HP acquires Human; Marks End of Humane Ai Pin
This week, humane announced its acquisition of HP (Nanda: HPQ) for $ 116 million, which effectively marks the end of its humane AI pin. As part of this agreement, all sales and functionality for the unit will stop, with the last service day set until February 28. Then the unit will no longer connect to Humane’s servers, and all consumer data will be permanently deleted.
HP made it clear that its focus was not on the hardware but on Humanes AI-driven platform, Cosmo and the engineering team behind it. The acquisition will bring Human’s talent to HP IQ, a newly formed AI -Innovation Lab aims to develop AI-powered solutions for the company, including “(create) an intelligent ecosystem of all HP units from AI PC to smart printers and affiliated conference rooms.”
This acquisition is probably a bitter sweet that ends for Humanes co -founder. Although the acquisition marks a new start, it is clear that the humane team hoped it would not end like this, especially since they were rumored to look for an exit in the range of $ 750 million to $ 1 billion from May 2024. It quickly became clear that the liquidation event They did not want to be likely. From the launch, Human you have a pine Fighted to get traction, get negative reviews, poor sales and a $ 200 price fall in an attempt to stimulate interest rates. Reports even emerged that more units were returned than purchased.
But Humane is not alone in the bad performance for its AI unit. The You have sector hardware Fighting repeatedly to find a use case and showing unique value in a market where mainstream generative AI platforms, available through mobile devices, can quite much do all these AI units do and more.
Xai reveals Grok 3
This week, Xai Published Grok 3Its latest AI Chatbot -iteration. The company showed the model via a live -demo with CEO ELON MUSIC and xai -team members. The demonstration emphasized Grok 3’s ability to perform complex tasks, including generating 3D animations to visualize physics problems and developing a playable game in real time.
During the launch, the XAI team also announced XAI’s first AI agent, Deepsearch, which is designed to help users with complex research tasks.
At the launch, Xai claimed that Grok 3 exceeds other AI models over the different industry’s benchmarks, although these claims have not yet been verified independently. XAI emphasized the Grok 3’s training process and found that it used ten times the computing power for former modern models, where its differentiate was its new “think” models -designed to mimic human reasoning by taking extra time to process questions and pass users through the logical steps behind its response.
Most AI models from major technical giants start to blur at this stage in the AI race. While users have their preferences, I still believe that many people use AI in a very primitive way, usually as a glorious search engine. That said, it rarely plays which model you use because the outputs will be equal enough to achieve your goal, answer your question or help you through what task you are trying to solve.
For this reason, I believe that the price will continue to be a significant differentiate for what I will call the average user – an individual who uses AI but not in ways that are sufficiently advanced to make the model’s specific capacity mean a lot. With Grok 3 priced at $ 32 per month while other leading competitors only charge $ 20 per month, Xai may face an upward struggle to convince users to pay a premium for their model.
AI in Gaming: Microsoft’s Muse and Xai’s New Game Studio
This week two major announcements occurred about AI’s role in play. Microsoft (Nasdaq: MSFT) introduced Muse, an AI model developed in collaboration with Xbox Game Studios Developer Ninja Theory, and Xai revealed plans to launch its own gaming studio during his demonstration of how Grok 3 can generate playable games.
AI’s impact on play Has flew under the radar, but with two major AI game developments on the same week, it is clear that this space deserves more attention. The gaming industry has long been plagued by long development cycles, high development costs and revenue models that rely on purchases in the game to make much of the heavy lift because of what is mainly a price ceiling on what a game can sell for. Smaller Game Studios fights even more when players choose well -established franchises over less well -known titles.
However, AI can provide balance in the gaming industry’s business models. AI-driven development tools such as Muse or Grok 3 can be used to significantly reduce production time and costs, making it easier for all studios to bring their games to the market in a more cost-effective way.
In order for artificial intelligence (AI) to function directly within the law and thrives on growing challenges, it must integrate a corporate blockchain system that ensures data input quality and ownership – which means that it must keep data secure and at the same time guarantee the immutability of data. Check out COINGEEK’s coverage on this new technology to learn more Why Enterprise Blockchain will be the spine in AI.
See: The Future Internet: Uniting Blockchain, AI & IPV6
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