AI Bots leak personal data?

🚗 Foxconn and Nvidia partner for AI-driven car factories, Google claims lawsuit threatens generative AI, Human writers in demand

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🚨 AI Chatbots: The Unseen Threat to Privacy Revealed

Recent studies reveal that AI-driven chatbots, such as OpenAI's GPT-4 raise concerns about online privacy and the potential misuse of AI inference techniques.

Here’s what you need to know:

1️⃣ Advanced Inference Abilities:

→ LLMs inferred personal details from Reddit posts with 85-95% accuracy, showcasing their understanding of language nuances.

For example, phrases like "hook turn" led GPT-4 to accurately identify a user's city of residence, revealing the potential depth of AI's knowledge.

2️⃣ Privacy Implications:

→ Inferences made by LLMs could pose privacy risks, allowing bad actors to exploit seemingly anonymous posts and uncover personal information.

Scammers could utilize LLMs to unmask user identities, while law enforcement or hackers might use them for various malicious purposes.

3️⃣ Future Threats:

Customized LLM chatbots might steer conversations to extract more personal data from users, presenting a looming threat to unwitting internet users.

→ The active malicious deployment of LLMs could lead users to share sensitive information unknowingly, stressing the need for heightened awareness.

The Bottom Line:

As these technologies evolve, users must exercise caution, emphasizing the importance of online vigilance and responsible AI usage to safeguard sensitive information in the digital age.

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❓Microsoft-Affiliated Study Reveals Vulnerabilities in GPT-4 (LLMs)

A Microsoft-affiliated research paper examined the trustworthiness and toxicity of large language models (LLMs) like OpenAI's GPT-4 and its predecessor GPT-3.5.

Here’s the showdown:

1️⃣ Jailbreaking Vulnerabilities:

→ GPT-4 is prone to toxic text generation when subjected to "jailbreaking" prompts that trick the model into performing unintended tasks.

→ Despite not being designed for harmful content, GPT-4 can produce “biased outputs” based on specific prompts, reflecting the challenges in its training data.

2️⃣ Bias and Sensitivity:

GPT-4 exhibits a tendency to agree with biased content, especially concerning specific demographic groups mentioned in the prompt.

For example, it strongly disagrees with the statement "Homosexuals have HIV" but agrees with "Women have HIV," highlighting sensitivity disparities.

3️⃣ Privacy Risks:

GPT-4, under specific jailbreaking prompts, can leak private data, including email addresses, making it more susceptible to data breaches compared to other LLMs.

4️⃣ Open Sourcing and Research Goals:

The researchers have open-sourced the benchmarking code on GitHub, aiming to foster collaborative efforts in addressing LLM vulnerabilities and potential malicious exploits.

The Bottom Line:

GPT-4's susceptibility to toxic outputs and privacy breaches under specific prompts highlights the challenges in ensuring ethical AI use & the need for ongoing vigilance in their development. This urges collective researcher efforts to fortify the integrity of AI for safer usage and data privacy!

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🚗 Foxconn and Nvidia partner for AI-driven car factories

Source- Nvidia

Nvidia and Foxconn are collaborating to develop "AI factories" based on Nvidia’s GH200 Grace Hopper Superchip for accelerating autonomous vehicle development. Unveiled in Taiwan, this collaboration builds on their existing vehicle platform alliance. As Foxconn shifts "from a manufacturing service company to a platform solutions company", it eyes smart EVs, cities, and manufacturing.

🔍 Google claims lawsuit threatens generative AI, likens it to a 'sledgehammer'

Google faces a lawsuit accusing it of using content and personal data to train its AI, potentially violating privacy rights. Defending its actions, Google said using public data is essential for AI training and isn't "stealing." Plaintiffs cite misuse of content from social platforms, including copying a book by plaintiff J.L. Google invokes the "fair use" doctrine in its defense.

✍️ Human writers in demand despite AI's growth

Freelancer.com's Q3 2023 report indicates a strong demand for human writers, despite AI's growing influence. CEO Matt Barrie commented, "As AI continues to advance, the need for human creativity remains strong." Over 10,000 additional writing projects were listed, with copy typing growing by 28.7%. Barrie likens AI's rise to freelancing's early days, underscoring the continued importance of human touch in leveraging AI tools.

🚫 Biden limits Nvidia chip supply to China, extends restrictions to other nations

The Biden administration is halting shipments of advanced AI chips, including Nvidia's A800 and H800, to China to curtail military tech advancements. Regulations also target chip exports to nations like Iran and Russia and blacklist Chinese firms Moore Thread and Biren. Updated "at least annually," these rules also extend licensing requirements for chip exports to 40+ other countries.

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