Leynos
Joined 16 years ago
Joined 16 years ago
The users in this case had given permission for their data to be used for training (or at least hadn't opted out). They had not, of course, given permission for their data to be shared publicly or with a third party in this way. Consequently, OpenAI categorized this as a breach (i.e., something they did not intend to do), and sought to rectify the situation.
- Learning in a self-directed way that aligns with the needs of your role and where it is going
- Clear communication, the ability to edit and know how to say what is important
- Forming and testing hypotheses
- Evaluating and testing tools and work product, and being able to recognize and rectify deviations
- Delegating, setting constraints, rubrics and escalation criteria
- Having a clear definition of done and being able to stick with it
- Understanding business domains and modelling them usefully
- Collaborating with others, communicating your needs and capabilities clearly, eliciting the needs and capabilities of others, synthesizing conflicting needs and aligning compounding capabilities
The adoption of genAI and agentic tooling really just serves to make all of these more important.
OpenAI and Anthropic wouldn't be able to get enterprise contracts without it.
Sure, the AI vendors could be lying, but I think it unlikely given the harm it would do to them to violate an enterprise contract in this way.
Of course, it remains to be seen what several thousand 27B models running at sub 1 tps speed can achieve. (The IoT device mechanism proposed by Anthropic).
I suspect a more likely path is compromise of the billing and provisioning systems of fly-by-night neoclouds.
https://github.com/leynos
meet.hn/city/55.9533456,-3.1883749/City-of-Edinburgh