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Elon’s Tesla AI Update (everything hinges on this)

Elon Musk’s future success with Tesla, potentially leading to a valuation of $8.5 trillion, is contingent upon the company’s advancements in AI chip development and deployment of autonomous vehicles and robots.

Questions to inspire discussion.

Tesla’s AI Chip Development.
🖥️ Q: What is Tesla’s new focus for AI chip development? A: Tesla is ending Dojo and concentrating all silicon talent on creating a single, powerful chip called AI6, aiming to make it the best AI chip by far.

Elon’s Cryptic Post Sparks Big Questions

Questions to inspire discussion.

🌐 Q: What distinguishes embedded AI from language models like ChatGPT? A: Embedded AI interacts with the real world, while LLMs (Large Language Models) primarily answer questions based on trained information.

Chip Production and Supply.

💻 Q: What are Samsung’s plans for chip production in Texas? A: Samsung’s new Texas chip plant will produce 2nm chips with 16,000 wafers/month by the end of 2024, boosted by a $16B Tesla deal.

🔧 Q: How will the Samsung-Tesla deal impact Tesla’s chip supply? A: The deal will significantly boost Tesla’s chip supply, producing 17,000 wafers per month of 2 nanometer chips reserved solely for Tesla.

AI Infrastructure and Applications.

Elon Musk Pushes Tesla Forward

Questions to inspire discussion.

📷 Q: What camera technology does the Optimus bot use? A: Optimus uses car cameras with macro modes for reading small text, supplied by Simco (a Samsung division), featuring a miniaturized camera assembly with internal movement mechanisms.

Tesla AI and Chip Development.

🧠 Q: How does Tesla’s AI5 chip compare to competitors? A: The AI5 chip is potentially the best inference chip for models under 250 billion parameters, offering the lowest cost, best performance per watt, and is milliseconds faster than competitors.

💻 Q: What advantages does Tesla have in chip development? A: Tesla controls the chip design, silicon talent, and has vertical integration, giving them a significant edge over competitors in AI chip development.

Tesla Product and Business Updates.

Satiation variability prediction using AI for obesity treatment

Meal size and termination is regulated by a process called satiation, which varies widely among adults with obesity.

The researchers assessed calories to satiation (CTS) and integrated a machine learning genetic risk score (CTSGRS) to predict obesity treatment outcomes.

High CTS or CTSGRS identified individuals who responded better to phentermine-topiramate, whereas low CTS or CTSGRS predicted greater weight loss with liraglutide, highlighting personalized obesity therapy.

Can Microsoft’s analog optical computer be the answer to more energy-efficient AI and optimization tasks?

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing’s energy and latency demands will likely continue to rise, challenging their sustainability.

Unsurprisingly, the reliance on these technologies in our modern world has researchers scrambling to produce more energy-efficient ways to move forward—and Microsoft might be ahead of the game. Microsoft’s researchers, along with a team from Cambridge University, have developed a new analog optical computer (AOC) that has the potential to give AI, as well as combinatorial optimization, a much needed boost in efficiency.

The AOC prototype is described in a recent study by the group that was published in Nature. The group combined analog electronics and microLED arrays, spatial light modulators, and photodetector arrays to accelerate both AI inference and combinatorial optimization on a single platform.

Scientists harness the power of collapsing bubbles to propel tiny robots

A team of scientists from China and the U.S. is pioneering the development of bubble-powered robots, which could one day replace needles for painless drug delivery into the body. Inspired by nature, the researchers developed a new technique that harnesses the energy released by a collapsing bubble in a liquid, a process known as cavitation.

The natural world has evolved ingenious ways to exploit cavitation for movement. For example, ferns use it within specialized cells in their sporangia to catapult spores, and mantis shrimps snap their appendages with such force that the resulting bubbles collapse with enough energy to stun their prey.

In their study, published in the journal Science, the team details how they used cavitation as a propulsion system for . They built millimeter-sized robots, called “jumpers,” out of , polypyrrole and titanium carbide that heated up quickly when hit by a laser.

Salesloft: March GitHub repo breach led to Salesforce data theft attacks

Salesloft says attackers first breached its GitHub account in March, leading to the theft of Drift OAuth tokens later used in widespread Salesforce data theft attacks in August.

Salesloft is a widely used sales engagement platform that helps companies manage outreach and customer communications. Its Drift platform is a conversational marketing tool that integrates chatbots and automation into sales pipelines, including integrations with platforms like Salesforce.

The two have been at the center of a major supply-chain style breach first disclosed in late August, with Google’s Threat Intelligence Group attributing the attacks to UNC6395.

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