
AI news for humans, not robots. Every weekday, Malcolm Werchota comes out of the cave and explains what actually happened in AI — in plain language, with the numbers checked and the hype taken out. Around ten stories a day: three explained slowly, the rest fast. No jargon. No breathless futurism. Just what happened, what it costs, and who gets handed the bill — explained the way you would explain ... more
| Publishes | Daily | Episodes | 50 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Daily NewsNewsTechnology | |||

AI puts its bills on the table: Anthropic makes $16.8 billion in three months – and investors say "not enough". A bank brings in 1,000 people because AI found too many holes. And Germany says yes to Nvidia.
Today is one question: what happens when t... more
An OpenAI engineer is accused of hiding a $24 recorder behind a TV in an executive meeting room – wrapped in toilet paper. In China, people now rent out their faces to AI for $15 to $700.
Today is one question: when AI can do the job, what is still ... more
A Chinese company announces progress on a memory chip it can't mass-produce yet – and Korea's two biggest chip makers lose five to six percent in one morning. In Berlin, Germany's digital minister wants to tax AI in the morning and talks about no new... more
Missiles hit a school in Iran and at least 123 children die. Months later, the company whose AI helps the US military suggest targets goes on TV and says: the likely cause is human error.
Today is one question: who is to blame when AI goes wrong – t... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #135 | |
Apple Podcasts | #132 |
Listeners, social reach, demographics and more for this podcast.
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This show delivers short, practical takes on AI and tech news with a focus on real-world implications for businesses and leaders. Episodes synthesize recent developments, governance and regulatory shifts, and practical costs and risks, often highlighting how enterprises should govern data usage, manage risk, and plan for AI-driven changes in hiring, operations, and customer interactions. The host leans into concrete examples and actionable prompts, cutting through hype with a business-minded lens. A standout aspect is the consistent emphasis on governance, cost, and human impact, making it useful for listeners who steer corporate strategy, product roadmaps, or technology investments. The format tends to be concise, data-driven, and oriented... more
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AI Neanderthal by Malcolm Werchota launched 2 months ago and published 50 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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