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Nvidia launches new AI chip, Sam Altman admits ChatGPT 'kinda sucks'

Nvidia makes big announcements at its conference, Sam Altman says ChatGPT kinda sucks and Youtube will tag AI generated content.

Welcome, AI enthusiasts

Nvidia makes big announcements at its conference, Sam Altman says ChatGPT kinda sucks and Youtube will tag AI generated content.

In today’s newsletter:

  • Nvidia releases the most advanced AI chips

  • Nvidia launches enterprise-grade generative AI microservices that businesses can use to create and deploy custom applications on their own platforms

  • Sam Altman says OpenAI's latest ChatGPT ‘kinda sucks'

  • YouTube now requires creators to disclose when realistic content was made with AI

  • Nvidia and Johnson & Johnson to develop new AI applications for surgery

  • Tech Job Seekers Without AI Skills Face a New Reality: Lower Salaries and Fewer Roles


What: NVIDIA introduces the Blackwell platform, a revolutionary advancement in GPU architecture designed specifically to address the challenges posed by LLMs. Featuring six transformative technologies, including a powerful chip, second-generation transformer engine, fifth-generation NVLink, RAS engine, secure AI, and decompression engine, the Blackwell platform offers unparalleled performance and efficiency for AI workloads.

Key points:

  • Blackwell Architecture: Integrates six innovative technologies to enhance AI training and real-time LLM inference, supporting models scaling up to 10 trillion parameters.

  • GB200 Grace Blackwell Superchip: Connects multiple GPUs and CPUs, delivering 1.4 exaflops of AI performance and 30TB of fast memory, facilitating breakthroughs in AI research and development.

  • Cost and Energy Efficiency: Up to 25x less cost and energy consumption compared to previous architectures, enabling organizations to deploy AI at scale affordably.

Noteworthy: One year into the AI revolution, we have yet to have a competitor for Nvidia’s market dominance. With the new chips, the innovation in AI chips just got wider.


What: Google faces two significant challenges in an AI-driven world: maintaining relevance amid changing technological landscapes and dealing with the proliferation of AI-generated content, which threatens traditional search engine models.

Key points:

  • Adaptation to AI Innovation: Google must invest in AI research and development to catch up with competitors like Microsoft in AI-powered search technologies.

  • Monetization Strategy: It needs to develop new revenue streams and business models to monetize AI-generated content effectively.

  • Partnerships and Collaboration: Google should explore partnerships and collaborations to enhance its AI capabilities and expand its market presence.

Watch the video here or read the summarized transcript here.


  • NVIDIA NIM Microservices: Offer pre-built containers for accelerated deployment of AI models, reducing deployment times significantly.

  • CUDA-X Microservices: Provide end-to-end solutions for data processing, customization, and training, enhancing production AI development across various industries.

  • Ecosystem Collaboration: Leading application and data platform providers, along with infrastructure partners, collaborate with NVIDIA to bring generative AI capabilities to enterprises.

  • Accelerated Deployment: Reduction of deployment times from weeks to minutes, enabling faster time-to-market for AI applications.

OpenAI CEO Sam Altman said GPT-4, his company’s latest and greatest AI model, actually kinda sucks in an interview with Lex Fridman published on Monday. In fact, Altman is hoping GPT-5 can live up to all the hype.

YouTube is now requiring creators to disclose to viewers when realistic content was made with AI, the company announced on Monday. The platform is introducing a new tool in Creator Studio that will require creators to disclose when content that viewers could mistake for a real person, place or event was created with altered or synthetic media, including generative AI.

  • Johnson & Johnson MedTech and Nvidia are developing new artificial intelligence applications for surgery, according to a release Monday.

  • J&J’s MedTech unit supports technology used in more than 75 million procedures each year, the company said.

  • The companies are exploring how AI can help analyze surgical video at scale, as well as how it can automate some of the time-consuming documentation that takes place after a procedure. 

  • The IT job market in the U.S. is projected to shrink by 20,000 to 30,000 jobs in 2024 due to AI-driven automation.

  • Roles in areas like cybersecurity, AI, and data science are on the rise, while traditional IT roles are declining.

  • Companies are prioritizing AI skills, with generative AI expertise commanding high salaries.


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