Labor "power" is paid, thus hours put in mostly. Hard to compare with AI. Simpler and fairer (for a start): Tax capital gains as soon as assets are used as collateral for loans.
Readit Newsmitjam commented on If AI replaces workers, should it also pay taxes? english.elpais.com/techno... · Posted by u/PaulHoule
mitjam commented on BehindTheMedspeak: A Spinal Tap bookofjoe2.blogspot.com/2... · Posted by u/surprisetalk
Love that you had a good experience. I perform these procedures semi-regularly, and in some cases they can be painful (even with lidocaine). Most people tolerate them very well though, I usually compare it to the pain of an IV stick, which most people have already tolerated, but which can also cause some people a surprising amount of distress.
I had one and they Let me walk the next day to other diagnostics, had about 6 months severe headaches afterwards which only were bearable when lying down flat. Glad it went away, finally. If I remember correcly you should stay in bed for 48h after the procedure.
mitjam commented on Principles of Slack Maximalism aelerinya.substack.com/p/... · Posted by u/surprisetalk
Reads like principles of deep work minimalism
Yet more evidence of the bubble burst being imminent. If any of these companies really had some almost-AGI system internally, they wouldn’t be spending any effort making f’ing Excel plugins. Or at the very least, they’d be writing their own Excel because AI is so amazing at coding, right?
Excel is living business knowlege stuck in private SharePoint Sites, tappimg into it might kick off a nice data flywheel not to speak of the nice TAM.
George Hotz said there's 5 tiers of AI systems, Tier 1 - Data centers, Tier 2 - fabs, Tier 3 - chip makers, Tier 4 - frontier labs, Tier 5 - Model wrappers. He said Tier 4 is going to eat all the value of Tier 5, and that Tier 5 is worthless. It's looking like that's going to be the case
Andrew Ng argumented in 2023 (https://www.youtube.com/watch?v=5p248yoa3oE ) that the underlying tiers depend on the app tier‘s success.
That OpenAI is now apparantly striving to become the next big app layer company could hint at George Hotz being right but only if the bets work out. I‘m glad that there is competition on the frontier labs tier.
Tough day to be an AI Excel add-in startup
Ask Rosie is actually shutting down right now: https://www.askrosie.ai/
I would love to learn more about their challenges as I have been working on an Excel AI add-in for quite some time and have followed Ask Rosie from almost their start.
That they now gone through the whole cycle worries me I‘m too slow as a solo building on the side in these fast paced times.
mitjam commented on Tell HN: OpenAI now requires ID verification and won't refund API credits · Posted by u/retube
> There is a recent Stanford study showing most US startups are using less expensive Chinese models
link ?
Idk if this is the reference but it’s in the same direction:
„ These days, when entrepreneurs pitch at Andreessen Horowitz (a16z), a major Silicon Valley venture-capital firm, there’s a high chance their startups are running on Chinese models. “I’d say there’s an 80% chance they’re using a Chinese open-source model,” notes Martin Casado, a partner at a16z.“ —- https://ixbroker.com/blog/china-is-quietly-overtaking-americ...
mitjam commented on Tell HN: OpenAI now requires ID verification and won't refund API credits · Posted by u/retube
I am mostly retired but I am thinking of restarting a solo products mini-company next year. I have been looking at much less expensive options like Alibaba Cloud, GLM, Kimi K2, etc. There is a recent Stanford study showing most US startups are using less expensive Chinese models, but I think usually hosted in the US.
For now I am happy enough with Gemini and GPT-5 because my usage is so lite that anything is cheap. For many engineering use cases, Gemini-2.5-flash-lite works well enough.
How do you use GLM? With codex —oss? Or, just ‘raw’ with no agent-wrapping coding environment?
Hope you‘ll share your story if you start. Love your book on langchain from iirc 2y ago, it got me going.
Truly one of the biggest wealth transfers in history. From well meaning developers straight into the pockets of corporations.
https://web.archive.org/web/20120620103603/http://zedshaw.co...
> Why I (A/L)GPL
> Open source to open source, corporation to corporation.
> If you do open source, you’re my hero and I support you.
> If you’re a corporation, let’s talk business.
> I want people to appreciate the work I’ve done and the value of what I’ve made.
> Not pass on by waving “sucker” as they drive their fancy cars.
https://zedshaw.com/blog/2022-02-05-the-beggar-barons/
> To the Beggar Baron, open source's value is its free donation.
> You would never stand on the street and offer to buy the wallets off people who are about to donate a few dollars to you. That'd be stupid.
> They're giving you their money for free. Take it and run.
Always slap AGPLv3 onto everything you make. Always choose the most copyleft license imaginable. Permissive licenses yield zero leverage. It's either AGPLv3 or all rights reserved. Nothing else makes sense.
Special booster: New product liability in EU for software. If your software is in any way related to commercial activity (eg. consulting or having been created as part of paid work), yproduct liability kicks in.
Best but not 100% secure way to protect yourself is to donate the software to a well meaning non profit. If you control the non-profit, the barrier might not hold, if you don't control it, it's not your software anymore.
Update: Thinking of it: AGPL might at least offer some protection as many integrators shy away from using software with this license.
mitjam commented on Just talk to it – A way of agentic engineering steipete.me/posts/just-ta... · Posted by u/freediver
I'd love to be able to watch people work, who say that they're sucessful with these tools. If there are any devs live streaming software development on Twitch, or just making screen casts (without too many cuts) of how they use these tools in day-to-day work, I'd love to see it.
I've watched quite a few and got many good ideas, but it's taking a lot of time that's sometimes better spent with "deliberate practice". I learned more and faster by attending courses by people I already follow and love taking advice from. Earning money with it gives them the time needed to structure and prepare the material.
For example, I'm currently taking the "Elite AI Assisted Coding" (https://maven.com/kentro/context-engineering-for-coding) course by Eleanor Berger and Isaac Flath and learned a lot from their concise presentations and demos and challenging homework assignments which certainly took a long time to prepare.