Machine Learning Street Talk (MLST)
by Machine Learning Street Talk (MLST)
Is this your podcast?Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 21 chart positions in 21 markets.
By chart position
- 🇬🇧GB · Technology#5930K to 100K
- 🇨🇦CA · Technology#9330K to 100K
- 🇺🇸US · Technology#1185K to 30K
- 🇦🇺AU · Technology#1285K to 30K
- 🇩🇪DE · Technology#1745K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
86K to 311K🎙 Weekly cadence·249 episodes·Last published 1mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
172K to 621K🇬🇧16%🇨🇦16%🇰🇷16%+18 more - Active Followers
Loyal subscribers who consistently listen
51K to 186K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 17 epsHosts
Recent guests
Recent episodes
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Jul 13, 2026
55m 56s
The Benchmark With No Instructions — ARC-AGI-3 (winning team!)
Jul 1, 2026
1h 24m 34s
The Thermodynamic AI Computing Chip - Thomas Ahle
Jun 28, 2026
1h 02m 59s
He won a Nobel here for AlphaFold. Then he left. - John Jumper
Jun 22, 2026
53m 05s
When AI Decides You're a Threat — Brad Carson
May 31, 2026
1h 20m 51s
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 7/13/26 | AI developmentexport controls+5 | Alistair Pullen | Cosine AIIsambard supercomputer+1 | Bristol | frontier AICosine+7 | Notion | 55m 56s | ||
| 7/1/26 | benchmarkingmachine learning+4 | Benjamin CrouzierJeroen Cottaar+3 | Tufa LabsARC-AGI-3+1 | Zurich | ARC-AGI-3Tufa Labs+5 | — | 1h 24m 34s | ||
| 6/28/26 | chip designopen-source tools+4 | Thomas Ahle | CN101 chipNormal Computing+4 | Zurich | chip designopen-source Verilog simulator+5 | — | 1h 02m 59s | ||
| 6/22/26 | protein foldingAlphaFold+4 | John Jumper | DeepMindAnthropic+4 | — | AlphaFoldprotein folding+5 | Notion | 53m 05s | ||
| 5/31/26 | AI governancemilitary technology+5 | Brad Carson | ClaudeAmericans for Responsible Innovation+1 | — | AI policymilitary ethics+6 | Cyber Fund | 1h 20m 51s | ||
| 5/21/26 | collective intelligencemachine learning+3 | Michael I. Jordan | ScienceUC Berkeley+1 | — | AImachine learning+3 | Cyber Fund | 1h 17m 09s | ||
| 5/4/26 | AI timelinesreward hacking+4 | Beth BarnesDavid Rein | METROpenAI+4 | — | AI modelsreward hacking+4 | Prolific | 1h 53m 26s | ||
| 3/13/26 | AI frameworksevolutionary algorithms+5 | Robert Lange | GPT-5Sonnet 4.5+8 | — | Shinka EvolveAlphaEvolve+7 | NVIDIACODE | 1h 18m 06s | ||
| 3/3/26 | AI-assisted codingfine-tuning+4 | Jeremy Howard | fast.aiKaggle | — | AIfine-tuning+5 | NVIDIA | 1h 26m 39s | ||
| 2/16/26 | evolutionsymbiogenesis+3 | Blaise Agüera y Arcas | What is Life?What is Intelligence? | — | evolutionmutation+5 | — | 55m 48s | ||
| 1/25/26 | intelligenceagency+4 | Dr. Jeff Beck | — | — | intelligenceagency+6 | — | 46m 56s | ||
| 1/23/26 | philosophy of neuroscienceunderstanding the mind+4 | Mazviita Chirimuuta | The Brain Abstracted | — | neurosciencemachine consciousness+5 | — | 53m 37s | ||
| 1/23/26 | brain metaphorsscientific simplification+4 | Professor Mazviita ChirimuutaFrancois Chollet+4 | — | — | brainmetaphor+5 | — | 42m 04s | ||
| 12/31/25 | Bayesian inferenceAI development+3 | Dr. Jeff Beck | — | — | Bayesian BrainAI+3 | ProlificCODE | 1h 16m 37s | ||
| 12/30/25 | brain evolutionhuman intelligence+5 | Max Bennett | AmazonYour Brain Is a Guessing Machine+1 | — | neuroscienceAI+5 | — | 3h 17m 09s | ||
| 12/27/25 | knowledgeeconomics of ideas+3 | César Hidalgo | Center for Collective LearningThe Infinite Alphabet | — | knowledgeinformation+5 | — | 1h 37m 05s | ||
| 12/24/25 | AI intelligenceconsciousness+5 | Dr. Mike Israetel | RP StrengthThe Simulation Debate+1 | — | AIintelligence+5 | — | 2h 55m 46s |
![The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1777894865466-6073457253175.jpg){kind=small}
![VAEs Are Energy-Based Models? [Dr. Jeff Beck] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1769335228067-f8b24f63a90ce.jpg){kind=small}
![Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1769164604861-4d213e7b7ad83.jpg){kind=small}
![Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1769164243064-406a3829dadce.jpg){kind=small}
![Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1767519058125-70e9deee2645.jpg){kind=small}
![Your Brain is Running a Simulation Right Now [Max Bennett] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1767079339335-a109222a5f86d.jpg){kind=small}
![The 3 Laws of Knowledge [César Hidalgo] episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1766860551345-874e1b9b40007.jpg){kind=small}
Showing 17 of 17
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Chart history for Machine Learning Street Talk (MLST)
Peaked at #14 in VN, currently #14 in VN.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| VN | — | #14 | #14 | — |
| South Korea | — | #42 | #42 | — |
| RO | — | #49 | #49 | — |
| United Kingdom | — | #59 | #59 | — |
| AT | — | #74 | #74 | — |
| HU | — | #77 | #77 | — |
| South Africa | — | #80 | #80 | — |
| Norway | — | #83 | #83 | — |
| India | — | #90 | #90 | — |
| Canada | — | #93 | #93 | — |
| United States | — | #118 | #118 | — |
| Italy | — | #118 | #118 | — |
| CH | — | #124 | #124 | — |
| CZ | — | #125 | #125 | — |
| Australia | — | #128 | #128 | — |
| AE | — | #130 | #130 | — |
| IS | — | #138 | #138 | — |
| Denmark | — | #146 | #146 | — |
| PT | — | #173 | #173 | — |
| Germany | — | #174 | #174 | — |
Chart Positions
21 placements across 21 markets.
Chart Positions
21 placements across 21 markets.