Agentic AI Systems Levels - The report explains 5 levels of Agentic AI systems with visuals [1]

RT Don Scanlan (@don_scanlan5207)This is yet another brilliant expose by Mike Benz. Incredibly educational fast paced jaw-dropping fact revealing roller coaster ride thru the twisted interconnected world of intel agencies and their nice sounding named "independent" organizations of peace (no violence, no, no, no), that are the most violent brutal ruthless violent CIA/State Dept friends a corrupt killer agency could ever ask for. ...

Autonomous Driving History and Challenges - Autonomous driving research started in the 1980s with simple neural networks and evolved to end-to-end driving models by 2020 [2] - Scaling autonomous driving presents challenges, requiring solutions for long-tail events and rare scenarios [5][7] - Foundation models, like Gemini, show promise in generalizing to rare driving events and providing appropriate responses [8][9][10][11] Emma: A Multimodal Large Language Model for Autonomous Driving - The company is exploring Emma, a driving system leveraging Gemini, which uses routing text and camera input to predict future waypoints [11][12][13][14] - Emma is self-supervised, camera-only, and high-dimension map-free, achieving state-of-the-art quality on the nuScenes benchmark [15][16][17] - Channel reasoning is incorporated into Emma, allowing the model to explain its driving decisions and improve performance on a 100k dataset [17] Evaluation and Validation - Evaluation is crucial for the success of autonomous driving models, including open loop evaluation, simulations, and real-world testing [25] - Generative models are being explored for sensor simulation to evaluate the planner under various conditions like rain and different times of day [26][27][28] Future Directions - The company aims to improve generalization and scale autonomous driving by leveraging foundation models [30] - Training on larger datasets improves the quality of the planner [19][20] - The company is exploring training on various tasks, such as 3D detection and rograph estimation, to create a more generalizable model [21][22][23][24]

Would also add there’s a third category of ppl who just engagement bait by saying it’s dead but they don’t actually believe that ...

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Core Viewpoint - The resurgence of meme stocks is driven by retail traders, reminiscent of the 2021 craze, with potential for even larger rallies as they mobilize online and disregard Wall Street skepticism [1][6]. Group 1: Retailer Performance - Retailers such as Kohl's, GoPro, Wendy's, and Krispy Kreme experienced significant stock rallies, with Kohl's up 32%, GoPro up 66%, and Krispy Kreme up 41% over the week [6]. - American Eagle Outfitters saw a 10% increase in shares after actress Sydney Sweeney was announced as the face of its marketing campaign [3]. Group 2: Market Dynamics - The current market environment, characterized by high trading volumes and speculative behavior, is conducive to meme stock rallies, similar to the conditions during the Covid era [6][10]. - The meme-stock phenomenon is often detached from traditional economic fundamentals, with investors supporting brands for emotional or ideological reasons rather than financial metrics [7][10]. Group 3: Community Influence - The wallstreetbets forum empowers retail traders to share research and ideas, leading to a decentralization of financial analysis and investment power [5]. - The community's influence is evident as retail traders push stock prices significantly, demonstrating the power of collective action [5]. Group 4: Cultural Impact - The meme culture surrounding stocks, such as Wendy's, illustrates how humor and social media can drive investment decisions, often independent of market fundamentals [8][10]. - The evolving landscape of finance, including the rise of blockchain and AI trading, reflects a shift in how retail traders engage with the market [4].

Core Viewpoint - Geoffrey Hinton, known as the "father of artificial intelligence," visited Shanghai, China, for discussions on AI advancements, emphasizing the intersection of AI and scientific discovery [1][2][3] Group 1: Hinton's Visit and Discussions - Hinton's visit included a public dialogue with Zhou Bowen, director of the Shanghai Artificial Intelligence Laboratory, focusing on cutting-edge AI research [2][3] - The dialogue covered topics such as multimodal large models, subjective experience, and training "kind" superintelligence [3][9] - Hinton's presence was met with enthusiasm, as attendees applauded and recorded the event, highlighting his significance in the AI field [2] Group 2: AI and Scientific Discovery - Zhou Bowen presented the "SAGE" framework, which integrates foundational models, fusion layers, and evaluation layers to elevate AI from a tool to an engine for scientific discovery [3] - Hinton noted that AI has the potential to significantly advance scientific research, citing examples like protein folding and weather prediction, where AI outperforms traditional methods [16][17] Group 3: Perspectives on AI Consciousness - Hinton expressed the view that current multimodal chatbots possess a form of consciousness, challenging conventional beliefs about AI capabilities [9][13] - He discussed the importance of understanding subjective experience in AI, suggesting that many misconceptions exist regarding how these concepts operate [12] Group 4: Training AI for Kindness - Hinton proposed that training AI to be both intelligent and kind involves different methodologies, allowing countries to share techniques for fostering AI kindness without compromising intelligence [14][15] - He emphasized the need for ongoing research to develop universal methods for instilling kindness in AI systems as they become more intelligent [15][16] Group 5: Advice for Young Researchers - Hinton advised young researchers to explore areas where they believe "everyone is wrong," encouraging persistence in their unique approaches until they understand the reasoning behind established methods [18]

Gm friends - touching grass a decent bit today with the fam but had a few thoughts rumbling around to get out:- You actually can just do things. A high agency lifestyle is extremely exciting- it’s not intellectually dishonest to point out flaws in a system while still utilizing the system- there’s a lot of cool stuff being built in crypto and a lot of garbage/vaporware. You’re ability to succeed and make money hinges on your ability to identify both (you can make money on both, but it requires different str ...

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