AI is not just changing programming, it's also altering how students learn to code
Forward-looking: For computer science students, generative AI isn't just the future – it's the present. These smart language models are already reshaping how the next generation of programmers learns to code, with teachers giving their approach a whole new spin.
Why it matters: Advanced AI capabilities generally require massive cloud-hosted models with billions or even trillions of parameters. But Microsoft is challenging that with the Phi-3 Mini, a pint-sized AI powerhouse that can run on your phone or laptop while delivering performance rivaling some of the biggest language models out there.
Through the looking glass: Microsoft Research Asia has released a white paper on a generative AI application it is developing. The program is called VASA-1, and it can create very realistic videos from just a single image of a face and a vocal soundtrack. Even more impressive is that the software can generate the video and swap faces in real time.
Why it matters: As chipmakers embark on a widespread transition to locally processed generative AI, certain users are still questioning the need of this technology. NPUs have emerged as a new buzzword as hardware vendors aim to introduce the concept of the "AI PC," yet their arrival prompts speculation about whether the valuable die space they occupy could have been allocated to more beneficial purposes.
Hackers could deploy the worms in plain text emails or hidden in images
In context: Big Tech continues to recklessly shovel billions of dollars into bringing AI assistants to consumers. Microsoft's Copilot, Google's Bard, Amazon's Alexa, and Meta's Chatbot already have generative AI engines. Apple is one of the few that seems to be taking its time upgrading Siri to an LLM and hopes to compete with an LLM that runs locally rather than in the cloud.