Dataset is curated from various fix commits, PrimeVul samples, and some grey-area licensed stuff that I don't want to divulge publicly. Resulting model is going to be open-weight so the community will benefit from the output.
Kenneth Hamilton PRO
ZennyKenny
AI & ML interests
✌️ Certified vibe coder
Recent Activity
repliedto their post about 17 hours ago
Trying to train a locally deployable model on a LoRa adapter that's just wicked strong at running sec evals on PRs because these general purpose code review solutions always seem to miss glaring security stuff.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution. repliedto their post about 23 hours ago
Trying to train a locally deployable model on a LoRa adapter that's just wicked strong at running sec evals on PRs because these general purpose code review solutions always seem to miss glaring security stuff.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution. posted an update 1 day ago
Trying to train a locally deployable model on a LoRa adapter that's just wicked strong at running sec evals on PRs because these general purpose code review solutions always seem to miss glaring security stuff.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution.Organizations
replied to their post about 17 hours ago
replied to their post about 23 hours ago
Yeah usually the fixed versions of whatever functions just remove the vulnerable code, so it's logical why it's happened like this, it's just kind of funny that it selects so heavily for less code.
posted an update 1 day ago
Post
388
Trying to train a locally deployable model on a LoRa adapter that's just wicked strong at running sec evals on PRs because these general purpose code review solutions always seem to miss glaring security stuff.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution.
The clear finding from the v1 training run was that "less code = more secure" lmfao.
Model basically scores functions better the less stuff they do. It's right I guess in a kind of demented way. Pack it up boys, we've got the solution.
- 4 replies
posted an update 17 days ago
Post
111
Dropped an MCP server for managing your Yandex inbox and calendar today: https://github.com/kghamilton89/yandex-360-mcp
liked 2
models 4 months ago
🚩 Report: Spam
1
#19 opened 6 months ago
by 
ccocks-deca
updated a
collection 7 months ago
replied to mike-ravkine's post 7 months ago
Well said, thank you. It was only a matter of time before benchmaxxing became a meme.
replied to mike-ravkine's post 7 months ago
Maybe it's not cheating in the purest sense of the word, but I think the more important question is "will this model generate responses that are truly more relevant and helpful or will it simply score better on benchmarks?"
Appreciate that most people (including myself) use benchmarks as quick-glance heuristics when assessing a new model, but the proof of the pudding is in the eating. At the end of the day, I don't care what the model has scored on any benchmarks if it can't generate useful knowledge and content.
updated a
collection 7 months ago
replied to their post 8 months ago
I already pay for Railway compute and the addition of this server is trivial in usage.
updated a
model 8 months ago
reacted to AINovice2005's post with 🔥 8 months ago
Post
3,519
In celebration of the new storage graph feature on the Hub, here's mine 😊 :
Post inspired by @ZennyKenny
Post inspired by @ZennyKenny
posted an update 8 months ago
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🤔 So we're supposed to post our repo storage graphs now right?
posted an update 8 months ago
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212
One of my New Year's resolutions was to journal more. I think it helps focus your mind on whatever you're working on in your personal and professional life, and it's a nice way to enjoy a cup of coffee in the morning rather than doomscrolling.
My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.
Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal
I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.
Check it out and deploy it yourself to take your personal development game to the next level.
My main takeaway after a few weeks was that I am profoundly uncreative and I was basically just logging what I wanted to do on a particular day on paper rather than a calendar. So it was like a less-helpful, analog version of Notion.
Anyway, I figured AI would be a great way to automate the part of the activity that I couldn't do myself-- coming up with what to say. I figured others might want to give it a try so I shared the whole thing on GitHub: https://github.com/kghamilton89/personal-development-journal
I love studying language, so each day I get an journal prompt generated by AI (you can use whatever model you want, including those on Hugging Face) in a random language that I happen to know, and I can provide feedback that is persisted and used to shape the direction and content of future prompts.
Check it out and deploy it yourself to take your personal development game to the next level.
- 2 replies
updated a
collection 8 months ago
replied to their post 9 months ago
HF seems to be better at it than other platforms as well, say Reddit.
updated a
Space 9 months ago
posted an update 9 months ago
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880
👉 Like everyone else, I've been blown away by the possibilities unlocked by OpenClaw (I've got an agent running locally and in a Railway pod that's always alive so I can automate as I ride the metro).
One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator
😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.
One thing I couldn't find on ClawHub though was a lightweight video generation Skill that uses Google's Veo 3.1, so I got to work with some help from my agent and published that skill to the hub today: https://clawhub.ai/kghamilton89/veo-video-generator
😎 Now your agent can generate SOTA audio/video as you fervently message it from Telegram Messenger demanding minor adjustments. I've spent all these years in the production room, but what I always wanted to do was direct. Feels good man.