M Waleed Kadous

I agree and trying to change that culture overall . Transparency and lessons learned from others is key to success

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You may remember the scene in the movie Avengers: Infinity War in which Doctor Strange looked into the future millions of times to find every possible scenario of an alternative reality. Unfortunately, time travel is not yet possible in real life, but in the near future, you could use AI agents to perform complex reasoning tasks to simulate complex business scenarios. Imagine you are a small law firm representing a client in a complicated case involving multiple parties (government regulators, corporations, local authorities, etc.). You could create various AI agents representing each party and their incentives to play out various scenarios to determine the best action plan for your client. This would enable the wider public to access top expertise. Or imagine a hedge fund that would use AI agents to determine how various market events will play out by simulating the actions of various market participants. You already have the tools for multi-agent workflows at your disposal. For instance, LangChain offers a framework to build and run dynamic, interactive multiagent simulations quickly. Admittedly, challenges persist, such as the reliability of multi-agent collaboration, but the field is evolving rapidly. If you are interested, you may go through the short video presentation below by Andrew Ng, where he provides an overview of agentic AI and what is next for AI agentic workflows - https://lnkd.in/gxyf_DXg

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A gold mine of AI ideas. This podcast between Andrej Karpathy and Sarah Guo / Elad Gil is one of the most insightful and deep discussions of AI and Robotics I’ve ever listened to. Every part of the interview is extremely interesting and full of lessons! Just some of the highlights: - Lessons from cars are extremely transferrable to humanoids. - Tesla is ahead of Waymo and is facing a more surmountable challenge. - Genius of transformer architecture - Roadmap to AGI - The future of education in the AI-powered world https://lnkd.in/g-488TzB

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Time to highlight the contrast between our AI vision at KYield with the West Coast vision for AI, and the extreme implications for the economy and society. West Coast vision of AI (varies, but most common) 1) Transfer the knowledge economy to perhaps a dozen companies in Seattle, SV, and San Francisco (the knowledge economy is the majority of the U.S. economy today). 2) Put everyone on UBI (except them of course), which is a form of subsistence welfare (causing a complete collapse of asset values). As I continue to warn, the economy would collapse and civil war would likely occur long before such a plan matures. The rest of the country and world would be left little choice as that economic vision is dystopian and completely irrational and unsustainable. This vision can only lead to conflict and anarchy. Our vision of AI at KYield 1) Our systems serve the interests and missions of organizations and their employees, not the wealthiest two dozen billionaires, Big Tech, and LLM firms. For the latter to survive they'll be further consumed by Big Tech, which should prove interesting. 2) Our systems make businesses and workers more valuable, provide sovereignty and protection against the most aggressive economic land grab in the history of our species. We seek to diversify and strengthen the economy whereas the West Coast vision seeks to achieve a super consolidation of the economy and wealth for the benefit of very few. Whether by plan or an unlikely stroke of bad luck, several of the billionaire actors who have invested in and are pushing LLMs are survivalists who have built bunkers as they admittedly expect to be sufficiently high probability of an economic collapse to invest in prep, followed by anarchy. Sorry, no room for employees and their families (or anyone else). You are on your own. This is sociopathic behavior folks--if not pure insanity (unhinged), and completely unnecessary. Yes, in our vision there will be job displacement and significant changes in the workplace (we need productivity growth and acceleration of science to survive), but our focus is on reducing risk, empowering people, and strengthening the economy, not sucking customer wealth and the knowledge economy into our company.

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Alphabet committed another $5 billion recently to Waymo's self-driving cars. A renewed vow of confidence. Per my post yesterday, fast growing additional compute and better AI architectures are changing self driving cars rapidly. Notably, some traditional car manufacturers pulled out investments in full self-driving cars. It didn't think the tech was going to be ready for decades to come, if ever. I think it may be a mistake given AI and compute grow exponentially, not linearly. As an example, it may take 20-40 years to achieve 1% of progress, then just 5-10 years for the remaining 99% (instead of 1,000s of years per our intuition) link in comments #AI #Transformers #waymo

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