I suspect it's going to be used to train/distill lighter models. The exciting part for me is the improvement in those lighter models.

Considering how fast competitors caught up to them, I'm not convinced that OpenAI was years ahead. LLMs and transformers were known technology, it's just that OpenAI accidentally productized it before others did (ChatGPT). This is not an advantage measured in years. Google, for example, could have caught up to them pretty easily (they invented the transformer architecture), I think it mostly came down to mismanagement that they flopped so hard with Bard. The biggest cost was high quality data, Google certainly had that, and a budget for huge training runs. I really don't think OpenAI had any special sauce that made them years ahead.

One confounder here is that LLM scaling has started to hit diminished returns recently, no more GPT3 -> GPT4/o1 jumps in recent times, making it easier to catch up to the SOTA.

That schism within the OpenAI leadership was ugly. And Sam Altman does seem to be a bit snakey to me. But I have no illusions about any company in this space, including Antropic. None of these companies are moral, given what data these models are trained on.

> their competitors caught up and then passed them by

The different models are more capable in different aspects, but they are close enough together that only in a few months they leapfrog each other.

> OpenAI is floundering and can't sustain their own burn rate. Their competitors are thriving.

Google is thriving, sure, but not because of Gemini, it's because of their existing ads business. I would not say that about Anthropic, they seem to be struggling to provide enough compute (with the recent usage limit changes). Hard to know whats happening funding wise in these companies. Saying that their competitors are thriving is a stretch. And again, if the AI bubble pops, Antropic is gonna hurt along with OpenAI. Just not clear to what extent.

I've only recently enabled it so I don't know how frequent dead comments were before the LLM era.

> absent parent more concerned with his business than his son

I don't know how you came to this conclusion from the post.

I cannot really see how they are "far behind," or how some plugin for Claude Code is a "last desperate bid." The tools are close enough to each other that I regularly use Codex one month and Claude Code the next without much disruption, just to try out any new models or features that might be available.

I do not have much visibility into the non-code applications, so maybe it is stickier there.

If/when the AI bubble pops and takes OpenAI down with it, I would not expect Anthropic to come out unscathed either.

https://www.reddit.com/r/GeminiCLI/comments/1s49pag/this_is_...

Also not great that they communicate this now, since people have been complaining about sudden and strange usage spikes for a few days with no response from Anthropic.

> Yes! Time we can reclaim from the mundane chores of life to do with as we choose! How could you not want that?

We already had a huge productivity boom these past decades, but wages flat-lined and the vast majority of the profits and surplus went to the top. Housing, education, and healthcare became less affordable, not more. History points against your simple view.

I'm not convinced that AI breaks that pattern. If anything, the concentration is worse this time. The capital required is huge, the technology is controlled by a handful of companies, and the most applications are about replacing labor. That last part further erodes the already meager worker bargaining power.

We do need a serious systemic change to get to the world you're envisioning. One where that congealed wealth needs to start flowing again.

Cursor's auto mode is flaky because you don't know which model they're routing you to, and it could be a smaller, worse model.

It's hard to see why paying a middleman for access to models would be cheaper than going directly to the model providers. I was a heavy Cursor user, and I've completely switched to Codex CLI or Claude Code. I don't have to deal with an older, potentially buggier version of VS Code, and I also have the option of not using VS Code at all.

One nice thing about Cursor is its code and documentation embedding. I don't know how much code embedding really helps, but documentation embedding is useful.

[1] https://marketplace.visualstudio.com/items?itemName=ezforo.c...

Out of ~7.5 million creators in 2022, only 11,000 qualified for cashing out.

The distribution is brutal, realistically you have to stick with it for years before getting a hit, if ever. Not to mention the stats probably look worse in the LLM era. You definitely have to like doing it as a hobby.

One caveat is that the creator total likely includes a lot of casual experimentation. If many users make one or two games and then stop (I can see most kids doing this), the 7.5 million figure may overstate how many people are seriously trying to make money from it.

[1] https://about.roblox.com/newsroom/2023/07/vision-roblox-econ...

OK, technically true, just like saying "water flows downhill" when someone's house is flooding. It isn't productive, the fact is well known.

"The system incentivizes this" and "this is good/bad" are two entirely different statements. One doesn't address the other [1], until you make a moral judgement about the outcome.

> You say this as if it's some deviant behaviour that needs correcting.

Is it moral and correct for infants to be fed contaminated baby formula? The mismatch between what is and what ought to be is deviance.

[1] https://en.wikipedia.org/wiki/Is%E2%80%93ought_problem

The Claude Code TUI itself is a front end, and should not be taking 3-4 seconds to load. That kind of loading time is around what VSCode takes on my machine, and VSCode is a full blown editor.

Also note that with Claude models, Copilot might allocate a different number of thinking tokens compared to Claude Code.

Things may have changed now compared to when I tried it out, these tools are in constant flux. In general I've found that harnesses created by the model providers (OpenAI/Codex CLI, Anthropic/Claude Code, Google/Gemini CLI) tend to be better than generalist harnesses (cheaper too, since you're not paying a middleman).

- Opus 4.5 for software development. Works faster, and tends to write cleaner code.

- GPT 5.2 xHigh for mathematical analysis, and analysis in general (e.g. code review, planning, double checks), it's very meticulous.

- Gemini 3.0 Pro for image understanding, though this one I haven't played around with much.

There is even a section about this in the wiki article:

https://en.wikipedia.org/wiki/Project_Cybersyn#Contemporary_...

https://en.wikipedia.org/wiki/The_People%27s_Republic_of_Wal...

What happens if the Venezuelan people decide they want their oil profits to stay in Venezuela rather than flowing into oil company coffers? Will they have the "freedom" to choose that?

Don't get me wrong, Maduro being toppled is a positive in isolation, but it's still wait-and-see regarding what he gets replaced with.

"We’re going to have our very large US oil companies, the biggest anywhere in the world, go in, spend billions of dollars, fix the badly broken infrastructure, the oil infrastructure, and start making money for the country and we are ready to stage a second and much larger attack if we need to do so" [1]

[1] https://www.theguardian.com/us-news/2026/jan/03/trump-venezu...

It should not be contentious at this point, the US only cares about the geopolitical value of Venezuela, and if supporting another dictator helps towards this end, then that's what will happen.

You'll also need to load inputs (images in this case) onto the GPU memory, and that depends on the image resolution and batch size.