Dive into the inaugural episode of "AI Fire Hose" with hosts Ash Bennington and Mikhail Voloshin. This podcast sets the stage for a captivating exploration of the state and potential of artificial intelligence. With the combined expertise of journalist Ash and AI maven Mikhail, this episode promises to provide a nuanced conversation on AI's current landscape and its trajectory for the coming decade.
From breakthroughs in deep learning to the real-world integration of AI tools, our hosts dissect the most recent developments and speculate on the ripple effects across industries, economies, and societies. This deep dive is not just about the technology but also its ethical, economic, and societal implications.
Whether you're an AI aficionado, a tech professional, or just curious about the innovations defining our times, this episode is your gateway to understanding the force that is AI.

CHAPTERS:
(00:00) Intro to "AI Fire Hose"
(00:30) Ash & Mikhail's backgrounds
(01:33) Guest: Mikhail's cat
(02:10) Mention of "Dopamine" novel
(02:40) Podcast's origin story
(03:02) AI: hype vs reality
(03:59) Brain-computer interfaces intro
(04:34) Unbabel device spotlight
(05:11) Understanding EMG
(06:48) How Unbabel device works
(08:02) Predictive algo & LLM
(08:59) Hawking & ALS tech
(10:12) Unbabel's future
(10:49) Another brain-tech intro
(11:20) UCSF research & patient
(11:56) Brain signals for speech
(12:28) AI & sci-fi movie refs
(13:03) AI's role in speech synthesis
(13:36) Tech's impact on speech issues
(14:10) OpenAI & tech market topic
(14:41) OpenAI's 2022 losses
(15:12) OpenAI's AGI mission
(15:49) OpenAI's expenses
(16:27) OpenAI's revenue streams
(16:58) OpenAI's hiring & salaries
(17:35) Machine learning market trends
(18:11) OpenAI infrastructure costs
(18:45) NVIDIA in tech market
(19:22) Neural network deep dive
(19:55) Why "neural network"?
(21:08) Evolution of neural nets
(21:38) AI & copyright in arts
(22:10) AI content's copyright status
(22:42) AI & human content collab
(24:17) Spell checks & copyrights
(24:45) Grammarly & AI copyrights
(25:12) Article source & bias
(25:38) Legalities & tech advances
(26:18) AI in coding & CodeLama
(27:23) GPT history & code gen
(29:06) Naming tech tools
(30:10) AI in Dev Environments
(30:48) Advice to young engineers
(33:02) End discussion insights
(33:28) Tech market vs hype
(35:07) Show's closing remarks
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