AI News Roundup – December 5, 2025
MIT researchers “speak objects into existence” using AI and robotics
MIT created a ‘speech-to-reality’ system that uses generative AI to design objects and a robotic arm to build custom physical furniture from verbal commands
Different strokes: Huawei’s founder makes subtle dig at lofty pursuits in AI by the US
Huawei’s founder argues that China’s AI focus should be on practical, industrial automation (ports, mines) rather than the US’s pursuit of AGI and superintelligence
Google partners with Replit, in vibe-coding push
Google partnered with Replit to power its coding tools with Gemini models, aiming to gain market share in the growing ‘vibe-coding’ sector
Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI
Anthropic’s study found that professionals feel AI boosts productivity, but creatives worry about losing identity and data shows automation is replacing tasks
Frontier agents, Trainium chips, and Amazon Nova: key announcements from AWS re:Invent 2025
Amazon announced the Nova 2 model, powerful new Trainium3 chips, and “frontier agents” like Kiro, emphasizing infrastructure and autonomous virtual employees
Trump Is Taking Three Steps Backward in the AI Race
This op-ed argues that the Trump administration is undermining US progress by cutting federal research funding and gutting scientific data needed for AI innovation
OpenAI declares ‘code red’ as Google catches up in AI race
OpenAI has reportedly declared a ‘code red,’ halting non-essential projects to focus on improving ChatGPT’s speed and reliability as competitors like Google catch up fast
‘The era of data-labeling companies is over,’ says the CEO of a $2.2 billion AI training firm
The CEO of Turing states that simple data labeling is over and that advanced AI training now requires highly skilled human experts, creating a demand for expert roles
DeepSeek just dropped two insanely powerful AI models that rival GPT-5 and they’re totally free
DeepSeek released two powerful, free, open-source models that rival GPT-5 and Gemini 3, demonstrating that frontier-level AI can be built efficiently
The Next Frontier in AI Isn’t Just More Data
The next big leap in AI requires ‘reinforcement learning environments’—simulated digital worlds where AI agents can learn from experimentation and failure

