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Perplexity launched AI colleagues Teammates, with an internal number reaching 20 times the number of employees

AI search company Perplexity officially launched Teammates, allowing AI Agents to be responsible for specific tasks long-term like employees. CEO Aravind Srinivas revealed that approximately 10,000 AI Teammates have been created internally in the last 30 days, which is 20 times the total number of human employees.Teammates are built on Perplexity Computer. After users assign roles, goals, and permissions to the AI, it can continuously track work progress, proactively identify issues, and call upon tools to address them. Multiple Teammates can also divide tasks among themselves and contact human colleagues via Slack. For example, a sales Agent can discover that a customer has not placed an order for a long time, automatically investigate the reasons, and prepare a follow-up plan; a development Agent can hand off the task of writing a fix code to another Agent after discovering a website bug. Each Agent has an independent working environment, retaining project memory and task history, allowing users to check progress, adjust direction, or take over operations at any time.Business Insider exposed Perplexity's internal Teammate tool in July this year, which was primarily used for software engineering tasks such as bug tracking and system monitoring. The product has now expanded to marketing, sales, customer service, and operations, adding long-term task management and cross-Agent collaboration. Teammates are currently available in research preview form to Max subscription users at $200 per month, initially supporting the web version, with native mobile and desktop versions to be launched later.

first_img Jensen Huang: The likelihood of a memory supply surplus before 2029 is low

According to the Science and Technology Innovation Board Daily, Nvidia CEO Jensen Huang stated during a media interview at the GTC conference in Berlin on Thursday that the likelihood of a memory supply surplus by 2029 is low. He mentioned that one great aspect of memory is that there is always more that can be used, and he noted that HBM will continue to be applied in the coming years.Jensen Huang also stated that Nvidia is the first company in the world to introduce LPDDR memory, used in mobile phones, into data centers, which doubles its energy efficiency compared to any current global solution, thus it will continue to use this type of memory extensively. He mentioned last Thursday that customer demand for AI chip orders continues to exceed the company's supply capacity, with new orders pouring in almost weekly, if not daily.In the past week, storage chip stocks faced sell-offs due to market concerns over supply surplus and weak demand. A well-known media outlet in South Korea published a column last week, citing two experts who predicted that by 2029, there will be a significant increase in semiconductor supply, and the storage chip market may turn into a red ocean. On Thursday, the Nasdaq Composite Index closed down 2.6%, at 26008.86 points; SanDisk fell 8.51%, SK Hynix fell 8.07%, Seagate Technology fell 7.86%, Western Digital fell 6.43%, and Micron Technology fell 6.23%.

JPMorgan Chase: The technology sector still has a surplus of 400 billion dollars this year

J.P. Morgan's latest report states that publicly listed technology companies worldwide are expected to generate approximately $2.2 trillion in operating cash flow this year, with capital expenditures and R&D expenditures totaling about $1.8 trillion. After deductions, there remains a surplus of about $400 billion, sufficient to support current AI infrastructure investments without relying on external financing.In response to market concerns regarding the sustainability of financing models for new cloud vendors, J.P. Morgan believes that their scale is still relatively limited compared to the entire technology sector. Even if financing comes under pressure, it is unlikely to shake the overall AI investment cycle. The report estimates that new cloud vendors will have operating cash flow of about $30 billion this year, with capital expenditures and R&D expenditures around $80 billion. If there is a funding gap, more financially robust hyperscale cloud service providers can still take on the related demand.J.P. Morgan also pointed out that part of the current financing demand in the technology sector stems from large-scale stock buybacks. Companies can release funds by reducing buybacks to maintain AI investments. The overall stock position in the market has retreated from the mid-September peak, and trend-following investors' long positions in semiconductors have also been largely digested. The bank believes that the short-term downward space in the market is gradually narrowing.
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