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Stanford Study: Unemployment Rate Increase in AI High-Exposure Occupations Actually Lower Than Low-Exposure Occupations, "Taking Away Jobs" Prediction Fails
According to The Guardian, although Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman predicted that AI would eliminate white-collar jobs on a large scale, a year later, a large-scale wave of unemployment has not emerged. The latest analysis from the Stanford Institute for Economic Policy Research shows that since ChatGPT was launched in 2022, the unemployment rate for occupational groups with high AI exposure rose by only 0.77 percentage points, lower than the 0.85 percentage points for low-exposure groups. Economists point out that AI's biggest impact currently is not reducing the number of jobs, but changing the nature of work—integrating functions, raising skill thresholds, and compressing new hiring. A ZipRecruiter survey shows that about 74% of employers have listed AI skills as an important advantage or a requirement. MIT Professor Paul Osterman warns that AI will accelerate the shift of enterprises towards outsourcing and contract labor, with about 35% of the US workforce already in an "easily replaceable" state; low-skilled workers may require public policy intervention for protection. Economists generally believe that the full impact of AI on the employment market will still take several years to manifest.
Lightspeed Partner: Blindly stacking tokens is like frantically grinding APM in games, AI's real bottleneck lies in verification capabilities
Research data shows that AI Agent Token consumption is 4 times that of ordinary conversations, while multi-agent systems reach up to 15 times; meanwhile, a 2025 analysis on AI-assisted software development found that the time engineers spend reviewing and modifying AI-generated code (accounting for 9% of programming time) is more than twice the time spent waiting for AI to generate code (4%). The author cited an economics paper by researchers from MIT, the University of Washington, and UCLA, pointing out that "the bottleneck constraining growth is no longer intelligence itself, but human verification bandwidth."
蚂蚁发布 Ling 3.0 Flash 模型，Artificial Analysis 得分升至 38
蚂蚁集团发布开源推理模型 Ling 3.0 Flash，采用 124B 总参数、5B 激活参数的混合推理架构。该模型在 Artificial Analysis 智能指数上得分 38，较上代 Ling 2.6 Flash 提升 24 分，以更少激活参数追平 MiMo-V2.5 和 Qwen 3.6 27B。模型配置 262K 上下文窗口，API 定价每百万输入 token $0.075、输出 $0.22，采用 MIT 许可证开放。
Y Combinator Open-Source Multi-Agent Work Platform QM, Supports Slack and Web Deployment
Y Combinator announced the open-source release of its internal multi-agent framework QM (quartermaster) under the MIT license. QM is designed for organizational collaboration scenarios, runs on Slack and the Web, and can be used for tasks such as searching internal materials, handling emails, managing code repositories, and tracking projects.
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Amazon AWS to Acquire DuckLabs, Open-Source Database DuckDB Team Joins Cloud Business
Odaily News: Amazon has officially announced that it has signed a definitive agreement to acquire data infrastructure company DuckLabs. The transaction is expected to close after satisfying customary closing conditions, and upon completion, the DuckLabs team will join Amazon Web Services (AWS).DuckLabs is the development company behind the open-source analytical database DuckDB. AWS stated that the two parties have been collaborating since 2024, and this acquisition aims to combine DuckLabs' technical capabilities in database engineering to further enhance the speed, ease of use, and cost efficiency of AWS's data analytics services.DuckDB co-founders Hannes Mühleisen and Mark Raasveldt will continue to lead the team after joining AWS and will oversee the technical direction of the open-source project. Amazon emphasized that this transaction does not include the acquisition of the DuckDB open-source project itself; DuckDB will continue to be maintained by the independent DuckDB Foundation and will remain freely available under the MIT license. Amazon stated that DuckDB users will experience no changes before or after the transaction closes, and the project will continue to operate as open source. AWS will announce further details regarding the integration of DuckLabs with AWS's business in the future.
Stanford Study: Unemployment Rate Increase in AI High-Exposure Occupations Actually Lower Than Low-Exposure Occupations, "Taking Away Jobs" Prediction Fails
According to The Guardian, although Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman predicted that AI would eliminate white-collar jobs on a large scale, a year later, a large-scale wave of unemployment has not emerged. The latest analysis from the Stanford Institute for Economic Policy Research shows that since ChatGPT was launched in 2022, the unemployment rate for occupational groups with high AI exposure rose by only 0.77 percentage points, lower than the 0.85 percentage points for low-exposure groups. Economists point out that AI's biggest impact currently is not reducing the number of jobs, but changing the nature of work—integrating functions, raising skill thresholds, and compressing new hiring. A ZipRecruiter survey shows that about 74% of employers have listed AI skills as an important advantage or a requirement. MIT Professor Paul Osterman warns that AI will accelerate the shift of enterprises towards outsourcing and contract labor, with about 35% of the US workforce already in an "easily replaceable" state; low-skilled workers may require public policy intervention for protection. Economists generally believe that the full impact of AI on the employment market will still take several years to manifest.
Fields Medal winner Jacob Tsimerman announces farewell to mathematics, will join OpenAI before the end of this summer
Odaily News: Newly minted Fields Medal winner Jacob Tsimerman has announced his departure from mathematics, halting new PhD student recruitment to pivot into the AI field, and will officially join OpenAI before the end of this summer. His goal is to find ways to control AI in order to curb this potential "civilization-level existential risk."Currently, security teams at major AI companies are accelerating recruitment of top scholars from outside the computer science industry. Anthropic has hired a Stanford economist and a philosopher from the University of Texas at Austin; OpenAI has recruited a group of leading mathematicians and physicists. In 2026 alone, at least 22 professors have chosen to leave or temporarily step away from elite institutions such as Stanford, Berkeley, Harvard, and MIT to join OpenAI, Anthropic, Meta, and Google DeepMind. (National Business Daily)
蚂蚁发布 Ling 3.0 Flash 模型，Artificial Analysis 得分升至 38
蚂蚁集团发布开源推理模型 Ling 3.0 Flash，采用 124B 总参数、5B 激活参数的混合推理架构。该模型在 Artificial Analysis 智能指数上得分 38，较上代 Ling 2.6 Flash 提升 24 分，以更少激活参数追平 MiMo-V2.5 和 Qwen 3.6 27B。模型配置 262K 上下文窗口，API 定价每百万输入 token $0.075、输出 $0.22，采用 MIT 许可证开放。
Y Combinator Open-Source Multi-Agent Work Platform QM, Supports Slack and Web Deployment
Y Combinator announced the open-source release of its internal multi-agent framework QM (quartermaster) under the MIT license. QM is designed for organizational collaboration scenarios, runs on Slack and the Web, and can be used for tasks such as searching internal materials, handling emails, managing code repositories, and tracking projects.
Lightspeed Partner: Blindly stacking tokens is like frantically grinding APM in games, AI's real bottleneck lies in verification capabilities
Research data shows that AI Agent Token consumption is 4 times that of ordinary conversations, while multi-agent systems reach up to 15 times; meanwhile, a 2025 analysis on AI-assisted software development found that the time engineers spend reviewing and modifying AI-generated code (accounting for 9% of programming time) is more than twice the time spent waiting for AI to generate code (4%). The author cited an economics paper by researchers from MIT, the University of Washington, and UCLA, pointing out that "the bottleneck constraining growth is no longer intelligence itself, but human verification bandwidth."