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Steve Jarrett
Chief AI Officer at Orange. Making people’s everyday lives better through AI.
Steve Jarrett is a prominent figure in the fields of artificial intelligence and data analytics. He currently serves as the Chief AI Officer at Orange Group, where he leads the Data and AI Department, focusing on the company's "AI at Scale" strategy. This role involves consolidating key skills to enhance service offerings, improve processes, and leverage data and AI for value creation across the organization.12
Jarrett has a rich background in technology and entrepreneurship, with over 25 years of experience. His career highlights include building one of Facebook's first strategic machine learning programs and collaborating with Apple on the original iPod. Additionally, he has held leadership roles in several software companies in both the US and UK.1
His expertise extends to advising and board roles, showcasing his influence in the tech industry. He is recognized for his contributions to the development of innovative AI solutions and his commitment to responsible AI practices.12
Highlights
I think we may look back at today’s Starship flight as one of the most significant engineering achievements in human history.
The costs to go to space will drop radically if Starship continues to fly this reliably.
Bravo @SpaceX. You just opened the door even wider to a to a permanently manned Moon base, a manned mission to Mars, many more planetary robot missions, and even larger space telescopes…not to mention another huge drop in cost to lift hundreds of new and larger Starlink satellites to LEO in every Starship launch. Truly amazing work.
Learning tools are about to radically improve thanks to AI.
I used @OpenAI o1-preview to list the most innovative research papers from the last few years on entanglement and the structure of spacetime from leading thinkers like Leonard Susskind @stanford and Mark van Raamsdonk from @UBC…and then fed those into #NotebookLM
The Gemini model from @GoogleAI made some errors in summarizing the research, but this kind of conceptual exploration is incredibly powerful and the pace of innovation in these tools is extremely high.
Then, I fed my remaining questions back into o1-preview and summarized the answers again through NotebookLM. That ‘idea exploration workflow’ even helped me to develop my own novel cosmological theories.
Now I just need Susskind himself to help me catch hallucinations! ;)
My simple AI model workflow is a prime example for me of how AI agents / routers are going to make AI even easier to use and more powerful, even if debugging is going to be a real challenge.
If you’re into physics, here’s one of the resulting NotebookLM podcasts:
Bravo @JeffDean @demishassabis @fchollet @gdb @raiza_abubakar @sama and teams. cc @maggioncal
