Show HN: I built a web tool to see and edit what an AI thinks before it answers
9 by ada1981 | 0 comments on Hacker News.
I run a small AI lab and playground and got super excited about Anthropics paper "Verbalizable Representations Form a Global Workspace in Language Models" ( https://ift.tt/KeStID5 ) It talks about how they use a tool they call a Jacobian Lens to view inside the middle layers of LLM while it's working before it commits to a word (token). I wanted to see if I could get a version of this running on the open models and to my surprise it worked! I ran some experiments with it and build a public facing free tool anyone can use with your own prompts. Ask the model to describe a symbol of "three curving lines of water" and you can watch "ocean", "sea", and "surf" light up a few layers deeper before it settles on "waves". You can also edit the internal state. Insert "fire" into the middle layer of the ocean prompt and the answer shifts to something about heat. For fun / curiosity sake, I also developed way to let the model read its own inner workspace and then decide to suppress or amplify a concept, and run the prompt again. Interesting finding from running it across models. J-lens beats a plain logit lens on some architectures and does nothing on others, and it isn't about size. A 0.5B Qwen reads better than a 2.8B Pythia. Every Pythia I tried gained basically nothing; the Llama and Qwen models gained a lot. https://ift.tt/cH9gsvt This is a 48 hour old project based on emerging research and built on a small model, a small probe set on rented GPUs - but I found it genuinely exciting. The code is open. I also included a page context "Docent" AI agent you can chat with about whatever you see to help understand what is going on. Happy to have folks poke around and break it. I imagine the applications for allowing models to self-reflect / edit internal states can be useful for alignment, confidence, bias detection, etc. and this tool lets you play with the early stages of that.
Hack Nux
Watch the number of websites being hacked today, one by one on a page, increasing in real time.
New Show Hacker News story: Show HN: Sighthound - open-source vulnerability scanner for source code
Show HN: Sighthound - open-source vulnerability scanner for source code
6 by asadeddin | 0 comments on Hacker News.
We're open-sourcing Sighthound today, our rules-based static security scanner. What makes it special is that it's coded in rust and uses tree-sitter as it's AST making it very fast and easily extensible. Why build another scanner in 2026? We wanted to improve some of our detection outcomes but noticed the current open source scanners like Semgrep/Opengrep we're capped by a bunch of adoption limitations such as being written in OCaml, requiring a lot of work to add a language parser, and the rulesets were licensed differently and required paid offerings. It also felt that licensing was moving backwards rather than forward. We wanted something that was very fast, was easily extensible and had a great set of rules that we could use. This led us to using Rust and Tree-sitter since they are both fast and have great community adoption making extending Sighthound natural. We wanted it to focus on source-code vulnerability classes like Sql Injection, and Xss. We haven't yet done any secrets scanning as there are a lot of great options in the market at the moment. Right now, Sighthound supports Python, JS/TS, Java, Go, C#, HTML, PHP and Ruby. We still have a lot of work to do so, we'd love for your feedback, and contributions in however they come from adding new languages, new rules or bug fixes.
6 by asadeddin | 0 comments on Hacker News.
We're open-sourcing Sighthound today, our rules-based static security scanner. What makes it special is that it's coded in rust and uses tree-sitter as it's AST making it very fast and easily extensible. Why build another scanner in 2026? We wanted to improve some of our detection outcomes but noticed the current open source scanners like Semgrep/Opengrep we're capped by a bunch of adoption limitations such as being written in OCaml, requiring a lot of work to add a language parser, and the rulesets were licensed differently and required paid offerings. It also felt that licensing was moving backwards rather than forward. We wanted something that was very fast, was easily extensible and had a great set of rules that we could use. This led us to using Rust and Tree-sitter since they are both fast and have great community adoption making extending Sighthound natural. We wanted it to focus on source-code vulnerability classes like Sql Injection, and Xss. We haven't yet done any secrets scanning as there are a lot of great options in the market at the moment. Right now, Sighthound supports Python, JS/TS, Java, Go, C#, HTML, PHP and Ruby. We still have a lot of work to do so, we'd love for your feedback, and contributions in however they come from adding new languages, new rules or bug fixes.
New ask Hacker News story: Fable July 12th disclaimer disappears from Claude Code
Fable July 12th disclaimer disappears from Claude Code
3 by gorgmah | 3 comments on Hacker News.
The message: > Extended: Fable 5 is included in your weekly limit > Through July 12, you can use up to 50% of your weekly usage limit on Fable 5. If you hit your limit, you can continue on Fable 5 with usage credits. Fable 5 draws down usage faster than Opus 4.8. Run /model and select Fable to use it. Learn more (https://ift.tt/5McFsIJ) seems to have disappeared from claude-code. Anyone else noticed?
3 by gorgmah | 3 comments on Hacker News.
The message: > Extended: Fable 5 is included in your weekly limit > Through July 12, you can use up to 50% of your weekly usage limit on Fable 5. If you hit your limit, you can continue on Fable 5 with usage credits. Fable 5 draws down usage faster than Opus 4.8. Run /model and select Fable to use it. Learn more (https://ift.tt/5McFsIJ) seems to have disappeared from claude-code. Anyone else noticed?
New Show Hacker News story: Show HN: Yamanote.fun – A complete soundscape for Tokyo's Yamanote line
Show HN: Yamanote.fun – A complete soundscape for Tokyo's Yamanote line
7 by madebymagnolia | 0 comments on Hacker News.
After visiting Japan for the first time a decade ago I became completely enamoured with Tokyo's Yamanote Line railway loop. Particularly the sonic experience of it. Like so many others I fell in love with the charming departure melodies and enjoyed discovering experiences like Yamanot.es ( https://ift.tt/bM2FwXy ) here on Hacker News when I returned home. But it wasn't until my second trip to Tokyo that I truly appreciated how much the door chimes, on-board announcements and train noise were contributing to the rich soundscape that I loved. I returned home and found myself playing YouTube videos of Yamanote Line journeys as I worked. The combination of sonics, ambience and softly spoken Japanese was incredibly soothing to me. But these recordings were often incomplete, poorly captured or out of date, and I wanted something far more comprehensive. So I gathered up all of the constituent parts from Reddit threads, YouTube videos and Japanese fan sites, and set about recreating the experience of riding the Yamanote Line in Logic Pro X. Melody, door chimes and announcement, all stitched together under a bed of train noise and ambience. I turned those soundscapes into an Alexa Skill ( https://ift.tt/p8xI3gE... ) in 2019 and began to think about a companion website to share the soundscapes with a wider audience. Seven years later and that website is Yamanote.fun: https://www.yamanote.fun/ . It's a small installable web app that plays the soundscapes like a playlist. All 30 stations and in both directions, since the inner and outer loops use different melodies. You can skip forward or back a station, and there's a scrub bar broken into melody / chime / ambience / announcement so you can jump straight to the bit you want. Each station has its own shareable link (yamanote.fun/jy13-ikebukuro-inner) that unfurls with the right station name and artwork when you share it. It's a progressive web app too, so you can add it to your home screen and it behaves like a native app. There's an option to offline the audio too. Under the hood it's relatively basic stuff: plain HTML, CSS & JS, audio served from Cloudflare R2 and the site hosted on Netlify. I was impressed to see how far I could get with the free tiers of these services. I designed the whole thing in Figma (I'm a Product Designer) and used Claude Code to architect and deliver the polished UI, PWA plumbing, offline caching and share-link infrastructure. I would love feedback, particularly from anyone who's ridden the real thing.
7 by madebymagnolia | 0 comments on Hacker News.
After visiting Japan for the first time a decade ago I became completely enamoured with Tokyo's Yamanote Line railway loop. Particularly the sonic experience of it. Like so many others I fell in love with the charming departure melodies and enjoyed discovering experiences like Yamanot.es ( https://ift.tt/bM2FwXy ) here on Hacker News when I returned home. But it wasn't until my second trip to Tokyo that I truly appreciated how much the door chimes, on-board announcements and train noise were contributing to the rich soundscape that I loved. I returned home and found myself playing YouTube videos of Yamanote Line journeys as I worked. The combination of sonics, ambience and softly spoken Japanese was incredibly soothing to me. But these recordings were often incomplete, poorly captured or out of date, and I wanted something far more comprehensive. So I gathered up all of the constituent parts from Reddit threads, YouTube videos and Japanese fan sites, and set about recreating the experience of riding the Yamanote Line in Logic Pro X. Melody, door chimes and announcement, all stitched together under a bed of train noise and ambience. I turned those soundscapes into an Alexa Skill ( https://ift.tt/p8xI3gE... ) in 2019 and began to think about a companion website to share the soundscapes with a wider audience. Seven years later and that website is Yamanote.fun: https://www.yamanote.fun/ . It's a small installable web app that plays the soundscapes like a playlist. All 30 stations and in both directions, since the inner and outer loops use different melodies. You can skip forward or back a station, and there's a scrub bar broken into melody / chime / ambience / announcement so you can jump straight to the bit you want. Each station has its own shareable link (yamanote.fun/jy13-ikebukuro-inner) that unfurls with the right station name and artwork when you share it. It's a progressive web app too, so you can add it to your home screen and it behaves like a native app. There's an option to offline the audio too. Under the hood it's relatively basic stuff: plain HTML, CSS & JS, audio served from Cloudflare R2 and the site hosted on Netlify. I was impressed to see how far I could get with the free tiers of these services. I designed the whole thing in Figma (I'm a Product Designer) and used Claude Code to architect and deliver the polished UI, PWA plumbing, offline caching and share-link infrastructure. I would love feedback, particularly from anyone who's ridden the real thing.
New ask Hacker News story: Ask HN: Opinionated Agent Setup?
Ask HN: Opinionated Agent Setup?
2 by lookACamel | 0 comments on Hacker News.
I'd like to dip my toes into more fully autonomous long running agentic coding but I'm put off by thinking through the 'right' way to have it all running. How are you running your agents? What do you do for sandboxing and cost control? How do you handle secrets? Etc.
2 by lookACamel | 0 comments on Hacker News.
I'd like to dip my toes into more fully autonomous long running agentic coding but I'm put off by thinking through the 'right' way to have it all running. How are you running your agents? What do you do for sandboxing and cost control? How do you handle secrets? Etc.
New ask Hacker News story: Ask HN: How do you keep documentation up to date with AI generated code?
Ask HN: How do you keep documentation up to date with AI generated code?
3 by ghosts_ | 1 comments on Hacker News.
I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR requests. It's pretty undeniable that AI code is here to stay - so on your teams / companies how are you managing staying up on PR reviews, and documentation?
3 by ghosts_ | 1 comments on Hacker News.
I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR requests. It's pretty undeniable that AI code is here to stay - so on your teams / companies how are you managing staying up on PR reviews, and documentation?