Our guest today has updated his financial and business model for Tesla Bot Gen 2. With these new capabilities, what are the use cases and what’s the forecast for Tesla’s revenue and margins. Follow Cern on X: @CernBasher Website: BrilliantAdvice.net My website: https://www.herbertong.com Get Free TESLA Milestone Tables Check out 15+ modules of resources for the $TSLA Investor Join this channel or Patreon to get access to perks: Get free access to 15+ modules of TSLA investor resources Become a member: https://www.youtube.com/channel/UC4DBLlq1x0AKmip1QJUcbXg/join Join my Patreon: https://www.patreon.com/brighterwithherbert Use my referral link to buy a Tesla product: https://ts.la/herbert23392 ❤️ Thank you to everyone who supports me and this channel! I really do appreciate your likes, subscribes and comments. Let’s get brighter! Website: www.herbertong.
New research on electrochemical reactions highlights the critical role of electrolyte ions, aiding in the advancement of sustainable energy technologies.
Electrochemical reactions are central to the green transition. These reactions use the electric current and potential difference to carry out chemical reactions, which enables binding and realizing electric energy from chemical bonds. This chemistry is the basis for several applications, such as hydrogen technology, batteries, and various aspects of circular economy.
Developments and improvement in these technologies require detailed insight into the electrochemical reactions and different factors impacting them. Recent studies have shown that besides the electrode material also the used solvent, its acidity, and the used electrolyte ions crucially impact the efficiency of electrochemical reactions. Therefore, recent focus has shifted to studying how the electrochemical interfaces, i.e. the reaction environment at the electrode and the electrolyte interface shown in Figure 1, impact the outcome of electrochemical reactions.
This is the BEST and most complete deep dive on the financial models for Tesla’s 11 major business units! James from InvestAnswers comes with data and analysis of the seasonality of Tesla stock showing its volatile movement as it compares to the macro economy and the S and P 500. Together we adjust the assumptions and metrics in his dynamic financial model. Come join us! The spreadsheet used in the video will be made available to everyone once James finalizes it first James runs a very successful YouTube channel called InvestAnswers where he shares insights on financial freedom, real estate, crypto, stocks, and options.
As a leading venture capitalist, Ted Dintersmith lived and breathed the world of innovation. He has seen first-hand how quickly automation is eliminating the structured jobs in our economy, as well as the opportunities for young adults who are bold, creative, and entrepreneurial. As Ted shifted his focus to the future of our schools, he realized that the core purpose of our schools has been lost in a wave of testing, data, and accountability. In this talk, Ted underscores the potential for our kids and our country if we educate to our innovative and creative strengths, and trust our schools and teachers to prepare our kids for life, instead of for standardized tests.
After a twenty-five year career in venture capital, Ted Dintersmith is now focused on issues at the intersection of innovation and education. In the fall of 2012, Ted served as part of the delegation representing the United States at the United Nations General Assembly, where he focused on global education and entrepreneurship. The first two films he executive produced – Most Likely To Succeed and The Hunting Ground – premiered at Sundance, 2015. His website http://www.edu21c.com describes his initiatives and he can be followed @dintersmith.
Ted is a Partner Emeritus with Charles River Ventures, a leading early-stage venture capital firm. Independent industry analysts ranked Ted as the top-performing venture capitalist in the United States for the 1995–99 period. Ted earned a Ph.D. in Engineering from Stanford University, and his undergraduate degree from the College of William and Mary, where he earned High Honors in Physics and English.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
In an era where artificial intelligence (AI) is reshaping the contours of technology, a groundbreaking initiative has emerged: the AI Alliance. The alliance is a consortium of leading organizations spanning various sectors — industry, academia, research, startups, and government–united in their commitment to fostering open innovation and open science in AI.
Created by IBM and Meta, the AI Alliance is a testament to the belief that open and transparent innovation is crucial for harnessing AI advancements in a way that prioritizes safety, diversity, and widespread economic opportunity.
At the heart of the AI Alliance’s mission is creating an open community that accelerates responsible AI innovation while ensuring scientific rigor and trust. The effort is action-oriented and distinctly international, reflecting the global nature of AI’s impact.
The people who were most afraid of the risks of artificial intelligence decided they should be the ones to build it. Then distrust fueled a spiraling competition.
The potential impact of generative AI on the economy, society, and work is polarizing, swinging from the positive benefits of a technological revolution to doomsday scenarios. The authors have come to think about this issue as points on a spectrum and have created a sports analogy to help think about it: AI tools can range from steroids, to sneakers, to a coach, each representing a different relationship between human users and the technology. Steroids elevate short-term performance, but leave you worse off in the long term. AI-powered tools can instead be used to augment people’s skills and make them more productive — much like a good running sneaker. On the most desirable end of the spectrum, AI-powered tools can be used like a coach that improves people’s own capabilities. This framework can be used to help conceptualize how we might craft AI-based tools that enhance rather than diminish human capabilities.
Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.368607 data-title= A Sports Analogy for Understanding Different Ways to Use AI data-url=/2023/12/a-sports-analogy-for-understanding-different-ways-to-use-ai data-topic= AI and machine learning data-authors= Jake M. Hofman; Daniel G. Goldstein; David M. Rothschild data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/11/Nov23_22_200404124-001-383x215.jpg data-summary=
Will next-gen tools be used as a steroid, sneaker, or coach?
