For comparisonI think the current leader in pelican drawing is Gemini 3 Deep Think:

https://bsky.app/profile/simonwillison.net/post/3meolxx5s722...

My take (also Gemini 3 Deep Think): https://gemini.google.com/share/12e672dd39b7

Somehow it's much better now.

I’m not familiar with Gemini, isn’t this just a diffusion model output? The Pelican test is for the llm to produce SVG markup.

Yeah, I was so amazed by the result I didn't even realize Gemini used Nano Banana while producing the result.

Is that actually better? That pelican has arms sprouting out of its wings

You can see up-thread that the same model will produce different answers for different people or even from run to run.

That seems problematic for a very basic question.

Yes, models can be harnessed with structures that run queries 100x and take the "best" answer, and we can claim that if the best answer gets it right, models therefore "can solve" the problem. But for practical end-user AI use, high error rates are a problem and greatly undermine confidence.

Most importantly, Slack limits the amount of message history you get to keep if you’re not paying. And the payment plans are per-user fees which quickly becomes non-viable for non-commercial use.

Ideally, ethical buyers would cause the market to line up behind ethical products. For that to be possible, we have to have choices available to us. Seems to me Anthropic is making such a choice available to see if buyers will line up behind it.

“Ideally” is doing a lot of heavy lifting here.

The WF store I frequent has lousy cell reception, so add th step “open Settings app and get on store’s wifi” (and who knows what all that lets them track).

Yes, cement absorbs CO2 as it sets, there are reams of "green cement" startups based on that premise like CarbonBuilt. This paper presents new estimates on how much is actually taken up and what factors matter, but the abstract does not mention whether there is any actionable information. Yawn.

See discussion elsewhere in this thread on updating to 15.7.3:

https://news.ycombinator.com/item?id=46264741

The #1 problem I have typing on my iPhone is that I hit letter keys (mostly 'n') instead of the space bar and the phone just doesn't anticipate this as a possible typo and doesn't offer the right corrections. (I have AutoCorrect off.) It doesn't seem able to learn that this is a common typo, either.

Hah! I have exactly the opposite problem, I hit the space bar, instead of N, and the iPhone doesn't understand this a possible typo, so all the suggestions and auto-corrects are wrong.

Interesting. Just tried this out on Pixel's gboard and it does seem to correct this sort of issue

Claude Code usage probably isn't counted as "chatbot" use. Also, I think you're overestimating how many people program vs. how many people are using AI chatbots as the new websearch. Orders of magnitude more of the latter.

Sure - US has 1M developers vs 300M pop. At least the Claude Code developers are paying for it though, vs only 5% of users paying for ChatGPT.

The one current paying user of the app I've seen in this discussion called it "Wanderlog". FYI on the stickiness of the current name.

wanderlog is a separate web service

https://wanderlog.com/