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Incribo offers affordable high-quality synthetic data, mimicking real data without compromising privacy.

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软件新闻

Agentic AI:颠覆性自主决策技术如何重塑企业未来?

发布日期:2025-07-17

随着Capgemini调查显示50%企业高管计划在2025年部署Agentic AI,这种具备自主决策能力的AI技术正引发商业革命。本文深度解析Agentic AI的三大核心优势:从动态供应链优化到预见性网络安全,通过亚马逊Bedrock等实际案例揭示技术落地路径,同时警示企业需避免重蹈区块链炒作覆辙,提出'KASS原则'实现价值最大化。

Major AI chatbots parrot CCP propaganda

发布日期:2025-06-26

Leading AI chatbots are reproducing Chinese Communist Party (CCP) propaganda and censorship when questioned on sensitive topics. According to the American Security Project (ASP), the CCP’s extensive censorship and disinformation efforts have contaminated the global AI data market. This infiltration of training data means that AI models – including prominent ones from Google, Microsoft, and […] The post Major AI chatbots parrot CCP propaganda appeared first on AI News.

Meta豪掷148亿美元投资Scale AI:AI数据标注战背后的监管博弈

发布日期:2025-06-16

Meta近期以148亿美元收购Scale AI 49%非投票股权的交易,揭示了科技巨头在AI训练数据领域的暗战。这笔通过「人才并购」(acquihire)规避反垄断审查的交易,已引发谷歌等客户撤离及监管机构高度关注。本文剖析交易背后的数据垄断风险、特朗普政府监管态度变化,以及科技公司如何游走于法律边缘获取AI竞争优势。

科技巨头的人类未来赌局:AI、火星殖民与硅谷的终极野心

发布日期:2025-06-13

当Sam Altman、Elon Musk等科技富豪将目光投向AI超智能、火星殖民和人类永生时,他们的宏大愿景背后隐藏着怎样的风险与伦理困境?本文深度解析硅谷精英的技术救世主义逻辑,并探讨中国工程师突破AI芯片封锁的‘硬盘走私’现象、DeepMind与飓风预测的突破性合作等前沿动态,揭示技术狂想与现实碰撞的火花。

使用指南

What is Incribo?

Incribo is a platform that provides high quality synthetic data at an affordable price. Synthetic data, in this context, refers to artificially generated data that mimics the characteristics of real data while protecting sensitive information.

How to use Incribo?

To use Incribo, you can sign up for an account on the website and access the data generation features. You can specify the format, structure, and size of the synthetic dataset you need. Incribo's advanced algorithms and models will then generate the synthetic data based on your requirements.

Incribo's Core Features

The core features of Incribo include:

1. High quality synthetic data generation

2. Affordable pricing

3. Ability to specify dataset format, structure, and size

4. Protection of sensitive information while maintaining realistic data characteristics

Incribo's Use Cases

#1

Incribo can be used in various scenarios, including:

1. Machine learning and AI training: Synthetic data can be used to augment real datasets for training machine learning models.

2. Software testing: Synthetic data can be used to simulate realistic test scenarios.

3. Data analysis: Synthetic data can be used when real data is insufficient or sensitive.

FAQ from Incribo

What is synthetic data?

How can I use Incribo?

What are the core features of Incribo?

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