exist in 2 years while AI will.

I appreciate this response. The environmental impact is such a red herring it's not even funny. Somehow these statements never include the impact of watching Netflix shows or doing data processing manually.

I became a hater by doing precisely those things AI cannot do: reading and understanding human language; thinking and reasoning about ideas; considering the meaning of my words and their context;

With this the article lost all seriousness for me. I may be on board with a lot of what you are saying, but pretending you know the answer to these questions just makes you look as idiotic as anyone who says the opposite.

Think about the difference between "tart" and "fart".

Can you explain what value this provides over just the Vercel AI SDK? I'm not super clear on what it is based on the homepage.