The demand continues to decline, and the prosperity of the US manufacturing industry is fading.
Producers of durable goods such as automobiles, agricultural machinery, and washing machines all anticipate a challenging business environment for the remaining time this year as consumer demand in the USA slows down, and have begun to lay off employees and reduce production.
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USA pharmaceutical stocks 'switching trading': two weight-loss giants fall, while stagnant giants rise in turn.
The rotation of this stock price is not only due to momentum effects, but also because the USA pharmaceutical industry seems to have responded well to the regulatory pressure brought by the Inflation Reduction Act.
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The higher the expectation, the greater the disappointment! For US stocks companies whose performance is below expectation, the market punishes them even more.
In the current financial reporting season, the market's reaction to the company's performance is stronger than ever before, especially for companies whose performance is below expectations, the stock price has fallen more. At the same time, although some companies' performance exceeded expectations, the stock price did not react significantly due to market anticipation. With the strong rise of technology stocks leading the market spreading to small-cap and cyclical stocks, investors are starting to withdraw capital from large stocks that have performed well and turning their attention to other areas.
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Apple announced that the models supporting Apple Intelligence are trained on Google customized chips.
Apple's paper revealed that a large server language model, the AFM, was trained on 8192 Google TPUv4 chips, with 6.3 trillion tokens trained; the client-side AFM was trained on 2048 TPUv5p chips; both the AFM and AFM service were trained on the "Cloud TPU Cluster".
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Apple Intelligence's first edition is launched! Apple releases iPhone AI, not yet integrated with ChatGPT, only targeting paid developers.
Apple Intelligence features in iOS 18.1 developer beta include Writing Tools, a writing tool that can rewrite, proofread, and summarize; Siri can switch between text and voice and can answer thousands of questions about how to use Apple devices; Mail has an urgent email area and provides a summary of the entire message; you can search for photos using everyday language, and AI can use photos to create videos after entering text; voice can be transcribed into text and summarized; currently not available: Image Playground for image creation, Genmoji for creating personalized emojis, Priority Notifications for notifications, and a more powerful Siri with screen-awareness.
Nvidia sent Blackwell samples this week and released NIM updates to support 3D and siasun robot&automation model creation.
Nvidia's software update this week expanded the inference microservice library of cloud-native microservices NIM to cover physical world environments, advanced visual modeling, and a variety of vertical applications, promoting large-scale deployment of AI models by enterprises. Nvidia's deep learning framework fVDB uses real-world 3D data to build spatial intelligence; the open-source modular framework Isaac Lab provides simulation to accelerate robotic learning; Nvidia customizes NIM for the physical world and uses NIM and VIA microservices to build VLM-driven visual AI agents; Nvidia Omniverse Replicator helps to address the shortage of data for model training.
Nvidia Begins Ushering in Next Wave of AI - Physical AI: SIGGRAPH 2024
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Notable Earnings After Tuesday's Close
Goldman Sachs: Hedge funds “surrender” selling industrial stocks, continue to rotate holdings into energy and materials stocks.
According to Goldman Sachs data, industrial stocks were the most heavily sold industry sector in the US stock market last week, breaking the all-time record for net selling in the past two weeks since July 11th. Energy and materials were the most net-bought industry sectors last week and in the past four weeks, with chemicals, petroleum, natural gas and consumable fuel, and energy equipment and services being the most net-bought sub-sectors last week.
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