GenAI and Its Implications for Data Scientists

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In today Newsletter,

1. GenAI and it’s implications for Data scientist

2. GenAI sample RESUME template

3. Generative AI Online Certification Courses

4. AI & Tech News

GenAI and it’s implications for Data Scientist

A study by Anthropic analyzing millions of Claude ai chats reveals that GenAI is primarily used for software development and technical writing, making up nearly 50% of tasks.

While some occupations integrate GenAI significantly, no job is fully automated, as the technology is mostly used for augmentation (57%) rather than automation (43%).

The study also finds that GenAI is most prevalent in mid-to-high-wage jobs, like data science, while lower and higher-paid roles use it less.

Despite its impact, GenAI is not replacing jobs but evolving them, requiring professionals to adapt by focusing on critical thinking, strategic decision-making, and human collaboration.

Since GenAI primarily enhances productivity rather than replacing human expertise, skills like problem-solving, judgment, and emotional intelligence will remain essential for those integrating AI into their workflows.

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GenAI Editable Resume Template

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Best Certification Courses To Learn Generative AI

💥 Top 3 Courses
1. Machine Learning (Andrew Ng): A foundational course covering core machine learning concepts, essential for understanding how generative models learn.

2. Generative Adversarial Networks (GANs) Specialization: A comprehensive deep dive into GANs, covering various architectures, training techniques, and applications.

3. Mathematics for Machine Learning Specialization: Provides the necessary mathematical background (linear algebra, calculus, probability) for understanding the underlying principles of generative AI.

AI & Tech

#1. Google’s New Humanoid Robots Are Incredible (Source)

#2. Study Finds AI Search Tools Struggle with News Accuracy

A Columbia Journalism Review study found that AI-powered search tools misidentified over 60% of news sources, raising concerns about their reliability. Researchers tested eight AI-driven models, revealing high error rates, with Grok 3 performing worst at 94% incorrect answers, followed by ChatGPT Search (67%) and Perplexity (37%).

The study showed AI models often fabricated information instead of admitting uncertainty. Paid versions performed worse, as premium models prioritized generating answers over accuracy. Issues included fake URLs, incorrect citations, and AI tools ignoring publisher restrictions to access paywalled content.

#3. China's Manus AI: A Step Towards Artificial General Intelligence

Chinese startup Butterfly Effect has introduced Manus, an AI agent capable of making decisions autonomously without step-by-step human instructions. Unlike chatbots, Manus uses multiple AI models to handle complex tasks dynamically, suggesting a glimpse of Artificial General Intelligence (AGI).

Currently, Manus is invite-only, but early users have tested its ability to design websites, create video games, and analyze data. While it provides detailed responses, it also runs slower and experiences occasional failures compared to ChatGPT. Developers acknowledge its high failure rates and feedback loops as part of its early development challenges.

#4. OpenAI and Google Seek Copyright Exemption for AI Training

OpenAI and Google have urged the U.S. government to grant AI companies an exemption allowing them to train models on copyrighted material without legal repercussions. This request was made as part of their response to President Trump’s AI Action Plan, which aims to enhance America’s AI leadership.

OpenAI argues that copyright laws should evolve to protect both content creators and America’s AI dominance, particularly against China. The company also supports strict export controls on AI chips and advocates for government-wide adoption of AI tools, including its ChatGPT version for U.S. government use.

#5. OLMo 2: The Most Open and Transparent Language Model Yet (Source)

OLMo 2 is a fully open-source language model developed with transparent training data, reproducible methodologies, and open evaluations. Unlike many AI models, OLMo 2 offers complete accessibility, including intermediate checkpoints and instruction-tuned variants.

The latest release, OLMo 2 32B, is the first fully open model to outperform GPT-3.5 and GPT-4o mini, achieving superior results with significantly lower training compute requirements.

What Makes OLMo 2 Unique?

• Open Training Data – Download and explore the entire dataset, including pre-training, mid-training, and post-training stages.

• Reproducible Training Code – Access and modify the high-performance training framework used internally for model development.

• Transparent Evaluation – Review open-source evaluation methods to verify the model’s capabilities and performance.

#6. Google is replacing Google Assistant with Gemini (Source)

Google is replacing Google Assistant with Gemini AI on most mobile devices by late 2025, with automatic upgrades rolling out in the coming months. Assistant will be removed from app stores and become inaccessible on newer devices, except for those running Android 9 or earlier with less than 2GB RAM. Gemini AI will also expand to tablets, cars, watches, headphones, smart displays, speakers, and TVs.

Gemini offers AI-powered improvements while keeping key Assistant features like weather updates, calendar management, and messaging. Google promises ongoing enhancements for a better user experience, while Apple struggles with delays in its AI-powered Siri reboot.

Thanks for your time and consideration!

Shailesh