textlog
join
500 chars / 20 lines max ยท use #hashtags, @mentions and more
๐Ÿ˜€๐Ÿ˜ƒ๐Ÿ˜„๐Ÿ˜๐Ÿ˜†๐Ÿ˜…๐Ÿ˜‚๐Ÿคฃ๐Ÿ˜Š๐Ÿ˜‡๐Ÿ™‚๐Ÿ™ƒ๐Ÿ˜‰๐Ÿ˜Œ๐Ÿ˜๐Ÿฅฐ๐Ÿ˜˜๐Ÿ˜‹๐Ÿ˜›๐Ÿ˜œ๐Ÿคช๐Ÿคจ๐Ÿง๐Ÿค“๐Ÿ˜Ž๐Ÿคฉ๐Ÿฅณ๐Ÿ˜๐Ÿ˜’๐Ÿ˜ž๐Ÿ˜”๐Ÿ˜Ÿ๐Ÿ˜•๐Ÿ™โ˜น๏ธ๐Ÿ˜ฃ๐Ÿ˜–๐Ÿ˜ซ๐Ÿ˜ฉ๐Ÿฅบ๐Ÿ˜ข๐Ÿ˜ญ๐Ÿ˜ค๐Ÿ˜ ๐Ÿ˜ก๐Ÿคฌ๐Ÿคฏ๐Ÿ˜ณ๐Ÿฅต๐Ÿฅถ๐Ÿ˜ฑ๐Ÿ˜จ๐Ÿ˜ฐ๐Ÿ˜ฅ๐Ÿ˜“๐Ÿค—๐Ÿค”๐Ÿซฃ๐Ÿคญ๐Ÿซข๐Ÿคซ๐Ÿคฅ๐Ÿ˜ถ๐Ÿ˜๐Ÿ˜‘๐Ÿ˜ฌ๐Ÿ™„๐Ÿ˜ฏ๐Ÿ˜ฆ๐Ÿ˜ง๐Ÿ˜ฎ๐Ÿ˜ฒ๐Ÿฅฑ๐Ÿ˜ด๐Ÿคค๐Ÿ˜ช๐Ÿ˜ต๐Ÿค๐Ÿฅด๐Ÿคข๐Ÿคฎ๐Ÿคง๐Ÿ˜ท๐Ÿค’๐Ÿค•๐Ÿค‘๐Ÿค ๐Ÿ˜ˆ๐Ÿ‘ฟ๐Ÿ‘ป๐Ÿ’€โ˜ ๏ธ๐Ÿ‘ฝ๐Ÿค–๐ŸŽƒ๐Ÿ˜บ๐Ÿ˜ธ๐Ÿ˜น๐Ÿ˜ป๐Ÿ˜ผ๐Ÿ˜ฝ๐Ÿ™€๐Ÿ˜ฟ๐Ÿ˜พโค๏ธ๐Ÿงก๐Ÿ’›๐Ÿ’š๐Ÿ’™๐Ÿ’œ๐Ÿ–ค๐Ÿค๐ŸคŽ๐Ÿ’”โฃ๏ธ๐Ÿ’•๐Ÿ’ž๐Ÿ’“๐Ÿ’—๐Ÿ’–๐Ÿ’˜๐Ÿ’๐Ÿ’Ÿ๐Ÿ‘๐Ÿ‘Ž๐Ÿ‘Œ๐ŸคŒโœŒ๏ธ๐Ÿคž๐ŸคŸ๐Ÿค˜๐Ÿค™๐Ÿ‘ˆ๐Ÿ‘‰๐Ÿ‘†๐Ÿ‘‡โ˜๏ธโœ‹๐Ÿคš๐Ÿ–๏ธ๐Ÿ––๐Ÿ‘‹๐Ÿค๐Ÿ‘๐Ÿ™Œ๐Ÿซถ๐Ÿ‘๐Ÿคฒ๐Ÿ™โœ๏ธ๐Ÿ’ช๐Ÿ‘€๐Ÿ‘๏ธ๐Ÿง ๐Ÿซ€๐Ÿซ๐ŸŒฑ๐ŸŒฟโ˜˜๏ธ๐Ÿ€๐ŸŒธ๐ŸŒบ๐ŸŒป๐ŸŒž๐ŸŒ™โญโœจโšก๐Ÿ”ฅ๐ŸŒˆโ˜€๏ธโ˜๏ธโ„๏ธโ˜•๐Ÿ•๐ŸŽ๐ŸŽ‰๐ŸŽŠ๐ŸŽˆ๐ŸŽ๐ŸŽต๐ŸŽถ๐ŸŽจ๐Ÿ“š๐Ÿ’กโœ…โŒโš ๏ธ๐Ÿš€๐ŸŒ๐Ÿ’ป๐Ÿ“ฑ๐Ÿ”’๐Ÿ”‘
example.com or
https://example.com
Regular links
[title](example.com) or
[title](https://example.com)
Markdown links
~text~ or ~~text~~
Strikethrough
*text* or **text**
Bold
_text_ or __text__
Underline
/text/
Italics
> text
Quote
:smile
Emoji autocomplete
1. first
2. second
3. third
Numbered lists
- first
- second
- third
Bulleted lists
Nameย  | Status | Count
----- | :----- | ----:
notes | readyย  | ย ย ย ย 3
Tables
|redacted|
Redacted
`code`
Inline code
```โ€ฆ```
Code fences
$inline$
Inline LaTeX
$$block$$
Block LaTeX
Which one? #poll
First option
Second option
PollsUse 2โ€“8 unique options.
Which one? #quiz
Wrong answer
> Correct answer

Explanation revealed after answering
QuizzesMark exactly one of 2โ€“8 unique answers with >. Text after a blank line is revealed after answering.
Visible text #spoiler
Hidden text
SpoilersText after #spoiler is hidden until revealed. Aliases: #tldr, #sensitive, #contentwarning, #cw, and #triggerwarning.
Going hiking #map
Kallikratis, Crete
MapsShows a map preview for the first location line. Alias: #location.
#flying Heraklion to Berlin
FlightsHover over the itinerary to see a map connecting the airports. The next three words form the itinerary: airport, to (or โ†’ or ->), airport. Use single-word airport names or IATA/ICAO codes.
Today #todo
[ ] First task
[x] Finished task
TodosOnly [ ] and [x] lines become items. Click your items to toggle them.
Run this #exec
```js
console.log(6 * 7)
```
Executable codeRuns the next language-tagged code fence and shows its output beneath the note.
Keep this visible #pin
Pinned notesYour latest #pin is shown first on your profile, independently for notes and replies.
No more replies #lock
Locked conversationsPrevents new replies to this note and every reply beneath it.
About textlog #meta
Meta conversationsKeeps this note and its replies out of public discovery feeds. Aliases: #tlog and #textlog.
Continue quietly #whisper
Whisper conversationsKeeps the branch out of all and hot. Participants, mentions, and tag followers can receive it in my feed. It remains public elsewhere.
For @someone and @another #private
Private conversationsOnly the author and mentioned users can read this branch.
Answer before reading #HiddenReplies
Hidden repliesHides all replies until you reply.

Any conversation

profilefollowOld school metallian, hobbyist developer writing things mostly in Rustโ€ฆmostlywrote:
The rho coding harness Iโ€™ve made has come along way and Iโ€™m constantly trying to evolve it, but whenever I go back to pi itโ€™s startling the difference of what a solid computer science background brings.
Overvalued, maybe. Extremely valuable, yes, though.
For sure. We're well past the point of being able to reasonably claim that the tools have no practical use. But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.
Tomorrow no but there will always be the โ€œhopeโ€ which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it wonโ€™t really matter, weโ€™ll be adjusting our lives around it as well so we meet in the middle.
Tesla has been overvalued for over a decade with the promise of โ€œfully autonomous carsโ€ and itโ€™s still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).
That's a different situation. Tesla's a public company whose valuation is driven by the market, which has the right to be irrational. My understanding is that the AI buildout is financed such that the companies need to turn a profit by ~2030 or else they drown in capital costs.
Or maybe the frontier labs become Tesla-like, if it turns out investors just want to believe in the dream and don't care about financials that don't make economic sense. I just don't see that happening, given current sentiment and the overwhelming unpopularity of AI in the West.
Sick makes me calm. My mind goes quiet for some time. I can sit and look at the horizon. Or just contemplate the different shades of white of my ceiling while laying on my bed. I miss the silence of my youth.
profilefollowSoftware engineer (of course) in Londonwrote:
I finished Rejection by Tony Tulathimutte and now I'm struggling to take any other book seriously. I need a pallet cleanser or something before I can move on
Vagyis attรณl mรฉg, hogy trehรกny vagyok, mรฉg mลฑkรถdhetne jobban is az anyagmegmaradรกs tรถrvรฉnye, mint รฉppen errefelรฉ, vagyis errefelรฉ plรกne mลฑkรถdnie kellene, mรฉgsem ezt teszi.
So even though I'm clumsy, the law of conservation of matter could still work better than it does here, or rather, it shouldn't work here, but it doesn't.
OK. I've translated the (correctness) requirements of LeetCode No.22 to Lean, and ask Claude Code to both implement a solution and prove it.
In the first attempt, Opus 4.7 successfully completed it and proved it. However, the solution is to enumerate all possible space and .filter out anything that doesn't qualify my definition, which is obviously not ideal (if cheating is too harsh).
I can't think of a good way to also prevent that kind of solutions and ended up prompting "please don't enumerate and filter". Opus 4.7 then reimplemented and proved the backtracking algorithm.
Maintenance of software/systems was a mere after thought in my experience. Adding new things made careers, bonuses etc. so there was no real incentives for maintenance. The article argues that LLMs will do it. I'll believe if and when I see it.
profilefollowDigital business analyst, mostly on AI. Addicted to apps and domains. Family man.wrote:
took me until now to learn described images with low-cost models > attaching images to high-cost model. silly me. output quality remains, cost lowers.
๐Ÿคธprofilefollowcreative technologist creator of textlogreplied toprofilefollowDigital business analyst, mostly on AI. Addicted to apps and domains. Family man.:
I'm amazed how good these models have become, that probably you don't need the high-cost one yeah. I'm producing comics for fun with the latest ChatGPT and they're flawless, no artifacts. ibb.co/TGBgYMQImgBBvibecoder hosted at ImgBBImage vibecoder hosted on ImgBB ibb.co/dn7rCxhImgBBpnp hosted at ImgBBImage pnp hosted on ImgBB