Hacking IKEA Furniture
349 by greenlightning | 261 comments on Hacker News.
Monday, August 31, 2026
Sunday, August 30, 2026
Saturday, August 29, 2026
Judge rules Trump administration’s blacklisting of Anthropic was illegal
Judge rules Trump administration’s blacklisting of Anthropic was illegal
590 by jbegley | 419 comments on Hacker News.
https://ift.tt/wWoCf2L https://ift.tt/SsLP01R...
590 by jbegley | 419 comments on Hacker News.
https://ift.tt/wWoCf2L https://ift.tt/SsLP01R...
U.S. sanctions against the A/I Collective
U.S. sanctions against the A/I Collective
607 by exiguus | 593 comments on Hacker News.
Earlier: US Government designates host of noblogs.org a "global terrorist" - https://ift.tt/HCb41mW - (131 comments) US sanctions Italian hosting provider Autistici Inventati - https://ift.tt/LEXNtZ5 - (219 comments)
607 by exiguus | 593 comments on Hacker News.
Earlier: US Government designates host of noblogs.org a "global terrorist" - https://ift.tt/HCb41mW - (131 comments) US sanctions Italian hosting provider Autistici Inventati - https://ift.tt/LEXNtZ5 - (219 comments)
Friday, August 28, 2026
507 Mechanical Movements
507 Mechanical Movements
635 by helloplanets | 76 comments on Hacker News.
Book (1868): https://ift.tt/US2TqlV
635 by helloplanets | 76 comments on Hacker News.
Book (1868): https://ift.tt/US2TqlV
Thursday, August 27, 2026
Nvidia agrees to acquire Hugging Face for $13B
Nvidia agrees to acquire Hugging Face for $13B
669 by mfiguiere | 278 comments on Hacker News.
https://ift.tt/RIHdZif... (paywalled) https://ift.tt/6JSQjKI...
669 by mfiguiere | 278 comments on Hacker News.
https://ift.tt/RIHdZif... (paywalled) https://ift.tt/6JSQjKI...
Wednesday, August 26, 2026
OpenAI Jalapeño: Better than Nvidia Blackwell
OpenAI Jalapeño: Better than Nvidia Blackwell
564 by bmulholland | 360 comments on Hacker News.
https://ift.tt/8l2NoiM... , https://ift.tt/fekngZV
564 by bmulholland | 360 comments on Hacker News.
https://ift.tt/8l2NoiM... , https://ift.tt/fekngZV
Tuesday, August 25, 2026
Monday, August 24, 2026
Sunday, August 23, 2026
Rust Glancer: Rust LSP using 100x less RAM
Rust Glancer: Rust LSP using 100x less RAM
413 by matklad | 104 comments on Hacker News.
https://matklad.github.io/2026/08/21/rust-glancer.html
413 by matklad | 104 comments on Hacker News.
https://matklad.github.io/2026/08/21/rust-glancer.html
Saturday, August 22, 2026
Friday, August 21, 2026
Malicious Rust crate Arrayref runs a build-time payload
Malicious Rust crate Arrayref runs a build-time payload
536 by abhisek | 483 comments on Hacker News.
https://ift.tt/UiduDI5... https://ift.tt/h8o0OtP
536 by abhisek | 483 comments on Hacker News.
https://ift.tt/UiduDI5... https://ift.tt/h8o0OtP
Show HN: I trained a 125M model to autocomplete piano on-device
Show HN: I trained a 125M model to autocomplete piano on-device
564 by simedw | 113 comments on Hacker News.
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
564 by simedw | 113 comments on Hacker News.
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
Thursday, August 20, 2026
Wednesday, August 19, 2026
Tuesday, August 18, 2026
Monday, August 17, 2026
Tell HN: Cloudflare silently injects its analytics when you switch nameservers
Tell HN: Cloudflare silently injects its analytics when you switch nameservers
346 by stagas | 93 comments on Hacker News.
A few hours ago I switched my nameservers to Cloudflare in order to enable R2 bucket serving through my own subdomain, and I found out that it silently had injected a JS analytics snippet in my HTML-only JS-free site textlog.cc — I had to go to the Analytics dashboard, Add the site to the analytics and then disable the snippet. I find this approach entirely invasive, you should opt-in to features like that not have to opt-out. Just a warning out there to folks who might not be aware of this.
346 by stagas | 93 comments on Hacker News.
A few hours ago I switched my nameservers to Cloudflare in order to enable R2 bucket serving through my own subdomain, and I found out that it silently had injected a JS analytics snippet in my HTML-only JS-free site textlog.cc — I had to go to the Analytics dashboard, Add the site to the analytics and then disable the snippet. I find this approach entirely invasive, you should opt-in to features like that not have to opt-out. Just a warning out there to folks who might not be aware of this.
Sunday, August 16, 2026
Saturday, August 15, 2026
Friday, August 14, 2026
Thursday, August 13, 2026
uBlock Origin Is Giving Up the Fight to Keep Ads Off Facebook
uBlock Origin Is Giving Up the Fight to Keep Ads Off Facebook
583 by Markoff | 697 comments on Hacker News.
https://ift.tt/j7N6BI5... https://ift.tt/5bEocsr...
583 by Markoff | 697 comments on Hacker News.
https://ift.tt/j7N6BI5... https://ift.tt/5bEocsr...
Wednesday, August 12, 2026
OpenAI’s head of ethics leaves less than a year after joining
OpenAI’s head of ethics leaves less than a year after joining
456 by ilamont | 432 comments on Hacker News.
https://ift.tt/UZwReIk https://ift.tt/K2Sa8vr...
456 by ilamont | 432 comments on Hacker News.
https://ift.tt/UZwReIk https://ift.tt/K2Sa8vr...
Tuesday, August 11, 2026
Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots
Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots
430 by HenryNdubuaku | 155 comments on Hacker News.
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges 300-700 on sub-$200 phones such as the Samsung A-Series. On the tool call and mobile device use benchmarks, Needle 2 trades wins with closest small models like LFM2.5 230M and Apple Foundation Model, at 5x to 70x smaller, both at f16 vs Needle 2 at 2bit. Needle is based on Simple Attention Networks from our paper ( https://ift.tt/EkNboK5 ). Edge AI has lately meant Macs and PCs, but that is just 1.5 billion of over 21 billion connected IoT devices in the world today, and in emerging markets most phones ship under $200, no NPU, cheap GPUs. These include budget phones, Raspberry Pis, microcontrollers, wearables, small robots like Reachy Mini, and connected home devices. A conventional transformer of Needle's width and depth spends 164 MFLOPs per token, and even one squeezed down to Needle's parameter count spends 87, Needle spends 70. Even on a high-end phone, an always-on assistant lives inside a power budget; every MFLOP is milliwatt-hours, and Needle spends 7x to 85x fewer of them per token than the smallest performant LLMs. More about the architecture in the link. When we structure intelligence for consumer devices as functions with typed parameters, the only hard part is mapping a messy sentence onto them; which function, with which values. Our research found that when framed that way, the problem needs no world knowledge and no open-ended prose, which is why 45M parameters suffice. Needle 2 expands to structured extraction where the schema can be passed in-place of tools and the model returns structured output. You can use Needle as a text-classification model with an enum field, as a summarization model by providing a schema that extracts key fields, everything but free-range decode. Every product has its own tool vocabulary and fine-tuning needle helps it achieve frontier-level performance on custom tasks, so using the python package ( https://ift.tt/1YLSei4 ), Needle can be fine-tuned Needle on a Mac/PC in minutes to a few hours, with automated data-generation pipeline, just pass a couple samples. Nonetheless, every response carries a learned confidence score based our Cactus Hybrid technique. If above your threshold, act, below it, escalate to the cloud or bigger model. Combining Needle 2 with a private DeepSeek-v4-Flash deployment works particularly well for enterprise-level tasks at barely any cost, we can help with this setup. We have put a lot of thoughts into Needle 2 but might still be missing quite a lot, please use the playground in the provided link to test Needle and share your thoughts, always appreciated!
430 by HenryNdubuaku | 155 comments on Hacker News.
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges 300-700 on sub-$200 phones such as the Samsung A-Series. On the tool call and mobile device use benchmarks, Needle 2 trades wins with closest small models like LFM2.5 230M and Apple Foundation Model, at 5x to 70x smaller, both at f16 vs Needle 2 at 2bit. Needle is based on Simple Attention Networks from our paper ( https://ift.tt/EkNboK5 ). Edge AI has lately meant Macs and PCs, but that is just 1.5 billion of over 21 billion connected IoT devices in the world today, and in emerging markets most phones ship under $200, no NPU, cheap GPUs. These include budget phones, Raspberry Pis, microcontrollers, wearables, small robots like Reachy Mini, and connected home devices. A conventional transformer of Needle's width and depth spends 164 MFLOPs per token, and even one squeezed down to Needle's parameter count spends 87, Needle spends 70. Even on a high-end phone, an always-on assistant lives inside a power budget; every MFLOP is milliwatt-hours, and Needle spends 7x to 85x fewer of them per token than the smallest performant LLMs. More about the architecture in the link. When we structure intelligence for consumer devices as functions with typed parameters, the only hard part is mapping a messy sentence onto them; which function, with which values. Our research found that when framed that way, the problem needs no world knowledge and no open-ended prose, which is why 45M parameters suffice. Needle 2 expands to structured extraction where the schema can be passed in-place of tools and the model returns structured output. You can use Needle as a text-classification model with an enum field, as a summarization model by providing a schema that extracts key fields, everything but free-range decode. Every product has its own tool vocabulary and fine-tuning needle helps it achieve frontier-level performance on custom tasks, so using the python package ( https://ift.tt/1YLSei4 ), Needle can be fine-tuned Needle on a Mac/PC in minutes to a few hours, with automated data-generation pipeline, just pass a couple samples. Nonetheless, every response carries a learned confidence score based our Cactus Hybrid technique. If above your threshold, act, below it, escalate to the cloud or bigger model. Combining Needle 2 with a private DeepSeek-v4-Flash deployment works particularly well for enterprise-level tasks at barely any cost, we can help with this setup. We have put a lot of thoughts into Needle 2 but might still be missing quite a lot, please use the playground in the provided link to test Needle and share your thoughts, always appreciated!
Monday, August 10, 2026
Everything you do is being recorded
Everything you do is being recorded
342 by ike_usawa | 290 comments on Hacker News.
https://ift.tt/Dhd05rW... https://ift.tt/hFM8NEr
342 by ike_usawa | 290 comments on Hacker News.
https://ift.tt/Dhd05rW... https://ift.tt/hFM8NEr
Sunday, August 9, 2026
Saturday, August 8, 2026
Friday, August 7, 2026
New Mexico court orders Meta to pay $567m over harms to children’s mental health
New Mexico court orders Meta to pay $567m over harms to children’s mental health
504 by boplicity | 276 comments on Hacker News.
https://ift.tt/PBKGaX0... https://ift.tt/va0DcQE... https://ift.tt/QUEHCJy... https://ift.tt/omwJY2E https://ift.tt/DkI0Ked...
504 by boplicity | 276 comments on Hacker News.
https://ift.tt/PBKGaX0... https://ift.tt/va0DcQE... https://ift.tt/QUEHCJy... https://ift.tt/omwJY2E https://ift.tt/DkI0Ked...
Thursday, August 6, 2026
AMD acquires Taalas to boost inference performance by etching models in silicon
AMD acquires Taalas to boost inference performance by etching models in silicon
440 by itvision | 340 comments on Hacker News.
https://ift.tt/lY6rgCa... https://chatjimmy.ai/
440 by itvision | 340 comments on Hacker News.
https://ift.tt/lY6rgCa... https://chatjimmy.ai/
Wednesday, August 5, 2026
Show HN: Simple algorithm and color space to generate diverse skin tones
Show HN: Simple algorithm and color space to generate diverse skin tones
511 by automatoney | 92 comments on Hacker News.
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for others as I have found it! There's lots of room for improvements (see the Future Work section), but I'm really happy with how it turned out.
511 by automatoney | 92 comments on Hacker News.
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for others as I have found it! There's lots of room for improvements (see the Future Work section), but I'm really happy with how it turned out.
Tuesday, August 4, 2026
Monday, August 3, 2026
Sunday, August 2, 2026
Saturday, August 1, 2026
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