橙子Joyce
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橙子Joyce
价值投资者:以十年为单位投资美股及BTC.ETH.BNB.SOL.推特X:@Joyce88ai
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AI companies reach out for help: OpenAI records computer actions, while Google uses uploaded content to train AI.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
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@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
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No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
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No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
大仁Jaron
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On August 18, MaxForAI disclosed that an AI project called J-Space Cognition Suite, which has gone viral on the X platform today, is facing criticism from the community. The claim is that the DeepSeek V4 test results promoted by the project cannot be reproduced. The project previously stated that with V4 Flash combined with J-Space, it could match GLM-5.3, and that V4 Pro could surpass Fable 5 on multiple Agent Benchmarks while improving speed by 2.53x and token efficiency by 2.21x.
GitHub user GoForceX used the 87-question subset from Terminal Bench 2.1 to perform high-concurrency re-tests and confirmed that the J-Space related modules were loaded. The results showed that after adding J-Space, the benchmark scores actually dropped slightly, while token usage and cost both increased—opposite to the performance, speed, and token-efficiency improvement directions claimed by the project.
The community subsequently requested that the project release the complete evaluation configuration, per-question results, run logs, original runtimes, and data such as token consumption. So far, the project has mainly published aggregated results and has not provided complete raw experimental records sufficient to verify the precise data mentioned above. Notably, in response to the criticisms, the project’s authors previously said that the relevant data were “indeed exaggerated,” adding that the real improvements are roughly in the range of 1.6x to 3x. As of now, the author has not issued an official response to the community’s concerns, and some related Issues have been deleted.
🧧🧧🧧Reply 221 gets $SOL 🧧🧧🧧
🎁🎁🎁👇👇👇🎁🎁🎁
GitHub user GoForceX used the 87-question subset from Terminal Bench 2.1 to perform high-concurrency re-tests and confirmed that the J-Space related modules were loaded. The results showed that after adding J-Space, the benchmark scores actually dropped slightly, while token usage and cost both increased—opposite to the performance, speed, and token-efficiency improvement directions claimed by the project.
The community subsequently requested that the project release the complete evaluation configuration, per-question results, run logs, original runtimes, and data such as token consumption. So far, the project has mainly published aggregated results and has not provided complete raw experimental records sufficient to verify the precise data mentioned above. Notably, in response to the criticisms, the project’s authors previously said that the relevant data were “indeed exaggerated,” adding that the real improvements are roughly in the range of 1.6x to 3x. As of now, the author has not issued an official response to the community’s concerns, and some related Issues have been deleted.
🧧🧧🧧Reply 221 gets $SOL 🧧🧧🧧
🎁🎁🎁👇👇👇🎁🎁🎁
从0开始1688
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Meta’s "life-or-death trial" begins today: Attorneys general from 29 states team up to hold it accountable—if it loses, it may face a "sky-high" fine of $1.4 trillion
The lawsuit alleges that Facebook and Instagram were deliberately designed as "addictive products," harming tens of millions of underage users. Meta estimates its maximum fine exposure could be as high as $1.4 trillion, nearing its current market value. Zuckerberg will personally testify in court, and the ruling could reshape the business model of the entire social media industry.
Meta’s highest-risk legal battle to date officially began on Tuesday. The lawsuit, filed jointly by the attorneys general of 29 U.S. states, could not only force the social media giant to pay a record-breaking economic price, but also fundamentally change how its platforms operate.
Meta’s highest-risk legal battle to date officially began on Tuesday. The lawsuit, filed jointly by the attorneys general of 29 U.S. states, could not only force the social media giant to pay a record-breaking economic price, but also fundamentally change how its platforms operate.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
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AI companies reach out for help: OpenAI records computer actions, while Google uses uploaded content to train AI.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
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No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
--
AI companies reach out for help: OpenAI records computer actions, while Google uses uploaded content to train AI.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
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No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
@橙子Joyce 🧧🧧🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
--
No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
@橙子Joyce 🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
--
No matter whether open-source AI wins or closed-source AI wins, cybersecurity will be the ultimate winner! Palo Alto and CrowdStrike seize the windfall of the AI inference era!
The Wall Street financial giant Wells Fargo Bank recently released a research report stating that cybersecurity supergiant $CrowdStrike (CRWD.US)$ and $Palo Alto Networks (PANW.US)$ are seeing momentum in growth of orders for cybersecurity software products driven by the rapid expansion of the AI inference market. After AI moves into the stage of large-scale, massive inference and AI intelligent agent-style workflows (Agentic AI), cybersecurity demand is not simply likely to accelerate growth by “updating and iterating alongside cutting-edge AI technologies.” Instead, it may see a structural incremental expansion far beyond traditional IT spending.
@橙子Joyce 🧧🧧🧧🧧🧧🧧💰💸
橙子Joyce
·
--
AI companies reach out for help: OpenAI records computer actions, while Google uses uploaded content to train AI.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
Axios begins investigating what user data AI companies are actually collecting.
The findings show that chat logs aren’t enough anymore. Now they also want to know what you click on your computer, what photos you upload, and what content you’ve viewed—then use that data for memory, personalization, and advertising.
OpenAI has added Computer History. Once Mac users manually enable it, ChatGPT and Codex can record your clicks, inputs, and switches within specific apps and websites, gradually building a long-term work memory about you. The feature is turned off by default; it doesn’t record your screen or audio. OpenAI says temporary action logs won’t be used to train its models.
Google is even more aggressive. A new Search Services History will save images, documents, and audio/video that users upload through services like Lens, Search Live, and Translate—and it can also be used to train generative AI. For accounts that meet the criteria, it’s enabled by default; if you want to opt out, you have to do it yourself. Even some data that is later unlinked from an account may be retained for up to 4 years after entering the training process.
Advertising has kept up too. Meta will use users’ interactions with Meta AI to adjust the content and ads on Facebook and Instagram; OpenAI and Google are also exploring ad models for chatbots. The better AI understands you, the more detailed the “portrait” the ad system has in its hands.
What used to be a concern was that chat logs would be used for training. Now, even how you work on your computer—and what you throw into Google—has started to become data in the hands of AI companies.
大仁Jaron
·
--
On August 18, MaxForAI disclosed that an AI project called J-Space Cognition Suite, which has gone viral on the X platform today, is facing criticism from the community. The claim is that the DeepSeek V4 test results promoted by the project cannot be reproduced. The project previously stated that with V4 Flash combined with J-Space, it could match GLM-5.3, and that V4 Pro could surpass Fable 5 on multiple Agent Benchmarks while improving speed by 2.53x and token efficiency by 2.21x.
GitHub user GoForceX used the 87-question subset from Terminal Bench 2.1 to perform high-concurrency re-tests and confirmed that the J-Space related modules were loaded. The results showed that after adding J-Space, the benchmark scores actually dropped slightly, while token usage and cost both increased—opposite to the performance, speed, and token-efficiency improvement directions claimed by the project.
The community subsequently requested that the project release the complete evaluation configuration, per-question results, run logs, original runtimes, and data such as token consumption. So far, the project has mainly published aggregated results and has not provided complete raw experimental records sufficient to verify the precise data mentioned above. Notably, in response to the criticisms, the project’s authors previously said that the relevant data were “indeed exaggerated,” adding that the real improvements are roughly in the range of 1.6x to 3x. As of now, the author has not issued an official response to the community’s concerns, and some related Issues have been deleted.
🧧🧧🧧Reply 221 gets $SOL 🧧🧧🧧
🎁🎁🎁👇👇👇🎁🎁🎁
GitHub user GoForceX used the 87-question subset from Terminal Bench 2.1 to perform high-concurrency re-tests and confirmed that the J-Space related modules were loaded. The results showed that after adding J-Space, the benchmark scores actually dropped slightly, while token usage and cost both increased—opposite to the performance, speed, and token-efficiency improvement directions claimed by the project.
The community subsequently requested that the project release the complete evaluation configuration, per-question results, run logs, original runtimes, and data such as token consumption. So far, the project has mainly published aggregated results and has not provided complete raw experimental records sufficient to verify the precise data mentioned above. Notably, in response to the criticisms, the project’s authors previously said that the relevant data were “indeed exaggerated,” adding that the real improvements are roughly in the range of 1.6x to 3x. As of now, the author has not issued an official response to the community’s concerns, and some related Issues have been deleted.
🧧🧧🧧Reply 221 gets $SOL 🧧🧧🧧
🎁🎁🎁👇👇👇🎁🎁🎁
只会呐喊的尖刀手
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May everything go smoothly, not only today.
Your account stays on the rise, 🔥🔥🔥
May your body stay healthy and your emotions stay at peace.
May every step you take be on an easy path, and may every encounter be kind.
One day goes well, and every day goes well.
Your account stays on the rise, 🔥🔥🔥
May your body stay healthy and your emotions stay at peace.
May every step you take be on an easy path, and may every encounter be kind.
One day goes well, and every day goes well.
Lucky雨
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Back view is a side sketch left for the world
A silhouette is a profile left to the world
A silhouette is a profile left to the world
路人1688-luren
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When you feel like nothing matters, you can go out and take a walk. After all, different environments hold different people and different things. Experience different life scripts—after all, we’re just here to experience… why take it so seriously?
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