Show HN: Offline Flock Navigation
2 by arkwin | 0 comments on Hacker News.
Hello HN! A little side project I have been working on a fork of OsmAnd with offline ALPR/Flock camera avoidance routing. Also, took the time to at least create a paper on the project as well. https://ift.tt/sbIw2gU... And yes, I did use AI to help me with this. All of it open sourced and available for use. Though I don't intend to build Apple version of this, or submit it to the play store. I am looking for feedback! Thank you all and have great weekend. :)
Hack Nux
Watch the number of websites being hacked today, one by one on a page, increasing in real time.
New ask Hacker News story: Time for OpenAI and Anthropic to take a leaf from Microsoft's book?
Time for OpenAI and Anthropic to take a leaf from Microsoft's book?
2 by chrisjj | 1 comments on Hacker News.
Dear Sam & Dario, please add "AI is for entertainment purposes only" to all output, including your PR announcements of the latest impressive security achievements. Thank you.
2 by chrisjj | 1 comments on Hacker News.
Dear Sam & Dario, please add "AI is for entertainment purposes only" to all output, including your PR announcements of the latest impressive security achievements. Thank you.
New Show Hacker News story: Show HN: Play SNES, gba, in your terminal, even in tmux
Show HN: Play SNES, gba, in your terminal, even in tmux
2 by jhickner | 0 comments on Hacker News.
rom is a ~5k-line C libretro frontend that plays games in the terminal. It renders native pixels with the kitty graphics protocol in Ghostty or kitty, inline! even in tmux! Nine platforms: SNES, NES, GB/GBC, GBA, Genesis, PC Engine, N64, Doom/Heretic/Hexen, Wolfenstein. macOS and Linux, MIT. https://ift.tt/Oh4B375
2 by jhickner | 0 comments on Hacker News.
rom is a ~5k-line C libretro frontend that plays games in the terminal. It renders native pixels with the kitty graphics protocol in Ghostty or kitty, inline! even in tmux! Nine platforms: SNES, NES, GB/GBC, GBA, Genesis, PC Engine, N64, Doom/Heretic/Hexen, Wolfenstein. macOS and Linux, MIT. https://ift.tt/Oh4B375
New Show Hacker News story: Show HN: Local text, image, video, music and 3D from one CLI, no Python
Show HN: Local text, image, video, music and 3D from one CLI, no Python
9 by sawfwair | 1 comments on Hacker News.
Hi HN! I'm the author of mere.run a local first inference runtime built around an installable CLI. I believe that whenever possible we should use the stuff we already own (like our Mac laptops, decent machines gathering dust, our gaming PC) and the limited electrical power we have easy access to, like the socket in the wall next to most of us. We shouldn't have to send our data to the cloud hoping some T&C will prevent it from being used in a way that we'd regret. Most of the local AI solutions are technical, involved, and land a curious body in some package hell. People are optimizing for one system and not another, the fun stuff is on PC if you own a Mac, and on Mac if you own a PC. So mere.run was my choice to begin to patch many of those things that I saw as problematic. Text, chat, code, image gen, speech tts+asr, vision (caption/ground/segment/track/pose/depth/face/OCR/etc), music, sfx, video, 2d->3d, persistent worlds, lora training plus a few more things I am probably forgetting all in one place to work the way you work, with a scriptable CLI, an openAI compatible serve, and optionally a native app on Mac. It's native swift on MLX, no python, PyTorch, diffusers for inference. For text lanes with GGUF it uses llama.cpp and for a/v muxing its FFmpeg. Most upstream releases that don't have an MLX variant are converted offline and hosted on huggingface. All release packages are built for arm64 (Mac & Cuda) plus x86. They're signed and ship SHA256SUMS. No windows at the moment. > mere.run model capabilities --recommended # That inspects your machine before recommending to prevent pulling models that don't fit your spec There's a workflow layer with typed, validated graphs so you can create immutable job bundles and run them locally, over an ssh executor or using a fleet of machines and the relay service. (It's hosted at relay.mere.run and is currently invite only while I test, but its also totally open MIT so you can set it up yourself) The whole runtime is MIT along with the companion packages, models carry their own licenses and the CLI makes it clear when something has specific terms. Once you've pulled the models, everything works fully offline. I've been working on a (hopefully) comprehensive docs -> https://docs.mere.run No account, no API key, no analytics or phone home. Any network calls in the source are all at your request only like huggingface.co (models), GitHub.com (Pi install). I'm just getting started, but it's finally at the point I'd love feedback, contributions, and just folks to generally find it useful. I hope it helps you make things and explore what's possible with the stuff you've already got in your home. Would love any thoughts, questions, ideas and maybe a star if you do that kinda thing. -Kyle
9 by sawfwair | 1 comments on Hacker News.
Hi HN! I'm the author of mere.run a local first inference runtime built around an installable CLI. I believe that whenever possible we should use the stuff we already own (like our Mac laptops, decent machines gathering dust, our gaming PC) and the limited electrical power we have easy access to, like the socket in the wall next to most of us. We shouldn't have to send our data to the cloud hoping some T&C will prevent it from being used in a way that we'd regret. Most of the local AI solutions are technical, involved, and land a curious body in some package hell. People are optimizing for one system and not another, the fun stuff is on PC if you own a Mac, and on Mac if you own a PC. So mere.run was my choice to begin to patch many of those things that I saw as problematic. Text, chat, code, image gen, speech tts+asr, vision (caption/ground/segment/track/pose/depth/face/OCR/etc), music, sfx, video, 2d->3d, persistent worlds, lora training plus a few more things I am probably forgetting all in one place to work the way you work, with a scriptable CLI, an openAI compatible serve, and optionally a native app on Mac. It's native swift on MLX, no python, PyTorch, diffusers for inference. For text lanes with GGUF it uses llama.cpp and for a/v muxing its FFmpeg. Most upstream releases that don't have an MLX variant are converted offline and hosted on huggingface. All release packages are built for arm64 (Mac & Cuda) plus x86. They're signed and ship SHA256SUMS. No windows at the moment. > mere.run model capabilities --recommended # That inspects your machine before recommending to prevent pulling models that don't fit your spec There's a workflow layer with typed, validated graphs so you can create immutable job bundles and run them locally, over an ssh executor or using a fleet of machines and the relay service. (It's hosted at relay.mere.run and is currently invite only while I test, but its also totally open MIT so you can set it up yourself) The whole runtime is MIT along with the companion packages, models carry their own licenses and the CLI makes it clear when something has specific terms. Once you've pulled the models, everything works fully offline. I've been working on a (hopefully) comprehensive docs -> https://docs.mere.run No account, no API key, no analytics or phone home. Any network calls in the source are all at your request only like huggingface.co (models), GitHub.com (Pi install). I'm just getting started, but it's finally at the point I'd love feedback, contributions, and just folks to generally find it useful. I hope it helps you make things and explore what's possible with the stuff you've already got in your home. Would love any thoughts, questions, ideas and maybe a star if you do that kinda thing. -Kyle
New ask Hacker News story: Ask HN: What former "must-have" AI agent skills have you deprecated?
Ask HN: What former "must-have" AI agent skills have you deprecated?
2 by lpjstack | 0 comments on Hacker News.
As LLMs get stronger, I'm pruning my agent skill library. I've removed multi-step workflows (like superpowers) and web wrappers (like Agent Browse) that base models now handle natively, which speeds up context and improves performance. Are you doing similar cleanup? What former go-to tools or skills have you recently ditched?
2 by lpjstack | 0 comments on Hacker News.
As LLMs get stronger, I'm pruning my agent skill library. I've removed multi-step workflows (like superpowers) and web wrappers (like Agent Browse) that base models now handle natively, which speeds up context and improves performance. Are you doing similar cleanup? What former go-to tools or skills have you recently ditched?
New ask Hacker News story: YC startup offers interviews to people who get their name permanently tattooed
YC startup offers interviews to people who get their name permanently tattooed
6 by codexon | 4 comments on Hacker News.
Thought this was interesting. Clever recruitment tactic or too much? linkedin.com/posts/jordan-zietz_7-people-left-our-yc-afterparty-with-permanent-activity-7487979543744614401-IFU-
6 by codexon | 4 comments on Hacker News.
Thought this was interesting. Clever recruitment tactic or too much? linkedin.com/posts/jordan-zietz_7-people-left-our-yc-afterparty-with-permanent-activity-7487979543744614401-IFU-