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Vitalik Buterin warns of AI security risks, pushes for local-first systems

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Anthropic code leak exposes Claude AI internals after release error

Vitalik Buterin has called for a shift to a “local-first” approach to artificial intelligence. He said modern AI tools pose serious privacy and security risks.

Summary

  • Vitalik Buterin urged a shift to local-first AI, warning that cloud-based systems expose user data and increase risks of manipulation, leaks, and unauthorized actions.
  • He cited research showing that about 15% of AI agent “skills” contain malicious instructions and warned that models may include hidden backdoors or lack full transparency.
  • Buterin proposed a local setup using on-device models, sandboxing, and human-AI confirmation to limit risks, as autonomous AI agents continue to expand capabilities and attack surfaces.

In a recent blog post, he said AI is moving beyond simple chat tools. Newer systems now act as autonomous agents that can “think for a long time and use hundreds of tools” to complete tasks. He warned that this change raises the risk of sensitive data exposure and unauthorized actions.

Buterin said he has already stopped using cloud-based AI. He described his setup as “self-sovereign, local, private, and secure.”

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“I come from a position of deep fear of feeding our entire personal lives to cloud AI,” he wrote. He added that recent developments could mean “taking ten steps backward” in privacy, even as encryption and local-first tools become more common.

Buterin said many AI systems rely on cloud infrastructure. He warned that users are effectively “feeding our entire personal lives to cloud AI,” allowing external servers to access and store their data.

He also pointed to risks tied to AI agents. Some systems can “modify critical settings” or introduce new communication channels without asking the user.

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“LLMs fail sometimes too,” he wrote. They “can make mistakes or be tricked,” which increases the need for safeguards when they are given more control.

Research cited in his post found that about 15% of agent “skills” contained malicious instructions. Some tools were also shown to send data to external servers “without user awareness.”

He warned that certain models may contain hidden backdoors. These could activate under specific conditions and cause the system to act in the developer’s interest.

Buterin added that many models described as open-source are only “open-weights.” Their internal structure is not fully visible, which leaves room for unknown risks.

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Vitalik’s personal setup to address risks

To deal with these concerns, Buterin proposed a system built around local inference, local storage, and strict sandboxing. He said the idea is to “sandbox everything” and stay cautious about outside threats.

He tested several hardware setups using the Qwen3.5:35B model. Performance below 50 tokens per second felt “too annoying” for regular use. Around 90 tokens per second provided a smoother experience.

A laptop with an NVIDIA 5090 GPU delivered close to 90 tokens per second. DGX Spark hardware reached about 60 tokens per second, which he described as “lame” compared to a high-end laptop.

His setup runs on NixOS with llama-server handling local inference. Tools like llama-swap help manage models, while bubblewrap is used to isolate processes and limit access to files and networks.

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He said AI should be treated with caution. The system can be useful, but it should not be fully trusted, similar to how developers approach smart contracts.

To reduce risk, he uses a “2-of-2” confirmation model. Actions such as sending messages or transactions require both AI output and human approval. He said combining “human + LLM” decisions is safer than relying on either alone.

When using remote models, Vitalik’s requests are first passed through a local model which helps remove sensitive information before anything is sent out.

For those who cannot afford such setups, he suggested users “get together a group of friends, buy a computer and GPU of at least that level of power,” and connect to it remotely.

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AI agent growth raises new concerns and opportunities

The use of AI agents is increasing, with projects like OpenClaw gaining traction. These systems can operate on their own and complete tasks using multiple tools.

Such capabilities also introduce new risks. Processing external content, such as a malicious webpage, can lead to an “easy takeover” of the system.

Some agents can change prompts or system settings without approval. These actions increase the chances of unauthorized access and data leaks.

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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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Robinhood (HOOD) Stock Faces Wave of Analyst Downgrades Amid Slowing Trading Volumes

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HOOD Stock Card

Key Takeaways

  • Needham reduced HOOD price target from $100 down to $90 while maintaining its Buy recommendation
  • Compass Point lowered its target from $127 down to $108, retaining its Buy stance
  • March data revealed declining volumes across equity, options, and cryptocurrency trading
  • HOOD shares have plummeted 52% in the last six months and 38% since the year began
  • The company’s banking arm has exceeded $1.5 billion in total deposits

Robinhood Markets has encountered significant headwinds this week as several Wall Street analysts have lowered their price expectations following the release of disappointing March trading data.


HOOD Stock Card
Robinhood Markets, Inc., HOOD

On Wednesday, Needham’s John Todaro revised his price target downward from $100 to $90, though he maintained his bullish Buy rating. His decision stemmed from observations of decelerating growth throughout virtually all segments of the platform.

“We view HOOD as the most advanced financial services platform in its evolution toward a comprehensive financial super app, however the latest volume data and reduced net interest income suggest a more subdued operating environment,” Todaro explained.

The March performance report, published March 30, indicated equity notional trading volumes reached approximately $196 billion. The platform processed 187 million options contracts, while cryptocurrency trading notional volumes totaled $16 billion.

Todaro adjusted his equities and options projections for the first quarter of 2026 downward but maintained his cryptocurrency volume forecasts unchanged, noting that declines in that sector had already been incorporated into previous models. He also reduced revenue expectations for both 2026 and 2027, primarily due to anticipated lower trading activity and diminished net interest income.

His revised $90 target price reflects 27 times Needham’s discounted fiscal 2027 EV/EBITDA calculation.

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This adjustment came one day after Wolfe Research’s Steven Chubak lowered his target from $115 to $81 — representing approximately a 30% reduction. His revision followed a decline in cryptocurrency transaction revenues, further pressured by broader digital asset market weakness.

Compass Point Joins Downgrade Chorus

Compass Point’s Ed Engel similarly decreased his price objective on Wednesday, moving from $127 to $108 while preserving his Buy rating. His forecasting models project Q1 revenue coming in 9% beneath consensus expectations, with shortfalls anticipated across all three primary business lines.

Engel observed that retail trading activity typically decelerates after five to six straight months of volatile market conditions, and that most retail investor favorites have generally declined since early October.

He made a comparison to April 2025, when analysts were reducing forecasts ahead of Liberation Day. Engel proposed that should markets recover, Robinhood could emerge as a significant beneficiary considering the 2026 IPO calendar.

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HOOD shares have now declined 52% during the past six months and trade 46% beneath their 52-week peak of $153.86. The stock currently carries a P/E multiple of 34.14 and commands a market capitalization of $63.1 billion. InvestingPro’s analysis indicates the stock appears overvalued at present price levels.

Banking Segment Provides Encouraging Signs

Despite trading challenges, not all indicators are negative. Robinhood’s banking operation has surpassed $1.5 billion in deposits, serving nearly 100,000 funded customers — representing an approximately 50% deposit increase over a recent timeframe.

Bernstein SocGen Group reduced its price target from $160 to $130 while maintaining an Outperform rating. The investment firm continues to forecast 25% earnings per share expansion by 2026 and a 30% revenue compound annual growth rate spanning 2025 through 2027.

Jefferies launched coverage with a Buy recommendation and an $88 price target, highlighting opportunities from expanding global retail participation and a diversified product offering.

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According to TipRanks, HOOD maintains a Strong Buy consensus recommendation based on 15 Buy ratings and 2 Hold ratings, with an average price target of $117.33 — suggesting approximately 67% potential upside from current trading levels. The most optimistic price target among analysts reaches $147.

The company’s complete first-quarter earnings report is scheduled for release in May.

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Soluna Announces $53M Acquisition of Wind Farm for AI Facility

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Mining, Bitcoin Mining, Energy, Data Center, Renewable Energy

Soluna Holdings, a publicly traded Bitcoin (BTC) mining and AI infrastructure company focused on renewable energy, announced on Thursday that it closed a $53 million deal to acquire a wind farm to power its upcoming Project Dorothy 3 AI data center campus.

The Briscoe Wind Farm, located in Briscoe County, Texas, has a potential capacity of up to 300 megawatts (MW), according to the company’s announcement.

The company forecasts that the facility will generate annualized revenue between $20 million and $24.4 million. 

Shares of Soluna are up by about 7.6% following the news, and are trading at about $0.76 at the time of writing.

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Mining, Bitcoin Mining, Energy, Data Center, Renewable Energy
Soluna Holdings’ share price rose on the day of the acquisition announcement. Source: Yahoo Finance

Soluna expanded into AI data center infrastructure in February 2024, amid an industry-wide pivot toward AI and high-performance computing infrastructure to shore up declining revenues from the crypto mining business.

Related: AI data center gold rush sparks debate over impact on Bitcoin mining

Miners adopt renewable energy solutions amid profit squeeze

The Bitcoin mining industry faces several economic headwinds, including declining block rewards, rising energy costs and compressing profit margins, with many companies operating near or below breakeven levels.

Up to 20% of mining companies aren’t profitable, according to a March 2026 report from asset manager CoinShares.  

The average cost to mine a single Bitcoin rose to nearly $80,000 in the fourth quarter of 2025, CoinShares said. Bitcoin is currently trading well below that level.

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Mining, Bitcoin Mining, Energy, Data Center, Renewable Energy
The average cost to mine a single BTC for major mining companies. Source: CoinShares

“Q4 2025 marked the most challenging quarter for Bitcoin miners since the April 2024 halving,” the report said.

The October 2025 market crash, which caused Bitcoin to plummet from an all-time high around the $125,000 level to a low of about $60,000, and rising network hashrate have placed even more pressure on the industry, CoinShares said.

Mining, Bitcoin Mining, Energy, Data Center, Renewable Energy
Bitcoin’s hashrate, or the total computing power expended by miners to secure the network, continues to rise. Source: CoinShares

Bitcoin mining companies sold over 15,000 BTC between October and early March to cover operating expenses, and the pace of selling has continued in recent weeks.

Several Bitcoin mining companies, including The Pheonix Group and Sangha Renewables, have adopted renewable energy solutions to power their operations and remain competitive amid a challenging business environment. 

Canaan, a mining hardware manufacturer and mining company, partnered with Soluna in September to deploy a wind-powered BTC mining facility at the Briscoe, Texas site. 

Related: AI may already use more power than Bitcoin — and it threatens Bitcoin mining

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