artificialinteligence

The intersection of Artificial Intelligence and Blockchain is no longer just a "hype" it’s a fundamental shift in the digital economy. As we move through 2026, AI & Computing tokens are leading the charge by solving real-world problems.
Why is Decentralized AI blowing up right now?
Traditional AI is controlled by a few tech giants. But with Decentralized Computing, we are seeing a shift:
• Decentralized Power: Projects like TAO are rewarding the best AI models globally.
• GPU Power on Demand: Platforms like RNDRare democratizing high-end computing for creators everywhere.
• ⁠Autonomous Agents: FET (ASI) is making machine-to-machine transactions a reality.
The Narrative shift:
We are moving away from "Memecoins" and moving towards "Utility-driven Assets." If a project provides the hardware or the intelligence to run the future, it’s a project to watch!
Key Tokens to Keep on Your Radar:
🔹 $TAO (Bittensor) - The brain of decentralized ML.
🔹 $RNDR (Render) - The backbone of digital rendering and AI compute.
🔹 $FET / $ASI - Leading the alliance of Super Intelligence.
💡 What’s your take?
Are you bullish on AI tokens for the long term, or do you think the peak is near? Let’s discuss in the comments! 👇
#AImodel #ArtificialInteligence #BinanceSquare #MarketCorrection #Web3

Sam Altman has declared that the United States is making a mistake in how it approaches China’s artificial intelligence. The OpenAI CEO told a group of journalists in San Francisco that Donald Trump’s latest ban on advanced chips won’t stop Beijing from advancing in AI.
According to CNBC, Sam met with reporters at the Presidio hotel over Mediterranean food, where he explained how serious the situation really is. “I worry about China,” he said.
He warned that this isn’t a race where one side simply pulls ahead and wins. “There’s inference capacity, where China can probably build faster,” Altman explained. “There’s research, there’s product; the entire thing has many layers.”
He argued that the U.S. is focusing on just one part — blocking chip exports — while China is working on the full stack. And despite tighter controls, Sam doubts these efforts are actually working. When asked if fewer GPUs going to China was a win, he responded: “My instinct is that it’s not working.”

Trump Blocks Chips, but Altman Says the Policy Is Failing
Trump, now back in the White House, approved a full ban on exporting high-end chips to China in April 2025. This went further than earlier rules under President Joe Biden, which had already restricted China’s access to advanced AI hardware.
Trump’s new policy even prohibited the sale of modified chips that had been designed to comply with Biden’s earlier rules. But just last week, Washington tweaked the rules again.
Under the new arrangement, Nvidia and AMD can once again sell certain “China-safe” chips — but they must hand over 15% of the revenue from those sales to the U.S. government. Altman didn’t comment directly on this deal, but he made it clear that controlling AI progress through policy alone isn’t realistic.
“You can control exports, but maybe that’s not the right thing… people may just build factories or find other solutions,” he said. “I’d love a simple solution. But my instinct says: this is hard.”
He emphasized that it’s not just about chips. Chinese companies are already collaborating with local suppliers such as Huawei. U.S. controls haven’t stopped them — if anything, they’ve accelerated their efforts. While America remains dependent on Nvidia and AMD, Chinese labs are creating homegrown alternatives.

China’s AI Push Forces OpenAI to Release New Models
Altman added that China’s rapid progress has also forced OpenAI to release new models of its own. For years, the company resisted publishing full models, keeping everything locked behind APIs. But as China releases more open tools such as DeepSeek, OpenAI is shifting course.
“It became clear that if we didn’t do it, the world would lean heavily toward Chinese open-source models,” Sam explained. “That was certainly a factor in our decision. Not the only one, but a major one.”
OpenAI has just released two new models: gpt-oss-120b and gpt-oss-20b. These are the company’s first open-weight models since GPT-2 in 2019. The new models aren’t fully open source — the training data and source code remain closed — but the weights are now public.
This means developers can download and run them, even offline. Altman said the goal was to support developers in building locally-run coding agents.
Sam admitted that these models won’t impress everyone. Some developers argue they lack key features. He didn’t dispute that, saying his team built them for one reason only: and if global demand shifts, they will adapt. “If the world’s demand changes,” he said, “you can pivot to something else.”
At the moment, OpenAI is the only major U.S. company moving in this direction. Meta previously took a similar path with its LLaMA models, but Mark Zuckerberg recently suggested that may change. That leaves OpenAI at the forefront — at least for now — as Chinese labs continue releasing flexible tools available to anyone.
Altman has previously admitted that locking down models put OpenAI “on the wrong side of history.” This new move looks like an attempt to correct that — but also a way to keep developers inside OpenAI’s ecosystem, instead of losing them to Chinese labs offering greater freedom.

#AI , #SamAltman , #ArtificialInteligence , #TRUMP , #china

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Elon Musk’s xAI has recently found itself in the spotlight – and not in the best way. Just four months after his appointment, Chief Financial Officer Mike Liberatore resigned, joining three other senior figures who also left the company within weeks. At the same time, controversy erupted around xAI’s flagship product – the Grok chatbot, which had to be taken offline after posting antisemitic and violent content.

CFO Departure After Record Fundraising
Mike Liberatore took on the CFO role in April and, within weeks, was already behind some of xAI’s biggest financial moves. He helped close a $5 billion debt deal with Morgan Stanley as lead banker and participated in securing another $5 billion in equity funding, nearly half of which came from SpaceX – an unusual move for a company that rarely invests in external firms.
In mid-July, he also signed property filings tied to xAI’s expansion of data centers in Mississippi. Days later, he resigned unexpectedly – with no official explanation from the company.

More Exits: Lawyers and a Co-Founder Leave
Liberatore wasn’t the only one. Soon after, Robert Keele, the company’s general counsel, also left, hinting at philosophical differences with Musk. In his farewell post, he even shared a satirical Grok-generated image of a lawyer in a suit shoveling coal.
Raghu Rao, a senior commercial lawyer, departed around the same time. Then, on August 13, Igor Babuschkin, co-founder of xAI and former researcher at DeepMind and OpenAI, announced his exit to start a venture capital fund focused on AI safety. Musk responded publicly: “We wouldn’t be here without you.”

Grok Sparks Public Backlash
Earlier in the summer, xAI’s focus shifted to Grok, now integrated directly into X. After developers adjusted its parameters to make it “less politically correct,” the chatbot began producing offensive outputs – including conspiracy theories, antisemitic remarks, and violent imagery.
The company was forced to temporarily pull Grok offline and later issued an apology. But the damage to its reputation had already been done.

Linda Yaccarino Also Walks Away
In August, another big name left: Linda Yaccarino, the former CEO of X. After the merger with xAI diminished her role, she stepped down and took on a new position as CEO of eMed Population Health.

What’s Next for xAI?
Top-level departures, a scandal around its flagship chatbot, and simultaneous billion-dollar expansion projects have left observers questioning whether Musk’s xAI has the leadership stability and strategic clarity it needs. While the company is backed by massive funding, its future will depend on retaining top talent and regaining control over technologies that have so far created more scandals than successes.

#ElonMusk , #XAI , #Grok , #ArtificialInteligence , #technews

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,,The information and views presented in this article are intended solely for educational purposes and should not be taken as investment advice in any situation. The content of these pages should not be regarded as financial, investment, or any other form of advice. We caution that investing in cryptocurrencies can be risky and may lead to financial losses.“

14-5-2025 – A curious trend has emerged. While the spot prices of XRP and Dogecoin (DOGE) exhibit a tempered ascent, the futures markets for these digital assets are witnessing a fervent surge in speculative activity, hinting at a burgeoning appetite for volatility and potential downside risks. Glassnode, a respected blockchain analytics firm, has observed a. #ArtificialInteligence #xrp #Doge $XRP
$DOGE