For sure but most of that innovation pre-super shoes was optimizing the runner, not the shoes
I'm a runner, and it's a bit sad that distance running is not longer purely about the runner. Based on the quote below, next thing we will see is a "constructors championship" similar to F1 for winning shoe constructor…
Sure, but did they have MCP?
it does work; just download from HF and load in the app
true. See here for a map: https://sfplanninggis.s3.amazonaws.com/hub/BIGmap.pdf I live in the that space (between tower and the city) and the local neighbourhood group (HANC) is ridiculously NIMBY. rezoning is happening…
(trying to move the critique beyond the title...) When trying to deploy llms in with larger context windows constrained environments 2 things start to hurt: a) increased memory footprint for longer KV cache b) increased…
any idea why this took them so long?
If you are going to go vertical then do it properly. OpenAI could just build their own framework for internal use that works well on their silicon (see Jax+tpu) Their starting point? Triton plus some triton libs. Jax…
Love this. I’m 10 years in SF myself. One thing I would add is the people
I would also say that being an engineer at L8 is a meaningfully different set of skills than L7. The whole ‘what got you here won’t get you there idea’ starts at L7 for either track…
Chiplets and standardized hardware interfaces are a great start. Now we just need to solve the remaining 90%: firmware, software, security, virtualization, …, …
For sure but most of that innovation pre-super shoes was optimizing the runner, not the shoes
I'm a runner, and it's a bit sad that distance running is not longer purely about the runner. Based on the quote below, next thing we will see is a "constructors championship" similar to F1 for winning shoe constructor…
Sure, but did they have MCP?
it does work; just download from HF and load in the app
true. See here for a map: https://sfplanninggis.s3.amazonaws.com/hub/BIGmap.pdf I live in the that space (between tower and the city) and the local neighbourhood group (HANC) is ridiculously NIMBY. rezoning is happening…
(trying to move the critique beyond the title...) When trying to deploy llms in with larger context windows constrained environments 2 things start to hurt: a) increased memory footprint for longer KV cache b) increased…
any idea why this took them so long?
If you are going to go vertical then do it properly. OpenAI could just build their own framework for internal use that works well on their silicon (see Jax+tpu) Their starting point? Triton plus some triton libs. Jax…
Love this. I’m 10 years in SF myself. One thing I would add is the people
I would also say that being an engineer at L8 is a meaningfully different set of skills than L7. The whole ‘what got you here won’t get you there idea’ starts at L7 for either track…
Chiplets and standardized hardware interfaces are a great start. Now we just need to solve the remaining 90%: firmware, software, security, virtualization, …, …