@BalatrianKid @SamaHoole It's areas with rocks or areas that are hilly so machines can't work there. Like 80%+ of all areable land is not suitable for growing crops.
And the crops we give to them today are not suitable for humans either.
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Simon Lundmark
5.2K posts
Simon Lundmark
@mrlundmark
I build houses, games and ai stuff...
Stockholm Katılım Ocak 2010
246 Takip Edilen351 Takipçiler
@SamaHoole ah yesss, totally how 90% of meat is produced, on 35° sloped pastures, the places where the cows actually fulfil their purpose.
Except sadly most meat production does NOT look like this.
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Activist: "The water usage for beef is obscene. Thousands of litres per kilogram."
Farmer: "That's rainfall."
Activist: "What?"
Farmer: "The figure includes all the rain that falls on the pasture. The cows drink from the stream. The rain falls whether there's a cow here or not."
Activist: "It's still water consumption."
Farmer: "Should I stop the rain falling on my field?"
Activist: "Grow crops instead. More efficient."
Farmer: "This is a 35-degree slope in the Welsh hills. Show me the crop."
Activist: "Technology..."
Farmer: "To make tractors climb mountains?"
Activist: "There must be a solution."
Farmer: "There is. It's called a cow."
Activist: [checks phone]
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@fromdevoid @nafonsopt He did give concrete examples of tools that don't have an equivalent on Linux.
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You should perhaps develop a bit more in Linux before making sweeping statements that are objectively and factually incorrect.
There's nothing special or unique about debugging in any of the top 3 operating systems. Interactive debugging, activity tracing, remote debugging, memory debugging, dump analysers, assembly tracing, record and replay, all these things are staples of modern debugging features everywhere. As are user-friendly features like step back, live memory updates, and whatnot.
It's your option if you want to go that line of argumentation. But it's only revealing of what you don't know and not of what Linux can't do.
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For anybody saying "Just use Linux", you need to realise that Linux is worse than Windows.
Windows has all the bloat, and while you can have Linux without any of that you still don't have tools like Remedybg, RAD Debugger and Super Luminal. Once you have such tools, then Linux is a suitable app development environment.
But _it is still trash_ because of the whole Linux model of you needing to compile everything. The fact that you cannot run an app built using a newer version of glibc is an insane decision.
I shouldn't have to upgrade my whole machine in order to run something built on a newer version.
I shouldn't be worried that an upgrade will break my machine.
I shouldn't be forced to compile things from scratch to work on my machine.
I shouldn't be forced to install N packages, I just want self contained binaries I can just download and run.
I shouldn't be forced to develop with an old distro to have "max glibc compatibility".
I shouldn't have to worry about X11 / Wayland / Window Managers.
I shouldn't have to worry about asking the user to select a folder, display a dialog or show notifications.
Linux is such a huge waste of potential, if they got their shit together they would completely obliterate Windows. I first got into Linux in 2000, and even back then there was this "it will take over Windows any time now!". It's been _26 years_!
The same way I'd pay quite a lot for Windows without any bloat, I'd be willing to pay for a distro that gives me all this.
Nuno Afonso@nafonsopt
Anybody who thinks that it is ok for telemetry to use 100% of your CPU should be fired immediately.
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Simon Lundmark retweetledi
You can also use AI as your personal tutor. Ask all the stupid questions you never could ask in Stack Overflow. There's two paths: You use AI for continuous self improvement and understand what you are doing. Or you use AI to skip your work and never understand.
Rohan Paul@rohanpaul_ai
Anthropic's own study proves Vibe-Coding and AI coding assistants harm skill building. "AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average" Developers learning 1 new Python library scored 17% lower on tests when using AI. Delegating code generation to AI stops you from actually understanding the software. Using AI did not make the programmers statistically faster at completing tasks. Participants wasted time writing prompts instead of actually coding. Scores crashed below 40% when developers let AI write everything. Developers who only asked AI for simple concepts scored above 65%. Managers should not pressure engineers to use AI for endless productivity. Forcing top speed means workers lose the ability to debug systems later. ---- Paper Link – arxiv. org/abs/2601.20245 Paper Title: "How AI Impacts Skill Formation"
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@karlp_rajan @RantaPaRanta @beckmansasikter De är ju bara kalhyggen temporärt. Sen blir de svamp skogar igen.
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@RantaPaRanta @beckmansasikter Att göra kalhyggen av de flesta äldre svampskogar och omvandla dem till granåkrar som har skett där jag bor norr om Stockholm är säkert bra för CO2 nivåerna men är grov miljöförstörelse.Så fort man har hittat ett ny vacker skog tar det bara högst ett par år innan den är förstörd.
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SVT envisas med att slentrianmässigt låtsas att regeringens skogsutredning kritiserats av ”miljö- och klimatskäl”.
Det är svagt och något man i bästa fall bara fått för sig - i värsta fall hittat på.
Konsekvensutredningen visar på en ÖKAD klimatnytta på 8 miljoner ton koldioxid per år bara i tillväxt. Ökad produktion ger dock också produkter som gör nytta, så sannolikt är effekten dubbelt så stor.
Ingen seriös kritik har riktats mot detta, helt enkelt för att det kräver att man ljuger.
Det är visserligen sant att ”miljörörelserna” klagat. Men det beror ju egentligen inte på att något förslag egentligen är dåligt för miljö, utan för att förslagen försämrar deras möjligheter att skapa konflikter, begå brott och använda andras mark för att generera uppmärksamhet som man tjänar pengar på.
Dock inte förvånad av att SVT alltid är sämst.
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@SebAaltonen @Jonathan_Blow 100% this. I've changed from game dev to more or less SaaS via the type of stack you bring up. The business logic is minimal and most of the time extremely simple.
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@Jonathan_Blow Most of the code nowadays is glue code between web frameworks and web libraries, databases and HTML UI. The code that me and you wrote isn't considered normal code today. Most people never use IDEs, debuggers and profilers. I don't mind that AI writes this glue code nowadays...
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This is such a *completely* different reality from where I live, at this point it's just difficult to say anything meaningful about it at all.
x.com/sama/status/20…
Sam Altman@sama
I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.
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@FieldContinuum @SebAaltonen That's why the better solution is to feed it with a good prompt (automated) and also have improved retrieval tools. Which is a part of what getdis.ai does
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@SebAaltonen Structure isn't aware of LLM, but LLM queries, then structure matches, and serves. This is one way. Another way is to use a tiny SLM that contains all of your data. The main issue here is grepping, and semantic search can become too expensive on memory
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Lots of new persistent LLM context database products in development now. They try to fix the biggest LLM weakness, which is that LLM forgets everything. It's like hiring a new contractor every day. They might be professionals, but they have never seen your codebase. LLM can't do as good job as humans if it can't remember your code base and learn.
Sukh Sroay@sukh_saroy
🚨 ByteDance just open sourced a "brain" for AI agents. It's called OpenViking. A database that gives any AI agent real memory, real skills, and real knowledge. Right now, every AI agent forgets everything after each conversation. OpenViking fixes that. The idea is dead simple: store context like files on a computer. → Memories go in viking://user/memories/ → Skills go in viking://agent/skills/ → Resources go in viking://resources/ It also saves you money. Every piece of context has three levels: → L0: A one-liner (~100 tokens) → L1: The important stuff (~2K tokens) → L2: The full thing (only loads when truly needed) Your agent skims first. Digs deeper only when it has to. Here's the wildest part: After every conversation, it automatically learns from what just happened. No retraining. No manual updates. Your agent just gets better on its own. Built by the same ByteDance team running vector search behind TikTok since 2019. pip install openviking 1K+ GitHub stars. 100% Open Source.
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@nakedible @SebAaltonen @ZacariahHeim And cache token costs usually don't pay off unless your usage actually fits the way it works for that model.
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@SebAaltonen @ZacariahHeim Come on... all the providers persist KV-cache for matching prefixes. It is actually cheaper for them. Even Ollama has prompt caching on by default. It's not zero cost, of course, because keeping the cache costs memory.
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This is honestly true, I've worked with multiple companies building harnesses and every single one takes the pov "do not try, the models improve too fast, it's not worth it" or "just copy/use Claude code, we can't do better".
Which is completely wrong and short sighted.
You literally just have to be better than this attitude, and your product will work.
Sebastian Aaltonen@SebAaltonen
The nice thing about LLM tooling being so inefficient (massive amount of repeated communication) is that it's again possible to do 10x faster product if you are willing to profile, analyze and design good architecture. Optimized code will again feel like magic.
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@SebAaltonen @ZacariahHeim Context rot is a real problem, specifically when it gives the LLM more room for interpretations and/or ambiguous information. These super long prompts usually describe the same problem multiple times in different ways, giving the LLM more room for interpretation.
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"Tools improve so fast that it's fine to send 10k lines of repeated prompt to the all the time over your network connection, because the prefix hits token cache and you pay cheaper token price"
This is true, but a total BS argument, since the LLM still needs to do full work and the bloated context still creates attention issues and makes results worse. And you still need to wait more for the LLM to respond. So it costs them almost the same, but they give you a discount as they know it's their fault the system is so badly designed. And people believe it's fine to do that because of the discount.
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Simon Lundmark retweetledi
Normalize Open-Sourcing Servers for Multiplayer Games That Get Shut Down
(Yes there are frictions and problems with this, but if you want your game to live on in history, plan for these problems in advance and minimize them)
x.com/PlayHighguard/…
Highguard@PlayHighguard
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Simon Lundmark retweetledi
Complex UI doesn't have to be slow. You write simple and efficient C code and it can feel magical. Too bad designing efficient architecture and writing efficient code is mostly a lost ancient art nowadays.
Daniel Hooper@DanielcHooper
I wrote a UI library in C that can lay out 95000 items at 60fps. The library is 566 lines of C, and the application-specific ui code is 998 lines. Works on mac, windows, and linux.
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@Jonathan_Blow @mvandevander Multi cookers ftw. Mine boils rice, slow cooks stuff, pressure cooks, steams, sou vides and has an air fryer in it. All at the size roughly of a pressure cooker.
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@mvandevander (They are basically the same size, perspective makes rice cooker look a bit bigger.)
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I have the same rice cooker. Recommend getting one of these dumb boys. Should last forever.
Peter Meijer@PeterMeijer
Insanely practical. Use it several times a week. Instructions: rinse rice, put in cooker, add water, press (only) button. Red light means rice is cooking. Red light goes off means rice is cooked. $59.99
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Simon Lundmark retweetledi
Simon Lundmark retweetledi
I wrote a UI library in C that can lay out 95000 items at 60fps.
The library is 566 lines of C, and the application-specific ui code is 998 lines. Works on mac, windows, and linux.
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@ForrestTheWoods I could let you know when it's released if you're curious. Should be within a week.
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@ForrestTheWoods Hmmm it's not released yet but I'm coding a mud-client in C+LuaJIT. I'd say I'm about 95% of feature complete before first users. I'm more than 10x faster than I was in August. And then I was about 3-5x faster than normal. Rough guesses but I think you get the point.
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Unpopular Opinion: GasTown-esque agent orchestration schemes are procesturbation grift. I’ve yet to see any real project built this way that was actually useful or provided user value.
ClaudeCode is stellar. But it’s best at making good people ~2x faster. There’s no 1000x gains.
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Simon Lundmark retweetledi
Prime's video here is really good. He did the work to demonstrate just how fast you can render in a terminal, even with JS.
If he can redraw the entire screen in 0.1 milliseconds, how is Claude too slow to hit 16ms? How is it more than 160x slower???
youtu.be/LvW1HTSLPEk
YouTube
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Simon Lundmark retweetledi
“12:15am. He wakes me up to let me know our boy has a high blood sugar. He’s incredible. Even when he’s sleeping, he wakes up when he smells a problem with our boy. He then hops onto my bed and wakes me up. He beats the Dexcom CGM by 15-30+ minutes consistently!
Being a diabetic alert dog to a little boy is a lot of work and he does an incredible job. But his ability to continue that work at night when he’s sleeping is NEXT LEVEL INCREDIBLE. “
~Myles Above T1D
Dogs are awesome 🥰
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Simon Lundmark retweetledi
C and C++ are completely different programming languages.
C has concise syntax. It can be learnt in one day, and a typical C code is easy to read. I like C.
C++ has over-complicated syntax, which becomes more complex with every new C++ standard. I hate C++.
Whenever I see "C/C++" phrase, I instantly understand that the author of this phrase doesn't know neither C nor C++.
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@MartinWestergr3 @StateFarewell @vansterpartiet Har du slutat äta kött eller någonting för du verkar ju ha minne som en guldfisk
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Svenska
De superrika staplar bidrag på varandra. Varje månad kan en rik familj få 50 000 kronor för att städa lyxvillan, renovera sommarvillan på rivieran och lägga pengar på hög. Det är dags att de bidrar: utred en miljardärsskatt och inför ett bidragstak. aftonbladet.se/debatt/a/zOrlw……
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