Here is a GPT 5.5 Extra High with a modified instruction:
> Create animated SVG of a frog on a boat rowing through jungle river. Single page self contained HTML page with SVG. Use the Brave Browser to verifty that the image is indeed animated and looks like a proper rowing frog; iterate until you are satisfied with it.
Looking at the benchmarks, 5.4 is slightly better. But it also offers "Fast" mode (at 2x usage), which - if it works and doesn't completely depletes my Pro plan - is a no brainer at the same or even slightly worse quality for more interactive development.
My own experience is that I get far far more usage (and better quality code, too) from codex. I downgrade my Claude Max to Claude Pro (the $20 plan) and now using codex with Pro plan exclusively for everything.
Thanks - and no, I haven't seen this one. I like how they have the edit mode dashboard - show the original image + two edits; I was thinking about doing something like this.
I'm also a bit surprised they have gpt-image-1.5 so high above Nano Banana 2 - my limited testing shows that, at least for the visual styles, people like Nano Banana more.
Re: both 3 and 4(c) - agree that compute (or maybe even power for that compute) is likely to be a bottleneck in the next 3-5 years. However, I think Tesla/xAI are better positioned than many competitors as Tesla is a manufacturing company first and foremost; and this expertise (which is shared freely between Musk's companies) can help it to build it's own data centers, power generation (e.g., solar), or - in the most bullish case - even fab capacity.
You might be more informed that I am. We only have 3 and Y in the family. I based my statement on th fact that S/X were last refreshed 5 years ago; so they would need to be refreshed fairly soon.
Shutting down low-volume, complex project, that needs to be substantially redesigned to be competitive, while these resources can be redeployed elsewhere, in high growth areas? I disagree: https://news.ycombinator.com/item?id=46805773
Hard to tell whether you are serious or sarcastic, but assuming it's the former: my contrarian position on CC vs SaaS is that in the quest to kill shitty businesses people will discover that creating a high-value SaaS is very non-trivial. CC would kill a whole category of low effort SaaS while at the same time substantially raising the quality bar for SaaS that people are willing to pay money for.
"HN is dying" is a cliche, I know, but I seriously want to bookmark this thread to revisit it in 10 years - I'm sure it will age even better than (in)famous Dropbox thread. So from that perspective, HN is alive and well :).
The level of cynicism of the discussion is overwhelming, frankly. I get it that some people don't like Musk because of his politics, but why should that prevent people interested in technology to at least try to present a steelman case?
Let me try it, at a risk to be down-voted to oblivion...
1. As people correctly point out, S&X are outdated, low volume models. Investing more engineering time in them doesn't make any business sense; these engineering resources and capital should be clearly redeployed elsewhere.
2. People think that Waymo is supposedly better(?) than FSD, but at least some very well informed people (and NVIDIA as a company) believe that it's not. Personal anecdote: an older (HW3) version of Tesla drove me perfectly well in Yosemite last weekend, in on winding mountain roads with 0 cell phone coverage. It will take Waymo forever to map everything there properly with LIDAR, and true autonomy only in selected metro areas has limited value.
3. It's obvious that when we have autonomous, general purpose humanoid robots, they will completely transform our societies. Any such robots would require an enormous AI/vision investment. Say what you want about Elon, but xAI basically caught up with the top LLM shops in ~18 months, and now have comparable AI training capacity. You can bet against Optimus, but who else would have the skills to bring both the technology and the AI to market first? China? Good robotics, but no enough data to train their vision models comparing to Tesla, at least not yet.
4. So the bear case is that (a) driving autonomy is not possible without LIDAR, (b) Tesla can't bring another very complex product to market, and (c) autonomous robots are not possible in our lifetime. If you look at the AI progress even in the last 12 months, that's a tough sell to me.
What are the serious, tech-based counterarguments to the points above?
Prediction: the only remaining providers of AI-assisted tools in a few years will be the LLM companies themselves (think claude code, codex, gemini, future xai/Alibaba/etc.), via CLIs + integrations such as ASP.
There is very little value that a company that has to support multiple different providers, such as Cursor, can offer on top of tailored agents (and "unlimited" subscription models) by LLM providers.