hevalon
Privacy Leakage from Gradients in Split-LLM Training
Show HN: AI Infrastructure Knowledge Base
Out of Band, Not Out of Prompt: Intent Verification for Agentic Tool Calls
Reading the Prompt You Did Not Send: Detection at the Inference Boundary
The hard part was per-iteration GPU isolation. A botched run that leaves stale optimizer state or corrupted weights in memory will poison the next iteration. Each iteration needs a fresh CUDA runtime, fresh filesystem, fresh memory. No state leaks. That's where most of the engineering went; ephemeral containers with TTL-based cleanup, one A100 per iteration, torn down after metrics are emitted.
Happy to answer questions. Code: https://github.com/one-covenant/autoresearch-rl
Threat-Modeling the OWASP Top for LLM Applications
Not the Model, but Harness Is the Architecture for Agents
Securing AI Agents: Architecture for Systems You Can't Control
Analyzing Container Filesystem Isolation for Multi-Tenant Workloads
Analyzing Container Filesystem Isolation for Multi-Tenant Workloads
Thanks!
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New Architecture That Beats Transformers: Hungry Hungry Hippos (H3)
You mean, the whole NFT hype? Just happened. What's next? I'm betting on some VR/AR/XR thing (like pokemon Go, but different, same-same, but different).
2021 Accelerate State of DevOps report addresses burnout, team performance
But overall, great idea!
I'm on a similar situation myself too; in my case my loved ones are well educated (physicists and biologists), and aged (over 60s & 70s).
You need to change your perspective and realise that for them, you are the person that believes on "fake news". During my talks with them, I've tried lots of different approaches to demystify some of their arguments; I made my own plots based on open data for COVID-19, I used well-sourced articles from newspapers or even published white papers, until I realised that the matter is based on opinionated believes rather than a lack of fact-checked information.
Now, I'm treating these conversations similarly to having a political discussion; there are some parts that we both disagree and this is fine, but we also have some grey areas that we can discuss further about. The fact that I'm also "challenging" myself with alternative questions and perspectives, I think it makes me better to do a better data-search for the next time.
Having said that, what I do respect the most on them is the fact that they try to seek their own personal opinion. But "popularised science" in ongoing matters is hard to find, thus the only easy-to-digest content is through groups and videos that carry-on with promoting misinformation; news that are not fact-check but only based on opinions (usually political driven).
So as you mentioned, the main problem is the lack of fact-checking popularised sources & channels. One example that does exist is "TL;DR; News" [1].
To save some comments; Yes, they do have the potentials to create their own closed-circle economic ecosystems, but for the retail banking services to work (eg overdrafts, mortgages etc) you will end-up with centralised players as these kind of services need to be backed by wealth (it's not a tech-issue).
This particular is great, as it reminds me of a book that I had read a while back; Your Code as a Crime Scene [1] by Adam Tornhill.
Adam is trying to explain something similar, but takes the whole concept onto the next level by explaining how tech debt and hidden coupling can be discovered using the git history and similar file structure visualisations.
[1] https://pragprog.com/titles/atcrime/your-code-as-a-crime-sce...
Lately I am trying to "dockerize" my backends, so in the case my workspace project needs a mongoDB or an other backend from my architecture, I should be pulling those containers up on converging. That will make my life easier when writting cookbooks for the backend dependencies.
I believe you can achieve the same using ansible, chef was a personal taste.