The tech industry is at a crossroads as AI researchers and experts weigh in on the future of artificial intelligence. A recent survey of nearly 500 AI researchers found that 76% believe scaling up current AI approaches will not lead to achieving artificial general intelligence (AGI). This rebuffs the tech industry's long-preferred method of achieving AI gains by furnishing generative models with more hardware. Instead, researchers are exploring cheaper and more efficient approaches, such as 'thinking' with AI models, which achieved a performance boost without scaling. Meanwhile, Nvidia is working to make DeepSeek's AI 30 times faster with its Dynamo software, which splits AI inference across 1,000 GPUs. This move is seen as a response to investor concerns that DeepSeek cuts the processing needed. However, Nvidia CEO Jensen Huang believes that the next stage of AI needs a lot more computing power, citing the shift to agentic and reasoning AI models. This shift requires 100 times more computation than traditional large language models. Despite this, Huang predicts that demand for Nvidia GPUs will remain robust in the future. Other companies, such as Foxconn, are also making progress in AI, unveiling humanoid robotics and digital twins accelerating AI factories of the future. However, the AI industry is not without its challenges, with investors becoming increasingly cautious due to macroeconomic concerns. Despite this, experts believe that mastering AI tools is essential for securing high-paying jobs, and several free AI courses are available to enhance career growth.
Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End
A recent survey of nearly 500 AI researchers found that 76% believe scaling up current AI approaches will not lead to achieving artificial general intelligence (AGI). This rebuffs the tech industry's long-preferred method of achieving AI gains by furnishing generative models with more hardware.
Nvidia Plans to Make DeepSeek's AI 30 Times Faster - CEO Huang Explains How
Nvidia is working to make DeepSeek's AI 30 times faster with its Dynamo software, which splits AI inference across 1,000 GPUs. This move is seen as a response to investor concerns that DeepSeek cuts the processing needed.
Nvidia CEO: Why the Next Stage of AI Needs A Lot More Computing Power
Nvidia CEO Jensen Huang believes that the next stage of AI needs a lot more computing power, citing the shift to agentic and reasoning AI models. This shift requires 100 times more computation than traditional large language models.
Hon Hai Technology Group (Foxconn) Unpacks Artificial Intelligence Progress At NVIDIA GTC
Foxconn is making progress in AI, unveiling humanoid robotics and digital twins accelerating AI factories of the future.
AI Stock Surges On Upbeat Sales Views; Is AI Stock A Buy Now?
C3.ai (AI) stock has surged on upbeat sales views, but investors are cautious due to macroeconomic concerns.
E.China’s Zhejiang launches AI training for officials across the province
East China's Zhejiang Province has launched a four-month AI training initiative for local government officials, featuring 10 expert-led lectures.
Lenovo Hybrid AI Advantage with NVIDIA Boosts Business Productivity and Efficiency with New Scalable Agentic AI Solutions
Lenovo is working with NVIDIA to boost business productivity and efficiency with new scalable agentic AI solutions.
Forbes Compiles List Of 13 Free AI Courses To Boost Your Career And Land A High-Paying Job
Forbes has compiled a list of 13 free AI courses to enhance career growth and secure high-paying jobs.
Neural Concept Demonstrates Engineering AI Platform Integrated with NVIDIA Omniverse Blueprint at NVIDIA GTC, Accelerating Product Development
Neural Concept has demonstrated an engineering AI platform integrated with NVIDIA Omniverse Blueprint at NVIDIA GTC, accelerating product development.
Cramer explains why investors are no longer paying up for AI stocks
CNBC's Jim Cramer believes that investors are no longer paying up for AI stocks due to macroeconomic concerns and multiple compression.
Key Takeaways
- The tech industry is at a crossroads as AI researchers and experts weigh in on the future of artificial intelligence.
- Nvidia is working to make DeepSeek's AI 30 times faster with its Dynamo software.
- Nvidia CEO Jensen Huang believes that the next stage of AI needs a lot more computing power.
- Foxconn is making progress in AI, unveiling humanoid robotics and digital twins accelerating AI factories of the future.
- Investors are cautious due to macroeconomic concerns and multiple compression.
- Mastering AI tools is essential for securing high-paying jobs, and several free AI courses are available to enhance career growth.
Sources
- Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End
- Nvidia plans to make DeepSeek's AI 30 times faster - CEO Huang explains how
- Nvidia CEO: Why the Next Stage of AI Needs A Lot More Computing Power
- Hon Hai Technology Group (Foxconn) Unpacks Artificial Intelligence Progress At NVIDIA GTC
- AI Stock Surges On Upbeat Sales Views; Is AI Stock A Buy Now?
- E.China’s Zhejiang launches AI training for officials across the province
- Lenovo Hybrid AI Advantage with NVIDIA Boosts Business Productivity and Efficiency with New Scalable Agentic AI Solutions
- Forbes Compiles List Of 13 Free AI Courses To Boost Your Career And Land A High-Paying Job
- Neural Concept Demonstrates Engineering AI Platform Integrated with NVIDIA Omniverse Blueprint at NVIDIA GTC, Accelerating Product Development
- Cramer explains why investors are no longer paying up for AI stocks