Data/AI Anthropologist, Industry Analyst, Keynote Speaker, #BBBT Member, President @RebaieGroup. Former @schoolofdata & Global #AI Influencer #DataPhenomenology
@TurkishAirlines@TK_HelpDesk 48+ hours with no update on my missing baggage that contains urgent items. This lack of communication is reckless — take responsibility and fix this.
Everyone wants to teach "AI skills" but nobody knows what "AI skills" are as of today, let alone for the future. We can teach a bit about how LLMs work, and give some advice on prompting, but, beyond that, what are people supposed to learn to make them "AI ready"? No clear vision
👋 Who’s in Lisbon for Web Summit 2024?
I’d love to meet up with friends and network while you’re in town! Let’s connect for a quick coffee while you’re here. Drop me a message or comment below if you’re around!
#Lisbon#WebSummit#Websummit2024#AI
@tprstly Loved that video of the guy who went out and about in NY with them, simultaneously showing the best use case for the technology and why they were terrible.
Vibe video.: The GenAI summit in SF is one of the largest GenAI events I’ve seen, and I attend 3 AI events per week on average.
There are hundreds still trying to get in the door.
I’m on the main stage at 2:30pm, speaking on AI industry trends. #genaisummitt
Nvidia CEO Jensen Huang suggests moving beyond teaching kids coding, proposing AI advancements to replace traditional languages with human prompts, making programming accessible to all and potentially eliminating the need for coding.
🌐Starting at 9:15 ET | #Data4Peace 2023
This session looks at the Multi-Risk Scenario Planning Platform for anticipatory action, presented by:
@AliRebaie, @RebaieGroup
Harald Fiedler, Cavorit
Program:
Register: https://t.co/trJAmP5FE7
🚀 TODAY'S THE DAY! #DataforPeace 2023 KICKS OFF!
🌐 Engaging 2,000+ from around the globe.
🎙️ Featuring 100+ renowned speakers.
📍 Hybrid: Google NYC & Online.
🏛️ Hosted by: @nyuCIC
🔍 Agenda: https://t.co/k5eiRBr6xW
🚨 LAST CALL to join: https://t.co/jksZAFe5Kx
However, gpt4 does not have the ability to tell correct from incorrect, so what really happens inside the model is more complicated and still statistically generated.
I think the reason for so many startup “pivots” to things like data science or AI is because their products never solved any real or important problems. What else to do but chase the latest hype to show relevance?