AMD's New Chips, TSMC's Profit Surge, Tesla’s Optimus, and Wikipedia’s Struggle

Happy Monday, AI & Data Enthusiasts! In today's newsletter, we explore major advancements in AI, from AMD’s powerful new AI chips to TSMC’s impressive 40% profit surge driven by AI chip demand. Tesla’s Optimus robot stole the show at the Robotaxi unveiling, while Wikipedia editors struggle to keep up with the rising influx of AI-generated content.

In today’s edition: 

• AMD Unveils Powerhouse AI Chips to Compete with NVIDIA and Intel

• TSMC's Third-Quarter Profits Soar 40% Amid Rising AI Chip Demand

• Optimus Steals the Spotlight at Tesla’s Robotaxi Unveiling Event

• AI-Generated Content is Piling on the Workload for Wikipedia Editors

- Naseema Perveen

WHAT CAUGHT OUR ATTENTION MOST

AMD Unveils Powerhouse AI Chips to Compete with NVIDIA and Intel

AMD is pushing the boundaries of AI computing with the release of its most advanced chips to date, designed to compete with industry giants NVIDIA and Intel. Unveiled at the Advancing AI 2024 event, the new chips promise to accelerate AI workloads, both in data centers and commercial devices. CEO Lisa Su highlighted AMD's mission to create an open AI ecosystem where innovation thrives.

• AMD Instinct MI325X Accelerators: These chips, featuring 256GB of HBM3E, deliver superior performance in generative AI tasks, outperforming NVIDIA’s H200 in model training and inference by up to 1.4x.

• 5th Gen AMD Epyc Processor: The newly launched Epyc server CPUs offer up to 192 cores, reducing power consumption by up to 71% and significantly cutting down on the number of servers required in AI-heavy data centers.

• Pensando AI Networking Solutions: The Pensando Salina DPU and Pollara 400 NIC support secure, high-speed data transfers, enhancing AI capabilities in hyperscale environments with 400G throughput.

• Ryzen Pro 300 Series Laptops: Set for commercial release later this year, these laptops power AI-driven features like Microsoft's Copilot+, with Lenovo’s ThinkPad T14s Gen 6 leading the charge.

With the introduction of cutting-edge AI accelerators, server processors, and networking solutions, AMD continues its quest to disrupt the market and challenge its rivals. As these products roll out, AMD is positioning itself as a key player in shaping the future of AI infrastructure across industries.

IN PARTNERSHIP WITH nCHAIN

nChain Announces First Implementation of Verifiable AI on Bitcoin

Leading experts at nChain have identified and successfully tested ways in which the output of an AI system can be verified using cryptography and blockchain technology. This helps to ensure that AI models adhere to ethical standards such as fairness, transparency, and safety—without revealing proprietary information of the models.

Verifiable AI Inference on Bitcoin: nChain successfully demonstrated verifiable AI inference on Bitcoin, with relevant transactions available on the original protocol Bitcoin, Satoshi Vision Blockchain (BSV Blockchain). The transactions can be found on the mainnet, with the corresponding generation code on GitHub.

• Innovative Machine Learning Applications: Building on their success with verifiable computation on Bitcoin, nChain has explored its application in machine learning. “Training is computation. Inference is computation. If you can do verifiable computation, then you can do verifiable training or verifiable inference,” says Dr. Hamid Attar, Lead AI Researcher at nChain.

• MNIST Dataset Example: The team trained a simple neural network on the MNIST dataset of handwritten digits. A cryptographic proof verified the model's output without disclosing the model’s information, enabling users to claim a small amount of Bitcoin from the blockchain.

• Proof of AI Model Integrity: nChain is exploring the possibility to cryptographically prove that an AI model is trained on a specific dataset. This approach allows AI developers to prove that they did not tamper with the training dataset to train an AI model for malicious intentions. A piece of artwork can have a proof showing that it is generated by an AI model on a given prompt, or as a paid user you can be sure that you are getting answers from a paid version not the free versions. 

KEEP YOUR EYE ON IT

Optimus Steals the Spotlight at Tesla’s Robotaxi Unveiling Event

Tesla's highly anticipated Robotaxi made its debut in a star-studded Hollywood event, but it was Optimus—the humanoid robot bartending in a quirky cowboy hat—that stole the show. While the futuristic autonomous vehicle impressed, it was the robot’s entertaining antics behind the bar that had attendees talking.

• Optimus, a six-foot humanoid robot, greeted guests in style, pouring drinks and charming the crowd while sporting a cowboy hat, bowtie, and suspenders. Despite needing assistance from a human operator, the spectacle wowed onlookers.

• Investor Chris Bakke humorously pointed out Optimus' lack of a tip request, a comment that went viral. However, not everyone was convinced, with social media users criticizing the robot for being teleoperated, calling it a “well-designed puppet.”

• Tesla’s new Robotaxi—an autonomous, two-passenger vehicle without steering wheels or pedals—was also introduced, with Musk announcing plans for the fleet to be operational by 2027. This driverless car is set to revolutionize ride-sharing with its sleek, futuristic design.

• Optimus also showed off its conversational skills, responding to guests with friendly banter and even suggesting it might one day learn to play basketball, showcasing Tesla’s broader vision for robotics beyond just industrial applications.

While the Robotaxi promises to change the transportation landscape, it was the playful Optimus bartender that captured the imagination of attendees. Whether serving drinks or engaging in conversation, the event showed how Tesla’s robots are moving closer to becoming part of everyday life, offering a glimpse of a more interactive, robot-assisted future.

TSMC's Third-Quarter Profits Soar 40% Amid Rising AI Chip Demand

Taiwan Semiconductor Manufacturing Co. (TSMC) is expected to report an impressive 40% rise in third-quarter profits, driven by skyrocketing demand for AI chips. As the world’s largest contract chipmaker, TSMC has seen its earnings surge thanks to key customers like Apple, NVIDIA, and AMD, who rely heavily on TSMC’s advanced chip technologies.

Key Takeaways:

• Projected Profit: TSMC is set to report a net profit of T$298.2 billion ($9.27 billion) for Q3, a significant jump from T$211 billion in the same quarter of 2023.

• AI-Driven Revenue Boost: Strong demand for AI applications and new product launches by major clients have driven TSMC’s revenue to surpass market expectations.

• Expanding Production: TSMC is investing billions in new overseas factories, including $65 billion on plants in Arizona, while maintaining most of its production in Taiwan.

• Stock Surge: TSMC's stock has soared by 77% this year, greatly outpacing Taiwan's broader market gain of 28%.

With the continued growth of AI applications, TSMC is solidifying its leadership in the semiconductor industry. As it prepares to release its official earnings and future outlook on Thursday, all eyes are on how the company will manage the demand surge and expand its global footprint.

AI-Generated Content is Piling on the Workload for Wikipedia Editors

As AI-generated content proliferates across the web, driven by models like OpenAI’s GPT, Wikipedia editors are continue to face severe challenges. While they have always battled poorly sourced or biased human contributions, they now find themselves tasked with identifying and removing AI-generated text, often filled with inaccuracies or outright misinformation.

A growing group of editors, led by Ilyas Lebleu, has launched the "WikiProject AI Cleanup" to tackle this surge in machine-produced content. The group’s mission? To create reliable methods to detect and weed out AI-generated filler that masquerades as legitimate information. One of the biggest challenges is that LLM-generated text often lacks proper sourcing, with some entries even being fully fabricated, making the work of maintaining Wikipedia’s integrity harder than ever.

🎤 VOICE YOUR OPINION

ICYMI

• AMD sees the next AI chip in mass production later this year.

• Meta’s Yann LeCun says worries about A.I.’s existential threat are ‘complete B.S.’

• Elon Musk and Tesla unveil Robotaxi.

• Amazon’s new warehouses will employ 10x as many robot.

• OpenAI to open offices in Singapore, Paris, Brussels to facilitate global expansion.

MONEY MATTERS

• RAG platform Voyage announced a $28 million fundraising.

• Numeric raises $28M to build the next-gen financial data platform

• Series secures $28M to revolutionize game development with Generative AI. 

• Submer raised $55 million for building more environmentally friendly AI data centers.

• Avarra raises $8M for AI-based avatar sales training. 

LINKS WE’RE LOVIN’

✅ Podcast: Podcast: Talk AI, Tech & the Future. 

✅Cheat sheet: Computer Vision Cheat Sheet. 

✅Course: Introduction to Computer Vision. 

✅Webinar: Leading AI Initiatives: The Strategic Role of the CAIO.

✅Watch: 16-Inch Laptop Beast! | Samsung Galaxy Book 5 Pro 360 Review.

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