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In today’s AI news, Elon Musk’s AI company, xAI, has officially launched its latest flagship AI model, Grok 3. Released late on February 17, 2025, Grok 3 introduces significant advancements over its predecessor, Grok 2, and aims to compete with leading AI models such as OpenAI’s GPT-4o and Google’s Gemini.

In other advancements, Replit has transformed non-technical employees at Zillow into software developers. The real estate giant now routes over 100,000 home shoppers to agents using applications built by team members who had never written code before. This breakthrough stems from Replit’s new partnership with Anthropic and Google Cloud, which has enabled over 100,000 applications on Google Cloud Run.

Then, Wu Yonghui, a prestigious “Google Fellow” who worked at the US tech giant for 17 years, recently joined TikTok owner ByteDance to lead foundational research on artificial intelligence (AI), as the firm seeks to “explore the upper limit of intelligence”. Wu now works at ByteDance’s Seed department, which the Beijing-based company started in early 2023.

Meanwhile, large companies are not adopting AI as quickly as start-ups, AWS managing director Tanuja Randery says. The gap is leading to a “two-tier” AI economy as startups outpace corporations. Citing a new report from AWS, Randery said that European startups had integrated AI at pace over the last year while larger enterprises in the region were falling behind.

In videos, join Sara Bacha from Converge Technology Solutions as she delves into how GraphRAG outperforms traditional RAG by leveraging knowledge graphs and LLM to enhance data relationships and accuracy. Learn the benefits in development, production, and governance, making maintenance easier with better explainability and traceability.

Then, join 20VC host Harry Stebbings while he speaks with Jonathan Ross is the Founder & CEO of Groq, the creator of the world’s first Language Processing Unit (LPUTM). Prior to Groq, Jonathan began what became Google’s Tensor Processing Unit (TPU) as a 20% project where he designed and implemented the core elements of the first-generation TPU chip.

And, Can AI chatbots be trusted? Join IBM’s Jeff Crume as he delves into the complexities of AI errors, from innocent mistakes to deliberate lies. Discover how AI chatbots handle truth, generate hallucinations, and the essential principles behind AI transparency, fairness, and privacy.

Artificial Intelligence and the Internal Processes of Creativity What’s the difference between artificial and human creativity?

W/ Prof. Jaan Aru of University of Tartu.

Speakers: Jaan Aru, Cecile Tamura

Elon Musk’s AI startup xAI has introduced Grok 3, the latest version of its chatbot model, which Musk describes as the most advanced AI system yet.

XAI claims Grok 3 outperforms rival AI models from Alphabet’s Google Gemini, DeepSeek’s V3, Anthropic’s Claude, and OpenAI’s GPT-4o in benchmarks for math, science, and coding.

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data, the addressing of ethical concerns, and the recognition of the limitations of AI-based approaches. In this article, the benefits, challenges, and drawbacks of AI in this field are reviewed, and possible strategies and approaches for overcoming the present obstacles are proposed. The use of data augmentation, explainable AI, and the integration of AI with traditional experimental methods, as well as the potential advantages of AI in pharmaceutical research, are also discussed. Overall, this review highlights the potential of AI in drug discovery and provides insights into the challenges and opportunities for realizing its potential in this field.

Summary: A new study reveals how AI-driven deep learning models can decode the genetic regulatory switches that define brain cell types across species. By analyzing human, mouse, and chicken brains, researchers found that some brain cell types remain highly conserved over 320 million years, while others have evolved uniquely.

This regulatory code not only sheds light on brain evolution but also provides new tools for studying gene regulation in health and disease. The findings highlight how AI can identify preserved and divergent genetic instructions controlling brain function across species.

The study also has implications for understanding neurological disorders by linking genetic variants to cognitive traits. Researchers are now expanding their models to study the brains of various animals and human disease states like Parkinson’s.

Dream, a company focused on artificial intelligence (AI)-powered cybersecurity for nations and critical infrastructure, raised $100 million in a Series B funding round to expand into additional markets in which cyber threats pose challenges to national security.

The round valued Dream at $1.1 billion, the company said in a Monday (Feb. 17) press release.

Cyberattacks on critical infrastructure are becoming more common and more sophisticated, Sebastian Kurz, co-founder and president of Dream, and former prime minister of Austria, said in the release.

Science and Technology: 💻 A recent study conducted by researchers at Fudan University in China suggests that artificial intelligence (AI) systems may have taken a worrying step: self-replication without human assistance.

S Llama31-70B-Instruct and Alibaba “Successful self-replication without human assistance is the essential step for AI to outperform[humans], and is an early signal for rogue AIs,” the authors wrote in the paper. They added that understanding the risks associated with next-generation artificial intelligence, or “frontier AI,” is key to anticipating undesirable scenarios. The scientists investigated two specific scenarios: “shutdown avoidance” and “replication chain.” In the first case, an AI model was instructed to detect signs that it was about to shut down and then create a copy of itself before that happened. In the second scenario, the AI was told to replicate itself and then program the replica to do the same, starting a possible infinite cycle of copying.

To conduct these tests, the team created a “scaffolding agent,” or a set of system tools and instructions that allow the AI to interact with the operating system. They said there was no direct human interference in the process. At various times, when obstacles such as software conflicts or missing files arose, AIs found ways to work around them, including terminating conflicting processes and restarting the system.


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