LLMs
86
Microsoft's engineers won't need to retrain just yet, although Gates does believe that AI will generate "so much extra productivity" that it will "surprise people and require us to rethink.”
"I started talking about this tipping point four years ago, and you've seen it continue to play out in our results since then.”
"We must build frontier data which is always pushing the boundaries of AI capabilities towards complex reasoning, agents, multimodality, and more."
Communicating RAG/ML is hard. Engineering, legal and communications need to sit down and thrash this out in a growing number of companies.
"To develop AI/ML models, our systems analyse Customer Data (e.g. messages, content and files) submitted to Slack..."
"For product experiences that tolerate such a level of errors, building with generative AI is refreshingly straightforward. But it also creates unattainable expectations..."
That's the sound of a lifeline being thrown...
Adobe uses a "multi-layered, continuous review and moderation approach to block and remove content that violates Adobe’s policies"
Alphabet CEO: We see "clear paths to AI monetization". GCHQ Chief Data Scientist: Beware "automation bias"