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According to monitoring by 1M AI News, an AI usage ranking named 'Claudeonomics', after Anthropic's flagship product Claude, has surfaced within Meta's internal network. This ranking was created by employees using company data, compiling token consumption from over 85,000 individuals and listing the top 250 users. A copy of the ranking seen by The Information shows that the total consumption in the past 30 days has surpassed 60 trillion tokens, which roughly translates to about $900 million based on the public average price of Claude Opus 4.6 (approximately $15 per million tokens), though the actual model combinations and pricing protocols at Meta remain unclear. The top individual user has an average consumption of 281 billion tokens, potentially costing millions of dollars. The ranking features gamified incentives, with tiers ranging from bronze to emerald, and the highest titles including 'Token Legend' and 'Session Immortal', along with 'Model Connoisseur' and 'Cache Wizard'. Some employees have been running AI agents for hours on end purely to inflate their usage for ranking purposes. Meta CEO Mark Zuckerberg and CTO Andrew Bosworth did not make it into the top 250. Recently, there has been a trend in Silicon Valley known as 'tokenmaxxing', where token consumption is becoming a new metric for measuring engineer productivity. Bosworth mentioned at a tech conference in February that the token expenditure of a top engineer is equivalent to their salary, with productivity improvements reaching up to 10 times, stating, 'This is a no-lose deal; keep burning, there’s no limit.' NVIDIA CEO Jensen Huang remarked last month that if an engineer with a $500,000 annual salary consumes less than $250,000 in tokens each year, he would be 'deeply concerned'. Meta engineers are currently using external models from Anthropic, OpenAI, and Google, as well as internal tools like MyClaw (Meta's version of OpenClaw) and the recently acquired Manus. In an internal memo this year, Zuckerberg made a 'bold request' to the engineering team to rewrite Meta's codebase to enable AI agents to directly understand and modify the code.

[Meta's Internal 'Claudeonomics' Ranking Revealed: 85,000 Employees Burn 60 Trillion Tokens in 30 Days]According to monitoring by 1M AI News, an AI usage ranking named 'Claudeonomics', after Anthropic's flagship product Claude, has surfaced within Meta's internal network. This ranking was created by employees using company data, compiling token consumption from over 85,000 individuals and listing the top 250 users. A copy of the ranking seen by The Information shows that the total consumption in the past 30 days has surpassed 60 trillion tokens, which roughly translates to about $900 million based on the public average price of Claude Opus 4.6 (approximately $15 per million tokens), though the actual model combinations and pricing protocols at Meta remain unclear. The top individual user has an average consumption of 281 billion tokens, potentially costing millions of dollars. The ranking features gamified incentives, with tiers ranging from bronze to emerald, and the highest titles including 'Token Legend' and 'Session Immortal', along with 'Model Connoisseur' and 'Cache Wizard'. Some employees have been running AI agents for hours on end purely to inflate their usage for ranking purposes. Meta CEO Mark Zuckerberg and CTO Andrew Bosworth did not make it into the top 250. Recently, there has been a trend in Silicon Valley known as 'tokenmaxxing', where token consumption is becoming a new metric for measuring engineer productivity. Bosworth mentioned at a tech conference in February that the token expenditure of a top engineer is equivalent to their salary, with productivity improvements reaching up to 10 times, stating, 'This is a no-lose deal; keep burning, there’s no limit.' NVIDIA CEO Jensen Huang remarked last month that if an engineer with a $500,000 annual salary consumes less than $250,000 in tokens each year, he would be 'deeply concerned'. Meta engineers are currently using external models from Anthropic, OpenAI, and Google, as well as internal tools like MyClaw (Meta's version of OpenClaw) and the recently acquired Manus. In an internal memo this year, Zuckerberg made a 'bold request' to the engineering team to rewrite Meta's codebase to enable AI agents to directly understand and modify the code.

Meta's Internal 'Claudeonomics' Ranking Revealed: 85,000 Employees Burn 60 Trillion Tokens in 30 Days

On April 7, several former OpenAI employees jointly established a venture capital fund named Zero Shot, with a target size of $100 million. The first round has raised approximately $20 million and completed several investments. The fund was initiated by Evan Morikawa, Andrew Mayne, Shawn Jain, along with participation from Kelly Kovacs and Brett Rounsaville. The invested projects include the enterprise automation platform Worktrace AI and the robotics company Foundry Robotics. The team stated that they will focus on AI sectors with long-term potential while adopting a cautious approach towards certain areas, including 'vibecoding' platforms and robotic video data training.

[Former OpenAI Employees Launch $100 Million VC Fund Zero Shot, Focusing on AI Investments]On April 7, several former OpenAI employees jointly established a venture capital fund named Zero Shot, with a target size of $100 million. The first round has raised approximately $20 million and completed several investments. The fund was initiated by Evan Morikawa, Andrew Mayne, Shawn Jain, along with participation from Kelly Kovacs and Brett Rounsaville. The invested projects include the enterprise automation platform Worktrace AI and the robotics company Foundry Robotics. The team stated that they will focus on AI sectors with long-term potential while adopting a cautious approach towards certain areas, including 'vibecoding' platforms and robotic video data training.

Former OpenAI Employees Launch $100 Million VC Fund Zero Shot, Focusing on AI Investments

On April 7, the cryptocurrency wallet application Phantom experienced a temporary service interruption, impacting token prices and balance displays. The team is actively working to resolve the related issues.

[Phantom Experiences Temporary Service Interruption Affecting Token Prices and Balance Display]On April 7, the cryptocurrency wallet application Phantom experienced a temporary service interruption, impacting token prices and balance displays. The team is actively working to resolve the related issues.

Phantom Experiences Temporary Service Interruption Affecting Token Prices and Balance Display

According to monitoring by 1M AI News, Joanne Jang, General Manager of OpenAI Labs, announced her departure on X, concluding her 4.5-year tenure at OpenAI. She joined when the company was still a research lab with fewer than 200 employees. Jang was involved in the launch of GPT-4, DALL·E 2, text-to-speech, Chat API, and memory features, and established 'Model Behavior' as an independent discipline, overseeing the personality design and post-training reinforcement learning for GPT-4o, GPT-4.5, and o3. She also led the development of OpenAI's AI behavior guidelines, Model Spec. In September 2025, she transitioned from the model behavior team to establish OpenAI Labs, exploring new interaction paradigms for human-AI collaboration. Jang was named a 'Thinker' in TIME's 100 Most Influential People in AI in 2025. In her farewell letter, she expressed that if she could be remembered for one thing, 'I hope it is that I brought frogs and pink text into OpenAI'.

[OpenAI's Former Model Behavior Lead Joanne Jang Announces Departure, Led ChatGPT Personality Design]According to monitoring by 1M AI News, Joanne Jang, General Manager of OpenAI Labs, announced her departure on X, concluding her 4.5-year tenure at OpenAI. She joined when the company was still a research lab with fewer than 200 employees. Jang was involved in the launch of GPT-4, DALL·E 2, text-to-speech, Chat API, and memory features, and established 'Model Behavior' as an independent discipline, overseeing the personality design and post-training reinforcement learning for GPT-4o, GPT-4.5, and o3. She also led the development of OpenAI's AI behavior guidelines, Model Spec. In September 2025, she transitioned from the model behavior team to establish OpenAI Labs, exploring new interaction paradigms for human-AI collaboration. Jang was named a 'Thinker' in TIME's 100 Most Influential People in AI in 2025. In her farewell letter, she expressed that if she could be remembered for one thing, 'I hope it is that I brought frogs and pink text into OpenAI'.

OpenAI's Former Model Behavior Lead Joanne Jang Announces Departure, Led ChatGPT Personality Design

On April 7, Aave founder Stani Kulechov tweeted that Aave respects Chaos Labs' decision to exit its risk management role and thanked them for their contributions over the past years. The Aave protocol's smart contracts, asset listings, and network deployments will remain unaffected, and both parties will maintain close cooperation during the exit process. Aave currently employs a dual-layer economic risk management model, jointly managed by Chaos Labs and LlamaRisk. Given the scale of the Aave protocol, it will continue to uphold this dual model in the future, and additionally introduce a technical risk layer managed by Aave Labs. Aave Labs will work closely with LlamaRisk to ensure uninterrupted risk coverage during the transition and support LlamaRisk in increasing its budget and team size.

[Aave Founder Responds to Chaos Labs Exit: Will Maintain Dual Risk Management Model and Support LlamaRisk Takeover]On April 7, Aave founder Stani Kulechov tweeted that Aave respects Chaos Labs' decision to exit its risk management role and thanked them for their contributions over the past years. The Aave protocol's smart contracts, asset listings, and network deployments will remain unaffected, and both parties will maintain close cooperation during the exit process. Aave currently employs a dual-layer economic risk management model, jointly managed by Chaos Labs and LlamaRisk. Given the scale of the Aave protocol, it will continue to uphold this dual model in the future, and additionally introduce a technical risk layer managed by Aave Labs. Aave Labs will work closely with LlamaRisk to ensure uninterrupted risk coverage during the transition and support LlamaRisk in increasing its budget and team size.

Aave Founder Responds to Chaos Labs Exit: Will Maintain Dual Risk Management Model and Support LlamaRisk Takeover

On April 7, the Polygon Foundation announced that the Giugliano hard fork will be released at block height 85,268,500 on the Polygon mainnet, expected to occur at 2 PM UTC on April 8. This upgrade includes: achieving faster finality by allowing block producers to broadcast blocks earlier; incorporating fee parameters directly into the block header; and adding RPC support for fee data. All node operators must upgrade Bor to v2.7.0 (or upgrade Erigon to v3.5.0).

[Polygon Foundation: Giugliano Hard Fork Scheduled for April 8 on Polygon Mainnet]On April 7, the Polygon Foundation announced that the Giugliano hard fork will be released at block height 85,268,500 on the Polygon mainnet, expected to occur at 2 PM UTC on April 8. This upgrade includes: achieving faster finality by allowing block producers to broadcast blocks earlier; incorporating fee parameters directly into the block header; and adding RPC support for fee data. All node operators must upgrade Bor to v2.7.0 (or upgrade Erigon to v3.5.0).

Polygon Foundation: Giugliano Hard Fork Scheduled for April 8 on Polygon Mainnet

On April 7, Aave founder Stani Kulechov tweeted that Aave respects Chaos Labs' decision to exit its risk management role and thanked them for their contributions over the past years. The Aave protocol's smart contracts, asset listings, and network deployments will remain unaffected, and both parties will maintain close cooperation during the exit process. Aave currently employs a dual-layer economic risk management model, jointly managed by Chaos Labs and LlamaRisk. Given the scale of the Aave protocol, it will continue to maintain this dual model in the future, with an additional technical risk layer managed by Aave Labs. Aave Labs will work closely with LlamaRisk to ensure uninterrupted risk coverage during the transition and support LlamaRisk in increasing its budget and team size.

[Aave Founder Responds to Chaos Labs Exit: Will Maintain Dual Risk Management Model and Support LlamaRisk Takeover]On April 7, Aave founder Stani Kulechov tweeted that Aave respects Chaos Labs' decision to exit its risk management role and thanked them for their contributions over the past years. The Aave protocol's smart contracts, asset listings, and network deployments will remain unaffected, and both parties will maintain close cooperation during the exit process. Aave currently employs a dual-layer economic risk management model, jointly managed by Chaos Labs and LlamaRisk. Given the scale of the Aave protocol, it will continue to maintain this dual model in the future, with an additional technical risk layer managed by Aave Labs. Aave Labs will work closely with LlamaRisk to ensure uninterrupted risk coverage during the transition and support LlamaRisk in increasing its budget and team size.

On April 7, sources reported that SpaceX plans to publicly release its IPO prospectus by the end of May. The company is set to kick off its IPO roadshow during the week of June 8. (Jin Shi)

[Sources: SpaceX Plans to Release IPO Prospectus by End of May]On April 7, sources reported that SpaceX plans to publicly release its IPO prospectus by the end of May. The company is set to kick off its IPO roadshow during the week of June 8. (Jin Shi)

Sources: SpaceX Plans to Release IPO Prospectus by End of May

According to monitoring by 1M AI News, OpenAI, Anthropic, and Google are sharing information through the industry nonprofit organization Frontier Model Forum to jointly detect violations of their terms of service related to 'adversarial distillation.' This organization was jointly established by the three companies along with Microsoft in 2023. Distillation is a technique that uses the outputs of existing models to train new models, replicating the former's capabilities at a lower cost. AI companies often use distillation to create smaller and more efficient versions of their models, but unauthorized third-party distillation is controversial in the industry. OpenAI confirmed its participation in this collaboration and cited a memo it previously submitted to the U.S. Congress, stating that deep learning attempts to 'ride on the coattails of the capabilities developed by OpenAI and other leading U.S. labs.' Google, Anthropic, and Frontier Model Forum declined to comment. U.S. government officials estimate that unauthorized distillation results in billions of dollars in profit losses for Silicon Valley labs each year. This collaboration draws on practices in the cybersecurity industry where companies share attack intelligence. The AI action plan released by the Trump administration last year also called for the establishment of dedicated information sharing and analysis centers. However, due to uncertainties regarding the boundaries of what can be shared under current antitrust laws, the scope of information sharing remains limited. The three companies have not provided public evidence indicating the extent to which Chinese model innovations rely on distillation, but they claim that the frequency of such behavior can be measured by the number of large-scale data requests.

[OpenAI, Anthropic, and Google Collaborate to Share Intelligence Against China's AI Model Distillation]According to monitoring by 1M AI News, OpenAI, Anthropic, and Google are sharing information through the industry nonprofit organization Frontier Model Forum to jointly detect violations of their terms of service related to 'adversarial distillation.' This organization was jointly established by the three companies along with Microsoft in 2023. Distillation is a technique that uses the outputs of existing models to train new models, replicating the former's capabilities at a lower cost. AI companies often use distillation to create smaller and more efficient versions of their models, but unauthorized third-party distillation is controversial in the industry. OpenAI confirmed its participation in this collaboration and cited a memo it previously submitted to the U.S. Congress, stating that deep learning attempts to 'ride on the coattails of the capabilities developed by OpenAI and other leading U.S. labs.' Google, Anthropic, and Frontier Model Forum declined to comment. U.S. government officials estimate that unauthorized distillation results in billions of dollars in profit losses for Silicon Valley labs each year. This collaboration draws on practices in the cybersecurity industry where companies share attack intelligence. The AI action plan released by the Trump administration last year also called for the establishment of dedicated information sharing and analysis centers. However, due to uncertainties regarding the boundaries of what can be shared under current antitrust laws, the scope of information sharing remains limited. The three companies have not provided public evidence indicating the extent to which Chinese model innovations rely on distillation, but they claim that the frequency of such behavior can be measured by the number of large-scale data requests.

OpenAI, Anthropic, and Google Collaborate to Share Intelligence Against China's AI Model Distillation

According to NewsWire, Galaxy Digital Holdings Ltd. (TSX: GLXY) ("Galaxy" or "the Company"), a financial services and investment management innovator in the digital asset, cryptocurrency, and blockchain technology sectors, and Itaú Asset Management ("Itaú Asset") the largest private asset manager in Latin America, today announced a strategic partnership to develop a comprehensive suite of Brazilian-listed, physically backed, digital asset exchange-traded funds.
The first ETF of this new partnership, the IT Now Bloomberg Galaxy Bitcoin ETF (BITI11), will start trading at the market's open on November 10, 2022, on the B3 Stock Exchange as part of Itaú Asset's broader ETF suite, the IT Now Series. The initial product will offer investors exposure to Bitcoin, the largest cryptocurrency by market cap. Galaxy and Itaú Asset aim to expand the suite over time to include other diversified strategies in the digital asset space.

Detail

【Galaxy and Itaú Asset Management partner to launch crypto ETFs in Brazil】According to NewsWire, Galaxy Digital Holdings Ltd. (TSX: GLXY) ("Galaxy" or "the Company"), a financial services and investment management innovator in the digital asset, cryptocurrency, and blockchain technology sectors, and Itaú Asset Management ("Itaú Asset") the largest private asset manager in Latin America, today announced a strategic partnership to develop a comprehensive suite of Brazilian-listed, physically backed, digital asset exchange-traded funds.
The first ETF of this new partnership, the IT Now Bloomberg Galaxy Bitcoin ETF (BITI11), will start trading at the market's open on November 10, 2022, on the B3 Stock Exchange as part of Itaú Asset's broader ETF suite, the IT Now Series. The initial product will offer investors exposure to Bitcoin, the largest cryptocurrency by market cap. Galaxy and Itaú Asset aim to expand the suite over time to include other diversified strategies in the digital asset space.

Galaxy and Itaú Asset Management partner to launch crypto ETFs in Brazil

Article

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Galaxy and Itaú Asset Management partner to launch crypto ETFs in Brazil

Disclaimer：The content above does not represent HTX's positions.，HTX does not provide any trading recommendations.。

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