🤖 ChatGPT will do deep research for you

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Greetings! Your latest quick tech update is here:

☀️ On this day: On February 3, 1966, the Soviet probe Luna 9 became the first spacecraft to achieve a soft landing on the Moon. It transmitted the first images from the lunar surface, marking a major milestone in space exploration.

What’s happening:

• 🔍 OpenAI unveils Deep Research for ChatGPT

• ⚖️ EU AI Act: First rules now legally binding

• 💰 Google offers cash for workers to quit

• 📚 Nvidia CEO: Get an AI tutor now

• 🔬 AI designs chips beyond human understanding

• + 📊 Daily poll and results

• + 📈 Trending tools and resources

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Hand-picked news:

🔍 OpenAI unveils Deep Research for ChatGPT ↗️LINK

• What: OpenAI introduced "deep research," an advanced ChatGPT feature that autonomously gathers and analyzes data for complex queries. It executes multi-step research, backtracks when needed, and provides citations in a sidebar. Users can submit text, images, and files, with responses taking 5–30 minutes.

• Why: Designed for complex queries, Deep Research bridges the gap between instant AI responses and in-depth analysis. The feature mimics a research analyst’s work, competing with Google’s Project Mariner. It significantly outperforms previous models, scoring 26.6% on Humanity’s Last Exam

• Impact: Initially limited to Pro users ($200/month for 100 queries), it may expand to Plus and Team plans soon. This shift signals AI’s growing role in deep, autonomous research.

⚖️ EU AI Act: First rules now legally binding ↗️LINK

• What: As of Feb. 2, 2025, the first requirements of the EU AI Act are legally binding. Companies using AI in the EU must ensure AI literacy among employees and avoid banned uses like social scoring, behavior manipulation, and unauthorized biometric tracking.

• Why: The Act aims to prevent AI misuse while enabling innovation. Non-compliance risks fines of up to 7% of global annual turnover. A final Code of Practice is expected by August 2025.

• Impact: Businesses must adapt quickly to new AI compliance rules. Major tech firms like Google and Microsoft have already pledged early adoption, signaling a shift in global AI governance.

💰 Google offers cash for workers to quit ↗️LINK

• What: Google is offering U.S. employees in its Platforms and Devices division a voluntary severance package to leave the company. The move follows pressure from the Alphabet Workers Union, which had urged Google to offer buyouts before layoffs.

• Why: Google frames the offer as a way to retain only "deeply committed" employees. However, with ongoing cost-cutting and past layoffs, it raises concerns about future workforce reductions.

• Impact: While the union sees this as progress, it continues to push for buyout policies across all divisions. Google’s history of large-scale layoffs suggests more job cuts could be on the horizon.

 🔬 AI designs chips beyond human understanding ↗️LINK

• What: Princeton researchers used AI to design advanced computer chips that human engineers struggle to fully understand. The AI-driven process, using convolutional neural networks (CNNs), produces unconventional and highly efficient designs.

• Why: Traditional chip design relies on human templates and expertise, limiting innovation. AI can rapidly explore new design paradigms, enhancing productivity while allowing engineers to refine and adapt results.

• Impact: While promising, AI-generated chips may be difficult to repair or modify. This research, shared openly, sparks debate on balancing AI efficiency with human comprehension in critical tech infrastructure.

📚 Nvidia CEO: Get an AI tutor now ↗️LINK

• What: Nvidia CEO Jensen Huang urges everyone to start using AI tutors, saying they can provide personalized learning across multiple subjects. He believes AI will enhance human capabilities rather than replace workers.

• Why: AI-driven education lowers barriers to knowledge, enabling people to learn more efficiently. Huang sees AI as a tool for empowerment, not a job killer, likening it to having a personal superpower.

• Impact: As AI tutors like ChatGPT and Grok become mainstream, workers may need to embrace AI-driven learning to stay competitive. However, concerns about job displacement remain, especially among younger generations.

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Today’s Poll:

Vote and find out about the result tomorrow.

Yesterday’s Poll Result:

Should AI be involved in nuclear weapons security?

• A) Yes – It can help prevent threats and improve safety - 40%

• B) No – AI in nuclear security is too risky - 60% 🏆

Reader’s opinion:

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