Tesla Launches $300M AI Supercomputer
Plus: OpenAI launches ChatGPT Enterprise, Survey: ChatGPT usage in USA rises.
Hello, Engineering Leaders and AI Enthusiasts!
Welcome to the 95th edition of The AI Edge newsletter. This edition brings you Tesla’s $3000M supercomputer for AI that is launching today.
And a huge shoutout to our amazing readers. We appreciate you! 😊
In today’s edition:
⚡ Tesla's $300M AI cluster is going live today
🚀 OpenAI launches ChatGPT Enterprise, the most powerful ChatGPT version yet
🇺🇸 Usage of ChatGPT among Americans rises, but only slightly
📚 Knowledge Nugget: Early days of AI (and AI Hype Cycle) by
Let’s go!
Tesla's $300M AI cluster is going live today
Tesla is launching its highly-anticipated supercomputer today. The machine, employing 10,000 Nvidia H100 compute GPUs, will be used for various AI applications. It is said to be one of the most powerful machines in the world.
But NVIDIA is struggling to keep up with the GPU demand. Thus, Tesla is investing over $1B to develop its own supercomputer, Dojo, built on the company's hyper-optimized custom-designed chip. Tesla is also activating Dojo simultaneously. Take a look at Tesla's internal forecast for the compute power of Dojo.
Why does it matter?
Elon Musk recently revealed that Tesla plans to spend over $2B on AI training in 2023 and is hiring reputed AI engineers. But this move gives Tesla unparalleled compute power. It also underscores Tesla's commitment to overcoming computational bottlenecks in AI and should provide substantial advantages over its rivals. Elon might be the next big thing in AI. What do you think?
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OpenAI launches ChatGPT Enterprise, the most powerful ChatGPT version yet
Open has launched ChatGPT Enterprise, the most powerful version of ChatGPT yet. It offers enterprise-grade security and privacy, features for large-scale deployments, unlimited higher-speed GPT-4 access, 32K context for faster processing of longer inputs, advanced data analysis capabilities, customization options, and much more. OpenAI is also working on more features and will launch them soon.
Why does it matter?
This is a simple and safe way of deploying ChatGPT into core operations at organizations. It could be a solution for big companies that have banned ChatGPT at work over privacy concerns, like Apple, Amazon, Citigroup, and more. Maybe, this can pave the way for truly widespread adoption of AI in the business world.
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Usage of ChatGPT among Americans rises, but only slightly
A recent survey conducted in July by Pew Research Center reveals 18% of U.S. adults have ever used ChatGPT. While 16% of those who have heard of the tool and are employed say they have used it for tasks at work.
The statistic is consistent with a similar survey conducted in March by the Pew Research Center that showed 14% of U.S. adults had tried ChatGPT. And about one in ten working adults who had heard of ChatGPT used it at work.
While this shows increased adoption of ChatGPT among Americans, it is not a significant one in the grand scheme of AI adoption today. In fact, only a few think it will have a major impact on their job.
Why does this matter?
These findings suggest AI’s penetration remains gradual. It is also clear that there is still work to be done in educating and acclimating the workforce to the benefits and implications of generative AI. Plus, given the lingering concerns and uncertainties about ChatGPT’s prowess, maybe it is too early to start worrying about AI replacing jobs.
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Knowledge Nugget: Early days of AI (and AI Hype Cycle)
suggests that rather than viewing LLMs, Transformers, and diffusion models as part of a continuum with past "AI", it is worth thinking of this as an entirely new era and discontinuity from the past. Why?This answer is in this article by
. It highlights how the current wave of AI represents a significant departure from previous AI technologies. The article also discusses the evolving landscape of AI and its different waves of adoption.
The article suggests that we're still in the early days of AI. Both the peak hype and the peak impact are yet to come, promising exciting times ahead in the world of technology and innovation.
Why does this matter?
Amidst the massive AI hype today, the article highlights that large enterprise planning cycles often take 3-6 months, and prototyping and building take a year. So, we are still far away from peak AI usage. Most large enterprises are still trying to analytically sort what “AI” means for them and are still many quarters away from embracing it.
What Else Is Happening❗
🧠Microsoft infuses AI with human-like reasoning via an “Algorithm of Thoughts” (Link)
🚀DoorDash launches AI-powered voice ordering to answer calls and curate recommendations (Link)
🍔Uber is working on an AI chatbot for its food delivery app (Link)
🆕Yahoo Mail introduces new AI-powered capabilities, including a ‘Shopping Saver’ tool (Link)
💬Poe by Quora lets you use all the AI chatbots in one place (Link)
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