MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

Patreon: https://www.patreon.com/mlst

Discord: https://discord.gg/ESrGqhf5CB

In this special edition episode, we have a conversation with Prof. Noam Chomsky, the father of modern linguistics and the most important intellectual of the 20th century.

With a career spanning the better part of a century, we took the chance to ask Prof. Chomsky his thoughts not only on the progress of linguistics and cognitive science but also the deepest enduring mysteries of science and philosophy as a whole - exploring what may lie beyond our limits of understanding. We also discuss the rise of connectionism and large language models, our quest to discover an intelligible world, and the boundaries between silicon and biology.

We explore some of the profound misunderstandings of linguistics in general and Chomsky’s own work specifically which have persisted, at the highest levels of academia for over sixty years.

We have produced a significant introduction section where we discuss in detail Yann LeCun’s recent position paper on AGI, a recent paper on emergence in LLMs, empiricism related to cognitive science, cognitive templates, “the ghost in the machine” and language.


Panel:

Dr. Tim Scarfe

Dr. Keith Duggar

Dr. Walid Saba


YT version: https://youtu.be/-9I4SgkHpcA


00:00:00 Kick off

00:02:24 C1: LeCun's recent position paper on AI, JEPA, Schmidhuber, EBMs

00:48:38 C2: Emergent abilities in LLMs paper

00:51:32 C3: Empiricism

01:25:33 C4: Cognitive Templates

01:35:47 C5: The Ghost in the Machine

01:59:21 C6: Connectionism and Cognitive Architecture: A Critical Analysis by Fodor and Pylyshyn

02:19:25 C7: We deep-faked Chomsky

02:29:11 C8: Language

02:34:41 C9: Chomsky interview kick-off!

02:35:39 Large Language Models such as GPT-3

02:39:14 Connectionism and radical empiricism

02:44:44 Hybrid systems such as neurosymbolic

02:48:47 Computationalism silicon vs biological

02:53:28 Limits of human understanding

03:00:46 Semantics state-of-the-art

03:06:43 Universal grammar, I-Language, and language of thought

03:16:27 Profound and enduring misunderstandings

03:25:41 Greatest remaining mysteries science and philosophy

03:33:10 Debrief and 'Chuckles' from Chomsky

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(260)

Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov

Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov

Tim Scarfe speaks with Ilia Shumailov and Alexander Panfilov about their paper, Stealing Reasoning Traces from Proprietary LLM APIs.The core bug sounds deceptively simple: providers return encrypted r...

22 Aug 49min

Every Exponential Ends — Silicon Valley Forgot — Adam Becker

Every Exponential Ends — Silicon Valley Forgot — Adam Becker

Astrophysicist Adam Becker, author of "What Is Real?", joins Tim Scarfe to take apart the futures Silicon Valley keeps selling: the 2045 singularity, mind uploading, Mars colonies, and the AI apocalyp...

20 Aug 1h 18min

AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart

AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstWhy can deep networks discover abstractions that shallow models miss? Statistical phys...

10 Aug 1h 18min

How Researchers Test AI for Hidden Goals — Apollo Research

How Researchers Test AI for Hidden Goals — Apollo Research

Can an AI do the right thing for the wrong reason? Tim Scarfe speaks with Apollo Research’s Alexander Meinke, Axel Højmark and Jérémy Scheurer about Measuring Reward-Seeking via Contrastive Belief Upd...

31 Jul 1h 18min

Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)

Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstBritain's most capable coding model can't be exported, and that ban is the whole reaso...

13 Jul 55min

 The Benchmark With No Instructions — ARC-AGI-3 (winning team!)

The Benchmark With No Instructions — ARC-AGI-3 (winning team!)

Tim Scarfe travels to Zurich to sit down with the Tufa Labs ARC-AGI-3 team — founder Benjamin Crouzier, with Jeroen Cottaar, Dries Smit, Stefano Viel and Michal Tesnar — to work out what their leaderb...

1 Jul 1h 24min

The Thermodynamic AI Computing Chip - Thomas Ahle

The Thermodynamic AI Computing Chip - Thomas Ahle

Thomas Ahle wants Normal Computing to be the Lovable for chip design: type your intent, and a swarm of agents carries it from design through optimisation, formalisation and verification to tape-out. T...

28 Jun 1h 2min

He won a Nobel here for AlphaFold. Then he left. - John Jumper

He won a Nobel here for AlphaFold. Then he left. - John Jumper

This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstProtein folding stalled biology for fifty years. A sequence of amino acids dictates a ...

22 Jun 53min

Populært innen Teknologi

lydartikler-fra-aftenposten
teknisk-sett
tomprat-med-gunnar-tjomlid
smart-forklart
rss-kunstig-intelligens-med-elisabeth-maren-og-morten
nasjonal-sikkerhetsmyndighet-nsm
shifter
elektropodden
rss-alt-som-gar-pa-strom
energi-og-klima
fornybaren
rss-snakk-om-sikkerhet
rss-ki-praten
teknologi-og-mennesker
rss-ai-forklart
pedagogisk-intelligens
rss-heis
rss-fisketimen
rss-bak-skyen
rss-god-blanding