This isn't news, it's analysis! Nathan Labenz sits down for an with Zvi Mowshowitz, the writer behind Don't Worry About the Vase to talk about the major players in AI over the last few months. In this extended conversation, Nathan and Zvi debate if AI has attained the intelligence of a well-read college graduate (per OpenAI's Yann LeCun), a live player analysis (who to count/ who not to count), and the role of independent red teaming organizations. If you're looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/cognitive

Definitely also take a moment to subscribe to Zvi's blog Don't Worry About the Vase (https://thezvi.wordpress.com/) - Zvi is an information hyperprocessor who synthesizes vast amounts of new and ever-evolving information into extremely clear summaries that help educated people keep up with the latest news. Highly recommend.

TIMESTAMPS:
(00:00) Episode preview
(03:15) Is AI as intelligent as a college grad?
(07:45) Memories and context processing
(15:45) Sponsor: NetSuite | Omneky
(17:13) Is AI as intelligent as a college grad? cont'd
(20:47) Strengths and weaknesses of AI vs human
(31:05) OpenAI Superalignment
(37:23) The relationship between OpenAI and Anthropic
(44:31) Anthropic's security recommendations and adversarial attacks
(50:50) Is OpenAI using a constitutional AI approach? 
(01:01:26) Context and stochastic parrots
(01:10) Is more context better?
(01:15:29) Should Nathan work at Anthropic?
(01:21:35) Google DeepMind's RT-2
(01:27:47) Multi-modal Med-PaLM
(01:31:50) Speculating about Gato
(01:35:10) Skepticism about Med-PaLM usage in radiology
(01:41:37) Llama 2 - what is going on at Meta??
(01:51:14) Llama 2 vs other models
(01:55:29) Who are the live players?
(02:01:38) China's AI developments
(02:02:41) Character AI and Inflection
(02:05:26) Replit as the perfect substrate for AGI
(02:10) AI girlfriends
(02:18:53) AI safety: The White House
(02:25:43) Bottlenecks to progress
(02:35:27) Can new players influence AI policy?
(02:39:00) Liabilities
(02:47:54) Independent red teaming organizations
(02:57:18) Mechanistic interpretability

LINKS
Zvi's blog: https://thezvi.wordpress.com/
Google's RT-2: https://www.deepmind.com/blog/rt-2-new-model-translates-vision-and-language-into-action
Gato: https://www.deepmind.com/publications/a-generalist-agent
Llama 2: https://ai.meta.com/llama/
Adversarial attacks paper: https://arxiv.org/abs/2307.15043

X:
@labenz (Nathan)
@thezvi (Zvi)
@eriktorenberg (Erik)
@cogrev_podcast 

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MUSIC CREDIT:
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