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.

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.

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Cherishing hopes, moving forward steadily.
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Major scam play exposed! Someone forged CZ to destroy tokens! Don’t be fooled by on-chain records

Major warning ⚠️ A carefully designed scheme has surfaced!
Around 16:15 today, rumors spread that CZ’s publicly donated address appeared with three consecutive token destruction records: 4,444 Niu Lai, 4,444 MarsCoin, and 4,444 Binance Life tokens were sent to a “black hole” address.

Many people initially mistook it as CZ personally taking action to destroy tokens, rushing in to trade and bet on the market. However, after tracing on-chain data, the truth is far more shocking!

The token burn of “Niu Lai” was not done by CZ at all.
The trader is actually the token issuer. The project team deployed a contract with reserved privileges, privately minted one billion tokens, and first transferred 800 million of them to the CZ address. Without obtaining any authorization from CZ, they then used the contract’s privileges to forcibly transfer out 4,444 tokens from that address to complete the destruction.

Just from the records shown by the blockchain explorer, the transaction initiator appears to be CZ—creating the illusion that a big-shot is backing and burning the token(s), in order to harvest market attention.

This kind of despicable marketing scheme is nothing new! Looking back at the market, the CAAB project team had previously moved 80% of its tokens to CZ’s donation address, promoting a false story about CZ holdings to inflate market value and lure retail investors into the game. After the SHORT token side batch-transferred tokens, the short-term surge caused by token burns also became a tool for the project to unload.

Here is a serious reminder to all participants!
Do not determine that CZ is involved in the project, that they actively destroy tokens, or that they endorse the project based on a single on-chain transaction hash alone. As long as the contract reserves administrator privileges, the project team can perform whatever “show” they want.
Meme tokens themselves lack real-world use cases, and the risk of extreme pump-and-dump price swings is very high, filled with all kinds of fabricated narratives. Blindly trading based on trending news can easily turn you into the chips on the market-maker’s cutting board—stay vigilant at all times!

⚠️ This content is for informational purposes only and does not constitute investment advice
#CZ

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U.S. fiscal deficit continues to worsen; borrowing costs are rising ever higher—will the Fed rate cuts be something the market will welcome?#bnb一輩子 🧧

Take what can’t be carried away—what can’t be lost. Let the heavy rain erode it…

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