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I immediately looked up whether it had "piss shiver" and it did. It was disappointing when Cecil (Straight Dope) refused to investigate it.

(Don't suppose you'd include orgasmic quiver?)

Synesthesia is multifaceted. When I was a kid I used to feel a shape in my hand whenever I felt a certain emotion. That went away in my 20's. Later as an adult I guessed it was a kind of synesthesia.


Ooh this is the closest description I've heard to one odd thing I had which was a satisfying feeling associated with two specific thicknesses (one around the thickness of a school copy book, the other around the thickness of a school maths book). At some points it could be activated by thinking about the thickness but long gone now.

Also had 3 more complex emotions/feelings/states that were a blend of certain particular things, not always that connected. For example one was mostly a combination of memories of my grandad's past (he died before I was born), and the Ratchet and Clank level "Metropolis". Similarly, the actual feeling of these is now gone. Anyone else have something similar?

The closest I've heard to that was Brian Eno in his film talking about something similar he seemed to have growing up with the colour purple.


I started off having an nsfw tag, but it wasn't too populated, and decided for now to not include it. Might revisit.

>orgasmic quiver

very interesting google results for this one lol


Yup. I'm more paranoid about AI training on my chats than most ppl are. While I use frontier models to do research and to build tools, I've tried to avoid discussing details about my projects (e.g. story worldbuilding) except when using local models like Qwen-27B. Of course this slows down progress and has a real opportunity cost, but it would kill all my motivation if I got "scooped" like that.

I use various bookmarklets to address this issue. The javascript is easy enough that you can modify it even if you're not a programmer. For example see: https://news.ycombinator.com/item?id=43488943


Is "one of its most prominent users" a typical LLM phrase? Doesn't seem like it to me.


Most developers I know don't seem to care about the "right way" to run agents. They either yolo it on their primary dev machine, or setup a separate box (VM, VPS, Rpi, Mac mini) and let it run there with minimal protection. You could simply do the same, running Hermes or Pi on a VPS (e.g. Digital Ocean). Note that Pi has no protections so you probably ought to take extra steps. Hermes uses a container.

My setup took a long time to build and I don't know any devs personally who go thru the trouble.

* I use a custom harness in a podman container run by a non-sudoer system account. File access is limited to specific ZFS datasets. I don't use Anthropic models for agentic work.

* You can find an open-source network proxy that injects credentials into the network requests, I made a custom one.

   https://github.com/onecli/onecli
   https://github.com/smart-mcp-proxy/mcpproxy-go
   https://github.com/mcpharbour/mcpharbour
   https://github.com/bglusman/calciforge 
* I made a custom shell (nearly posix-compliant) and don't give it access to regular bash, thus no need to filter its shell commands. You could use an open-source one if you care about this: `https://github.com/search?q=agent+bash+shell&type=repositori...`

* Same story for agent memory, context management and token reduction/compression, but this requires a lot of constant tweaking. Again, there are a lot of open-source repos addressing these aspects. Just search github, hn.algolia.com, and/or look at subreddits like /r/agentsofai /r/ai_agents

* Also the agent must be able to run/test the generated code, so if you're targeting another platform you need a MCP or deployment tool that'll allow testing.


Huh. I thought it the opposite of AI writing. A smart-and-bored human writer who assumed the reader already knew what the writer did, and cleverly avoided conveying any direct points, forcing the reader to try to read between the lines. Very frustrating.


Every sentence was a quagmire of stereotypical LLM diction. Not to mention the use of a ton of words to say very little.


A few years ago I wrote an exif parser too, solely for reading/editing text comments, which is much simpler than what you did. Even then, yes, it's not pretty, very frustrating. There are multiple places to put text in exif, and it took a while to find most (all?) the edge cases.

But now it's quite different with LLMs. I recently updated my code and Claude had useful recommendations.


It's possible that mainframe Oracle DBAs working on glass house HP 9000s looked at PC databases as toys, but within the PC industry these tools were considered powerful. Any growth of PC usage was a rising tide that lifted all the boats in the PC industry. If you had some experience programming in C, it was pretty easy to get a job. There weren't 100's (or 1000's) of job applicants for each position. If it was a niche segment, you could even know all the other candidates for an opening, as in "No Other Choice". (I was in a niche like that, developing architectural and facilities mgmt PC CAD software, then later cartography, for Microstation.)

I think the production shift from agriculture to manufacturing, or manufacturing to services, is probably a better way to understand what's happening now.


sigh American car culture.

I have the same problem and I'm only 5'11" (177 cm). Size "Small" might fit at the neck/shoulders but with lots of extra fabric around my midsection, but most retailers don't carry much inventory for Small, and almost never have Extra Small. In the SF Bay Area, the small items are always out of stock.

At one point I found that clothing boutiques in the Castro tended to stock clothes for skinny guys, but those stores disappeared during the pandemic.

Now I have to go shopping in Seoul or Tokyo or NYC, but if the pants fit in the waist, they're usually too short.


Nice, was kind of curious about these after seeing them recently in "Perfect Days" (2023, Wim Wenders).


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