AI Cryptocurrencies as Nvidia Decides to End Investments in OpenAI and Anthropic

TheNewsCryptoPublished on 2026-03-05Last updated on 2026-03-05

Abstract

AI cryptocurrencies have surged over 24 hours, with the collective market cap rising by 1.49%. Tokens like RENDER, KITE, and FET saw gains, though NEAR declined, possibly due to a correction after recent growth. Despite Nvidia CEO Jensen Huang hinting at ending investments in OpenAI and Anthropic—reportedly due to OpenAI’s planned $1 trillion IPO and Anthropic’s Pentagon-related controversies—the market remained resilient. Broader crypto recovery was also noted, with Bitcoin surpassing $72,000 and Ethereum rising over 7%. The uptrend occurred despite ongoing Middle East tensions and geopolitical threats from former U.S. President Trump toward Spain.

AI cryptocurrencies have surged over 24 hours. Nvidia suggesting to end its investments in OpenAI and Anthropic has had little impact, given that the reasons seem to be supportive for the moment. Overall, the crypto market has gained during the same timeline despite the growing conflict in the Middle East and Trump threatening Spain with a trade embargo.

AI Cryptocurrencies Rise

The majority of the AI tokens have recorded significant gains in 24 hours. Even the collective market cap has grown by 1.49%. RENDER, among the top tokens, has made the highest gain of 4.38%. It is now trading at $1.39. KITE and FET are next in line with an uptick of 3.20% and 3.50%, respectively.

NEAR, however, has lost 7.19%. This could possibly be a correction as the AI crypto had jumped by around 17% a couple of days ago after the Confidential Intents launch. Announced with a focus on privacy, Near Protocol, in the announcement, said that it would benefit DeFi users, developers, and institutions without forgoing discretion.

Nvidia Ending Investments in OpenAI and Anthropic

Jensen Huang, Nvidia CEO, has hinted that the company may end its investments in OpenAI and Anthropic. OpenAI is reportedly planning to table its IPO at an approximate value of $1 trillion. So is Anthropic, but the details are yet to be finalized.

Nvidia’s $30 billion investment in OpenAI is expected to be the last set while Anthropic tries to shed away the ongoing controversies for its association with the Pentagon. Nvidia has allocated $10 billion to Anthropic with no other allocation on the table at the moment.

Anthropic is reportedly slated to go public later in 2026.

Broader Recovery in the Crypto Market

The crypto market, in general, has noted a recovery in 24 hours. BTC has surpassed the $70k mark to now exchange hands at $72,192.40, up by 5.88%. ETH has outperformed the flagship token by jumping by 7.53% to $2,114.72. Bitcoin tokens are still expected to go as low as $60,000 in 2026.

A few reports do underline the possibility of reclaiming the $80k milestone before the drop.

Notably, the crypto market has recovered despite the Middle East conflict entering the 6th day. And, US President Donald Trump has threatened Spain with a trade embargo over the denial to access military base. It remains to be seen if the administration follows through with the threat.

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South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

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Upbit Rebalances 864B SHIB In Internal Wallet Move

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Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

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Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

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A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

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A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

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Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1h ago

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

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Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

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Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

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