But if that 20% is not the bottleneck then at most your market is replacing the labor required to get that 20% to the next phase, plus you will probably not be able to capture full value here because of lab/model…
Compared to Air 2 :D ?
Reading boost libraries was like reading brainfuck. In fact most of std lib source felt that way too. I never reflected on this since I stopped doing C++ 15 years ago - but yeah I have not worked with a language that's…
That's why OpenAI hard pivoted from consumer tech into enterprise ? The only AI that makes money is enterprise. Being open weights/self-hostable is a huge win before the pricing even enters the conversation, but pricing…
Agents are pretty shit at making UX decisions unless you're heavily in the training distribution
Depends - if the model asks for permission and you approve - yes. If it's auto mode or something like that then it's probably on authors despite what they claim in ToS/EULA
Realistically once models are good enough at this most of us are out of a job.
Embedding@Work
TBH I'm seeing the opposite, I have a legacy codebase where the people originally writing it were incompetent and inexperienced, but the project took off. It's scaling up but the foundation is shit and has to be…
> Your code used to be a masterpiece Do you even see anything underneath that rose tint ?
A smarter agent can write a better compiler and leave the intent in densely packed/verifiable language structure that can encode propositions low level code cannot.
This is such a bad take given the current LLM agents High level languages : - compress low level patterns into high level abstractions which save context/token - express higher level meaning through things like names -…
No, not nearly the same living standard.
Entirely different generation
You do realize that St Petersburg dot on the map is Russia ?
How does the model get context to decide ABCD ?
Look into beads/dolt then - it does this pretty much with a cli - Jira for agents :)
That's the reason I'm excited about the orchestrator because it would let me build my ideal UX on top. If you move away from the idea that agents are chat streams and treat them as processes/actors then you can start…
I'm actually taking the time to hash out the details to do this as a side experiment project, but basically what I read this project as showing is that if you leverage asynchrony you can let agents be more efficient -…
Honestly the fact that we're still modeling agent harnesses like chat and strapping them into shell sessions instead of building async actor systems with sandboxed OS functionality access actors is bananas to me. So…
Lack of way to capture value from intellectual labor is considered a market failure that leads to suboptimal market results for consumers, but with AI that argument becomes very weak. Sorry but the point isn't to create…
Copyright is artificial scarcity rationalized by arguing that producing novel intellectual work is valuable, but requires substantial effort that can't be recouped, so we have to incentivize it somehow. LLMs and AI are…
You don't have to have a JIT to have a JS VM ?
There's also a recency bias, where you ignore how valuable some decision was in the past and ignore the fact that you maybe wouldn't even get to the place you are if "you made a different decision in the past".
Debugger MCP better
But if that 20% is not the bottleneck then at most your market is replacing the labor required to get that 20% to the next phase, plus you will probably not be able to capture full value here because of lab/model…
Compared to Air 2 :D ?
Reading boost libraries was like reading brainfuck. In fact most of std lib source felt that way too. I never reflected on this since I stopped doing C++ 15 years ago - but yeah I have not worked with a language that's…
That's why OpenAI hard pivoted from consumer tech into enterprise ? The only AI that makes money is enterprise. Being open weights/self-hostable is a huge win before the pricing even enters the conversation, but pricing…
Agents are pretty shit at making UX decisions unless you're heavily in the training distribution
Depends - if the model asks for permission and you approve - yes. If it's auto mode or something like that then it's probably on authors despite what they claim in ToS/EULA
Realistically once models are good enough at this most of us are out of a job.
Embedding@Work
TBH I'm seeing the opposite, I have a legacy codebase where the people originally writing it were incompetent and inexperienced, but the project took off. It's scaling up but the foundation is shit and has to be…
> Your code used to be a masterpiece Do you even see anything underneath that rose tint ?
A smarter agent can write a better compiler and leave the intent in densely packed/verifiable language structure that can encode propositions low level code cannot.
This is such a bad take given the current LLM agents High level languages : - compress low level patterns into high level abstractions which save context/token - express higher level meaning through things like names -…
No, not nearly the same living standard.
Entirely different generation
You do realize that St Petersburg dot on the map is Russia ?
How does the model get context to decide ABCD ?
Look into beads/dolt then - it does this pretty much with a cli - Jira for agents :)
That's the reason I'm excited about the orchestrator because it would let me build my ideal UX on top. If you move away from the idea that agents are chat streams and treat them as processes/actors then you can start…
I'm actually taking the time to hash out the details to do this as a side experiment project, but basically what I read this project as showing is that if you leverage asynchrony you can let agents be more efficient -…
Honestly the fact that we're still modeling agent harnesses like chat and strapping them into shell sessions instead of building async actor systems with sandboxed OS functionality access actors is bananas to me. So…
Lack of way to capture value from intellectual labor is considered a market failure that leads to suboptimal market results for consumers, but with AI that argument becomes very weak. Sorry but the point isn't to create…
Copyright is artificial scarcity rationalized by arguing that producing novel intellectual work is valuable, but requires substantial effort that can't be recouped, so we have to incentivize it somehow. LLMs and AI are…
You don't have to have a JIT to have a JS VM ?
There's also a recency bias, where you ignore how valuable some decision was in the past and ignore the fact that you maybe wouldn't even get to the place you are if "you made a different decision in the past".
Debugger MCP better