Machine Learning Street Talk (MLST) Podcast Transcripts
Machine Learning Street Talk (MLST) · 269 episodes with transcripts
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis.
Spoken has transcripts of 269 Machine Learning Street Talk (MLST) episodes, with the speakers named. The newest listed here is from October 10, 2026.
Every Machine Learning Street Talk (MLST) transcript in one script
269 episodes of Machine Learning Street Talk (MLST) have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:
curl -s -H "x-api-key: YOUR_KEY" \
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| while IFS=' ' read -r id title; do
slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
[ -f "${id}-${slug}.md" ] && continue
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-o "${id}-${slug}.md" \
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sleep 0.34
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269 credits. Credits never expire. Excludes VAT, added at checkout for EU customers.
Latest Machine Learning Street Talk (MLST) transcripts
What Most People Get Wrong About Evolution | Akarsh Kumar
October 10, 2026
SPEAKER_1 (0:00)
Your heart can tell you a lot about your health. Apple Watch Series 12 measures your heart rate every five seconds with the most accurate heart rate sensing in a wearable. So your vitals app, now with heart rate variability, can tell you when something is off. And your readiness score can let you know when to rest…
The features described are for wellness purposes only and not for medical use. iPhone 11 or later required. Based on Apple conducted study of heart rate accuracy August 2026, visit apple.com/applewatchseries12.
SPEAKER_2 (0:31)
This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50 page restoration block or finally break down that long article you've had open for weeks. Gemini and…
Akarsh Kumar (0:56)
I would just want to clarify, evolution is anything but random.
So artificial life is really about understanding, like you said, life as it could be rather than life as it is. We need to understand the space of all possible intelligences, the space of all possible life forms that can be.
- What Most People Get Wrong About Evolution | Akarsh Kumar
- How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
- Who Checks a Proof No Human Can Read? — Leo de Moura
- When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
- How Deep Learning Finally Cracked Messy Tables - Frank Hutter
- Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
- How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
- Speech Recognition Is Not a Solved Problem — Pavan Muddireddy
- How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
- AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen
- Designing How AI Grows — Tom McGrath
- How Researchers Test AI for Hidden Goals — Apollo Research
- Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
- The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
- The Thermodynamic AI Computing Chip - Thomas Ahle
- He won a Nobel here for AlphaFold. Then he left. - John Jumper
- Superintelligence Strategy (Dan Hendrycks)
- Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?
- Sara Hooker - Why US AI Act Compute Thresholds Are Misguided
- #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
- Sara Hooker - The Hardware Lottery, Sparsity and Fairness
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