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Gemini Advanced, with its AI capabilities, excels in answering questions and providing relevant information. It effectively assists users in finding specific information and generating accurate responses to queries. The system demonstrates strong recall and understanding of context, supporting users in their day-to-day tasks and research projects.
Google is actively developing language models like GPT-4 and Gemini to enhance their performance and utility. With advanced architectures like mixture-of-experts and dedicated focus on improving user experience, these models aim to provide more practical and reliable outputs. Google's emphasis on refining smaller models and enabling larger context windows showcases their commitment to developing useful and accessible language models for a wide range of applications.
OpenAI's Sora and Google's Meta mark advancements in video generation. These tools offer the potential to generate hyper-realistic videos and encode world models, offering new possibilities for entertainment and creativity. While there is excitement surrounding these technologies, practical adoption and usability may still require further development. The impact on filmmaking, content creation, and other creative fields will likely evolve as the technology progresses.
While AI-generated videos present opportunities for diverse applications, skepticism remains regarding their usability in certain fields such as Hollywood. Challenges include inconsistent character representation, difficulties with precise control and fine-tuning, and the need for high-quality output. However, for specific use cases like short films or concept videos, AI can be a valuable tool for enhancing creativity and accessibility.
There are doubts about OpenAI's commitment to openness and safety due to concerns about releasing open source models and the potential risks associated with more advanced models.
While employing a defense in depth strategy is better than no strategy at all, there are concerns that it may not be sufficient to address the challenges posed by more advanced AI models.
There is skepticism towards the idea of weak-to-strong generalization, as evidence suggests that it may not be able to effectively extract and generalize values from weaker models to stronger ones.
There is a lack of groundbreaking solutions in the field of alignment and safety, with no clear strategies that can effectively address the potential risks and challenges posed by advanced AI models.
There is ongoing uncertainty and complexity in the landscape of leading AI players, including concerns about the development of AI in China and the activities of various organizations and their commitment to openness and responsible development.
The podcast discusses the contrasting viewpoints on chip development and the importance of building enough chips for various purposes. It explores the tension between the need to accelerate chip production to keep up with the advancement of AGI technology and the potential risks of fast-paced development. The speaker argues that it is essential to consider national security and the potential consequences of wrong actors gaining access to the chips. The discussion also delves into the financial implications and the allocation of funds for building new power plants and transitioning to green energy.
The podcast provides insights into the current landscape of AI players, focusing on OpenAI, Google, and Meta. It highlights the challenges and progress of each company in terms of AI advancements and alignment work. While OpenAI is considered a leader, it is suggested that other players, like Google, have impressed with their developments. The podcast further touches on the potential impact of China's chip ban and explores the emergence of Groq's LPU, a hardware optimized for transformer language models. The implications of faster and cheaper inference are considered, while acknowledging the need for a more in-depth analysis.
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
NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist.
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.
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Listen to the best highlights from the podcasts you love and dive into the full episode