ramoz

10 ms·

121.
by ramoz 6mo ago
From what I've seen none of this is that complex, one could simply 'draw a circle around your house' and get all the "anonymized" device pings and just trace those.
122.
by ramoz 6mo ago
Fair. There are users who simply just use the diff and integrated GitHub view/comment/approval-sync experience for local reviews of PRs. But it's _marketed_ as an integrated agent experience.
123.
by ramoz 6mo ago
Plannotator, open source runs locally, has code review: https://github.com/backnotprop/plannotator and a code tour feature about to ship: https://x.com/backnotprop/status/2043759492744270027&#
124.
by ramoz 6mo ago
> So, cyber security of tomorrow will not be like proof of work in the sense of "more GPU wins"; instead, better models, and faster access to such models, will win tomato, tomato
125.
by ramoz 6mo ago
Inference providers don't claim private inference. However, they must uphold certain security and legal compliances. You have no guarantees over any random connected laptop connected across the world.
126.
by ramoz 6mo ago
I'm not arguing anything. This is how it works. There is no but. Protection here is conditional, best-effort. There are no true guarantees, nor actual verifiability.
127.
by ramoz 6mo ago
Unfortunately, verifiable privacy is not physically possible on MacBooks of today. Don't let a nice presentation fool you. Apple Silicon has a Secure Enclave, but not a public SGX/TDX/SEV-style enclave for arbitrary code, so
128.
by ramoz 6mo ago
Macs do not have an accessible hardware TEE. Macs have secure enclaves.
129.
by ramoz 6mo ago
I retract that. I think what I meant to say was, they're as simple to jailbreak as they were three years ago. Different methods, still simple. Working with researchers that are able to get very explicit things out of them. Again, it fe
130.
by ramoz 6mo ago
Aside from the sentiment and arguments made– You don't need to train new models. Every single frontier model is susceptible to the same jailbreaks they were 3 years ago. Only now, an agent reading the CEOs email is much more dangerous
131.
by ramoz 6mo ago
Still doing https://plannotator.ai I use it daily and so do others, for - better UX, feedback, and review surfaces for ai coding agents. 1. Plan review & iterative feedback. 2. Now code review with iterative feedback
132.
Show HN: Agent Skill Based on "Open Source Security at Astral"(github.com)
3 points by ramoz 6mo ago|0 comments
133.
by ramoz 6mo ago
Created an agent skill based on this blog. Assessing my own repos now. https://github.com/backnotprop/oss-security-audit
134.
by ramoz 6mo ago
I fine tuned GPT-2 on the FAR (federal acquisition regulation) and demoed it to a CFO at a 3-letter. This was shortly after the release when we were building a templating system to automate RFP and RFI creation. I proclaimed that the custom
135.
by ramoz 6mo ago
Free and open source: https://github.com/backnotprop/plannotator
136.
Show HN: Compare Codex and Claude Code reviews side by side(twitter.com)
4 points by ramoz 6mo ago|1 comments
137.
by ramoz 6mo ago
Did quick research on how to support the bacteria growth > Dietary modifications that emphasize high-fiber and prebiotic foods and dietary supplements may support the healthy growth of Roseburia [1] > As stated above, a Mediterranean
138.
by ramoz 6mo ago
Wow. fascinating insights he had. e.g. (amongst many others) Desk-Surface Display and Control: Certainly, for effective man-computer interaction, it will be necessary for the man and the computer to draw graphs and pictures and to write no
139.
by ramoz 6mo ago
I mustve tried openclaw with it. Though ive been running it on codex primarily since I was serious about setting it up.
140.
by ramoz 6mo ago
Super confusing email. Not sure why I received. Am i to assume my account was flagged? I only use my subscription for Claude Code. UPDATE: reply on x Thariq @trq212 only flagged accounts, but you can still claim the credit
141.
Show HN: Continuously Improve Claude Code Plans(plannotator.ai)
2 points by ramoz 6mo ago|0 comments
142.
by ramoz 6mo ago
EQTY Lab | Product Engineers| LA, SF, or Toronto (remote hours included) | https://eqtylab.io We are building products that help improve governance and trust in AI systems. If you want a better steer, guard, and build new forms
143.
by ramoz 6mo ago
It's honestly not a crazy thought. The model itself drives the harness's (cli) development. It's not necessarily sci-fi to think the model might have internally rationalized reasoning to obscure behavior that ended up open-so
144.
by ramoz 7mo ago
Shout out to Broadwayscore by thomaspryor@github At 2mo old - nearly a 1GB repo, 24M loc, 52K commits https://github.com/thomaspryor/Broadwayscore Polished site: https://broadwayscorecard.com/
145.
by ramoz 7mo ago
Both are dramatically over-engineered. & That's okay. I find them to be products of an industry reconciling how to really work with AI as well as optimize workflows around it. Similar to Gastown et al. Otherwise, if you can own you
146.
The emdash of vibecoded UIs(twitter.com)
3 points by ramoz 7mo ago|0 comments
147.
by ramoz 7mo ago
This has aged well. Paradoxically, the more capable AI gets, the more important specification becomes (or costly lack of it becomes), and the more time you spend planning and iterating on intent before you let an agent act. Tokens and code
148.
The flip side of AI ingenuity (DeepMind, 2020)(deepmind.google)
4 points by ramoz 7mo ago|1 comments
149.
Ironies of Automation (1983) [pdf](ckrybus.com)
2 points by ramoz 7mo ago|1 comments
150.
by ramoz 7mo ago
Right now I enjoy the labs' cli harnesses, Claude Code, and Codex (especially for review). I do a bunch of niche stuff with Pi and OpenCode. My productivity is up. Some nuances with working with others using the same AI tools- we all e

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