rush86999

5 ms·

1.
by rush86999 5d ago
Doesn't apply to every scenario where agents are useful. Think about businesses - most business processes are not optimized this way. They are mostly a conglomeration of hierarchy, relationships, customs, IP, etc. Model development wil
2.
by rush86999 12d ago
It's like everyone knows the dirty truth, but no one wants to do anything about it. Why? Self-interest has made everyone blind to open corruption. The worst part is reality hits 3-4 years later, and the big guy is already out and about
3.
by rush86999 20d ago
Yeah, it is. Bad wording on my part, but the list is a summary of what's going on so far in agent harnesses.
4.
by rush86999 20d ago
Here's a better summary: https://github.com/rush86999/atom/blob/main/docs/architectur... I also have a self-evolving architecture on it, but you have to be careful, especially if you're us
5.
by rush86999 21d ago
Luckily, I have the coding plan for z.ai, so I'm happy with this model as I always kept running out of usage with the original glm-5.3
6.
by rush86999 24d ago
Reasoning / self-consistency (voter in core/llm/self_consistency_voter.py): - Wang et al. Self-Consistency Improves Chain-of-Thought — ICLR 2023, Google Brain, 4k+ cites — https://arxiv.org/abs/2203.11171
7.
by rush86999 24d ago
I think you've really hit the mark on how the harness should be structured: 1. Guardrails - deterministic, social intelligence, team alignment & accountability 2. Learn by doing 3. make it stupid easy for the agent to research and
8.
by rush86999 1mo ago
Mine is a WIP for automation but has similar concepts to what you're looking for: https://github.com/rush86999/atom
9.
by rush86999 1mo ago
AI agent workforce: https://github.com/rush86999/atom Now with OpenCode Go integration. I'm rapidly fixing as many bugs as I can, and with the same subscription. Thank you, DeepSeek!
10.
by rush86999 1mo ago
That's what he was trying to imply
11.
by rush86999 2mo ago
It's opus 5 > Kimi K3 > grok 4.5 That's a pretty good benchmark
12.
by rush86999 2mo ago
I'm still working on mine: https://github.com/rush86999/atom/blob/main/docs/architectur...
13.
by rush86999 2mo ago
How is this different from OpenRouter? I also developed something similar for my agent harness. It's based on model predictors and an exponential moving average: https://github.com/rush86999/atom/blob/mai
14.
by rush86999 2mo ago
AI is only replacing low-level work. It will eventually move on to high-level work. One missing point: careers that require communication, especially person-to-person, won't be replaced by AI. Why? Because people don't like to spe
15.
by rush86999 2mo ago
The main goal is AGI, and the underlying prerequisite theme is continuous learning. Everyone is trying to figure out how to achieve this prerequisite. I'm thinking of agent harnesses. That's what everyone is trying to do at this p
16.
by rush86999 2mo ago
Same here! https://github.com/rush86999/atom
17.
by rush86999 2mo ago
Autonomous Task Orchestration Management Agent === ATOM Agent
18.
by rush86999 2mo ago
Firecracker microVMs are safest. That's what I added to my repo; see above.
19.
by rush86999 2mo ago
Is this manipulating excel files using agent AI? How is this different from using a python package like openpyxl and adding a UI layer on top with agentic co-editing? https://github.com/rush86999/atom/blob/mai
20.
by rush86999 2mo ago
OpenClaw needs to be built from the ground up. I created Atom based on current research on agentic systems and am looking for maintainers & testers to help out. https://github.com/rush86999/atom https://
21.
by rush86999 2mo ago
China has a huge microwave to destroy any kind of Starlink over its head.
22.
by rush86999 3mo ago
Working on: https://www.novopathmedical.com/ - evidence-based guidance of diet, exercise, and mental health via SMS for end users. Clinician-guided feedback to bots. https://github.com/rush86999/atom -
23.
by rush86999 3mo ago
Just as you expected, I'm throwing in my harness. Please support: https://github.com/rush86999/atom
24.
by rush86999 4mo ago
You would think git history should be the first thing an agent would look at, as they make so many mistakes before they get to the correct answer. They don't. I haven't measured, but documenting bug fixes and architecture seems to
25.
by rush86999 7mo ago
Nope - just use memory layer with model routing system. https://github.com/rush86999/atom/blob/main/docs/EPISODIC_ME...
26.
by rush86999 7mo ago
Only solution is to train the issue for the next time. Architecturally focusing on Episodic memory with feedback system. This training is retrieved next time when something similar happens
27.
by rush86999 7mo ago
Everyone is using OpenClaw for personal productivity, but you're right. Not much value, as you can get that from existing products. The market will eventually realize the business case for an OpenClaw-like product, and I'm waiting
28.
Show HN: Atom – open-source AI agent with "visual" episodic memory(github.com)
1 points by rush86999 7mo ago|0 comments
29.
by rush86999 7mo ago
This is an incomplete thought. A strong checks and balances without influence of bias, relationships, and politics can be implemented using a 2-way blind system where: 1. decision makers (of sound judgement) are not aware of any identifiabl
30.
by rush86999 7mo ago
Funny you described everything I worked on for this project: https://github.com/rush86999/atom Cats out of the bag. Everyone knows the issue and I bet a lot of people are trying to deliver the same thing.

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