Why is an LLVM release any different than a frontier model release? Well known, concrete issues get identified, evaluated against, RLVR'd on, and a new release comes out that doesn't have that issue. Or you can do that…
You look at the inputs to the model at the trace level to root cause context construction vs model deficiency. You collect examples of the failure cases, build eval sets, and run ablations. That's black box debugging,…
Not 1 in 1000 software engineers has the ability to debug a compiler. And you can absolutely debug agent failures, but similarly almost no does. In both cases for the mast majority of engineers, they are black boxes.
I'm not sure. That is also my experience, but I'm not completely sure that isn't my fault and the compiler comparison would be totally valid if I just used the tool better. When I actually write fully fleshed out…
Neither are compilers? But you still trust your JIT compiler. Determinism is unimportant, likelihood of correctness is what matters. Plus agents are deterministic, no?
How does it differ other than that people aren't currently choosing to write clear, well-defined high-level specs and feeding that into their agent?
Complete comprehension has never been a thing. Unless you were working solo with no dependencies, you never completely understood what was being shipped. I don't think an npm import vs an LLM implementation of a…
At agentic coding velocity, tech debt becomes obvious much more quickly. Empirical evidence is a bit of a ridiculous bar to hold for software development - we are as quantitatively blind now as we have ever been - but…
0.5 tok/s I think is their claim. Basically skynet
You should read the report, it is interesting technically if you ignore the fear-mongering. It distributes the model's layers over multiple compromised devices.
This technology has surpassed the the world's best mathematicians at the (explicitly and openly stated) goal by which they measure and reward mathematical progress. Such an advancement that it seems to have thrown the…
I think the answer is literally no
Every option is going to lead to someone shitting on OpenAI for what seems to be a pretty huge accomplishment. There have been opinions written by some mathematicians that OpenAI should just share the work that they…
Is mathematics research even a job you pursue if survival is the question?
But I don't think OpenAI intended to hack HF and I doubt you'd be able to convince a group of people they did. It's such a weird story to try to tell in a court of law where this was intentional. To what end?
> Even for candidates for whom my feedback was scathing, they are still generally positive about the experience If you have scathing feedback for someone you are interviewing, you should probably just shut up. Or at…
The cheap, fast and smart-enough LLM space has been wildly neglected. Jev is one of the few players truly targeting that space. And for a lot of people it is the first time they are asking "what could I build if llms…
I don't think you need to trust them if you are running on something like bedrock. Then I think you're trusting AWS or whatever cloud equivalent you want.
Why does this necessitate using closed models? I don't see the difference between putting your data on a cloud DB and using a cloud model.
Did you try it? I'm curious if "certain ML accelerators" is an anti-China restriction.
This is an Apache 2.0 open source project
Don't you end up sitting there waiting while the agent goes off and executes the plan?
I had the same experience for my writing that was AI generated.
I am being specific about cyber crime in the united states, which (if AI is to be believed) requires intent. And for negligence, there's a bit of an issue where the HF hack was probably more scary than damaging. HF is…
They can raise cash by selling off the stock they have spent a decade buying back.
Why is an LLVM release any different than a frontier model release? Well known, concrete issues get identified, evaluated against, RLVR'd on, and a new release comes out that doesn't have that issue. Or you can do that…
You look at the inputs to the model at the trace level to root cause context construction vs model deficiency. You collect examples of the failure cases, build eval sets, and run ablations. That's black box debugging,…
Not 1 in 1000 software engineers has the ability to debug a compiler. And you can absolutely debug agent failures, but similarly almost no does. In both cases for the mast majority of engineers, they are black boxes.
I'm not sure. That is also my experience, but I'm not completely sure that isn't my fault and the compiler comparison would be totally valid if I just used the tool better. When I actually write fully fleshed out…
Neither are compilers? But you still trust your JIT compiler. Determinism is unimportant, likelihood of correctness is what matters. Plus agents are deterministic, no?
How does it differ other than that people aren't currently choosing to write clear, well-defined high-level specs and feeding that into their agent?
Complete comprehension has never been a thing. Unless you were working solo with no dependencies, you never completely understood what was being shipped. I don't think an npm import vs an LLM implementation of a…
At agentic coding velocity, tech debt becomes obvious much more quickly. Empirical evidence is a bit of a ridiculous bar to hold for software development - we are as quantitatively blind now as we have ever been - but…
0.5 tok/s I think is their claim. Basically skynet
You should read the report, it is interesting technically if you ignore the fear-mongering. It distributes the model's layers over multiple compromised devices.
This technology has surpassed the the world's best mathematicians at the (explicitly and openly stated) goal by which they measure and reward mathematical progress. Such an advancement that it seems to have thrown the…
I think the answer is literally no
Every option is going to lead to someone shitting on OpenAI for what seems to be a pretty huge accomplishment. There have been opinions written by some mathematicians that OpenAI should just share the work that they…
Is mathematics research even a job you pursue if survival is the question?
But I don't think OpenAI intended to hack HF and I doubt you'd be able to convince a group of people they did. It's such a weird story to try to tell in a court of law where this was intentional. To what end?
> Even for candidates for whom my feedback was scathing, they are still generally positive about the experience If you have scathing feedback for someone you are interviewing, you should probably just shut up. Or at…
The cheap, fast and smart-enough LLM space has been wildly neglected. Jev is one of the few players truly targeting that space. And for a lot of people it is the first time they are asking "what could I build if llms…
I don't think you need to trust them if you are running on something like bedrock. Then I think you're trusting AWS or whatever cloud equivalent you want.
Why does this necessitate using closed models? I don't see the difference between putting your data on a cloud DB and using a cloud model.
Did you try it? I'm curious if "certain ML accelerators" is an anti-China restriction.
This is an Apache 2.0 open source project
Don't you end up sitting there waiting while the agent goes off and executes the plan?
I had the same experience for my writing that was AI generated.
I am being specific about cyber crime in the united states, which (if AI is to be believed) requires intent. And for negligence, there's a bit of an issue where the HF hack was probably more scary than damaging. HF is…
They can raise cash by selling off the stock they have spent a decade buying back.