4b11b4

26 ms·

151.
by 4b11b4 8mo ago
Please elaborate on this one
152.
by 4b11b4 8mo ago
Please elaborate
153.
by 4b11b4 8mo ago
"But MCP is still useful, because it is uniform" Yes, I was also thinking.. y MCP den But even my simple class project reveals this. You actually do want a simple tool wrapper layer (abstraction) over every API. It doesn't ev
154.
by 4b11b4 8mo ago
lol "agents are better at writing code that calls MCP, then using mcp itself" In hindsight, it's pretty funny and obvious
155.
by 4b11b4 8mo ago
I wasn't explicit about this in my initial comment, but I don't think you can equate more forward passes to neuroplasticity. Because, for one, simply, we (humans) also /prune/. And... Similar to RL which just overwrites
156.
by 4b11b4 8mo ago
Yes, that's precisely the problem, you want continuous learning but you also want continuous pruning.
157.
by 4b11b4 8mo ago
I'm not sure if you want models perpetually updating weights. You might run into undesirable scenarios.
158.
by 4b11b4 8mo ago
I understand everyone's trying to solve this problem but I'm envisioning 1 year down the line when your memory is full of stuff that shouldn't be in there.
159.
by 4b11b4 8mo ago
Ah I see. When I say write.. I also mean review and revise.
160.
by 4b11b4 8mo ago
Well sure but the discussion isn't "is the code is correct".
161.
by 4b11b4 8mo ago
Arbiter is looking nice. I like the composability. Pretty tough for anything except a developer to author it though, which was maybe an accepted tradeoff.
162.
by 4b11b4 8mo ago
This is fundamentally flawed. Code cannot always capture the requirements, nor the reasoning or scenario which led to these requirements.
163.
by 4b11b4 8mo ago
Shadowbook is a fork of beads?
164.
by 4b11b4 8mo ago
Nice and I'm thinking along similar lines but not DSLs. My intuition off reading what you wrote is... Nobody is gonna want to write PTLs and ISLs.
165.
by 4b11b4 8mo ago
Yup, that's the idea. Mad libs are still constrained
166.
by 4b11b4 9mo ago
I agree with you in general re "agentic systems". Though they might deliberately not be trying to compete in the "agent harness" space yet. The antigravity experiment yes was via windsurf - probably nobody expected that
167.
by 4b11b4 9mo ago
It's a feature not a bug
168.
by 4b11b4 9mo ago
Yeah alpha go and zero were lame. The earth foundation model - that's just ridiculous. That's sarcasm --- Your "direct Gemini calls" is maybe the least impressive edit: This paper is mostly a sort of "quantitative s
169.
by 4b11b4 9mo ago
DIY agent harnesses are the new "note taking"/"knowledge management"/"productivity tool"
170.
by 4b11b4 9mo ago
This is incorrect perspective
171.
by 4b11b4 9mo ago
No
172.
by 4b11b4 9mo ago
Hopefully your perspective will change over time, because it's short sighted. My main critique is that we don't do everything merely for the "end" of it, we do it for the "why" or the journey. No IA system wil
173.
by 4b11b4 9mo ago
IAM for agents sounds interesting but how is it reliably enforced? You also built evals?
174.
by 4b11b4 9mo ago
yutori scouts
175.
by 4b11b4 9mo ago
MetaGPT was in.. 2023?
176.
by 4b11b4 9mo ago
> "the way you describe a program _can_ be the program" One follow-up thought I had was... It may actually be... more difficult(?) to go from a program to a great description
177.
by 4b11b4 9mo ago
Google Earth Engine's Foundation model via the ITU's seminar! This thing is incredible!
178.
by 4b11b4 9mo ago
Anthropic has been doing this from the start and they are justified in it (the plan has different pricing rates than API). People have been making workarounds and they are justified in that as well - those people understand their workaround
179.
by 4b11b4 9mo ago
While I agree a text representation is good for working with LLMs... most of the examples are mis-aligned? Even the very first one (ASCII-Driven Development) which is just a list. I guess this is a nitpick that could be disregarded as irrel
180.
by 4b11b4 9mo ago
This seems a meaningless project as the system prompt of these models are changing often. I suppose you could then track it over time to view bias... Even then, what would your takeaways be? Even then, this isn't even a good use case f

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