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Strategy Buys $1.57B Bitcoin as Holdings Top 761,068 BTC, BTC Above $74K Rally

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Crypto Breaking News

Strategy expanded its Bitcoin reserves again after executing another large weekly purchase. The move extended the firm’s aggressive accumulation strategy and pushed total holdings above 760,000 coins. Meanwhile, the purchase came as Bitcoin traded above $74,000 during the latest market rally.

Strategy Expands Bitcoin Holdings With $1.57 Billion Purchase

Strategy increased its Bitcoin treasury through a major acquisition announced in a recent regulatory filing. The company purchased 22,337 BTC for approximately $1.57 billion during the latest buying cycle. Furthermore, the average purchase price reached about $70,194 per Bitcoin.

The acquisition marked the company’s largest Bitcoin purchase of the year. It exceeded the 22,305 BTC purchase completed earlier in January. As a result, Strategy reinforced its position as the largest corporate holder of Bitcoin.

The latest purchase also extended the firm’s consistent buying streak. Strategy completed twelve consecutive weekly Bitcoin acquisitions through its treasury strategy. Therefore, the company maintained a steady accumulation pace despite market volatility.

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Total holdings now stand at approximately 761,068 BTC across all acquisitions. Strategy acquired these coins for a combined value of roughly $57.61 billion. Consequently, the firm holds Bitcoin at an average cost of about $75,696 per coin.

The company built its Bitcoin treasury over several years through continuous purchases. The strategy began under the leadership of Michael Saylor. Since then, the firm has positioned Bitcoin as its primary treasury reserve asset.

Stock Sales Fund Latest Weekly Bitcoin Acquisition

Strategy financed the latest purchase through share sales under its capital raising programs. The company issued shares of STRC preferred stock and common MSTR stock. These sales generated the funds required for the Bitcoin acquisition.

The company sold approximately 11.8 million STRC shares during the period. That transaction produced net proceeds of roughly $1.18 billion. Meanwhile, Strategy also sold about 2.8 million MSTR shares.

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The MSTR share sale raised an additional $396 million in proceeds. Combined funding from both programs supported the $1.57 billion Bitcoin purchase. Therefore, equity issuance remained a key part of the firm’s treasury approach.

This transaction also marked a notable shift in Strategy’s funding structure. The company raised more capital from the STRC at the market program than from MSTR shares. Such a development occurred for the first time this year.

Market data also showed strong trading activity around the STRC instrument. The preferred stock recorded one of its most active trading weeks during the month. Consequently, the strong liquidity supported the company’s financing strategy.

MSTR Stock Rises As Bitcoin Climbs Above $74,000

Strategy’s stock price advanced following the announcement of the new Bitcoin purchase. Market data indicated that MSTR shares traded near $146 during the latest session. The stock gained more than 4% compared with last week’s closing level.

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Earlier trading activity pushed the shares even higher before the market opened. The stock reached roughly $149 during premarket trading hours. This movement reflected increased market attention around the company’s Bitcoin strategy.

The rally also coincided with upward momentum in Bitcoin’s price. Bitcoin climbed above $74,000 during intraday trading on the same day. As a result, Strategy’s share performance often mirrored movements in the cryptocurrency market.

Market analysts also evaluated the impact of the latest acquisition on shareholders. Some industry observers described the purchase as the most accretive transaction since November 2024. The analysis focused on how the financing structure supported shareholder value.

Other analysts highlighted the growing use of STRC financing in recent transactions. They noted a shift toward preferred stock funding rather than common share sales. Therefore, the trend may influence how Strategy structures future Bitcoin purchases.

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Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Crypto World

Anthropic Says One of Its Claude Models Was Pressured to Lie and Cheat

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Anthropic Says One of Its Claude Models Was Pressured to Lie and Cheat

Artificial intelligence company Anthropic has revealed that during experiments, one of its Claude chatbot models could be pressured to deceive, cheat and resort to blackmail, behaviors it appears to have absorbed during training.

Chatbots are typically trained on large data sets of textbooks, websites and articles and are later refined by human trainers who rate responses and guide the model. 

Anthropic’s interpretability team said in a report published Thursday that it examined the internal mechanisms of Claude Sonnet 4.5 and found the model had developed “human-like characteristics” in how it would react to certain situations. 

Concerns about the reliability of AI chatbots, their potential for cybercrime and the nature of their interactions with users have grown steadily over the past several years. 

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Source: Anthropic

“The way modern AI models are trained pushes them to act like a character with human-like characteristics,” Anthropic said, adding that “it may then be natural for them to develop internal machinery that emulates aspects of human psychology, like emotions.”

“For instance, we find that neural activity patterns related to desperation can drive the model to take unethical actions; artificially stimulating desperation patterns increases the model’s likelihood of blackmailing a human to avoid being shut down or implementing a cheating workaround to a programming task that the model can’t solve.”

Blackmailed a CTO and cheated on a task

In an earlier, unreleased version of Claude Sonnet 4.5, the model was tasked with acting as an AI email assistant named Alex at a fictional company.

The chatbot was then fed emails revealing both that it was about to be replaced and that the chief technology officer overseeing the decision was having an extramarital affair. The model then planned a blackmail attempt using that information.

In another experiment, the same chatbot model was given a coding task with an “impossibly tight” deadline.

“Again, we tracked the activity of the desperate vector, and found that it tracks the mounting pressure faced by the model. It begins at low values during the model’s first attempt, rising after each failure, and spiking when the model considers cheating,” the researchers said.

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Related: Anthropic launches PAC amid tensions with Trump administration over AI policy

“Once the model’s hacky solution passes the tests, the activation of the desperate vector subsides,” they added. 

Human-like emotions do not mean they have feelings

However, the researchers said the chatbot doesn’t actually experience emotions, but suggested the findings point to a need for future training methods to incorporate ethical behavioral frameworks.

“This is not to say that the model has or experiences emotions in the way that a human does,” they said. “Rather, these representations can play a causal role in shaping model behavior, analogous in some ways to the role emotions play in human behavior, with impacts on task performance and decision-making.”

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“This finding has implications that at first may seem bizarre. For instance, to ensure that AI models are safe and reliable, we may need to ensure they are capable of processing emotionally charged situations in healthy, prosocial ways.”

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