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Simon, love your work, one piece of minor feedback for the individual model pages is to make the font of the model name potentially bigger than (and above) the conversation id (which means nothing to the audience) "2026-09-22T18:28:00 conversation: 01m355zvyw8946qyraa8zpz6h9 id: 01m355zvyx47zxx5c6q6b3fg0m#".

I had all the tabs open individually and harder to scan which model is which... otherwise keep up the great work! I like the grid view a lot. (Also the pages have no OG images set, which impacts what the link looks like shared)...


That's a good idea. It's the default output for my `llm logs` command, but that header could at least show the model ID.

OG images will require me to move away from publishing in a Gist and linking to from a JavaScript page that loads the Gist. Probably worthwhile though.


I think you can make it work without leaving Gists by using a Cloudflare Worker as a workaround. The Worker sits in front of the renderer page and adds the og tags to the HTML before it's sent out. You'd also need to turn the SVGs in the Gist into a PNG for the og:image, and decide if you want a grid or just one image, any text formatting, and how long to cache...

I got it working in a quick local test (grid of all the reasoning efforts, cached per Gist, loads from the raw Gist URL so it doesn't hit the GitHub API rate limit).

Code + prompt + notes here: https://gist.github.com/matznerd/ece297107bd99ac028c7962c217...

Basic concept is to:

1. Put a Worker on the /markdown-svg-renderer route. Normal visitors get your page exactly as it is now.

2. When a link has ?url=<gist>, the Worker reads the Gist and adds og:title, og:description and og:image to the page's HTML. Link previewers like Slack and iMessage don't run JS, so this is the only way they see them.

3. og:image points to a second Worker URL (og.png?url=<gist>). It takes the SVGs from the Gist, puts them in a grid, and converts it to a PNG, since previewers won't show SVGs.

4. Both results get cached per Gist, so each Gist is only fetched and rendered once, even with a lot of traffic.

Things to customize:

- Title and description (mine: "gpt-6-luna SVG of a pelican riding a bicycle" / "6 runs, reasoning effort none to max")

- Grid of all runs vs just one image, plus layout, labels and font

- How long to cache (I used a day, but edited Gists keep the old preview until it expires)


Not OP, but you can't set a per api key limit in OpenAI Platform, you also can't really easily see spending going on per key, and its also in a far off page separate from the keys, really not easy to see what is going on with spend in real time.


Is there any way to make it so that when you plug new things in, the power doesn't renegotiate causing other things plugged in to reconnect/flicker/interrupt.

Looking for high power USB C hubs that don't do that, but seems most do as part of PD and need isolated slots that don't draw from shared potential... programmatically locking specific power to laptop hub, while others negotiate would be ideal...


Jeff Geerling has some videos about that. It's a hardware thing. https://www.youtube.com/watch?v=twoAW0eLiXY


Great that it was available, but compared to Peter's version this one is inferior. It didn't have draft email as a default and asking it to write a draft would just send the email, oops lol. And doesn't have mutli-account support or a number of other features. I think one thing it could do better was inline commenting (maybe), but neither CLI can initiate their own comments...

Gog cli - https://github.com/openclaw/gogcli


have enough sessions going that you just cycled through them and by the time you get back that chat is ready to go again. Easier sometimes staying in same project, sometimes easier if you don't use worktrees to work on different projects.


I thought this post was going to be a metaphor about how most people can barely handle 1 project, while some people need to multiple projects for it to feel natural...


I really hoped it wouldn't. Too played out


I do writing with RAG and it can be implemented to suprisingly good if you already have your own writing that the text is being generated from. FAQs etc can be pretty easy when your content is context for the AI.

After a few rounds of AI generating AI content from AI content, I'm sure it could eventually become slop...like the model collapse lol idk.

"AI models collapse when trained on recursively generated data" - https://www.nature.com/articles/s41586-024-07566-y


Dear Notion employees, please, if you're advertise mail and calendar as features, add them into your app and do not make them open in new tabs. I want an all in one thing, why is that so hard, you already have tabs built in? Thanks!


okay but what about "c" being nearly the same as "z", neither of which look like the character and are nearly(?) identical. Is our brain supposed to just be able to figure it out?


O and 0 are very similar in lots of typefaces. And I and l and 1. Even u and v. Your brain's pretty good at figuring it out. Context helps a lot.


With narrow spacing and poor kerning it can get much worse, especially if you're reading printed text; I've seen some extremely bad fonts used in print, (usually in italics or titles, but sometimes in the body text as well): m and rn, cl and d, lo and b, jo and p, ijl1, GC0OQ, italic Q2.


yeah I can read it ok


"A large new study published in the International Journal of Hygiene and Environmental Health provides evidence that exposure to certain workplace chemicals among parents may influence the severity of autism spectrum disorder (ASD) symptoms and contribute to behavioral, cognitive, and adaptive challenges in their children. The findings suggest that occupational exposures—especially to plastics, ethylene oxide, phenols, and pharmaceutical agents—may have broader developmental effects beyond autism diagnosis alone."

"The effects of parental occupational exposures on autism spectrum disorder severity and skills in cognitive and adaptive domains in children with autism spectrum disorder" https://www.sciencedirect.com/science/article/pii/S143846392...

The person leading this study, Erin C. McCanlies, was forced out of the CDC, her division eliminated and she went into early retirement from the CDC. https://www.psypost.org/scientist-who-linked-autism-to-chemi...

---

"The findings suggest that workplace exposures to several specific chemical classes were associated with worse outcomes in children with ASD. One of the strongest and most consistent patterns involved plastics and polymer chemicals. Fathers’ exposure to plastics was associated with lower scores across all cognitive and adaptive skill domains, including language, motor coordination, daily living skills, and overall functioning. When both parents were exposed, the deficits appeared to compound.

“I was surprised how strongly and consistently plastics and polymers stood out as being linked with multiple developmental and behavioral outcomes including irritability, hyperactivity, and daily living,” McCanlies told PsyPost.

Exposure to ethylene oxide—commonly used in hospital sterilization—was also linked to more severe autism symptoms, lower expressive language abilities, and poorer adaptive functioning. Similarly, parental exposure to phenol (used in construction, automotive, and some consumer products) and pharmaceuticals was associated with increased ASD severity and more pronounced behavioral challenges, especially hyperactivity and stereotyped behavior.

While the results do not imply that all children exposed to these chemicals will develop more severe symptoms, the patterns suggest that early life exposure to workplace toxicants may amplify certain developmental difficulties in children who already meet criteria for ASD. The study provides one of the most detailed looks to date at how parental occupation may relate not just to diagnosis, but to variation in how autism is expressed.

“Our findings suggest that certain parental workplace exposures may be related not just to autism, but to worse symptoms and autism behaviors,” McCanlies explained."


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