"They Might Be Self-Aware" is your weekly tech frenzy with Hunter Powers and Daniel Bishop. Every Monday, these ex-co-workers, now tech savants, strip down the AI and technology revolution to its nuts and bolts. Forget the usual sermon. Hunter and Daniel are here to inject raw, unfiltered insight into AI's labyrinth – from its radiant promises to its shadowy puzzles. Whether you're AI-illiterate or a digital sage, their sharp banter will be your gateway to the heart of tech's biggest quandary. Jack into "They Might Be Self-Aware" for a no-holds-barred journey into technology's enigma. Is it our savior or a mother harbinger of doom? Get in the loop, subscribe today, and be part of the most gripping debate of our era.
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"They Might Be Self-Aware" is your weekly tech frenzy with Hunter Powers and Daniel Bishop. Every Monday, these ex-co-workers, now tech savants, strip down the AI and technology revolution to its nuts and bolts. Forget the usual sermon. Hunter and Daniel are here to inject raw, unfiltered insight into AI's labyrinth – from its radiant promises to its shadowy puzzles. Whether you're AI-illiterate or a digital sage, their sharp banter will be your gateway to the heart of tech's biggest quandary. Jack into "They Might Be Self-Aware" for a no-holds-barred journey into technology's enigma. Is it our savior or a mother harbinger of doom? Get in the loop, subscribe today, and be part of the most gripping debate of our era.
Is AI in a bubble—or just inside one? In this episode, we argue the one big reason AI is not a bubble: unlike past hype cycles (hi, blockchain), generative AI keeps unlocking new, practical use-cases and we’ve likely discovered only a tiny fraction so far. We also debate where the actual bubbles are (funding and frothy startups), why some companies may pop, and why the technology isn’t going anywhere.
We dig into the difference between “AI is a bubble” vs “AI in a bubble,” why LLMs are already embedded in daily workflows, and how safety, regulation, and economics shape adoption. We touch on Sam Altman’s “money hose” moment, model safety moves (e.g., refusal features and cutoff behaviors), and the PR theater around “we won’t let you do X” policies. On the spicy side: we unpack calls for investigations into Grok’s adult-mode and the real risk vector—image deepfakes—plus why institutions crave reliability over edgelord vibes.
Then we tackle kids + AI (parental controls, open-weights at home, and why an LLM can be like placing an unmonitored adult on a phone line), and policy flashpoints like Illinois restricting AI in therapy. Finally, we square off on the future of self-driving: will capitalism or insurance math decide when humans must hand over the wheel?
If you want a fast, no-BS breakdown of whether AI is a bubble (and what actually bursts next), you’re in the right place. Like & subscribe for weekly, high-signal AI news and analysis—and tell us in the comments: what’s one use-case that proves AI’s staying power?
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📢 Engage
If you learned something, drop a comment with your most convincing “AI is not a bubble” example (or your spiciest counter-argument). We read them all and may feature your take next episode.
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They Might Be Self-Aware
"They Might Be Self-Aware" is your weekly tech frenzy with Hunter Powers and Daniel Bishop. Every Monday, these ex-co-workers, now tech savants, strip down the AI and technology revolution to its nuts and bolts. Forget the usual sermon. Hunter and Daniel are here to inject raw, unfiltered insight into AI's labyrinth – from its radiant promises to its shadowy puzzles. Whether you're AI-illiterate or a digital sage, their sharp banter will be your gateway to the heart of tech's biggest quandary. Jack into "They Might Be Self-Aware" for a no-holds-barred journey into technology's enigma. Is it our savior or a mother harbinger of doom? Get in the loop, subscribe today, and be part of the most gripping debate of our era.
