The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone.

We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockchain déjà vu to the "ChatGPT wrapper" economy—this episode will make you question every AI valuation you've ever seen.

Fair warning: We're naming names and calling out the hype. Don't listen if you work at a "revolutionary AI startup" that's just OpenAI's API with a pretty interface.

#AIBubble #VentureCapital #TechReality #StartupBullshit

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing

here are my thoughts about AI replacing programmers...

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In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectures like transformers and LLMs, diving into spiking neural networks (SNNs), their benefits in energy efficiency and real-time processing, and their limitations in training and scalability. Real-world applications are highlighted, including low-power drones, hearing aids, and event-based cameras. Francesco closes with a vision of hybrid systems where neuromorphic chips and LLMs coexist, blending biological inspiration with modern AI.

📚 References

• SpikingJelly: https://github.com/fangwei123456/spikingjelly

• Norse: https://github.com/norse/norse

• IBM TrueNorth: https://www.millionairematch.com

• AGNTCY — The open source collective building the Internet of Agents 🌐 https://www.agntcy.org