Ouenathe company behind chatgpt, shot back last week with one counter against ELON MUSIC– Marking another chapter in what has become a very public legal struggle between Elon Musk, Sam Altman, Openai and a few others.
Musk has been at war with Openai and CEO Sam Altman For almost a year now, the company is accusing to abandon its original assignment. Musk’s original trial is about claims that Openai violated its basic agreement and broke away from its original non-profit roots in the pursuit of commercial profit-specifically through the creation of Openai Global LLC, its profit-making arm, as well as in its endeavor to convert its non-profit unit into a future profit.
But this week, Openai counted. The company submitted a legal response that accused Musk of conducting “illegal and unfair business methods” that are designed to disturb OuenaBusiness and smear its reputation. Openai also claims that Musk mainly does all this to benefit his AI company, Xai.
If you just capture this feud, we are still in its early rounds, and now it’s time to come up. Our Previous coverage Break down the legal applications, the story between Musk and Openai and what is at stake for both companies.
Claude’s $ 200 subscription
Last week, anthropical rolled out A new “Max Plan” for its AI chatbot Claude, a subscription level of $ 100 and $ 200 per month that offers what the company calls “expanded use”, which is just another way to say you can do more (you will have fewer limits) on Claude than before. The level $ 100/month offers 5X more use than the default project and $ 200/monthly plan as to 20x use.
A feature like this will probably be celebrated by developers and start -ups that have Claude integrated somewhere in its technical stack. But under the hood, this move is about more than performance for its users; It’s all about profitability for anthropicalThe parent company for Claude.
Anthropic probably hopes that this new Max plan will open a new income channel. After all, Openai’s own $ 200/month is Pro -Plan Rumored To have taken in another $ 300 million after it was launched.
This pricing shift also highlights a larger trend that is played out behind the scenes at You have boom. Despite billions in expenditure, none of these leading AI companies have made a profit yet, and investors are starting to worry, which is why they are starting to ask when and were a return on their investment comes from.
Offering a more expensive product is a way to get closer to the profitability that investors begin to push these AI companies to produce, but rely on one income stream from subscription models alone is probably not to get any of the companies there – especially when you start analyzing one current from subscription models In fact, the consumers require AI products and services.
The IEA report examines AI -Energy consumption
International Energy Agency (IEA) released a report last week with the title Energy and AIThe which examined the growing relationship between artificial intelligence and global energy consumption.
At 301 pages it is a tight report, but here are some Takeaways It stood out:
1. AI nails electricity needs
According to the report, electricity consumption is projected from data centers to more than twice in 2030, and AI is the main driving force for that growth. The United States is expected to be responsible for more than half of the global increase. At the end of the decade, the US data center electricity use may exceed the total effect used to produce steel, aluminum, cement, chemicals and all other energy -intensive goods together.
2. Where does the power come from?
It’s not just about building more data centers; The IEA notes that several energy networks all over the world are already under heavy loads. Without significant infrastructure upgrade – especially new transmission lines, which can take 4 to 8 years to build – many of the expansion plans that we continue to hear about can be delayed or canceled.
3. AI’s energy power plants are not treated as cryptos.
As I went through the report I realized that the tone around AI energy consumption is very different from the attitude that the same agencies had to block reward break. Although Data Center could use more power than all of Japan in 2030, IEA did not claim that the industry consumes too much electricity. Instead it claims that AI’s contribution to innovation– Especially in energy efficiency and network optimization – can ultimately motivate consumption.
All in all, the report gives some of the less -made intelligence industry’s less explored yet crucial components to the surface. While AI companies have said for a while now that the United States needs more data centers to remain competitive, the IEA report emphasizes part of the argument that we usually do not hear from AI companies: that it is not just about the data centers, it is also about the power sources. If power production and delivery solutions are not explored and implemented quickly, they have the potential to significantly slow down the plans that some of the technical giants have for the AI industry.
In order for artificial intelligence (AI) to work properly within the law and thrive on growing challenges, it must integrate a corporate blockchain system that ensures data input quality and ownership – which makes it possible to keep data secure and at the same time guarantee data impossible. Check out COINGEEK’s coverage on this new technology to learn more Why Enterprise Blockchain will be the spine in AI.
See: micropayments are what will let people trust ai
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