why?
see also “ Fair Benchmarking Considered Difficult: Common Pitfalls In Database Performance Testing” by the DuckDB folks with a classic Figure 1
you can also put that REST API behind a self-documenting CLI. that’s how I setup my agents to talk to each other
The idea that an LLM can discern intent on any given prompt is farcical. I might be researching nukes to commit an atrocity, or to prevent one. I might be asking about laundering money to commit a crime, or to prevent…
they also already do this… Anthropic and OpenAI license to the public clouds. Google reportedly licenses to Apple. licensing to Fortune 100 companies running on their own infra is an obvious next step it is a race to…
at their scale they could also just run a large on-premise or rented (basically still cloud, but cheaper) GPU cluster and run through that. fixed costs, even license a SOTA model’s weights if you’d like
I believe the canonical example is Databricks on round L
it is useful e.g. to align the phase of signals being sent from different locations
I believe as it states that’s only for the core extensions listed here: https://duckdb.org/docs/current/core_extensions/overview all are by the DuckDB team except three third-party owners. I’m unfamiliar with Vortex,…
I still need to read “The Soul of a New Machine”, should I save this until after?
why?
see also “ Fair Benchmarking Considered Difficult: Common Pitfalls In Database Performance Testing” by the DuckDB folks with a classic Figure 1
you can also put that REST API behind a self-documenting CLI. that’s how I setup my agents to talk to each other
The idea that an LLM can discern intent on any given prompt is farcical. I might be researching nukes to commit an atrocity, or to prevent one. I might be asking about laundering money to commit a crime, or to prevent…
they also already do this… Anthropic and OpenAI license to the public clouds. Google reportedly licenses to Apple. licensing to Fortune 100 companies running on their own infra is an obvious next step it is a race to…
at their scale they could also just run a large on-premise or rented (basically still cloud, but cheaper) GPU cluster and run through that. fixed costs, even license a SOTA model’s weights if you’d like
I believe the canonical example is Databricks on round L
it is useful e.g. to align the phase of signals being sent from different locations
I believe as it states that’s only for the core extensions listed here: https://duckdb.org/docs/current/core_extensions/overview all are by the DuckDB team except three third-party owners. I’m unfamiliar with Vortex,…
I still need to read “The Soul of a New Machine”, should I save this until after?