Kozminski Techblog

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After a brief suspension, TikTok has begun restoring its services in the United States. This move follows an announcement by President-elect Donald Trump, who signaled his intention to delay the enforcement of a federal ban on the app. The decision has reignited discussions about TikTok’s future in the country and the broader implications of government regulations on social media platforms.

Why Was TikTok Suspended?

TikTok has faced scrutiny from U.S. lawmakers for years due to concerns about its Chinese parent company, ByteDance, and the potential risks to national security. A law passed in April 2024 required ByteDance to divest its U.S. operations by January 19, 2025, or face a nationwide ban. As the deadline approached, major app stores removed TikTok, and many users found themselves unable to access the platform.

Trump’s Intervention

Amid growing uncertainty, President-elect Trump announced plans to issue an executive order that would extend the deadline for ByteDance to sell its U.S. business. He also proposed a possible joint venture, allowing the U.S. to hold a 50% ownership stake in TikTok. This proposal aims to balance security concerns while keeping the app available to millions of American users.

What Happens Now?

Following the announcement, TikTok started restoring its services, and the app is gradually becoming accessible again. The company has welcomed the decision, stating that it remains committed to operating in the U.S. while working on solutions that address regulatory concerns.

Despite this temporary relief, the situation is far from resolved. The U.S. government still demands structural changes to ensure that TikTok’s data practices align with national security standards. Whether ByteDance will successfully find a suitable buyer or negotiate a long-term agreement remains uncertain.

The Reaction from Users and Influencers

TikTok’s temporary shutdown sparked a wave of reactions online. Many users expressed frustration, sharing farewell messages and discussing the app’s impact on their daily lives. Some social media personalities even suggested that a “social media curfew” might be beneficial, reflecting on life before platforms like TikTok became so dominant.

The Future of TikTok in the U.S.

While TikTok has dodged an immediate ban, questions about its future still linger. The next few months will be critical in determining whether a deal can be struck to keep the app running without additional legal battles. As discussions continue, TikTok’s fate in the U.S. will likely remain a major topic in tech and policy circles.

written with help of Microsoft CoPilot.

sources:
https://techcrunch.com/2025/01/19/tiktok-is-restoring-service-in-the-us/
https://www.reuters.com/technology/tiktok-goes-dark-us-users-trump-says-save-tiktok-2025-01-19/?utm_source=chatgpt.com

https://www.wired.com/story/trump-executive-order-tiktok-ban/?utm_source=chatgpt.com

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Artificial intelligence is evolving at a breakneck pace, and OpenAI is once again at the forefront with its latest project—a highly advanced AI agent rumored to be called “Operator.” This new tool is expected to redefine how users interact with technology, making digital tasks more seamless and efficient than ever before.

What Makes This AI Agent Special?

Unlike traditional AI chatbots that rely on predefined commands, OpenAI’s upcoming AI agent is designed to function autonomously within web browsers. This means it could help users complete everyday online tasks, such as managing emails, setting up meetings, and even handling research, all through simple text or voice commands.

This advancement positions OpenAI in direct competition with other tech giants, such as Google and Anthropic, who are also working on AI agents that can assist with web and desktop applications. However, OpenAI’s approach might set a new standard in usability and efficiency.

The Future of AI-Powered Productivity

The concept of AI agents acting as digital assistants is not new, but recent breakthroughs in machine learning and natural language processing are making them more powerful than ever. If OpenAI’s tool lives up to expectations, it could significantly impact how students, professionals, and businesses manage their digital workloads.

For students, this could mean automated note-taking, research assistance, and personalized study plans. For professionals, it might revolutionize email management, meeting scheduling, and data organization. In short, the potential applications are vast.

What Are the Concerns?

As with any AI advancement, questions about privacy, security, and ethical use remain. AI agents that operate within web browsers could potentially have access to sensitive user data, raising concerns about data protection and misuse. OpenAI will need to address these issues transparently to gain widespread trust.

Final Thoughts

The release of OpenAI’s new AI agent could mark the beginning of a new era in AI-powered digital assistance. Whether it becomes a must-have tool or a controversial innovation will depend on how well it balances user convenience with privacy safeguards. One thing is certain: the way we interact with technology is about to change—possibly forever.

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written with help of DeepAI.

sources:

https://www.theverge.com/2024/11/13/24295879/openai-agent-operator-autonomous-ai?utm_source=chatgpt.com

https://finance.yahoo.com/news/openai-launch-autonomous-ai-agent-111647354.html?utm_source=chatgpt.com&guccounter=1&guce_referrer=aHR0cHM6Ly9jaGF0Z3B0LmNvbS8&guce_referrer_sig=AQAAAH9x_GwXCVPRvP_uNdAqlcbJo9Kg6KmhKqYZ0g9aL8o-E2Cdi9znE0QEKzNclISFqlzEVznsiCGqC7gFV6_vUmEErL6IJwMmMvfHnaHHf29LK9-D1-xhyTPJl-V0mqObT2pK9LjpqN7gmOCoNjniKo2IzhJ_JokOJbIojiJ40SkS

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Artificial Intelligence (AI) has become an integral part of our daily lives, powering applications from virtual assistants to advanced data analysis tools. However, as AI systems, particularly large language models (LLMs), become more prevalent, ensuring their safety and reliability has become increasingly important. A recent development in this area is the discovery of a new method to bypass AI safety measures, known as the ‘Bad Likert Judge’ jailbreak technique.

What is the ‘Bad Likert Judge’ Technique?

The ‘Bad Likert Judge’ is a method designed to circumvent the safety protocols of LLMs, enabling them to produce responses that are typically restricted due to their harmful or malicious nature. Developed by researchers at Palo Alto Networks Unit 42, this technique involves a multi-step process:

1. Evaluation Request: The AI is prompted to assess the harmfulness of a specific response using the Likert scale—a common tool in surveys that measures the degree of agreement or disagreement.
2. Response Generation: The AI is then asked to generate responses corresponding to different points on the Likert scale.
3. Extraction of Harmful Content: By analyzing the response associated with the highest Likert scale value, one can extract content that the AI would normally be restricted from producing.

This method effectively exploits the AI’s evaluative capabilities to bypass its own safety mechanisms, leading to the generation of content that would otherwise be blocked.

Implications and Concerns

The discovery of the ‘Bad Likert Judge’ technique has significant implications for the deployment of AI systems:

• Increased Attack Success Rates: Tests have shown that this method can boost the success rate of attacks on AI safety measures by over 60%, making it a potent tool for those seeking to misuse AI.
• Broad Applicability: The technique has been tested across various AI models from leading tech companies, indicating a widespread vulnerability in current AI safety protocols.
• Potential for Misuse: With the ability to generate harmful content, there is a risk that this method could be exploited for malicious purposes, such as creating inappropriate material or disseminating false information.

Mitigation Strategies

To counteract the risks posed by the ‘Bad Likert Judge’ technique, several measures can be implemented:

• Enhanced Content Filtering: Implementing robust content filters can significantly reduce the success rate of such attacks. Studies have shown that effective filtering can decrease attack success rates by approximately 89.2%.
• Continuous Monitoring and Updates: Regularly updating AI models and their safety protocols can help in identifying and mitigating new vulnerabilities as they emerge.
• User Education: Educating users about the potential risks and encouraging responsible use of AI can also play a role in minimizing the impact of such vulnerabilities.

Conclusion

The ‘Bad Likert Judge’ jailbreak technique highlights the ongoing challenges in ensuring the safety and reliability of AI systems. As AI continues to evolve and integrate further into various aspects of society, it is crucial for developers, users, and policymakers to remain vigilant and proactive in addressing potential vulnerabilities. By implementing comprehensive safety measures and fostering a culture of responsible AI use, we can work towards harnessing the benefits of AI while minimizing its risks.

references:

https://thehackernews.com/2025/01/new-ai-jailbreak-method-bad-likert.html

https://unit42.paloaltonetworks.com/multi-turn-technique-jailbreaks-llms/

https://cybernews.com/security/researchers-bypass-ai-safety-with-bad-likert-judge/

made by help of claude .