Advancements in AI Model Context Capabilities and Practical Implications

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Recent advancements in AI models are significantly increasing context window sizes, from 4000 to 10 million tokens, leading to improved recall reliability. The ability to derive accurate information from extensive context is seen as a game-changer for various applications like email management. These advancements are enhancing practical utility by enabling faster and more accurate retrieval of information, revolutionizing tasks that heavily rely on memory and recall. The potential to boost effectiveness in applications like email assistants highlights the transformative impact of improved context capabilities in AI models.

In this episode, Zvi Mowshowitz returns to the show to discuss OpenAI’s Sora model, Google’s Gemini announcement, Anthropic’s Sleeper Agents, and other live player analysis. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api

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.

LINKS:

-Zvi’s Blog: https://thezvi.substack.com/

- Waymark The Frost Episode: https://www.youtube.com/watch?v=c1pPiGD7cBw

-Anthropic Sleeper Agents: https://www.anthropic.com/news/sleeper-agents-training-deceptive-llms-that-persist-through-safety-training

SPONSORS:

The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api

Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off www.omneky.com

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X/Social:

@TheZvi (Zvi)

@labenz (Nathan)

@CogRev_Podcast

TIMESTAMPS:

(00:04:37) - Zvi’s feedback on the type of content the show should create

(00:05:33) - Zvi’s experience with Gemini

(00:09:42) - Speculating on Google Gemini’s launch timing

(00:12:54) - Advantages of Gemini

(00:16:11) - Sponsors: Brave

(00:25:00) - Speculating on Gemini 1.5 and market dynamics for foundational models.

(00:28:18) How long context windows change things

(00:30:57) - Sponsor: Netsuite | Omneky

(00:41:06) - LLM Leaderboards

(00:43:37) - Physics world modelling in OpenAI Sora

(00:57:25) - Object permanence in Sora

(01:04:40) - Experiments Zvi would run on Sora

(01:06:21) - Superalignment and Anthropic Sleeper Agent

(01:10:47) - When do agents actually start to work?

(01:16:00) - Raising the standard for AI app developers

(01:22:07) - Dangers of open soure development

(01:30:53) - The future of compact models

(01:33:58) - Superalignment

(01:53:00) - Meta

(01:54:20) - Mistral’s hold over the regulatory environment

(02:04:16) - The Impact of Chip Bans on AI Development

This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at erik@turpentine.co.