ai_news_generator

https://github.com/patchy631/ai-engineering-hub/tree/main/ai_news_generator

To stay updated on the latest news about AI and neural networks, here are some effective strategies:

Google Alerts:
- Set up Google Alerts for keywords like “AI news” or “neural networks.” You can choose to receive updates via email or create an RSS feed for your alerts.
RSS Feeds:
- Use RSS readers like Feedly or Inoreader to subscribe to AI-related blogs, news websites, and research publications. Many platforms, including Google Alerts, allow you to convert alerts into RSS feeds.
Tech News Websites:
- Follow websites like TechCrunch and WIRED for regular updates on AI advancements and neural network developments.
Social Media:
- Follow AI researchers, organizations, and tech companies on platforms like Twitter, LinkedIn, and Reddit. They often share cutting-edge research and news.
Academic Journals:
- Keep an eye on journals like IEEE Transactions on Neural Networks and Learning Systems for peer-reviewed research.
AI Conferences:
- Track announcements and updates from conferences like NVIDIA’s GTC or other AI-focused events. NAACL https://2025.naacl.org/blog/best-papers/ ICLR 2025. NeurIPS, ICLR, GECCO, ALIFE, MLSys, JMLR, ICML, IROS

Would you like help setting up Google Alerts or finding specific RSS feeds? 😊

Yann LeCun: The Future Beyond Generative AI#

12 sources

The provided transcripts capture various discussions and lectures primarily focusing on the evolution, capabilities, limitations, and societal implications of artificial intelligence and deep learning. Experts like Geoffrey Hinton, Yann LeCun, and Fei-Fei Li reflect on breakthroughs such as deep neural networks and large language models, including their own significant contributions. They discuss the future trajectory of AI research, highlighting the importance of world models, different learning approaches like joint embedding, and the distinctions between human and artificial intelligence. Concerns surrounding responsible AI development, potential misuse, and the need for open-source platforms are also prominent themes. Additionally, personal anecdotes about the speakers’ journeys and perspectives on the field enrich the content. The conversations explore both the technical advancements and the broader philosophical and ethical questions raised by increasingly sophisticated AI.

Individuals: The Big Book of LLMs