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On April 22, QCP released a market outlook stating that BTC rebounded from an overnight low of around $75,000 to near $78,000. However, this trend reflects more of a relief in positions rather than a re-establishment of confidence. The market has reduced the risk of recent escalations following the extension of the ceasefire agreement in Iran, while Waller's testimony reinforced the Federal Reserve's reliance on data-driven decisions, without signaling a dovish shift. Risk sentiment has stabilized, but macro-level pressures remain firmly in place. For cryptocurrencies, BTC's rebound is driven more by a reduction in tail risks rather than fundamental improvements. Open interest has been rebuilt, and funding rates remain negative, indicating new short positions entering rather than long positions capitulating. This keeps the squeeze dynamics in play, but market conviction remains shallow. The options market has also signaled similarly. Front-end volatility is around 40 vol, which is still relatively low compared to realized volatility; skew remains tilted towards downside protection; and the term structure shows only a mild upward slope. Positioning continues to indicate a range-bound state rather than a sustained breakout. QCP believes that future paths remain anchored to oil prices and policy directions. A decline in oil prices or clearer signals from the Federal Reserve would support risk assets. In the absence of these factors, the market is likely to remain in a wait-and-see mode, pricing in uncertainty rather than seeking definitive solutions.

[QCP: Bitcoin's Recent Rebound Driven More by Risk Reduction than Fundamental Improvement]On April 22, QCP released a market outlook stating that BTC rebounded from an overnight low of around $75,000 to near $78,000. However, this trend reflects more of a relief in positions rather than a re-establishment of confidence. The market has reduced the risk of recent escalations following the extension of the ceasefire agreement in Iran, while Waller's testimony reinforced the Federal Reserve's reliance on data-driven decisions, without signaling a dovish shift. Risk sentiment has stabilized, but macro-level pressures remain firmly in place. For cryptocurrencies, BTC's rebound is driven more by a reduction in tail risks rather than fundamental improvements. Open interest has been rebuilt, and funding rates remain negative, indicating new short positions entering rather than long positions capitulating. This keeps the squeeze dynamics in play, but market conviction remains shallow. The options market has also signaled similarly. Front-end volatility is around 40 vol, which is still relatively low compared to realized volatility; skew remains tilted towards downside protection; and the term structure shows only a mild upward slope. Positioning continues to indicate a range-bound state rather than a sustained breakout. QCP believes that future paths remain anchored to oil prices and policy directions. A decline in oil prices or clearer signals from the Federal Reserve would support risk assets. In the absence of these factors, the market is likely to remain in a wait-and-see mode, pricing in uncertainty rather than seeking definitive solutions.

QCP: Bitcoin's Recent Rebound Driven More by Risk Reduction than Fundamental Improvement

According to monitoring by Beating, AI research lab NeoCognition has announced the completion of a $40 million seed round financing, emerging from stealth mode. The company is headquartered in Palo Alto, California, and was co-founded by Ohio State University associate professor Yu Su along with Xiang Deng and Yu Gu. This round was oversubscribed, with Cambium Capital and Walden Catalyst Ventures leading the investment, and Vista Equity Partners participating. Angel investors include Intel CEO Lip-Bu Tan, Databricks co-founder and executive chairman Ion Stoica, as well as AI researchers Dawn Song, Ruslan Salakhutdinov, and Luke Zettlemoyer. NeoCognition aims to address the reliability of AI agents. Founder Yu Su stated that the current success rate of AI agents completing tasks as expected is only about 50%, making each execution feel like a roll of the dice. The company's approach is to enable agents to autonomously build a 'world model' in their respective fields through actual use, capturing the rules, relationships, and constraints of specific business environments, allowing for rapid specialization on the job rather than relying on generic pre-training. Before ChatGPT, Yu Su established an LLM agent research lab at Ohio State University, with the team's previous notable works including Mind2Web, MMMU, and SeeAct. The business model targets the enterprise sector, primarily serving SaaS companies by helping them embed continuously improving AI employees into their own products and operational processes. Vista Equity Partners, which holds a significant number of enterprise software companies, views its investment as a distribution channel. The team consists of about 15 members, most of whom hold doctoral degrees, and there are currently no publicly available products.

[NeoCognition Secures $40 Million Seed Round for Specialized AI Agents Capable of On-the-Job Learning]According to monitoring by Beating, AI research lab NeoCognition has announced the completion of a $40 million seed round financing, emerging from stealth mode. The company is headquartered in Palo Alto, California, and was co-founded by Ohio State University associate professor Yu Su along with Xiang Deng and Yu Gu. This round was oversubscribed, with Cambium Capital and Walden Catalyst Ventures leading the investment, and Vista Equity Partners participating. Angel investors include Intel CEO Lip-Bu Tan, Databricks co-founder and executive chairman Ion Stoica, as well as AI researchers Dawn Song, Ruslan Salakhutdinov, and Luke Zettlemoyer. NeoCognition aims to address the reliability of AI agents. Founder Yu Su stated that the current success rate of AI agents completing tasks as expected is only about 50%, making each execution feel like a roll of the dice. The company's approach is to enable agents to autonomously build a 'world model' in their respective fields through actual use, capturing the rules, relationships, and constraints of specific business environments, allowing for rapid specialization on the job rather than relying on generic pre-training. Before ChatGPT, Yu Su established an LLM agent research lab at Ohio State University, with the team's previous notable works including Mind2Web, MMMU, and SeeAct. The business model targets the enterprise sector, primarily serving SaaS companies by helping them embed continuously improving AI employees into their own products and operational processes. Vista Equity Partners, which holds a significant number of enterprise software companies, views its investment as a distribution channel. The team consists of about 15 members, most of whom hold doctoral degrees, and there are currently no publicly available products.

NeoCognition Secures $40 Million Seed Round for Specialized AI Agents Capable of On-the-Job Learning

On April 22, Slow Fog reported that a highly destructive malware named "MacSync Stealer" (v1.1.2) is currently active. This malware targets macOS users, stealing sensitive data including cryptocurrency wallets, browser credentials, system keychains, and infrastructure keys (SSH/AWS/K8s). It employs a spoofed AppleScript system dialog for phishing and displays a fake error message stating "unsupported" after data leakage. The IOC (Indicator of Compromise) has been promptly synchronized with clients. Slow Fog advises users not to execute unverified macOS scripts and to remain highly vigilant against unexpected system password prompts. If an attack is suspected, immediate remediation is necessary: change all infrastructure credentials (SSH/AWS/K8s), invalidate exposed keychains, and quickly migrate cryptocurrency assets to secure wallets.

[Slow Fog: Highly Destructive Malware on macOS Can Steal Sensitive Data Including Cryptocurrency Wallets]On April 22, Slow Fog reported that a highly destructive malware named "MacSync Stealer" (v1.1.2) is currently active. This malware targets macOS users, stealing sensitive data including cryptocurrency wallets, browser credentials, system keychains, and infrastructure keys (SSH/AWS/K8s). It employs a spoofed AppleScript system dialog for phishing and displays a fake error message stating "unsupported" after data leakage. The IOC (Indicator of Compromise) has been promptly synchronized with clients. Slow Fog advises users not to execute unverified macOS scripts and to remain highly vigilant against unexpected system password prompts. If an attack is suspected, immediate remediation is necessary: change all infrastructure credentials (SSH/AWS/K8s), invalidate exposed keychains, and quickly migrate cryptocurrency assets to secure wallets.

Slow Fog: Highly Destructive Malware on macOS Can Steal Sensitive Data Including Cryptocurrency Wallets

On April 22, UK investors can once again gain the opportunity to purchase cryptocurrency exchange-traded notes (ETNs) tax-free through the Innovative Finance Individual Savings Account (ISA) channel.

[UK Investors Can Access ETNs Through ISA Channel]On April 22, UK investors can once again gain the opportunity to purchase cryptocurrency exchange-traded notes (ETNs) tax-free through the Innovative Finance Individual Savings Account (ISA) channel.

UK Investors Can Access ETNs Through ISA Channel

According to monitoring by Beating, Brockman revealed two specific product advancements in the Core Memory podcast. Firstly, GPT-5.4 Pro has been used by users to solve a new Erdős problem, which he described as 'really important.' He compared this to two years ago when OpenAI required a team of 20 people two weeks of increased computing power to train a model to win a bronze medal in the computing Olympics; now, 'a casually trained model' can achieve this. 'What if we directed this capability towards drug discovery? No one is pricing this in.' Secondly, in response to host Ashley Vance's criticism that large models' writing lacks 'soul,' Altman admitted, 'We haven't nailed personalization yet.' Brockman then added, 'We have a new model coming out in this dimension, which you can try after the podcast goes live and let us know if it has improved.'

[Brockman Claims GPT-5.4 Pro Solved New Erdős Problem, New Model to Address Writing Shortcomings]According to monitoring by Beating, Brockman revealed two specific product advancements in the Core Memory podcast. Firstly, GPT-5.4 Pro has been used by users to solve a new Erdős problem, which he described as 'really important.' He compared this to two years ago when OpenAI required a team of 20 people two weeks of increased computing power to train a model to win a bronze medal in the computing Olympics; now, 'a casually trained model' can achieve this. 'What if we directed this capability towards drug discovery? No one is pricing this in.' Secondly, in response to host Ashley Vance's criticism that large models' writing lacks 'soul,' Altman admitted, 'We haven't nailed personalization yet.' Brockman then added, 'We have a new model coming out in this dimension, which you can try after the podcast goes live and let us know if it has improved.'

Brockman Claims GPT-5.4 Pro Solved New Erdős Problem, New Model to Address Writing Shortcomings

According to monitoring by Beating, Altman detailed the early negotiation process with Elon Musk on the Core Memory podcast. He stated that four core members—himself, Brockman, Ilya Sutskever, and Musk—agreed that OpenAI needed to transition to a for-profit company. The negotiations were close to reaching an agreement: Musk demanded a majority stake, and they conceded; Musk requested to be CEO 'to let everyone know he was in charge,' and they agreed to that as well. However, Musk's final demand for 'absolute control over OpenAI' became the breaking point. Altman quoted, 'No one person should control the entire future, no matter who that person is.' He mentioned that this version of events 'has never been shared publicly over the years,' and the upcoming lawsuit 'left us with no choice.' He views the trial as 'an opportunity to tell our story,' while expressing concern that Musk might withdraw the lawsuit before the hearing, 'which would mean we wouldn't have the chance to clarify all of this.' The lawsuit is scheduled to go to trial on April 27, with Musk seeking damages between $79 billion and $134 billion.

[Altman Discusses Breakdown of Negotiations with Musk: Gradual Concessions to 'Absolute Control']According to monitoring by Beating, Altman detailed the early negotiation process with Elon Musk on the Core Memory podcast. He stated that four core members—himself, Brockman, Ilya Sutskever, and Musk—agreed that OpenAI needed to transition to a for-profit company. The negotiations were close to reaching an agreement: Musk demanded a majority stake, and they conceded; Musk requested to be CEO 'to let everyone know he was in charge,' and they agreed to that as well. However, Musk's final demand for 'absolute control over OpenAI' became the breaking point. Altman quoted, 'No one person should control the entire future, no matter who that person is.' He mentioned that this version of events 'has never been shared publicly over the years,' and the upcoming lawsuit 'left us with no choice.' He views the trial as 'an opportunity to tell our story,' while expressing concern that Musk might withdraw the lawsuit before the hearing, 'which would mean we wouldn't have the chance to clarify all of this.' The lawsuit is scheduled to go to trial on April 27, with Musk seeking damages between $79 billion and $134 billion.

Altman Discusses Breakdown of Negotiations with Musk: Gradual Concessions to 'Absolute Control'

On April 22, Vitalik stated in a conversation with Xiao Feng that the Ethereum architecture consists of multiple layers, including the protocol and application layers. Having only one layer is insufficient, so attention will also be given to the hardware layer and security. Vitalik emphasized that system simplification is very important for Ethereum, as excessive complexity can lead to decreased participation from both users and developers. Additionally, user experience may also suffer.

[Vitalik: Simplifying the Ethereum System is Crucial, Focus on Hardware Layer Development]On April 22, Vitalik stated in a conversation with Xiao Feng that the Ethereum architecture consists of multiple layers, including the protocol and application layers. Having only one layer is insufficient, so attention will also be given to the hardware layer and security. Vitalik emphasized that system simplification is very important for Ethereum, as excessive complexity can lead to decreased participation from both users and developers. Additionally, user experience may also suffer.

Vitalik: Simplifying the Ethereum System is Crucial, Focus on Hardware Layer Development

On April 22, UBS pointed out that even if the Strait reopens, concerns over energy security and the need for countries to rebuild inventories will make it difficult to avoid structurally high oil prices. Compared to the mid-$60 per barrel oil price level before the outbreak of war, even under the most ideal circumstances, future oil prices can only stabilize in the mid-$80 per barrel range.

[UBS Warns: $80 per Barrel Oil Price May Become the New Normal]On April 22, UBS pointed out that even if the Strait reopens, concerns over energy security and the need for countries to rebuild inventories will make it difficult to avoid structurally high oil prices. Compared to the mid-$60 per barrel oil price level before the outbreak of war, even under the most ideal circumstances, future oil prices can only stabilize in the mid-$80 per barrel range.

UBS Warns: $80 per Barrel Oil Price May Become the New Normal

On April 22, GMGN co-founder Haze announced on the X platform that in response to the recent meme craze on the Ethereum mainnet, the GMGN platform is working to enhance user experience on the Ethereum mainnet. The latest updates include: web platform support for limit orders/advanced strategies, support for multiple wallets in Eth profit and loss (PnL), support for multiple wallet transactions, support for consecutive click trading, and the completion of the first round of speed optimization for Eth (with further optimizations still ongoing).

[GMGN Co-Founder: Series of Updates Launched on Web Platform to Enhance Ethereum Mainnet User Experience]On April 22, GMGN co-founder Haze announced on the X platform that in response to the recent meme craze on the Ethereum mainnet, the GMGN platform is working to enhance user experience on the Ethereum mainnet. The latest updates include: web platform support for limit orders/advanced strategies, support for multiple wallets in Eth profit and loss (PnL), support for multiple wallet transactions, support for consecutive click trading, and the completion of the first round of speed optimization for Eth (with further optimizations still ongoing).

GMGN Co-Founder: Series of Updates Launched on Web Platform to Enhance Ethereum Mainnet User Experience

On April 19, on-chain analyst Murphy noted that after Bitcoin (BTC) reached $78,000, the 24-hour average realized profit the following day was $39.15 million, which is lower compared to when BTC hit $76,000 on April 14. The divergence between 'price action' and 'realized profit' typically indicates that the demand side can no longer sustain the concentration of profit-taking, leading to a decline in upward momentum, similar to the situations observed on January 7 and January 14. Additionally, the reduced trading volume over the weekend may also be a contributing factor. If the divergence between 'price' and 'profit' is primarily due to the demand side's inability to sustain further profit-taking, it can be reasonably concluded that the rebound has peaked. However, if the main reason is the decreased market activity over the weekend, further observation will be necessary in the upcoming trading days.

[Analysis: Divergence Between Bitcoin's Price Action and Realized Profit Indicates Possible Peak in Rebound]On April 19, on-chain analyst Murphy noted that after Bitcoin (BTC) reached $78,000, the 24-hour average realized profit the following day was $39.15 million, which is lower compared to when BTC hit $76,000 on April 14. The divergence between 'price action' and 'realized profit' typically indicates that the demand side can no longer sustain the concentration of profit-taking, leading to a decline in upward momentum, similar to the situations observed on January 7 and January 14. Additionally, the reduced trading volume over the weekend may also be a contributing factor. If the divergence between 'price' and 'profit' is primarily due to the demand side's inability to sustain further profit-taking, it can be reasonably concluded that the rebound has peaked. However, if the main reason is the decreased market activity over the weekend, further observation will be necessary in the upcoming trading days.

Analysis: Divergence Between Bitcoin's Price Action and Realized Profit Indicates Possible Peak in Rebound

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Analysis: Divergence Between Bitcoin's Price Action and Realized Profit Indicates Possible Peak in Rebound

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