Latest news with #Metaverse
Khaleej Times
4 days ago
- Entertainment
- Khaleej Times
Where AI and top professionals help you learn and earn
CEEK is running full steam with brand new features geared at empowering everyone who wants to turn their unique perspective into content. Known for unforgettable experiences with Bon Jovi, Lady Gaga, Universal Music and Magic Gaming, the platform enables users (ceekers) to engage deeper on any and every screen. CEEK's mission is turning content into currency by enabling creators to sell, stream or license their creations on any device: mobile, TV, VR/AR, web, wearables, and protecting it from AI companies training on it for free. 'Today, most creators don't make enough to even pay for the content they create. We saw this need years ago and successfully created a platform that them earn with AI, virtual commerce, in the Metaverse, live coaching and many other ways that weren't available twenty years ago when most social media platforms were built,' says CEEK Founder Mary Spio. CEEK has incorporated AI tools that help you create and even interact with fans in your own authentic voice, so you can amplify who you are 24/7. No experience or coding needed to get started. Mary Spio is seeking to redefine the creator economy, turning anyone into bonafide professionals with polished work worthy of worldwide recognition. On CEEK, fans, labels, collectors and studios can directly buy ownership rights in content they love and benefit from its potential value—turning fans into owners and creating a powerful viral loop where ownership drives promotion and attracts more fans. No more chasing algorithms or dealing with trolls. It comes as no surprise that top professionals, sports teams, educators, life coaches and practically anyone looking to inspire, educate, and share what they love, know or do, are choosing to call CEEK home for their content.
New Indian Express
11-06-2025
- Business
- New Indian Express
Meta to invest $15 billion in Scale AI in a bid to achieve computerised ‘superintelligence'
Meta is preparing to unveil a $15 billion investment to pursue computerised 'superintelligence', an AI capable of outperforming humans across all tasks, by securing a 49 percent stake in Scale AI, according to The Gaurdian. This move marks one of Meta's largest external investments to date, as CEO Mark Zuckerberg assembles a 50‑member team to pioneer an advanced AI initiative dubbed 'superintelligence,' alongside Scale's founder and CEO, Alexandr Wang. Scale AI, founded in 2016 by Alexandr Wang and Lucy Guo, is a San Francisco‑based leader in AI data labelling. In 2025, the company is projected to double its revenues, rising from roughly $870 million in 2024 to about $2 billion this year, with an anticipated valuation nearing $25 billion, Reuters reported. Superintelligence is described as a type of AI that can perform better than humans at all tasks. Currently AI cannot reach the same level as humans in all tasks, a state known as artificial general intelligence (AGI). Recent studies have shown that many mainstream systems collapse when presented with highly complex puzzles. This initiative comes as Meta looks to rebound from recent setbacks, such as the underperformance of its LLaMA 4 models, delays in its flagship 'Behemoth' AI, and the fading momentum of the Metaverse, amid escalating competition from OpenAI, Google, Anthropic, and Microsoft Meta's bold strategy has sparked renewed calls in Europe for transparent, publicly‑funded AI research programs, mirroring institutions like CERN to ensure accountability, fairness, and public trust in this rapidly accelerating technological race .
Yahoo
09-06-2025
- Business
- Yahoo
Was Jim Cramer Right About Meta Platforms, Inc. (META)?
We recently published a list of . In this article, we are going to take a look at where Meta Platforms, Inc. (NASDAQ:META) stands against other stocks that Jim Cramer discusses. A viewer asked if Meta Platforms, Inc. (NASDAQ:META) still had technological upside, particularly under CEO Mark Zuckerberg's leadership. In that older segment, Cramer expressed strong long-term optimism, suggesting Meta was investing in something bigger than the public could yet see. He responded with: 'I think there is. I mean, I think that they're going to be in competition in something we don't know yet. They're buying too many of the Nvidia cards for me to think they're just going to continue to be just Instagram and Facebook and WhatsApp. I think there's much more in store for us and I think you got to stay long that stock. It is not an expensive stock.' Cramer was right to call it an inexpensive stock. It's now up +39.66% since those comments. Meta Platforms, Inc. (NASDAQ:META) is a technology company that owns Facebook, Instagram, and WhatsApp, and is investing heavily in AI and virtual reality platforms like the Metaverse. When asked about the stock again recently, Cramer gave his blessing to buy it, saying: 'I like your thinking very much. I think Meta's having a great quarter. I also think that they are without a doubt the best advertising bet. What happens if he actually starts, Mark Zuckerberg starts to want to, let's say, monetize WhatsApp? Do you know how much that darn thing's worth? I think you got horse sense. Good level to buy.' A team of developers working in unison to create the company's messaging application. Overall, META ranks 6th on our list of stocks that Jim Cramer discusses. While we acknowledge the potential of META as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.
CNBC
05-06-2025
- Business
- CNBC
This metaverse leader is primed for even more gains going forward, Bank of America says
Roblox has "structural advantages" that can drive the stock higher, according to Bank of America. The bank upped its price target on the online game platform to $103 per share from $86 and reiterated its buy rating. BofA's forecast calls for roughly 13% upside from Wednesday's close. "We expect to see talent and capital flow into the RBLX ecosystem faster than mobile app & console games for the foreseeable future," analyst Omar Dessouky wrote in a Wednesday note. "The string of strong results and share price rally appears to have catalyzed interest among new long-term oriented growth investors." RBLX YTD mountain Roblox stock in 2025. Dessouky highlighted the company's efforts within the metaverse, which he said could be a significant growth driver as adoption of the company's platform expands. "RBLX is the 'Metaverse' category leader," Dessouky said. "We see an extended runway for mid-20% growth as users worldwide adopt Roblox's Metaverse, in a virtuous cycle that will draw developers, brands, and merchants to the platform." "Roblox is not saddled with legacy media businesses that require transition to a Metaverse, and can thus allocate 100% of its resources toward maintaining Metaverse product leadership," the analyst added. "Rapid productization of innovations could result in consistent upside to growth estimates." Shares have surged more than 57% in 2025. Most analysts covering Roblox have a buy or strong buy rating, according to LSEG. However, the average price target implies downside of more than 18%.
Forbes
03-06-2025
- Business
- Forbes
The AI Agent Tsunami Is Here: Hype Versus Transformation
Architecture in Copenhagen getty Few technologies have been subject to as much hype, misrepresentation, and speculation as AI. Some people say it's bigger than electricity, others say it's massively overhyped. One simple metaphor I use to help recognize when to pay attention to a technology is to look for the 'Trojan Horse,' or when, where and how a technology creates value for an internal user or an external customer. When a technology creates real value, even if in just a niche application, it kickstarts the cycle of learning by doing which in turn dramatically accelerates development. For example, when Facebook renamed itself Meta and promoted the Metaverse, it was hard to see the Trojan Horse. By contrast, when Tesla launched the Model S, the thrill and excitement of a comfortable, fast, and software-driven car that could be updated remotely created real value. We are in the middle of a tectonic shift in AI from asking AI questions to Gen AI to AI agents taking action. This could be a transformative moment in technology history and the field is moving fast. But it can be hard to tell if there is a real Trojan Horse, or if it is mostly hype. Plenty of fluffy articles suggest one can use AI Agents to make zillion dollars but in reality, AI agents, particularly multi-agent systems composed of many agents working together have been unstable and hard to implement. But recently a friend shared the work they are doing with AI agents and the results are both fascinating and terrifying. The challenge of Gen AI is hallucinations, or false responses, which by some accounts are getting worse or even lying. Prompt engineering is one approach to improve results, for example, by introducing multi-step reasoning. RAG, or retrieval augmented generation, connecting an LLM to external search or knowledge databases also helps. But at best the accuracy of these approaches reaches 70% or 80%. In multi-agent systems, we can split tasks into separate activities, each performed by a specialized agents doing a single task very well, which tasks are synthesized, validated, and checked by other agents, a bit akin to earlier adversarial networks that tested and improved each other. Behind closed doors this approach appears to be driving up accuracy to remarkably high levels and threatening to replace large scale activities that are repetitive in nature. For example, one large company the team works with has a group of 70 employees just processing contracts once someone inside the company decides they want to purchase a product or service. Contracts can come through as an Excel file, PDF, or email. Instead of one LLM agent poorly interpreted the three types, they have constructed a multi-agent system that routes each file type to separate, specialized LLM-based agents trained to process only that file type. This first LLM agent parses all the information from the contract but does nothing more. Then a second LLM-based agent checks if the information is correct, and if not cycles it back. If correct, a third LLM-based agent enters the contract into the system. Yet another agent generates a response to the humans involved. Yet another agent monitors the process, performing accuracy and security checks, and so on. They are finding that by giving very concrete, simple tasks to separate, specialized agents in a multi-agent system, backed by a RAG system, accuracy rates are reaching 95% and higher. This means that for 10,000 contracts, 9,500 are performed correctly. For the 500 that don't process correctly, 100 of those are because there is one step in the decision tree that is missing, for which, a new agent can be introduced, pushing accuracy up even higher. The results are profound in terms of the development of AI but also the eventual impact on people. There is no doubt that the contracting group will shrink from 70 to less than 7 people. In the past, I have typically believed AI will be a complement to how we work, for example, how many thought AI would replace radiologists, but it has evolved to become a tool to help radiologists improve their work. However, the rapid progress of AI agents suggests that this may only be the case for people who are curious and proactively engaged with using these tools to improve. For those people doing repetitive, low-thinking, low dexterity tasks the rapid progress of multi-agent systems could be immensely disruptive. How do we encourage people to experiment with AI to learn and improve? How do we help people who are afraid to even try for fear of their digital abilities? How will we make ethical pathways for the people displaced by these tools? What will it mean for the future and in what ways we may not imagine will the world evolve? I'm curious about asking, what would it look like if we got this right? For example, could it lead to the rebirth of people following their true passions, such as skillful artisanship or more ecologically healthy farming ? These are as important questions to consider as being curious and riding the wave of discovery ourselves, so as to become the shepherds of AI, rather than the substituted by it. Whatever the case may be, it looks like a Trojan Horse and we can expect that the cycle of learning by doing will accelerate development even faster as we move into the future.
