🔥 Google’s quantum processor could perform 1,000 times better with Princeton’s new qubit

Princeton researchers built a superconducting qubit with much longer coherence than today’s standard designs, on the order of milliseconds instead of microseconds.

The improvement comes from using tantalum on high purity silicon, which dramatically reduces energy loss. Longer coherence means fewer errors and far more useful computation.

In principle, dropping this qubit into existing quantum processors could yield ~1,000x effective performance gains, with benefits compounding as systems scale. This is a materials and fabrication breakthrough, not a software trick, and it directly targets one of the biggest bottlenecks in scalable quantum computing.

Source.

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OpenAI is now aiming to raise as much as $100 billion at a $830 billion valuation (up from the previously reported $750 billion valuation).

OpenAI's valuation jumped to $500 billion in October 2025 (up from $300 billion earlier this year).

Wild.

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San Francisco power outage halts Waymo self-driving cars

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Your blue-collar job isn't secure either. Take a close look at how delicately kyber labs' robots perform manual labor. That's nuts.

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The AI boom is accelerating:

US tech companies are committing to spend a combined $569 billion on data center leases over the next several years.

A lease is a long-term rental agreement, meaning these companies commit to multi-year payments for data centers, offices, or warehouses, without owning them upfront. This represents a +$197 billion, or a +53% increase from Q2 2025. Oracle, $ORCL, alone added +$148 billion in new lease commitments in Q3, bringing its total data center lease obligations to $248 billion. Some of these leases can last up to 19 years, locking Oracle into massive fixed costs regardless of future AI demand.

Tech companies are making massive bets on AI.

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📈 OpenAI’s Compute margins surge again

OpenAI’s compute margin on paying users reportedly hit ~70% in October (up from ~52% at end-2024 and ~35% in Jan 2024), driven by cheaper rented compute, inference efficiency tweaks, and a higher-priced subnoscription tier.

- OpenAI’s compute margin for paying users jumped to 70% in October

- Company had declared a ‘Code Red’ to focus on server costs after release of new model from DeepSeek

- For total computing costs, Anthropic is expected to be more efficient

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🇨🇳 China is deploying Robots everywhere.

Here Unitree's humanoid robots + quadruped robot dogs patrol and perform duty in a team.

Robots handle patrols, officers focus on judgment and de-escalation.

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📈 US is the absolute king of total available AI compute at 74.4%.

China at 14.1% and
the European Union is at 4.8%

So US has 5.3x the capacity of China, and 15.5x of EU.

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Elon Musk on X.

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Your Year with ChatGPT!

OpenAI is rolling out You Year on ChatGPT to everyone in the US, UK, Canada, New Zealand, and Australia who have reference saved memory and reference chat history turned on.

Just make sure your app is updated.

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🔥Paralyzed Patient in China Controls Robots Using a Brain Implant

For the first time, a person with a severe spinal cord injury has achieved stable, real-world control of multiple assistive robots using an implanted brain–computer interface (BCI). The breakthrough was reported in China and involves a patient who has been completely paralyzed from the neck down for three years.

Using the implanted BCI, the patient can remotely control different robotic systems in everyday situations. These include ordering food online and sending a robot dog to meet the delivery courier, performing paid digital work, and moving around the neighborhood via robotic assistance.

Unlike earlier laboratory demonstrations, the system works reliably in daily life rather than controlled experimental settings. The achievement highlights a major step forward for brain–computer interfaces, suggesting that BCIs may soon enable people with severe paralysis to regain practical independence and participate more fully in work and social activities.

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A humanoid robot performing tactical rolls and recovery moves

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Physical intelligence: Fully autonomous, not teleoperated.

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Robots in China are now riding the subway by themselves to deliver goods!

This is the first time in the world that robots use public transport for delivery. By traveling during off-peak hours, they help cut down carbon emissions from road traffic!

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It’s happening.

There has been TONS of small businesses using AI video models to make viral ads.

Like this pistachio cafe in Miami, which is getting millions of views on these fake news broadcasts.

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⚡️ The Pentagon has partnered with xAI to expand its GenAI .mil platform across the Department of Defense

The agreement formalizes deployment of xAI’s frontier models for military and civilian personnel. Grok models will be embedded directly into daily operational workflows.

Users will gain access to real time global insights sourced from the 𝕏 platform. Initial rollout is targeted for early 2026. The system is certified at Impact Level 5, allowing secure handling of Controlled Unclassified Information.

AI tools will support decision making, intelligence analysis, and military planning. The platform is designed for rapid deployment and scalability across roughly 3 million personnel. Social and open source data will be treated as a live intelligence signal. The initiative aims to improve speed, security, and decision superiority across defense operations.

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Would you want a humanoid robot to walk your dogs?

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Demis Hassabis on X:

"Yann is just plain incorrect here, he’s confusing general intelligence with universal intelligence. Brains are the most exquis​ite and complex phenomena we know of in the universe (so far), and they are in fact extremely general.

Obviously one can’t circumvent the no free lunch theorem so in a practical and finite system there always has to be some degree of specialisation around the ​target distribution that is being learnt. But the point about generality is that in theory, in the Turing Machine sense​, the architecture of ​s​uch a general system is capable of learning anything computable given enough time and memory​ (and data), and the human brain (and AI foundation models) are approximate Turing Machines.

Finally, with ​regards to ​Yann's comments about chess players, it’s amazing that humans could have invented chess ​in the first place (and all the other ​a​spects ​o​f modern civilization ​from science to 747s!) let alone get as brilliant at it as someone like Magnus. He may not be ​strictly optimal (after all he has finite memory and limited time to make a decision) but it’s incredible what he and we can do with our brains given they were evolved for hunter gathering.”

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