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Superintelligence

Meta’s superintelligence and Sam Altman’s AGI could boost these crypto AI tokens

by admin June 15, 2025

Artificial intelligence has taken centre stage with technology giants like Meta, Open AI and Alphabet Inc’s Google racing to develop AGI, Superintelligence and faster, more efficient models in 2025. The race involves multi-billion dollar acquisitions, investments and capital flows to sectors like Crypto AI tokens, offering traders an opportunity to profit from a slice of the Artificial Intelligence pie.

Multiple reports show that technology giant Meta has plans to spend up to $15 billion chasing superintelligence. Zuckerberg is building a tech team alongside Scale AI, a startup led by 28 year old Alexandr Wang.

The new team could help the Meta chief improve its Llama models and roll-out better tools for voice and personalisation. The AI race keeps getting intense with new entrants and billions of dollars spent on the tech, as companies race to be the market leader.

Sam Altman, OpenAI chief and co-founder of Worldcoin said in his recent blog post that the firm’s LLM ChatGPT is “already more powerful than any human who has ever lived.” Millions rely on the chatbot’s intelligence for everyday and routine tasks and any misalignment could have a ripple effect on hundreds of millions of people.

Altman recounts the arrival of AI agents for cognitive work, writing computer code and the arrival of bots that do real tasks in the world. Altman’s plans for the Worldcoin project have acted as a catalyst for WLD token price in the recent past.

Meta’s announcements, NVIDIA’s earnings report and statements and Altman’s blog posts have acted as drivers for the Crypto AI tokens and Crypto AI Agent token categories.

Crypto AI sector in 2025

Grayscale’s report on the Artificial Intelligence Crypto Sector summarizes the updates from 2025. While AI growth and updates have excited technology enthusiasts, the centralized control over AI development has raised concerns among traders.

Decentralized development of AI tools has been proposed as an alternative, however it has not been as well received as centralized development, at the time of writing.

The Artificial Intelligence Crypto Sector of tokens compiled by Grayscale includes 20 tokens with a combined market capitalization of $21 billion. The market cap climbed nearly five fold, up from $4.5 billion in Q1 2023.

Analysts at Grayscale identified Bittensor (TAO) as the largest AI token.

As of May 2025, the report claims AI tokens have 32% market share among traders.

Share of crypto narrative mindshare | Source: Grayscale Research

Market capitalization of top AI tokens shows considerable increase between March 2023 and March 2025. Top tokens TAO, Near Protocol (NEAR), Render (RNDR), Fetch.ai (FET), Worldcoin (WLD), Virtuals Protocol (VIRTUAL), among others.

AI crypto sector constituent market caps | Source: Grayscale Research

Top crypto AI and AI agent tokens to watch

Data from crypto tracker CoinGecko shows the top 10 tokens in the AI category and the top 5 AI agent tokens. Most of the tokens have added to their value in the past hour.

TAO, Internet Computer (ICP), Story (IP), The Graph (GRT), DeXe (DEXE) and Grass (GRASS) were hit by a correction in the past 24 hours.

Top 10 AI tokens | Source: CoinGecko

AI agent tokens have observed higher volatility in their price in the past few months. AI agent tokens were hit the worst during Bitcoin flashcrashes this cycle. The sector’s recovery is largely dependent on catalysts.

AI agent tokens | Source: CoinGecko

Bittensor price prediction

The AI token’s daily price chart shows further consolidation in TAO is likely. The token is less than 10% away from its support at $333, a key level that held steady for several months. TAO could slip 8.41% and test support at $333.

RSI is sloping downwards and reads 42, under the neutral level. MACD flashes red histogram bars under the neutral line, signaling an underlying negative momentum in TAO price.

Conversely, further catalysts in the AI sector could fuel a positive sentiment among traders and drive demand for top tokens like TAO. The token could gain 14% and test resistance at $415, a level identified as the upper boundary of the FVG on the daily timeframe.

The May 2025 peak of $500 remains a key resistance for the AI token.

TAO/USDT daily price chart | Source: Crypto.news

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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June 15, 2025 0 comments

GameFi Guides

Meta Invests $14 Billion in Scale AI to ‘Deepen’ its Work on Superintelligence

by admin June 13, 2025

In brief

Meta has acquired a 49% stake in Scale AI for $14.3B, its second-largest deal ever.
Scale CEO Alexandr Wang has joined Meta to lead a new superintelligence lab.
The investment illustrates Meta’s aggressive strategy to compete with the likes of OpenAI and Google.

American multinational tech company Meta has made a significant investment in Scale AI, the data-labeling startup essential for training artificial intelligence systems, recruiting its young founder Alexandr Wang to build out a “superintelligence” lab focused on achieving artificial general intelligence (AGI).

The $14.3 billion investment acquired a 49% stake in Scale AI, raising its valuation to over $29 billion. This is Meta’s second-largest investment, following its $19 billion WhatsApp acquisition in 2014.

Scale AI announced that Wang would continue to serve as a director on the company’s Board of Directors, with the firm’s Chief Strategy Officer, Jason Droege, stepping into his shoes as interim CEO.

In a tweet, Wang shared a note to employees, describing Meta’s investment as a “major milestone and a powerful validation of the hard work you’ve all put into Scale’s mission.”

For Meta, which has been working on its own AI strategies and recently released a new model and a standalone AI app in the past couple of months, the deal would “deepen the work” it has been engaged in for “producing data for A.I. models,” according to company statements shared with media.

Meta’s AI race

This speaks to the urgency of Meta’s move to catch up in the AI race, as it faces mounting pressure from other players working on “frontier models” which are advanced, large-scale systems pushing the boundaries of AI.

Yet the move also highlights a key tension between large tech firms such as Meta and others building on decentralized platforms, according to Renz Chong, CEO of a16z-backed modular on-chain platform Sovrun.

“Earlier this year, we saw the rise of open-source frontier models that can go toe-to-toe with closed models from Big Tech,” Chong told Decrypt. “That’s a clear signal: ‘state-of-the-art’ no longer has to mean centralized or proprietary.”

Because most other AI-on-chain projects still lean on “centralized inference endpoints or off-chain APIs,” the predicament places pressure on decentralized players.

“Early infrastructure players are laying critical groundwork, offering decentralized compute and incentivized training layers,” Chong noted.

What is Scale AI?

Scale AI specializes in data labeling services that are essential for training AI systems, working with clients including Google and OpenAI. The startup employs human annotators to classify data that fuels AI models, with much of the work conducted outside the U.S. through labor-intensive processes.

Meta’s investment would reportedly give it a minority stake in Scale AI, allowing the startup to maintain operational independence—a structure that could help Meta avoid additional regulatory scrutiny amid ongoing antitrust battles. Earlier in April, Meta was accused of assisting China’s AI ambitions, prompting a Senate inquiry.

Still, the consolidation of AI resources between tech giants has prompted alternative visions from the decentralized sector. Sovrun, for instance, recently entered a joint venture with Virtuals Protocol to build ReadyGamer, a platform that integrates AI-driven NPCs into popular game worlds.

While those projects experienced a decline in revenue earlier this year, a resurgence is underway, with daily numbers slowly returning to previous levels, according to data maintained by Virtuals Protocol.

Chong argues the real shift may be found not just in making better systems, but in “changing who gets to shape them” and building “outcomes that matter to the communities they serve.”

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June 13, 2025 0 comments

Crypto Trends

Meta is assembling a ‘superintelligence’ AI team with $15b investment in Scale AI

by admin June 11, 2025

Meta hopes to bridge its AI gap with other major tech firms, with CEO Mark Zuckerberg personally assembling an AI “superintelligence group.”

Meta is ramping up efforts to control the future of artificial intelligence. According to a June 10 Bloomberg report, CEO Mark Zuckerberg is personally assembling a team of experts for a new division focused on AI research. At the same time, the company has made a $15 billion investment in Scale AI and recruited its CEO, Alexandr Wang.

Meta’s “superintelligence group” will focus on outpacing companies like OpenAI, Google, and Microsoft in the race toward artificial general intelligence. The goal is to develop machines capable of performing as well as humans on valuable tasks.

Once Meta develops its models, the company plans to integrate them across its product ecosystem, including Facebook, Instagram, and WhatsApp. This also includes its Meta chatbot and its Ray-Ban smart glasses. Zuckerberg reportedly plans to hire 50 people for the new team.

Meta invests nearly $15n in AI startup

A part of its efforts to assemble the superintelligence group is a major investment in an AI startup. Meta made a $14.8 billion investment in Scale AI, according to a June 10 report by The Information. The investment will secure it a 49% stake in the company, as well as recruit its CEO CEO, Alexandr Wang for the new team.

According to Bloomberg, insiders at Meta expressed frustration that the company appears to be trailing its rivals in the AI race. In particular, they cited underwhelming performance from Meta’s Llama 4 large language model, which they believe falls short of competitors from Google and OpenAI.

The AI competition among tech giants is intensifying. Google recently launched a new model that is being integrated into its search product. Meanwhile, Microsoft and Apple have signed partnerships with OpenAI to incorporate its ChatGPT model into their services.

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June 11, 2025 0 comments

GameFi Guides

OpenAI CEO Says We’ve Already Passed the “Superintelligence Event Horizon”

by admin June 11, 2025

In brief

Altman believes ChatGPT now outpaces any human who has ever lived.
Altman referred to this moment as an “event horizon” as AI approaches superintelligence.
ChatGPT now has 800 million weekly users, who Altman said rely on the technology.

Humanity may already be entering the early stages of the singularity, the point at which AI surpasses human intelligence, according to OpenAI CEO Sam Altman. In a blog post published Tuesday, Altman said humanity has crossed a critical inflection point—an “event horizon”—marking the beginning of a new era of digital superintelligence.

“We are past the event horizon; the takeoff has started,” he wrote. “Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be.”

Altman’s analysis comes at a time when leading AI developers warn that artificial general intelligence could soon displace workers and disrupt global economies, outpacing the ability of governments and institutions to respond.

The singularity is a theoretical point when artificial intelligence surpasses human intelligence, leading to rapid, unpredictable technological growth and potentially profound changes in society. An event horizon is a point of no return, beyond which the course of the object, in this case, an AI, cannot be changed.

Altman argued that we’re already entering a “gentle singularity”—a gradual, manageable transition toward powerful digital superintelligence, not a sudden wrenching change. The takeoff has begun, but remains comprehensible and beneficial.

As evidence of that, Altman pointed to the surge in ChatGPT’s popularity since its public launch in 2022: “Hundreds of millions of people rely on it every day and for increasingly important tasks,” he said.

The numbers back him up. In May 2025, ChatGPT reportedly had 800 million weekly active users. Despite ongoing legal battles with authors and media outlets, as well as calls for pauses on AI development, OpenAI shows no signs of slowing down.

Altman emphasized that even slight improvements in the technology could deliver substantial benefits. But a small misalignment, scaled across hundreds of millions of users, could have serious consequences.

To solve for these misalignments, he suggested several points, including:

Ensure AI systems act in line with humanity’s long-term goals, not just short-term impulses.
Avoid concentrated control by any one person, company, or country.
Start global discussions now on what values and limits should guide the development of powerful AI.

Altman said the next five years are critical for AI development.

“2025 has seen the arrival of agents that can do real cognitive work; writing computer code will never be the same,” he said. “2026 will likely see the arrival of systems that can figure out novel insights. 2027 may see the arrival of robots that can do tasks in the real world.”

By 2030, Altman predicted, both intelligence and the capacity to generate and act on ideas will be widely available.

“Already, we live with incredible digital intelligence, and after some initial shock, most of us are pretty used to it,” he said, pointing out how quickly people shift from being impressed by AI to expecting it.

As the world anticipates the rise of artificial general intelligence and the singularity, Altman believes the most astonishing breakthroughs won’t feel like revolutions—they’ll feel ordinary, and the bare minimum AI players need to offer to enter the market.

“This is how the singularity goes: wonders become routine, and then table stakes,” he said.