Welcome to MLST.

Machine Learning Street Talk is the largest in-depth technical podcast on Spotify and YouTube. Thanks for finding us here!

We are always interested in partnering with high-value sponsors.

  • We prefer 1+ year deep partnerships with product-based AI or AI-adjacent companies/startups.

  • We have an extremely high-quality / technical audience of engineers and research scientists, arguably the highest quality of any podcast in the space. MLST is not for the feint of hearted and is the best filter imaginable if you want to select for talent.

  • We have deals for coverage at specific conferences i.e. NeurIPS

  • Email tim on this domain name. Please no agents or agencies. Please put budget in subject line.


Hello! Tim Scarfe speaking here.

Who Are We and what is MLST all about?

"Machine Learning Street Talk" co-hosts Tim Scarfe and Keith Duggar.

Dr. Tim Scarfe (left) started a successful software startup called Dot Net Solutions back in 2003, he has done stints at Microsoft as a Principal Engineer, Chief Data Scientist at bp, and founded several other tech startups and has a Ph.D in machine learning and a first-class degree in computer science.

Dr. Keith Duggar (right) who is often a co-interviewer on MLST — obtained his Ph.D from MIT and has done stints at IBM research, Wall Street, and Microsoft.

What is the ethos of MLST?

Intellectual curiosity, depth, diversity, forward-thinking and production quality.

We want to understand a broad range of views in the AI space, be it symbolic AI, deep learning research, evolutionary methods, AI safety, AI philosophy and even highly skeptical AI positions. A good kick start into our content is to check out our special editions and staff favourites playlists.

This level of diversity is fairly unheard of in the podcasting space where you find echo chambers, tech bro hype and audience capture.

We are very forward-looking on AI research — we were covering many popular techniques years before they became mainstream, whether it was LLMs, active inference, neurosymbolic models or open-endedness. Unlike most podcasts, we embrace the gnarly complexity of the tech and convey information at an extremely rare level of depth. We don’t dumb things down, we spend a significant amount of time preparing and editing, and have been experts in the field ourselves for decades. We also don’t clout-chase guests, preferring to hand-pick highly technical guests and elevate their voices in a way that only MLST can. We also publish original written and video essays.

We are in the rare position that our income does not depend on our technical opinion, which means we do not fall into common ideological traps.

We hope MLST will take you on an intellectual journey and be a fun ride! Please join our vibrant Discord Server for technical discussions, and even consider joining our Patreon to support us, get early access to shows and get access to our private Discord and regular meet-ups.

Best regards,

Dr. Tim Scarfe (Jan 2026)

Links:

MLST YouTube channel

MLST Archive (Papers)

MLST ReScript (Transcripts/CMS)

MLST Spotify

MLST Twitter

MLST LinkedIn

MLST Discord

User's avatar

Subscribe to Machine Learning Street Talk (MLST)

We are a media production company making video, audio and written content about machine learning, cognitive science and cognitive philosophy. Our podcast is the highest-rated technical AI podcast on Spotify.

People