MENGENAI PODCAST INI 🔗
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. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Kekerapan kemas kini:
every 4 days
Purata panjang audio:
91 minutes
Temu bual tetamu
Mempunyai penaja
Bahasa Inggeris
Amerika Syarikat
276 episod
sejak 24 Apr 2020
episodic
AUDIENCE OF THIS PODCAST 🔗
~68.98% of listeners are from United Kingdom.
🇬🇧
GB
68.98%
🇺🇸
US
15.57%
🇩🇪
DE
3.75%
🇨🇦
CA
1.44%
🇫🇷
FR
1.11%
🇸🇬
SG
0.72%
🇳🇱
NL
0.60%
🇵🇱
PL
0.60%
🇮🇳
IN
0.53%
🇮🇸
IS
0.48%
🇦🇺
AU
0.38%
🇸🇪
SE
0.36%
🇪🇸
ES
0.34%
🇨🇭
CH
0.27%
🇫🇮
FI
0.25%
🇨🇴
CO
0.22%
🇭🇰
HK
0.22%
🇮🇪
IE
0.21%
🇧🇪
BE
0.19%
🇯🇵
JP
0.19%
🇧🇷
BR
0.18%
🇵🇹
PT
0.18%
🇳🇬
NG
0.17%
🇻🇳
VN
0.16%
🇮🇹
IT
0.13%
🇦🇹
AT
0.13%
🇳🇿
NZ
0.13%
🇦🇷
AR
0.12%
🇷🇴
RO
0.12%
🇮🇩
ID
0.12%
🇰🇪
KE
0.10%
🇿🇦
ZA
0.10%
Others
1.95%
* Data source: directly measured on Listen Notes. masa nyata
EPISOD TERKINI 🔗
Joscha Bach is a cognitive scientist and the founder of the California Institute for Machine Consciousness.
SPONSOR:
---
Parallel is a single platform for all your agentic research: web search built for AI agents, with Pareto-optimal quality, cost and speed.
Get started: https://parallel.ai/mls ...
CARI EPISOD LEPAS
Cari episod lepas bagi Machine Learning Street Talk (MLST).
EPISOD SEBELUMNYA 🔗
Kevin Hartnett is the author of *The Proof in the Code*.SPONSOR:---Cyber Fund built the Monastery to help founders ship products that were impossible a year ago. Applications for Batch 1 are now open.Apply now: https://cyber.fund---In 1998 Thomas Hales finished a proof of the Kepler conjecture t ...
A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Selection hangs on to partial solutions, so mutations only need to be useful about 1% of the time for the search to keep making progress.Akarsh ...
Tsung-Hsien (Shawn) Wen, CTO of PolyAI, tells Tim Scarfe why voice agents are harder than text agents. Voice adds time, and a good conversation depends on adapting to the person on the line, not just on reasoning to the best answer. Shawn describes an audio-native model (Dialog-RSN-1) that first ...
Leonardo de Moura created Lean and co-created Z3. ---This episode is sponsored by Parallel.Parallel, where agents find answers: web search, extraction and deep research APIs built for AI agents.Start free with the Parallel MCP server and $5 of credits every month: https://parallel.ai/mlst?utm_so ...
Weco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fixed. Tim Scarfe asks Weco co-founder Zhengyao Jiang what the reported gains over two years of human engineering actually demonstrate.The ...
Frank Hutter, co-founder of Prior Labs, talks about TabPFN, a tabular foundation model that makes predictions in a single forward pass, and the research behind it.
TabPFN is pre-trained on synthetic datasets drawn from a prior over structural causal models, rather than on real data. At predicti ...
Alexander Mattick is a researcher at Fraunhofer IIS and a PhD researcher at the University of Technology Nuremberg (UTN), and a regular on Yannic Kilcher's Discord. He first came on MLST in 2022, after helping research the Yann LeCun and Randall Balestriero episode on interpolation.
SPONSOR:
-- ...
The car making a left turn at the start of this episode was never filmed. Cosmos 3 generated it. Ming-Yu Liu, who leads the Cosmos research at NVIDIA, explains how one model can describe a video, generate one, and produce robot actions.
He walks Tim through the architecture. A vision language m ...
Pavan Kumar Reddy leads audio research at Mistral AI. He joins Tim Scarfe for a deep technical tour of Voxtral — and explains why the frontier of deployed voice is still a cascade of specialised models rather than one end-to-end system.
IN PARTNERSHIP WITH MISTRAL AI:
---
This episode was produ ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Machine Learning Street Talk (MLST), yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
ENJIN PENCARIAN PODCAST
Anda boleh menggunakan tapak web kami untuk mencari podcast3,833,673dan episod197,113,933mengikut orang, tempat atau topik.
If I have seen further than others, it is by listening to podcasts and standing upon the shoulders of
giants.
‐ Isaac "Llamacorn" Newton
CARI EPISOD LEPAS
Cari episod lepas bagi Machine Learning Street Talk (MLST).
TUNTUT PODCAST INI
Why to claim podcasts?
If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes
podcast pages.
It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
✓
Manually refresh the RSS feed to sync up
✓
Get a verified badge (
✓
) alongside with your podcast name on Listen Notes
✓
Post iklan baris for sponsorship,
guests, co-hosts,
cross-promotion...
✓
Respond to listener comments on Listen Notes
✓
Use speech-to-text techniques to transcribe your show and
edit transcripts
✓
Improve the presence of your podcasts, e.g., self-service
temu bual podcaster...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
akaun X rasmi kami (dahulunya Twitter) will retweet to promote
your show to our followers.
Coming soon:
◯ Self-service promotion on Listen Notes
◯ Track your podcast stats on Listen
Notes, e.g., listens, page
views...
◯ Manage episodes
SUNTING
Terima kasih kerana membantu memastikan pangkalan data podcast dalam keadaan terkini.
