Realized there's probably pref on Databricks too, which would further lower the value of its common. On the other hand, there could have been a markdown from the 38B since August '21
Disagree there are sacred timeless skills we ought to protect; tech has and will continue to reduce our need to spend mental bandwidth on skills
Similar offline risk goes for all tech: navigation, generating energy, finding food & water.
And as others have noted, like other personal tools, ai will become more portable and efficient (see progress on self hosted, minimal, efficiently trained models like Vicuna that are 92% parity with OpenAI fancy model)
Self-hosted + self-trained LLMs are probably the future for enterprise.
While consumers are happy to get their data mined to avoid paying, businesses are the opposite: willing to pay a lot to avoid feeding data to MSFT/GOOG/META.
They may give assurances on data protection (even here GitHub copilot TOS has sketchy language around saving down derived data), but can’t get around fundamental problem that their products need user interactions to work well.
So it seems with BigTechLLM there’s inherent tension between product competitiveness and data privacy, which makes them incompatible with enterprise.
Biz ideas along these lines:
- Help enterprises set up, train, maintain own customized LLMs
- Security, compliance, monitoring tools
- Help AI startups get compliant with enterprise security
- Fine tuning service