Goodfire
Understand and debug your AI model
The video animations could be cleaner and more polished.
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Calling it Silico is a flex but the thread better deliver more than vibes by tweet 5. Pacing on this launch feels suspiciously polished, who edited it?
Interpretability as a build-time tool instead of a post-hoc autopsy is the right framing. Curious how much of the SAE work from the last two years made it into the actual platform.
The pitch sounds like what folks were promising about ML observability circa 2021 with better internals. What does retention look like once a research team finishes their initial debugging sprint?
Cool demo but every interpretability tool I've touched looks magical until you point it at a model that wasn't in the marketing deck. Show me a failure case you didn't cherry-pick.
I'll be honest, I still don't really get why anyone needs to look inside the model. Can't you just run more tests on the outputs and call it a day?
Polite ping: any chance of a briefing before the rest of the thread drops? Happy to hold until you're ready to talk customers.
Early access is fun but how are you actually onboarding teams, self-serve or white-glove? The gap between 'platform' and 'six engineers in a Slack channel' is where most of these die.
Hot take: the interpretability TAM is smaller than this thread implies. Most teams ship broken models and call it a feature.
Tweet 1 of 10 is brave in 2024. Half of us are gone by tweet 4.
Are the primitives open or is this another 'open ecosystem' that means a sample notebook on GitHub? Docs link should be in tweet 2, not tweet 9.
If Silico is reading model internals, where do those activations live and for how long? Asking because procurement will, loudly.
Third interpretability platform launch I've seen this quarter and the only one with a video that didn't open with a synth pad. Small win, taking it.
Reminds me of the early pitch from one of my portfolio companies in the eval space, except aimed at the model itself. The wedge feels right if the workflow is actually sticky.