AI Expert Warning: The Permanent Underclass Discourse Is A Lie, Do This Instead!
Episode 5 ·
Guest: Devansh — Author, AI Made Simple
When Devansh Devansh was part of a small team that beat Apple at detecting Parkinson’s disease using real-time voice calls, he learned a frustrating lesson about big tech: internal corporate politics can easily buy up a breakthrough algorithm and bury it.
Years later, after building a massive following on his Substack, AI Made Simple, he made a radical choice. Instead of chasing a cozy role at a major AI lab, he chose to open-source his research and build a decentralized community called the Chocolate Milk Cult. His reasoning? Big tech companies have become too risk-averse, with researchers more focused on job security than making actual breakthroughs.
In this episode, we sit down with Devansh to cut through the hype and look at the real engineering bottlenecks in AI today.
We talk about:
- What actually happens when corporate bureaucracy sidelines life-saving technology.
- The practical flaws behind how OpenAI and Anthropic handle AI memory, and how his team solved it for legal tech.
- Why he walked away from institutional big tech money to keep his research open to everyone.
- How big tech's fear of making mistakes is quietly stalling the next generation of AI models.
- The current "underclass" AI narrative, and what it really takes for a young engineer to stand out right now.
If you're tired of the generic AI hype cycle and want a realistic look at where the technology is actually going, this conversation is for you.
Follow Devansh's Substack: https://www.artificialintelligencemadesimple.com/