AI pioneers win Nobel Prizes
Jamie Dimon of JPMorgan Chase on AI, IPOs, US Economy, Fed Rates, 2024
Jamie Dimon on AI, IPOs, US Economy, Fed Rates, 2024
Elon Musk to unveil Tesla robotaxi
AI pioneers win Nobel Prizes
Unlock the full potential of your workday with cutting-edge AI strategies and actionable insights, empowering you to achieve unparalleled excellence in the future of work. Download the free guide today!
***
Jamie Dimon on AI, IPOs, US Economy, Fed Rates, 2024
JPMorgan CEO Jamie Dimon discusses artificial intelligence, initial public offerings, why he thinks the Federal Reserve was right to cut rates by 50 basis points last month, and his decision not to endorse either of the presidential candidates ahead of the Nov. 5 election. He talks with Bloomberg's Lisa Abramowicz on the sidelines of the JPMorgan Tech Stars Conference in London
00:00min - Intro
00:27min - Jamie Dimon on technology, AI and how they will change, enhance jobs
01:37min - Jamie Dimon on what jobs will be changed, enhanced, eliminated by technology
JP Morgan chase is known to infuse AI into its banking and operations very early and wholeheartedly….
Watch the original on Bloomberg TV Youtube
***
Elon Musk to unveil Tesla robotaxi
Elon Musk is set to take the stage tonight at 7 PM PST (10 PM EST) for Tesla's highly anticipated "We, Robot" event, as announced on X. The event is expected to unveil a new robotaxi prototype featuring two seats and distinctive butterfly wings.
Musk has hinted that once operational, some of the robotaxis within Tesla's network may be owned and managed by the company itself. Additionally, Tesla owners could have the opportunity to rent out their vehicles on the network when not in use.
In contrast, rival companies like Waymo, a subsidiary of Alphabet, have already deployed their own robotaxis on select U.S. roads. Tesla's approach to self-driving technology has been markedly different from that of its major competitors, opting for a strategy that carries both significant potential rewards and inherent risks.
Tesla's method relies exclusively on "computer vision," which mimics human sight through cameras, combined with an artificial intelligence technique known as end-to-end machine learning. This technology translates visual data into driving decisions in real-time. It forms the backbone of Tesla's "Full Self-Driving" feature, which, despite its name, still requires human oversight for safe operation. Musk has indicated that this same approach will be applied to the development of fully autonomous robotaxis.
In contrast, competitors such as Waymo, Amazon's Zoox, General Motors' Cruise, and various Chinese firms employ similar technologies but typically incorporate additional layers of safety measures, including radar, Lidar, and detailed mapping systems. These redundancies are designed to enhance safety and facilitate regulatory approval for their driverless vehicles.
While Tesla's strategy is more straightforward and cost-effective, it faces two significant challenges, according to industry experts and a Tesla engineer who spoke to Reuters. First, the absence of layered technologies makes Tesla's system less adept at handling "edge cases"—rare driving scenarios that can confound both autonomous systems and human engineers.
Second, the end-to-end AI technology operates as a "black box," complicating the process of diagnosing failures when accidents occur. This lack of transparency makes it challenging to identify and mitigate potential issues, raising concerns about the safety of Tesla's autonomous driving ambitions.…
Watch the Tesla event on X minute 54:00 start
***
AI pioneers win Nobel Prizes
The Nobel Prizes have long celebrated human intellect, but this year marks a significant milestone as the transformative potential of artificial intelligence (AI) has been officially recognized. On Tuesday, October 8th, Sweden’s Royal Academy of Sciences awarded the Nobel Prize in Physics to John Hopfield of Princeton University and Geoffrey Hinton of the University of Toronto for their groundbreaking contributions to computer science that have been pivotal in the development of many of today’s most advanced AI models.
Geoffrey Hinton, often referred to as the "Godfather of AI," has played a crucial role in the evolution of neural networks, which simulate the workings of the human brain within a computer. His foundational work has been instrumental in the rise of deep learning technologies that underpin modern AI.
The following day, the spotlight turned to the developers of one of these AI models, as Demis Hassabis and John Jumper from DeepMind, Google's AI subsidiary, received half of the Nobel Prize in Chemistry. They were honored for their creation of AlphaFold, a groundbreaking program capable of predicting the three-dimensional structures of proteins—a long-standing challenge in the field of biochemistry. The other half of the chemistry prize was awarded to David Baker, a biochemist at the University of Washington, for his innovative work in designing new proteins using computer-aided techniques….
Read on The Royal Swedish Academy of Science’s Nobel Prize website
Enjoy! SBalley Team