Sam Altman asks for $7 trillion - Weekly News Roundup - Issue #454
Sam Altman asks for $7 trillion - Weekly News Roundup - Issue #454Plus: OpenAI Sora and AI agents; ChatGPT gets memory; Gemini 1.5; "meaty" rice; more humanoid robots; glowing plants go on pre-order; and more!Welcome to Weekly News Roundup Issue #454. In this issue, we will take a closer look at Sam Altman’s idea to boost global semiconductor capacity, for which he is seeking a $7 trillion investment. In other news, OpenAI has teased Sora, a text-to-video generator capable of producing high-quality video clips from a prompt, and has added memory to ChatGPT. Google has released Gemini 1.5 Pro, an update to their Gemini family of AI models. Additionally, more humanoid robots have showcased their capabilities. And over in biotech, researchers have created a hybrid food by combining rice with beef, and a glowing petunia is now available for pre-order in the US. On February 8th, the Wall Street Journal reported that Sam Altman, the CEO of OpenAI, is in talks with various investors to raise $7 trillion (yes, trillion) for a new venture to reshape the world of chip-making and AI by opening a network of new semiconductor foundries to address the chip shortages. That number, $7 trillion, is larger than Microsoft’s market valuation (about $3 trillion). It is also larger than Japan’s or Germany’s GDP, the fourth and third economies by GDP in the world, respectively. If Altman is successful in this massive fundraising campaign, it would be the largest fundraising in history. Let’s try to understand Altman’s plan by first understanding what the semiconductor industry looks like, what the implications can be and what criticism it attracted. Today’s tech industry and its most advanced devices are built on the shoulders of just one company - TSMC. Every iPhone, iPad and Mac with Apple Silicon as well as Nvidia’s top GPUs running machine learning algorithms, AMD’s powerful and efficient CPUs and every Playstation 5, Xbox Series X and Series S is powered by chips made by TSMC. TSMC rose to become a chip-manufacturing giant worth $575 billion, making it the 13th company in the world by market cap. However, the situation TSMC has found itself in causes problems for the tech industry. The company is a critical linchpin in the entire tech industry. They offer the most advanced chip manufacturing techniques and that makes the company the default option for those who seek top-class performance from their chips. The massive demand this generated means TSMC can't offer enough capacity to support customers, which will continue to next year, according to TSMC CEO C.C. Wei. Depending on only one foundry providing the most advanced chips for the most in-demand and powerful products creates a fragile ecosystem with one massive bottleneck and weak point. If there is a production issue, the impact would cascade and would be felt by the entire tech industry. Another problem with TSMC is that the company is located in Taiwan (the letter T in TSMC stands for Taiwan). If something were to happen in Taiwan, either a natural disaster or a military conflict, it would take even years for the tech industry to recover. TSMC is not the only chip foundry in the world. Other players include Samsung, Intel, Micron and Global Foundries, but these companies cannot compete with TSMC in terms of the quality and performance of the chips they produce. The global semiconductor industry would benefit from decentralising and not having TSMC as the weakest link at the foundation of the entire tech industry. What Sam Altman proposes to do is address the supply side of chip manufacturing by significantly expanding global semiconductor capabilities. The required investment is high because spinning up a new semiconductor factory is not cheap. TSMC is investing $12-40 billion to build a semiconductor plant in Arizona. In 2021, Intel announced a $20 billion investment into two new fabs in Arizona. Altman’s plan is ambitious. At the time of writing this article, 73 new semiconductor fabs are being built worldwide, 16 of which will be capable of producing chips with 10nm or smaller process technology. Assuming Altman’s plan would focus on the most advanced nodes and one such factory would require an investment of $50 billion (which is more than the new TSMC factory in Arizona) then with $7 trillion, we could build about 140 such factories if all that investment would go into building new semiconductor fabs. In reality, I think that number would be smaller but it would still be a big expansion in manufacturing capacity. To secure funding for this massive project, Altman has been in conversations with a range of potential investors worldwide, including SoftBank CEO Masayoshi Son and the United Arab Emirates. The inclusion of the UAE may have an impact on geopolitics. The UAE had joint AI research projects with China. However, G42, a UAE-founded AI company, has recently sold all its China stakes to appease the US. The US government might be concerned with another player entering the semiconductor scene. The US sees semiconductors and AI as important technologies assuring its global dominance and wants to keep those technologies as close to the chest as possible, as we have seen with the bans on sales of GPUs to China. OpenAI, the darling of the current AI boom, promised to be a customer of these new foundries, which could raise some questions about US national security being tied to a foreign entity. Interestingly, part of the $7 trillion plan involves funding power providers, too. Those massive GPU farms powering ChatGPT and other AI services require enormous amounts of power. Generating one image with an AI text-to-image generator can use as much power as charging a phone. Addressing the power consumption or the amount of power available could positively impact the AI industry. I’d like to point out that Sam Altman has also invested in Helion, a fusion power startup, which recently signed a deal with Microsoft for the tech giant to purchase electricity from Helion’s first fusion power plant, scheduled for deployment in 2028. Some of that $7 trillion might go to companies like Helion and other energy startups and companies. Altman’s ambitious fundraising goal to expand AI capabilities by orders of magnitude has brought attention and criticism. As Gary Marcus points out in his Seven reasons why the world should say No to Sam Altman and What Could Possibly Go Wrong with Sam Altman’s New Ambitions? posts, there are serious questions about the impact of Altman’s plan on energy and climate as well as the sheer amount of resources we are talking about, including mining rare earth minerals needed to make all those chips. Critics argue that such a move could prematurely lock us into a specific type of AI technology. Instead, they suggest focusing on safety and exploring innovative new approaches rather than hastily scaling up current architectures that still have unresolved issues. In any case, Altman's $7 trillion fund shows how big AI has become. The question is whether that price tag represents the value of the potential impact AI can have on our lives, or if it reflects the hubris and the magnitude of the AI bubble we are currently experiencing. If you enjoy this post, please click the ❤️ button or share it. Do you like my work? Consider becoming a paying subscriber to support it For those who prefer to make a one-off donation, you can 'buy me a coffee' via Ko-fi. Every coffee bought is a generous support towards the work put into this newsletter. Your support, in any form, is deeply appreciated and goes a long way in keeping this newsletter alive and thriving. 🦾 More than a humanA new device let a man sense temperature with his prosthetic hand 🧠 Artificial IntelligenceOpenAI is developing “AI agents.” Here’s what that means. OpenAI Sora: Creating video from text OpenAI: Memory and new controls for ChatGPT Google introduces Gemini 1.5 Judge rejects most ChatGPT copyright claims from book authors Nvidia replaces Alphabet as Wall St's third most valuable company OpenAI researcher Andrej Karpathy departs firm GOODY-2 - The world's most responsible AI model If you're enjoying the insights and perspectives shared in the Humanity Redefined newsletter, why not spread the word? 🤖 RoboticsEverything You Wanted to Know About 1X’s Latest Video 1X, a Norwegian company developing humanoid robots, posted a video showing their wheeled humanoid robots doing a bunch of random stuff. IEEE Spectrum sat down with Eric Jang, Vice President of Artificial Intelligence at 1X, to discuss these robots and to ensure everyone those are real robots, not humans dressed like robots. 2023 robot orders down 30% from 2022 in North America, according to A3 New robot guide dog shows not only human jobs are threatened by AI MagicLab's humanoid can toast marshmallows, fold clothes and dance Another humanoid robot enters the scene. In this video, MagicBot from MagicLab shows what it is capable of by roasting a marshmallow, folding baby clothes, watering a plant, dancing (every humanoid robot these days needs to show off their dancing skills) and doing magic tricks. 🧬 BiotechnologyScientists grow 'meaty' rice hybrid food for protein kick Bioluminescent houseplant hits US market for first time Thanks for reading. If you enjoyed this post, please click the ❤️ button or share it. Humanity Redefined sheds light on the bleeding edge of technology and how advancements in AI, robotics, and biotech can usher in abundance, expand humanity's horizons, and redefine what it means to be human. A big thank you to my paid subscribers, to my Patrons: whmr, Florian, dux, Eric, Preppikoma and Andrew, and to everyone who supports my work on Ko-Fi. Thank you for the support! |
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