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- AI now runs its own science labs
AI now runs its own science labs
PLUS: OpenAI hits $500B and Apple pivots to AI glasses
A new startup from ex-OpenAI and DeepMind researchers is building robotic labs where AI can conduct its own real-world experiments. This marks a major step in AI's evolution, moving it from simply analyzing existing data to actively generating new scientific knowledge.
The approach creates a closed-loop system where AI can design, execute, and learn from physical results without human intervention. Could this "infinite science machine" be the key to unlocking breakthroughs in materials science, medicine, and more?
Today in AI:
AI-powered labs to run automated experiments
OpenAI hits $500B valuation, secures chip supply
Apple pivots focus to AI-powered smart glasses
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What's new? Periodic Labs, a startup from ex-OpenAI and DeepMind researchers, has raised $300M to build robotic labs where AI can conduct real-world chemistry and physics experiments.
What matters?
AI models are hitting a wall for scientific progress because they have largely exhausted useful training data from the internet. To make breakthroughs in the physical world, they need new experimental data that simply doesn't exist yet.
This move directly addresses what OpenAI’s Chief Scientist recently called an evaluation deficit, highlighting the need for AI to move beyond benchmarks and tackle actual scientific discovery.
Periodic Labs is creating a closed-loop system where an AI agent designs an experiment, a robotic lab executes it, and the physical result from “nature” provides the feedback signal to improve the AI model.
Why it matters?
This approach fundamentally shifts AI's role from just analyzing existing information to actively generating new scientific knowledge. It creates a powerful engine for discovery that could accelerate breakthroughs in materials science, next-gen chips, and medicine.
AI GUIDE
What's new? OpenAI has reportedly reached a massive $500B valuation following a recent employee stock sale. The company also finalized a major deal with Samsung and SK Hynix to secure a massive supply of memory chips.
What matters?
The new $500B valuation was driven by a $6.6B employee stock sale, placing OpenAI among the world’s most valuable private companies.
The partnership aims to produce up to 900,000 memory chips per month, a figure that would more than double today’s global production capacity.
These chips are critical for OpenAI's ambitious 'Stargate' data center, a project designed to power the next generation of its AI models.
Why it matters?
Securing its own chip supply gives OpenAI more control over its infrastructure, reducing reliance on a competitive market. This massive valuation and supply chain investment signals a clear strategy to scale its operations and cement its leadership in the AI industry.
What's new? Apple is reportedly pausing development on a cheaper Vision Pro, pivoting its focus to create AI-powered smart glasses aimed at a mainstream audience.
What matters?
This move signals a major strategic shift from a high-end, niche mixed-reality device to a more accessible wearable AI product.
The new smart glasses are positioned to directly compete with Meta’s growing line of wearable AI offerings.
Slated for a release between 2027 and 2028, the glasses will feature AI and voice controls and may pair with iPhones or have built-in displays.
Why it matters?
This pivot suggests Apple believes the immediate future of consumer AI lies in lightweight, everyday wearables, not expensive, immersive headsets. By prioritizing AI-driven glasses, Apple is betting on a future where ambient computing becomes a central part of the user experience.
Everything else in AI
Meta announced it will begin using data from user conversations with its AI features to target ads across Facebook and Instagram starting December 16.
Anthropic integrated its Claude AI directly into Slack, enabling it to summarize discussions, draft messages, and analyze documents within user workspaces.
Salesforce launched Agentforce Vibes, a new enterprise tool that allows developers to build applications using natural language descriptions, leveraging a company's existing code. Collapse
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