Joe Biden signs an executive order for the development of US AI infrastructure
This week, US President Joe Biden signed an executive order to expand and support the development of artificial intelligence (AI) infrastructure in the US. The order focuses on building and scaling AI on American soil to reduce America’s reliance on foreign infrastructure and to strengthen national security, innovation and the clean energy transition.
“Advances at the frontier of AI will also have significant implications for U.S. economic competitiveness. These imperatives require building AI infrastructure in the U.S. within the time frame necessary to ensure U.S. leadership over competitors,” said executive order.
The order’s key actions include requiring the Departments of Defense and Energy to identify and lease federal land for AI data center and clean energy facilities by 2027, align AI infrastructure with clean energy generation capabilities, and increase domestic production of semiconductors and other components critical to the power grid.
This executive order appears to be one of the last few attempts by the Biden administration to make a dent in the AI space before Trump’s administration takes office. A few days before the signing of this executive order took effect, the Biden administration did as well implemented regulations which restricts the export of US-made computer chips to foreign countries.
The US is currently the world leader in artificial intelligence, but China is a close second. This is why the US implements policies like the two discussed above to give the US the upper hand when it comes to AI innovation while stifling competition and preventing them from obtaining the critical resources and software they need to overtake the United States as the leader in artificial intelligence.
OpenAI unveils “Tasks” on ChatGPT
OpenAI recently launched “Tasks”, a new feature within ChatGPT designed to handle asynchronous tasks. In a demo shared by the company, Tasks was shown sending daily stock updates, exercise reminders and news summaries based on editable instructions from users.
Tasks is currently in beta for ChatGPT Plus, Pro, and Teams subscribers and will eventually be available to anyone with a ChatGPT account.
But after testing the feature, I find it underwhelming. When I tried using Tasks, it fell short in execution on top of the significant limitations the feature already has. Although many people call this an AI agent, I don’t think it’s an AI agentand I don’t think OpenAI wants us to think it’s an AI agent, so they deliberately avoided using that language when they released the product.
When I tried to set up a daily inventory update via Tasks, it failed to deliver the updates automatically on the first day. When it finally worked, it sent messages to my email without accompanying output in the chat interface. To be fair, the product has been out for less than 72 hours, but I was still surprised to see that the system initially couldn’t handle the relatively simple task they demoed the product with. However, since my first test is run with Tasks, the problem seems to have been fixed.
While Tasks is definitely a signal that OpenAI is taking steps towards offering AI agentsTasks feels more like a scheduling or messaging tool at the moment. It lacks a degree of complexity that most end users want before calling the tool essential. While Tasks clearly lays the groundwork for future innovation, the feature will need to become significantly more capable to truly impact the majority of users.
Microsoft’s 365 Copilot AI Monetization Strategy
This week Microsoft (NASDAQ: MSFT) was introduced Essentially a chatbot running on GPT-4.0, Microsoft 365 Copilot Chat accesses data stored in SharePoint to create more business-specific output, and includes a recently added pay-as-you-go option for its AI -agent. I see this as Microsoft trying to open up a revenue stream on a product that is not currently profitable.
Microsoft’s strategy appears to be focused on getting companies to adopt AI across their business, getting the feature for free to use but becoming a customer via pay-as-you-go or by liking the free offering enough to buy a monthly subscription for Microsoft’s AI offerings. I think they are trying to go this route because there is still a fundamental disconnect between how end users use AI products when left to their own devices and how the tech companies that have created these AI tools want their end users to use the AI offerings.
As Microsoft puts it in their official announcement“Copilot Chat is a powerful new effort for everyone in your organization to build the AI habit,” emphasizing that for many people, using AI in the workplace is not yet a habit.
Most end users still interact with AI in a very primitive way, using it like a search engine. This limited capability—usually presented as a free-to-use chatbot—does the job for many people, meaning many people don’t have an incentive to upgrade to a premium model. As a result, AI companies struggle to make money from services they have heavily invested in because they pay out billions of dollars a year to train and run their AI models while lacking the number of paying customers needed to cover those costs.
Microsoft’s strategy seems to be in line with one previous prediction I made when Microsoft first announced its AI agents: that there needs to be a re-education campaign to help users understand how these tools can be used in more sophisticated ways – which could eventually lead to tech giants like Microsoft creating revenue streams for more of their AI offerings.
For artificial intelligence (AI) to operate within the law and thrive in the face of growing challenges, it must integrate an enterprise blockchain system that ensures data input quality and ownership – enabling it to keep data secure while guaranteeing data immutability. Check out CoinGeek’s coverage on this emerging technology to learn more why Enterprise blockchain will be the backbone of AI.
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