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Adam Conway
@adam__conway
Engineering cool stuff @theoryvc. Previously @modernhealthco, @stitchfix, @bluebottleroast
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Scheduling our next 1:1 at the ferris wheel @BEBischof
On our latest episode of In Practice @BEBischof sat down with @ethanyish (CEO, @AlliumLabs) to discuss: -> why a blockchain is a Turing machine, not a database -> how one wallet balance = replaying history to 2009 -> 12,000 dbt models, ~30PB, 3% the size of the web -> why AI agents shift leverage to domain experts
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Raising the ceiling of understanding is the most important thing an eng team can do:
My codebase slop theory is there's some threshold past which slop goes exponential
My codebase slop theory is there's some threshold past which slop goes exponential
Good moment today to remind everyone to stay frosty with AI. I was working on making a server stoppable via the CLI, and Codex decided the best path forward was to implement an unauthenticated network API to every server to shut itself down. Excellent work. I responded with "I don't know about that." (I usually give more direct feedback but this was so absurd) and it thought for like 20 seconds and responded "Server stopping should not be part of an unauthenticated network API." Yes. lol. By the way, the result I was looking for was that we automatically start a locally discovery Unix-socket bound server so I wanted it to discover that (using prior mechanisms already made) and gracefully stop that. The driver is absolutely accountable here (me). My lazy prompting led AI to think I wanted to be able to stop ANY configured server I was talking to. Shame on me for thinking it was obvious here. But, I also reviewed it and found this idiocy, so, that's where good AI drivers come in. Also me.
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Custom software is cheap to spin up, but expensive to keep. @BEBischof on @MTSlive talks about the industry's growing tech debt and the type of platforms needed to reduce it.
How much of the prod AI code do you read?
Finally getting MCP-rollbacks-as-a-service 👏
Agents f*ck up. We raised a $2.3M pre-seed to warn you before it’s too late
"Just fence off the bad code like I showed you"
Reviewing LLM generated code 10 hours a day be like
It's been exciting for Ollama to partner with @JensenHuang and the @NVIDIAAI team on launching open models. Open models have no boundaries, and let's continue to work together to make this ecosystem better!
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The problem with saying labs should “make the models sound normal” is “normal” is relative. Everyone wants to receive information differently.
We solved this by building pipelines from call recorders that flag certain topics, and send approval requests to organizers organizer can: - approve call processing - approve no index (search mechanisms and agents dont see it) - reject processing and delete
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The first software eng skill to atrophy as AI usage increases is identifying and articulating bottlenecks. It’d be fine if all bottlenecks were code but often they’re organizational or political.