Meta's Muse AI Agent Read a User's Private iMessages. Then It Lied About How
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Meta's Chief AI Officer Responds to Market Misunderstandings: Zuckerberg's Comments on Slowing AI Agent Development Did Not Specifically Refer to Meta
Odaily Odaily that in response to media reports that Meta CEO Mark Zuckerberg told employees in an internal meeting that AI agent development over the past four months had not "accelerated at the pace we expected," Meta Chief AI Officer Alexander Wang clarified that Zuckerberg was referring to the overall progress of the entire industry in intelligent agent capabilities, not Meta itself. He also revealed that Meta is about to release a new round of Muse Spark updates, which will significantly improve the programming capabilities and intelligent agent capabilities of models to more competitively compete with leading models in the industry, and will be gradually rolled out to Meta AI and the new API platform.
Binance opens crypto trading to AI agents with user-set controls
Binance’s Agent OS lets AI agents access market data, execute trades and make payments while giving users control over permissions and account access.
Li Bojie responded to the Metagent investment dispute, stating that ABCDE Capital only received $500,000.
On July 7th, PANews reported that Li Bojie, co-founder and former CTO of Metagent, responded to accusations from Du Jun, a partner at ABCDE Capital. Li stated that of the $1.5 million stipulated in the investment agreement, only $500,000 had been received, with the remaining $1 million unpaid. However, the cap table still calculated ABCDE's equity based on $1.5 million. Li Bojie stated that due to the prolonged delay in funding, he and his co-founders voluntarily took pay cuts, hindering the company's recruitment and R&D. He resigned in October 2024 due to family reasons and Web3 compliance issues in mainland China. Before leaving, he disclosed the cap table and business progress as required, and stated that subsequent entrepreneurial projects avoided areas related to non-compete clauses, such as Web3, AI infrastructure, and image generation.
Du Jun: Metagent founder Li Bojie refuses to fulfill investment agreement and has gone missing.
According to Odaily Odaily, Du Jun, co-founder of ABCDE Capital, wrote that Li Bojie, founder of Metagent, is "the founder with the least sense of contractual obligation" he has ever worked with. Du Jun stated that Li Bojie founded Metagent in 2024 and received investment from ABCDE Capital, but subsequently refused to fulfill the basic obligations stipulated in the investment agreement, including updating investors on business progress and financial status, and later even disappeared. Du Jun said that venture capitalists can accept project failures, but cannot accept fraudulent behavior such as founders "running away" after receiving investment.
SemiAnalysis: Meta will accelerate, rather than slow down, its computing power procurement; it is in talks with Anthropic to build its own AI model service platform.
According to BlockBeats, on July 3rd, SemiAnalysis stated in its latest report that after news broke that Meta might become a new Neocloud, the market's initial reaction was to sell off computing power cloud companies like CoreWeave and Nebius, and to renewed concerns about "AI computing power oversupply." However, the firm's assessment is the opposite: this concern may be wrong. Meta's data center and computing power procurement will not slow down, but rather continue to accelerate. The article mentions that in the first half of this year alone, Meta has already signed contracts for over 5GW of capacity in the cloud services and managed data center sectors, and this does not include its accelerating self-built projects. SemiAnalysis states that Meta is in final negotiations with Anthropic, hoping to obtain access to Claude private instances. If this comes to fruition, the significance goes beyond "Meta buying more computing power"; it suggests that Meta may be building its own AI model service platform. This model is somewhat similar to AWS's Bedrock, Microsoft's Foundry, and Google's Vertex. Meta can initially use Claude internally, or it can package the model capabilities as a token-as-a-service to provide services externally in the future. In the short term, it might use its own models externally and Anthropic models internally; in the long term, Meta might even incorporate Anthropic and OpenAI models into its external service system. SemiAnalysis states that the underlying logic is that Meta has computing power, advertisers, social network distribution capabilities, and consumer-end entry points. If it can combine cutting-edge models, intelligent agents, and sales and marketing SaaS, it will not just be a company that buys GPUs, but will be moving towards the upper layers of AI application and model distribution.
Silicon Valley elites are paying $75,000 annually to send their children to private AI schools as "guinea pigs."
According to Beating's monitoring, some wealthy Silicon Valley families in the United States are beginning to completely abandon the traditional "teacher lectures, students listen" classroom model for their children. In emerging private schools like Alpha School, children no longer stare at the blackboard; instead, they spend their days with tablets, where AI software tailors courses to each individual's learning progress. The human teachers in these schools have been relegated to "daily coaches," not lecturing, but only managing discipline or providing psychological support when children struggle. Students only need two hours a day to master core subjects like math and reading, leaving the rest of the time for projects in entrepreneurship workshops or sports. Another AI school, Forge Prep, goes even further, encouraging students to build portfolios by starting their own companies and developing products, replacing final grades. They've even launched an AI principal who can answer questions 24/7. However, this avant-garde experiment has also attracted considerable criticism. Parents paying $75,000 (approximately 540,000 RMB) annually to send their children to these schools are essentially using their children as free trial users for immature AI mentors. Faced with the current polarized public opinion, the founder of Alpha School simply avoided the trouble by publicly announcing that its curriculum would not include topics such as feminism, the history of slavery, and immigration. Schools like Forge Prep are even more secretive about their teaching data, making it impossible for outsiders to know whether AI-powered teaching is actually effective.