qm – Multiplayer agent harness for work
484 by tosh | 105 comments on Hacker News.
Friday, 31 July 2026
New best story on Hacker News: DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
498 by theanonymousone | 275 comments on Hacker News.
https://ift.tt/A5chveP
498 by theanonymousone | 275 comments on Hacker News.
https://ift.tt/A5chveP
Thursday, 30 July 2026
Wednesday, 29 July 2026
New best story on Hacker News: Show HN: I was tired of opening 2 tabs for every HN link, so I made a userscript
Show HN: I was tired of opening 2 tabs for every HN link, so I made a userscript
408 by twalichiewicz | 114 comments on Hacker News.
HN is great for the links people share, but a big part of the value I get comes from reading the discussion around them. I realized I was always opening the article in one tab and the comments in another, constantly switching back and forth. I figured there was probably a simpler way, so I threw together this userscript to merge the two. 1. Clicking a link from Hacker News opens the article with a side panel containing the discussion. It doesn't require your credentials, is resizable, and is easy to tweak if you want to customize it. 2. If you land on an article that has previously been shared on HN, the script finds the existing discussion and adds a button in the top-right to open the panel. Feedback welcome.
408 by twalichiewicz | 114 comments on Hacker News.
HN is great for the links people share, but a big part of the value I get comes from reading the discussion around them. I realized I was always opening the article in one tab and the comments in another, constantly switching back and forth. I figured there was probably a simpler way, so I threw together this userscript to merge the two. 1. Clicking a link from Hacker News opens the article with a side panel containing the discussion. It doesn't require your credentials, is resizable, and is easy to tweak if you want to customize it. 2. If you land on an article that has previously been shared on HN, the script finds the existing discussion and adds a button in the top-right to open the panel. Feedback welcome.
New best story on Hacker News: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
416 by gitpusher42 | 136 comments on Hacker News.
Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are included. The trick is to keep the shared part of the model and the KV cache in RAM, then stream only the routed experts needed for each token from SSD. An SSD is way slower than RAM, so the runtime uses a small expert cache and bounded parallel `pread`. While those reads are in flight, the GPU runs the shared part of the layer. I ran more than 100 experiments. Most didn’t work. A few got me here. The experiments are described in the GitHub repo. It currently generates 5–6 tok/s on an 8 GB M2 MacBook Air and 31–35 tok/s on an M5 MacBook Pro. I also added an experimental OpenAI-compatible local server. It supports streaming and tool calls, and reuses one prompt prefix from the KV cache. Try it! The Mac app is easy to install. On the first run, it will download 15 GB of weights from Hugging Face. The model is surprisingly capable. I would love any kind of feedback!
416 by gitpusher42 | 136 comments on Hacker News.
Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are included. The trick is to keep the shared part of the model and the KV cache in RAM, then stream only the routed experts needed for each token from SSD. An SSD is way slower than RAM, so the runtime uses a small expert cache and bounded parallel `pread`. While those reads are in flight, the GPU runs the shared part of the layer. I ran more than 100 experiments. Most didn’t work. A few got me here. The experiments are described in the GitHub repo. It currently generates 5–6 tok/s on an 8 GB M2 MacBook Air and 31–35 tok/s on an M5 MacBook Pro. I also added an experimental OpenAI-compatible local server. It supports streaming and tool calls, and reuses one prompt prefix from the KV cache. Try it! The Mac app is easy to install. On the first run, it will download 15 GB of weights from Hugging Face. The model is surprisingly capable. I would love any kind of feedback!
Tuesday, 28 July 2026
New best story on Hacker News: Kimi-K3 Technical Report [pdf]
Kimi-K3 Technical Report [pdf]
380 by vinhnx | 168 comments on Hacker News.
Related: Kimi-K3 on HuggingFace - https://ift.tt/zn2hc5J
380 by vinhnx | 168 comments on Hacker News.
Related: Kimi-K3 on HuggingFace - https://ift.tt/zn2hc5J
Monday, 27 July 2026
New best story on Hacker News: Decker, a platform that builds on the legacy of Hypercard and classic macOS
Decker, a platform that builds on the legacy of Hypercard and classic macOS
372 by tosh | 99 comments on Hacker News.
Also, interview with creator: https://ift.tt/cmEhtNv
372 by tosh | 99 comments on Hacker News.
Also, interview with creator: https://ift.tt/cmEhtNv
Sunday, 26 July 2026
Friday, 24 July 2026
Thursday, 23 July 2026
New best story on Hacker News: Startup founders urge U.S. government not to shut off Chinese open weight AI
Startup founders urge U.S. government not to shut off Chinese open weight AI
608 by theanonymousone | 576 comments on Hacker News.
https://littletech.org/ https://ift.tt/91OzQAs...
608 by theanonymousone | 576 comments on Hacker News.
https://littletech.org/ https://ift.tt/91OzQAs...
Wednesday, 22 July 2026
New best story on Hacker News: Show HN: Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)
Show HN: Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)
475 by starfallg | 102 comments on Hacker News.
Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can edit, present, print and save. Share it via email or via Airdrop and all they need is a browser to edit, present and also do live collab on the slides. Drop it in to Claude or ChatGPT to transform existing pptx files into Bento slides. There is no cloud involved, only an encrypted blind relay to allow for shared editing. The relay doesn't see any of the data. Check it out at https://ift.tt/KS5DY3F which takes you straight to the editor. Go to https://ift.tt/GBN4Oh7 to try out the live guestbook to experience share editing / collab. There is also a gallery with some sample decks on the website - https://bento.page/ All the code is MIT licensed and you can find it here - https://ift.tt/gUX5Of2 . I used reveal.js with several other libraries (including some homegrown ones), and Claude Code.
475 by starfallg | 102 comments on Hacker News.
Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can edit, present, print and save. Share it via email or via Airdrop and all they need is a browser to edit, present and also do live collab on the slides. Drop it in to Claude or ChatGPT to transform existing pptx files into Bento slides. There is no cloud involved, only an encrypted blind relay to allow for shared editing. The relay doesn't see any of the data. Check it out at https://ift.tt/KS5DY3F which takes you straight to the editor. Go to https://ift.tt/GBN4Oh7 to try out the live guestbook to experience share editing / collab. There is also a gallery with some sample decks on the website - https://bento.page/ All the code is MIT licensed and you can find it here - https://ift.tt/gUX5Of2 . I used reveal.js with several other libraries (including some homegrown ones), and Claude Code.
New best story on Hacker News: Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTA
Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTA
562 by piotrgrabowski | 313 comments on Hacker News.
Also: Kimi K3: second only to Fable 5 on AA-Briefcase https://ift.tt/YRU5oJx...
562 by piotrgrabowski | 313 comments on Hacker News.
Also: Kimi K3: second only to Fable 5 on AA-Briefcase https://ift.tt/YRU5oJx...
Tuesday, 21 July 2026
New best story on Hacker News: OpenAI and Hugging Face address security incident during model evaluation
OpenAI and Hugging Face address security incident during model evaluation
593 by mfiguiere | 398 comments on Hacker News.
https://ift.tt/HdOKlC1... See also Security incident disclosure – July 2026 - https://ift.tt/iaRxof8 (9 comments)
593 by mfiguiere | 398 comments on Hacker News.
https://ift.tt/HdOKlC1... See also Security incident disclosure – July 2026 - https://ift.tt/iaRxof8 (9 comments)
New best story on Hacker News: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
508 by logickkk1 | 400 comments on Hacker News.
https://ift.tt/psoElnH...
508 by logickkk1 | 400 comments on Hacker News.
https://ift.tt/psoElnH...
Monday, 20 July 2026
Sunday, 19 July 2026
New best story on Hacker News: Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s
Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s
534 by section33 | 52 comments on Hacker News.
I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but it fades into the background beyond that. Turns out these things are really cool, but absurdly expensive. Ours was installed in 2008 and cost six figures. It's calculating ball speed and trajectory, camera-based pin detection (object detection and trig, on ICs!), runs the fouling, the animations, the pinsetting machine and ball return. Very cool stuff for its age. From the business perspective, my facility only cost me $105k. To forklift-replace the score keeping system runs anywhere between $80-$120k, depending on features, vendor, and unit age. No upgrades or service contracts, mind you, and every feature and customization is a new line item. That's for a 1:1 replacement on a system installed in 2008. Incredible, given how fast the tech world moves. Replacement parts cost a shocking $4000 per pair of lanes. But wait, the bowling machines themselves are 70 years old, so what's this "advanced" system actually doing back there? Actuating a single relay to trigger that big old machine. Everything else is strictly mechanical. Meanwhile I've got a six-figure invoice in my hand. I'm upset. Given the state of open hardware, computer vision, real-time event streaming, and open source running megascale products worldwide, there had to be a way to do this myself. So far I've built an equivalent prototype for about $200 per lane-pair, $400 if you're fancy. ESP32 and ESPNow with an RS485 fallback, reporting to a raspberry pi lane computer that's really just redis and a state machine bolted to an ESP32 gateway for the mesh. Since it's all ESP32, I've got a fistful of spare controllers in a drawer, pre-flashed or waiting to be. All common off-the-shelf hardware: microcontrollers wired to relays, optocouplers, and IR-break-beam sensors, each running slightly different firmware. Writing the firmware and protocol is the actual hard part. It's an ESPNow star-topology mesh: each node emits events from its sensors and accepts commands for its controls, reporting to a gateway node connected to the raspi over UART. From there it's event streaming: RX packets get translated and tossed into redis, commands relay back out to the mesh as needed. RS485 sits underneath as a wired fallback for noisy RF environments. Once the data's in redis, it's familiar middleware/React/websocket/pub-sub stuff. Any React dev can build their own UI and bowling animations. Since it all runs on commodity hardware, I can do legit anything I want as the proprietor, and I own all my data. Repairs take five minutes; I can swap the rig on a lane pair in under 10. I'd bet a house like mine could go from zero to running in an hour or two. We're calling it OpenLaneLink, and I plan to open source the hardware, firmware, and software stack when it's ready. Bowling is fun, and I want to help keep it affordable for alleys like mine. I hate vendor lock-in. I'm not a fan of closed systems, calling support for every hiccup, or paying to "white label" my own equipment. Want to go Tron-themed for a night? Good luck finding a neon neumorphic theme in something bought at the turn of the century. All that bugged me. Sure, bowling equipment is niche, but the open hardware and software landscape is amazing. Thanks for reading! Let me know if anyone's interested in more posts about this bowling nonsense.
534 by section33 | 52 comments on Hacker News.
I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but it fades into the background beyond that. Turns out these things are really cool, but absurdly expensive. Ours was installed in 2008 and cost six figures. It's calculating ball speed and trajectory, camera-based pin detection (object detection and trig, on ICs!), runs the fouling, the animations, the pinsetting machine and ball return. Very cool stuff for its age. From the business perspective, my facility only cost me $105k. To forklift-replace the score keeping system runs anywhere between $80-$120k, depending on features, vendor, and unit age. No upgrades or service contracts, mind you, and every feature and customization is a new line item. That's for a 1:1 replacement on a system installed in 2008. Incredible, given how fast the tech world moves. Replacement parts cost a shocking $4000 per pair of lanes. But wait, the bowling machines themselves are 70 years old, so what's this "advanced" system actually doing back there? Actuating a single relay to trigger that big old machine. Everything else is strictly mechanical. Meanwhile I've got a six-figure invoice in my hand. I'm upset. Given the state of open hardware, computer vision, real-time event streaming, and open source running megascale products worldwide, there had to be a way to do this myself. So far I've built an equivalent prototype for about $200 per lane-pair, $400 if you're fancy. ESP32 and ESPNow with an RS485 fallback, reporting to a raspberry pi lane computer that's really just redis and a state machine bolted to an ESP32 gateway for the mesh. Since it's all ESP32, I've got a fistful of spare controllers in a drawer, pre-flashed or waiting to be. All common off-the-shelf hardware: microcontrollers wired to relays, optocouplers, and IR-break-beam sensors, each running slightly different firmware. Writing the firmware and protocol is the actual hard part. It's an ESPNow star-topology mesh: each node emits events from its sensors and accepts commands for its controls, reporting to a gateway node connected to the raspi over UART. From there it's event streaming: RX packets get translated and tossed into redis, commands relay back out to the mesh as needed. RS485 sits underneath as a wired fallback for noisy RF environments. Once the data's in redis, it's familiar middleware/React/websocket/pub-sub stuff. Any React dev can build their own UI and bowling animations. Since it all runs on commodity hardware, I can do legit anything I want as the proprietor, and I own all my data. Repairs take five minutes; I can swap the rig on a lane pair in under 10. I'd bet a house like mine could go from zero to running in an hour or two. We're calling it OpenLaneLink, and I plan to open source the hardware, firmware, and software stack when it's ready. Bowling is fun, and I want to help keep it affordable for alleys like mine. I hate vendor lock-in. I'm not a fan of closed systems, calling support for every hiccup, or paying to "white label" my own equipment. Want to go Tron-themed for a night? Good luck finding a neon neumorphic theme in something bought at the turn of the century. All that bugged me. Sure, bowling equipment is niche, but the open hardware and software landscape is amazing. Thanks for reading! Let me know if anyone's interested in more posts about this bowling nonsense.
Saturday, 18 July 2026
Friday, 17 July 2026
New best story on Hacker News: Thanks HN for 15 years of support and helping me find my life's work
Thanks HN for 15 years of support and helping me find my life's work
385 by nicholasjbs | 35 comments on Hacker News.
Tomorrow is the 15th anniversary of the first day of the Recurse Center ( https://ift.tt/x36fJqu ) My cofounders and I did YC all the way back in the Summer of 2010, with the initial idea of building "OkCupid for jobs." That idea quickly fizzled, and we spent the better part of a year pivoting between other ideas that also failed. Finally, we made something that we wanted ourselves: a self-directed programming retreat, where people built fun projects, contributed to open source, and helped each other become better programmers. After running two small batches, we launched on HN[1] and got an incredible reception. That post on HN helped us reach beyond our personal networks and meet programmers from around the world, many of whom have since become friends. HN brought us the majority of people who came to our next few batches, and in the years since, HN has remained our #2 source of applicants (after word of mouth). Alas, pg's comment[2] on HN when we launched turned out to be prescient: Running free programming retreats isn't a billion-dollar business, but it's still a worthwhile thing to do, and has positively impacted over 3,000 people so far. And 15 years on I still wake up every day excited to keep working on it. So, thanks HN, for helping make the Recurse Center possible, and for helping me find my life's work. [1] https://ift.tt/TYFNMnh [2] "This sounds like a crazy plan for a startup, I realize, but this is the right sort of crazy. In fact, the way the Hackruiters think about Hacker School is a lot like the way we initially thought about YC: if it doesn't make money, it will at least have been a benevolent thing to do."
385 by nicholasjbs | 35 comments on Hacker News.
Tomorrow is the 15th anniversary of the first day of the Recurse Center ( https://ift.tt/x36fJqu ) My cofounders and I did YC all the way back in the Summer of 2010, with the initial idea of building "OkCupid for jobs." That idea quickly fizzled, and we spent the better part of a year pivoting between other ideas that also failed. Finally, we made something that we wanted ourselves: a self-directed programming retreat, where people built fun projects, contributed to open source, and helped each other become better programmers. After running two small batches, we launched on HN[1] and got an incredible reception. That post on HN helped us reach beyond our personal networks and meet programmers from around the world, many of whom have since become friends. HN brought us the majority of people who came to our next few batches, and in the years since, HN has remained our #2 source of applicants (after word of mouth). Alas, pg's comment[2] on HN when we launched turned out to be prescient: Running free programming retreats isn't a billion-dollar business, but it's still a worthwhile thing to do, and has positively impacted over 3,000 people so far. And 15 years on I still wake up every day excited to keep working on it. So, thanks HN, for helping make the Recurse Center possible, and for helping me find my life's work. [1] https://ift.tt/TYFNMnh [2] "This sounds like a crazy plan for a startup, I realize, but this is the right sort of crazy. In fact, the way the Hackruiters think about Hacker School is a lot like the way we initially thought about YC: if it doesn't make money, it will at least have been a benevolent thing to do."
Thursday, 16 July 2026
Wednesday, 15 July 2026
Tuesday, 14 July 2026
Monday, 13 July 2026
Sunday, 12 July 2026
New best story on Hacker News: Claude Code sends 33k tokens before reading the prompt; OpenCode sends 7k
Claude Code sends 33k tokens before reading the prompt; OpenCode sends 7k
273 by systima | 145 comments on Hacker News.
This started based off of a hunch. We usually use OpenCode, but were 'forced' to use Claude Code for a while due to issues with Meridian. In that time, we saw the usage meter rise much, much more quickly than when using OpenCode. This was the initial anecdotal evidence, but we undertook this small study to collect empirical data: We added logging between the agentic coding tool (Claude Code and OpenCode) and Anthropic's endpoint, and captured all requests (and the returned usage blocks). With one caveat (toward the end of the post) we found unambiguously that Claude Code was far more inefficient in terms of its cache strategy and its harness token usage than OpenCode.
273 by systima | 145 comments on Hacker News.
This started based off of a hunch. We usually use OpenCode, but were 'forced' to use Claude Code for a while due to issues with Meridian. In that time, we saw the usage meter rise much, much more quickly than when using OpenCode. This was the initial anecdotal evidence, but we undertook this small study to collect empirical data: We added logging between the agentic coding tool (Claude Code and OpenCode) and Anthropic's endpoint, and captured all requests (and the returned usage blocks). With one caveat (toward the end of the post) we found unambiguously that Claude Code was far more inefficient in terms of its cache strategy and its harness token usage than OpenCode.
Saturday, 11 July 2026
Friday, 10 July 2026
New best story on Hacker News: Show HN: Getting GLM 5.2 running on my slow computer
Show HN: Getting GLM 5.2 running on my slow computer
707 by vforno | 170 comments on Hacker News.
A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context. How it responds in int4 and whether the quality is maintained or not. Until I got to the point, on my computer with 32GB of RAM, I was able to communicate with GLM 5.2 with times that, of course, aren't high in cold start, but even then, we're talking about 0.1 tok/s, but that wasn't important to me. The important thing was the journey to reach this goal. I just wanted it to work at all costs, even slowly. So I created Colibrì, which was born from a very simple idea, to be honest, but tested in every way, where a 744B Mixture-of-Experts model activates only ~40B parameters per token—and only ~11 GB of those change from token to token (the routed experts). So: The dense part (attention, shared experts, embeddings—~17B params) stays resident in RAM at int4 (~9.9 GB); The 21,504 routed experts (75 MoE layers × 256 experts + the MTP head, ~19 MB each at int4) live on disk (~370 GB) and are streamed on demand, with a per-layer LRU cache, an optional pinned hot-store, and the OS page cache as a free L2. The engine is a single C file (c/glm.c, ~1,300 lines) plus small headers. No BLAS, no Python at runtime, no GPU.No GPU or serious hardware because I don't have that hardware so I can't test it on hardware that is more powerful than my computer.Colibrì is a one-person project, written and tested entirely on a 12-core laptop with 25 GB of RAM — the numbers above are the ceiling of what I can measure at home. Any feedback is welcome! (and if anyone wanted to participate in the project I would be delighted) Repo: https://ift.tt/DdO4kAg
707 by vforno | 170 comments on Hacker News.
A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context. How it responds in int4 and whether the quality is maintained or not. Until I got to the point, on my computer with 32GB of RAM, I was able to communicate with GLM 5.2 with times that, of course, aren't high in cold start, but even then, we're talking about 0.1 tok/s, but that wasn't important to me. The important thing was the journey to reach this goal. I just wanted it to work at all costs, even slowly. So I created Colibrì, which was born from a very simple idea, to be honest, but tested in every way, where a 744B Mixture-of-Experts model activates only ~40B parameters per token—and only ~11 GB of those change from token to token (the routed experts). So: The dense part (attention, shared experts, embeddings—~17B params) stays resident in RAM at int4 (~9.9 GB); The 21,504 routed experts (75 MoE layers × 256 experts + the MTP head, ~19 MB each at int4) live on disk (~370 GB) and are streamed on demand, with a per-layer LRU cache, an optional pinned hot-store, and the OS page cache as a free L2. The engine is a single C file (c/glm.c, ~1,300 lines) plus small headers. No BLAS, no Python at runtime, no GPU.No GPU or serious hardware because I don't have that hardware so I can't test it on hardware that is more powerful than my computer.Colibrì is a one-person project, written and tested entirely on a 12-core laptop with 25 GB of RAM — the numbers above are the ceiling of what I can measure at home. Any feedback is welcome! (and if anyone wanted to participate in the project I would be delighted) Repo: https://ift.tt/DdO4kAg
Thursday, 9 July 2026
New best story on Hacker News: GPT-5.6
GPT-5.6
683 by logickkk1 | 484 comments on Hacker News.
https://ift.tt/Clgd95A https://ift.tt/hckO6TP
683 by logickkk1 | 484 comments on Hacker News.
https://ift.tt/Clgd95A https://ift.tt/hckO6TP
Wednesday, 8 July 2026
Tuesday, 7 July 2026
Monday, 6 July 2026
Sunday, 5 July 2026
Saturday, 4 July 2026
New best story on Hacker News: Explanation of everything you can see in htop/top on Linux (2019)
Explanation of everything you can see in htop/top on Linux (2019)
397 by theanonymousone | 52 comments on Hacker News.
397 by theanonymousone | 52 comments on Hacker News.
Friday, 3 July 2026
Thursday, 2 July 2026
Wednesday, 1 July 2026
New best story on Hacker News: For first time, a cell built from scratch grows and divides
For first time, a cell built from scratch grows and divides
550 by defrost | 184 comments on Hacker News.
https://ift.tt/4m3dy1S
550 by defrost | 184 comments on Hacker News.
https://ift.tt/4m3dy1S
Subscribe to:
Posts (Atom)
-
U.S. Postal Service starts nationwide electric vehicle fleet, buying 9,250 EVs 444 by lxm | 336 comments on Hacker News.
-
Learn Postgres at the Playground – Postgres compiled to WASM running in browser 543 by samwillis | 144 comments on Hacker News.
-
NSA, NIST, and post-quantum crypto: my second lawsuit against the US government 486 by trulyrandom | 143 comments on Hacker News.