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- š¤The "ChatGPT" for manual labor
š¤The "ChatGPT" for manual labor
How folding laundry is unlocking the next AI revolution.

Hello There!
A new startup is teaching robots to fold laundry to build a universal AI brain, hinting that the ultimate luxury of the future is never having to struggle with a fitted sheet again. NVIDIA followed up by pumping $2 billion into CoreWeaveās cloud infrastructure, proving that the only thing smarter than selling the chips is owning the data centers they live in. California is tempering the hype by requiring lawyers to verify all AI-generated work, effectively ruling that "my chatbot made it up" is no longer an admissible defense in court.
Here's what's making headlines in the world of AI and innovation today.
In todayās AI Pulse
š¤ Robots ā Learn Laundry To Build Brains
šø NVIDIA ā Pumps Billions Into CoreWeave Cloud
š§āāļø California ā Lawyers Must Verify AI Work
ā” Quick Hits ā IN AI TODAY
š ļø Tool to Sharpen Your Skills āš AIGPEĀ® Certified AI-Powered Business Case Specialist
The coming years wonāt just transform technology; theyāll reshape your home, your family life, and the control you have online.
š§ The Pulse
Startāup Physical Intelligence is training generalāpurpose āfoundation modelsā for robots by having dozens of cheap robotic arms fold laundry, sort fabrics, and chop vegetables. Coāfounder SergeyāÆLevine calls it the āChatGPT for robotics,ā aiming to build a single model adaptable to different hardware and tasks.
šThe Download
Data farmāÆā In a Redwood City warehouse, rows of $3āÆ500 robotic arms perform choresāfolding pants, turning shirts, peeling zucchinisāunder remote supervision. Each task is captured to train a model that can generalize across environments.
Foundation approachāÆā Physical Intelligence believes pooling diverse data will produce a model that allows robots to handle new tasks without retraining. The goal is akin to large language models but for physical manipulation.
Hardware diversityāÆā The company uses lowācost arms to collect data across varied settings, aiming to build a model that can adapt to different robots, sensors, and objects.
Investors & futureāÆā The startāup is attracting VC interest as industries anticipate robots that can work outside factories. Success could spawn a wave of ārobot brainsā powering service bots in homes, restaurants, and labs.
š”What This Means for You
Robotics professionals should follow advances in foundation models. Such models could dramatically reduce training time and enable robots to tackle varied tasks. Investing early in data collection and crossāplatform frameworks may yield a competitive advantage when generalāpurpose robots hit the market.
š§ The Pulse
NVIDIA invested $2āÆbillion in CoreWeave at $87.20āÆper share to boost the AI cloud providerās dataācenter capacity. The funds will not buy Nvidia chips but will accelerate research, hiring, and infrastructure, helping CoreWeave build more than 5āÆgigawatts of AI capacity by 2030.
šThe Download
Strategic capitalāÆā Nvidia doubled its stake in CoreWeave with a $2āÆbillion investment. The cash will fund the expansion of AIāspecialized data centers rather than the purchase of Nvidia GPUs, underscoring the chipmakerās broader bet on cloud infrastructure.
Aggressive buildāoutāÆā CoreWeave plans to create over 5āÆGW of AI dataācenter capacity by 2030. The investment will help accelerate construction projects, research and development, and hiring, making CoreWeave a key alternative for companies unable to access traditional hyperscalers.
Ecosystem playāÆā Nvidiaās backing signals confidence in diversified AI compute providers. CoreWeave sells GPUārich cloud services to startups and enterprises competing with Amazon, Microsoft, and Google for generative AI workloads.
Longāterm outlookāÆā Analysts view the deal as a sign that AI demand will continue surging. NVIDIA stands to benefit as both supplier and investor, capturing profits from hardware sales and the expanding cloud market.
š”What This Means for You
Demand for AI compute is skyrocketing. Professionals should monitor new cloud providers like CoreWeave for alternative access to GPUs. Diversifying infrastructure vendors can mitigate shortages and pricing volatility as traditional hyperscalers face supply constraints.
š§āāļø California Lawyers Must Verify AIāGenerated Work
š§ The Pulse
The California Senate passed a bill mandating that lawyers verify the accuracy of any AIāgenerated legal materials they use and prohibiting arbitrators from relying on AI outside the official record. The legislation also requires safeguarding confidential data and bans AIādriven discrimination, marking one of the first AI rules in legal practice.
šThe Download
Verification requiredāÆā Attorneys must ensure AIāgenerated legal documents are accurate and updated. Failure to verify could result in sanctions or malpractice claims, pushing lawyers to doubleācheck citations and facts.
Limited delegationāÆā Arbitrators are barred from delegating legal decisionāmaking to AI or using AI information not part of the case record. This provision aims to preserve human oversight and prevent opaque AI reasoning.
Confidentiality & biasāÆā Lawyers must protect confidential and nonpublic data when using AI and prevent discriminatory outcomes. The bill clarifies that AI cannot be used to discriminate based on protected characteristics.
Nationwide implicationsāÆā Legal experts say Californiaās bill could become a model for other states, prompting bar associations and firms nationwide to create AIāuse policies and training.
š”What This Means for You
If you practice law or work with legal teams, prepare to verify AI outputs rigorously. Adopt strict dataāhandling policies and ensure AI tools donāt embed discriminatory biases. This law may soon influence wider regulatory frameworks and set ethical norms for AI in professional services.
IN AI TODAY - QUICK HITS
ā”Quick Hits (60āSecond News Sprint)
Short, sharp updates to keep your finger on the AI pulse.
Argentinaās Postal Hub Gets 240 Sorting Robots: Libiao Robotics installed 240 autonomous robots at Correo Argentinoās Monte Grande parcel hub near Buenos Aires. The facility processes up to 9,000 parcels per hourāthree times its previous capacityāshowing how modular robot sorters can modernize postal infrastructure.
QCraftās 500+ TOPS Driving Platform: Chinese autonomousādriving firm QCraft unveiled QPilotāÆ2.0, an intelligent driving platform delivering more than 500āÆtera operations per second (TOPS). The company says its Urban Navigation on Autopilot system is now installed in over one million vehicles and aims to bring autonomous driving into everyday life.
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Thatās it for todayās AI Pulse!Weād love your feedback, what did you think of todayās issue? Your thoughts help us shape better, sharper updates every week. |
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