7*24

Hot topic

Market

Activities

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

cfg Surges 10.30% in 24H, Currently at 0.1757 USDT

【cfg currently trades at 0.1757 USDT, up 10.30% in 24h, according to HTX market data.】cfg Surges 10.30% in 24H, Currently at 0.1757 USDT

cfg currently trades at 0.1757 USDT, up 10.30% in 24h, according to HTX market data.

According to monitoring by 1M AI News, OpenAI has announced the opening of applications for the Safety Fellowship, a pilot program aimed at external researchers, engineers, and practitioners. The fellowship will last approximately five months, from September 14, 2026, to February 5, 2027, focusing on AI safety and alignment research. Priority areas include safety assessment, ethics, robustness, scalable mitigation strategies, privacy-preserving safety methods, agent supervision, and high-risk abuse scenarios. Selected fellows will receive a monthly stipend, compute support, and mentorship from OpenAI, with the option to work at the Constellation co-working space in Berkeley or remotely. At the end of the program, participants are required to produce substantial research outputs such as papers, benchmark datasets, or data sets. Scholars will receive API credits and related resources but will not have access to OpenAI's internal systems. Applications are open to candidates from multidisciplinary backgrounds including computer science, social sciences, cybersecurity, privacy, and human-computer interaction, and require a letter of recommendation. The application deadline is May 3, with results to be announced by July 25.

[OpenAI Launches Safety Fellowship for External Researchers with Compute Power and Stipends]According to monitoring by 1M AI News, OpenAI has announced the opening of applications for the Safety Fellowship, a pilot program aimed at external researchers, engineers, and practitioners. The fellowship will last approximately five months, from September 14, 2026, to February 5, 2027, focusing on AI safety and alignment research. Priority areas include safety assessment, ethics, robustness, scalable mitigation strategies, privacy-preserving safety methods, agent supervision, and high-risk abuse scenarios. Selected fellows will receive a monthly stipend, compute support, and mentorship from OpenAI, with the option to work at the Constellation co-working space in Berkeley or remotely. At the end of the program, participants are required to produce substantial research outputs such as papers, benchmark datasets, or data sets. Scholars will receive API credits and related resources but will not have access to OpenAI's internal systems. Applications are open to candidates from multidisciplinary backgrounds including computer science, social sciences, cybersecurity, privacy, and human-computer interaction, and require a letter of recommendation. The application deadline is May 3, with results to be announced by July 25.

OpenAI Launches Safety Fellowship for External Researchers with Compute Power and Stipends

According to monitoring by 1M AI News, AI programming tool Cursor has released a technical blog introducing its self-developed MoE (Mixture of Experts) inference acceleration method, Warp Decode. This method targets small-batch token generation scenarios on NVIDIA's Blackwell GPU, flipping the traditional expert-centric parallel strategy to an output-centric approach: each warp (the smallest scheduling unit composed of 32 parallel processing units) in the GPU is responsible for calculating a single output value, independently traversing all routed experts and completing accumulation in registers without any cross-warp synchronization or intermediate buffers. The traditional MoE inference pipeline consists of 8 stages, 5 of which are solely for moving data for expert views without performing actual computations. Warp Decode compresses the entire MoE computation layer into 2 CUDA kernels, eliminating intermediate steps such as padding, scattering, and merging, reducing over 32KB of intermediate buffer read/write per token. Tested on NVIDIA's B200 GPU with a Qwen-3 style model, Warp Decode achieved a 1.84x end-to-end decoding throughput improvement, and due to computing entirely in BF16/FP32 precision, it avoided intermediate quantization loss, resulting in an output accuracy that is 1.4 times closer to the FP32 benchmark compared to traditional paths. In terms of hardware bandwidth utilization, with a batch size of 32, it sustained a throughput of 3.95 TB/s, approximately 58% of the B200's peak bandwidth (6.8 TB/s). This optimization directly accelerates the development iteration and version release pace of Cursor's self-developed programming model, Composer.

[Cursor Unveils MoE Inference Optimization Technology Warp Decode, Achieving 1.84x Throughput Improvement on Blackwell GPU]According to monitoring by 1M AI News, AI programming tool Cursor has released a technical blog introducing its self-developed MoE (Mixture of Experts) inference acceleration method, Warp Decode. This method targets small-batch token generation scenarios on NVIDIA's Blackwell GPU, flipping the traditional expert-centric parallel strategy to an output-centric approach: each warp (the smallest scheduling unit composed of 32 parallel processing units) in the GPU is responsible for calculating a single output value, independently traversing all routed experts and completing accumulation in registers without any cross-warp synchronization or intermediate buffers. The traditional MoE inference pipeline consists of 8 stages, 5 of which are solely for moving data for expert views without performing actual computations. Warp Decode compresses the entire MoE computation layer into 2 CUDA kernels, eliminating intermediate steps such as padding, scattering, and merging, reducing over 32KB of intermediate buffer read/write per token. Tested on NVIDIA's B200 GPU with a Qwen-3 style model, Warp Decode achieved a 1.84x end-to-end decoding throughput improvement, and due to computing entirely in BF16/FP32 precision, it avoided intermediate quantization loss, resulting in an output accuracy that is 1.4 times closer to the FP32 benchmark compared to traditional paths. In terms of hardware bandwidth utilization, with a batch size of 32, it sustained a throughput of 3.95 TB/s, approximately 58% of the B200's peak bandwidth (6.8 TB/s). This optimization directly accelerates the development iteration and version release pace of Cursor's self-developed programming model, Composer.

Cursor Unveils MoE Inference Optimization Technology Warp Decode, Achieving 1.84x Throughput Improvement on Blackwell GPU

According to Cointelegraph, Voyager Digital has preferred not sue its top executives for incompetence, in spite of their role in approving a huge loan to Three Arrows Capital (3AC) without adequate due diligence. That loan was a key element leading to Voyager Digital’s bankruptcy. Court papers filed Oct. 17 show that a Voyager Digital internal special committee has proposed that CEO Stephen Ehrlich and chief commercial officer (formerly chief financial officer) Evan Psaropolous keep their jobs and not be sued. The committee did not find any evidence of fraud in the executives’ actions. According to the court filing, Ehrlich and Psaropolous are “making additional contributions to the [Reorganization] Plan pursuant to the settlements reached with the Special Committee.” Ehrlich will pay the company $1.125 million in cash under the committee’s proposal, which is subject to approval by the bankruptcy judge. The company has $20 million in directors and officers liability insurance to make claims against as well.

Detail

【Voyager Digital won’t sue its executives for incompetence, will claim insurance on them】According to Cointelegraph, Voyager Digital has preferred not sue its top executives for incompetence, in spite of their role in approving a huge loan to Three Arrows Capital (3AC) without adequate due diligence. That loan was a key element leading to Voyager Digital’s bankruptcy. Court papers filed Oct. 17 show that a Voyager Digital internal special committee has proposed that CEO Stephen Ehrlich and chief commercial officer (formerly chief financial officer) Evan Psaropolous keep their jobs and not be sued. The committee did not find any evidence of fraud in the executives’ actions. According to the court filing, Ehrlich and Psaropolous are “making additional contributions to the [Reorganization] Plan pursuant to the settlements reached with the Special Committee.” Ehrlich will pay the company $1.125 million in cash under the committee’s proposal, which is subject to approval by the bankruptcy judge. The company has $20 million in directors and officers liability insurance to make claims against as well.

Voyager Digital won’t sue its executives for incompetence, will claim insurance on them

Article

Arc Blockchain Releases Post-Quantum Cryptography Roadmap

China's AI Model Usage Surges Over 31%, Outpacing the U.S. for Five Consecutive Weeks

Software Engineering Job Openings Reach Three-Year High; a16z Co-Founder Andreessen Calls AI Unemployment Claims 'Completely False'

Iranian Senior Official: Iran Will Not Accept 'Diktat'

BTC broke through 70000  USDT

Voyager Digital won’t sue its executives for incompetence, will claim insurance on them

Clause de non-responsabilité：Le contenu ci-dessus ne représente pas les positions de HTX.，HTX ne fournit pas de recommandations de trading.。

Articles connexes

Tous les commentaires0RécentPopulaire

Sujets d'actualité

Articles connexes