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Hope everyone is well. I’m reporting from NeurIPS Mexico City, where hundreds of researchers and professors are gathering to share their research and latest work on AI. Computer Vision has been the main topic of the conference, highlighting the importance that this tech has on AV, robotics, and medicine. I will share more. Also, we share how AI is impacting Jobs worldwide, which is ~5x higher than we think. Let’s dive in and stay curious.

• Computer Vision is the Main Topic at NeurIPS 2025

• 🧰 AI Tools - Event Planning

• The Real AI Impact on jobs is 5× Bigger Than We Think

• 🛠️ AI Jobs Corner

• 📚 AI Learning Resource - AI Conferences

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📰 AI News and Trends

• Can US AI models compete with Chinese Models? DeepSeek’s V3.2 matches GPT-5, and its higher-compute V3.2-Speciale variant rivals Gemini-3.0-Pro and earned gold medals at IMO, IOI, and ICPC 2025. This is why OpenAI has issued a “code red” warning to its employees. “Improve ChatGPT or you will be fired”

• OpenAI Takes Stake in Thrive Holdings, a Buyer of Services Firms

• ByteDance’s Doubao app is China’s most popular mobile AI platform. With ~11.4 million downloads in October, Doubao’s focus is on frictionless AI-powered voice, image, and video.

• A former Microsoft AI VP is replacing John Giannandrea as Apple’s head of AI.

• How a professor is benefiting from AI use in the classroom

Other Tech News

• India demands Apple preinstall government security app onto iPhones

• Neuralink’s first patient could receive an upgrade allowing the patient to do more than play video games, attend neuroscience classes, and work, which are the current capabilities.

• Samsung has revealed its first tri-folding phone ahead of Apple

• Shopify Breaks Down on Busy Cyber Monday

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Computer Vision is the Main Topic at NeurIPS 2025

This past Sunday, November 30th, I had the pleasure of facilitating my second LXAI workshop at NeurIPS 2025 in CDMX. NeurIPS, Neural Information Processing Systems (formerly NIPS), is a machine learning and computational neuroscience conference held every December. Along with ICLR and ICML, it is one of the primary conferences of high impact in machine learning and artificial intelligence research. The conference usually takes place in one centralized location, but this year, due to the US immigration situation, it was split between San Diego and Mexico City. The highlight of this year's conference, I feel it was Computer Vision.

Most of the talks focused on newer technologies to train models utilizing images, videos, and 3D environments to improve output and to also find ways to save on energy and computer power usage, and streamline these training processes. As every December, thousands of researchers, professors, and students, as well as entrepreneurs from all corners of the world, meet at NeurIPS to share their work, network, and start new ventures and research.

Nvidia was not left behind, obviously, unveiling 70+ papers and a powerful set of open-source tools across digital and physical AI. Highlights include

• Alpamayo-R1, the first open reasoning VLA model for autonomous driving.

• New Cosmos tools like LidarGen and ProtoMotions3 for robotics and simulation.

• And expanded Nemotron models for speech, safety, and synthetic data already adopted by partners like CrowdStrike, Palantir, and ServiceNow.

NVIDIA also earned top marks for openness from the new Artificial Analysis Openness Index. NeurIPS matters because it’s where breakthroughs launch, where top researchers stress-test ideas, and where the direction of AI is set for the year. On the ground this year, one trend dominates: computer vision everywhere, powering everything from AVs to robotics to multimodal reasoning.

Both NeurIPS conference locations are strong right now until the end of the week. Being here allows my team and me to dive into the future of AI, talk to researchers who are driving this technology, and network to remain on top of it. I will continue to share more with you.

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🛠️ AI Jobs Corner

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The Real AI Impact on jobs is 5× Bigger Than We Think

Project Iceberg, a recent study by MIT, introduces the Iceberg Index, a new KPI that measures how much of each job’s wage value comes from skills AI can already perform, instead of waiting for layoffs or unemployment data.

Using 151M workers, 923 occupations, 3,000 counties, 32k skills and 13k+ AI tools, the team simulates the U.S. labor market on the Frontier supercomputer and finds that the visible AI disruption in tech is just the tip of a much larger iceberg: current AI adoption in computing and tech jobs accounts for only 2.2% of total wage value (~$211B), while technical capability across admin, finance and professional services reaches 11.7% (~$1.2T), about 5× larger and spread across every state, not just coastal hubs. Traditional metrics like GDP, income, and unemployment explain under 5% of this variation, meaning policymakers and businesses relying only on standard stats are missing where AI exposure really is. The Index doesn’t predict job losses; it maps where human and AI skills overlap, so leaders can simulate scenarios, spot “automation surprise” regions (e.g., Rust Belt states with big hidden white-collar exposure), and target training, infrastructure, and reskilling before disruption shows up in the data.

Stats to keep in mind:

• Scale: AI is already technically capable of ~16% of classified labor tasks.

• Exposure gap: Tech-sector disruption = 2.2% wage value vs. hidden cognitive/admin exposure = 11.7% (~$1.2T).

• Coverage: Model includes 151M workers, 32k skills, 13k+ AI tools across 3,000 counties.

• Validation: Skill embeddings predict 85% of real career transitions; state exposure aligns 69% with Anthropic’s AI usage index.

• Policy use: Iceberg Index acts like a risk map for AI exposure, letting governments and firms test workforce strategies in simulation instead of reacting after the fact.

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AI Learning Corner

Largest AI Conferences

• AI & Big Data Expo: A series of events globally, focusing on AI, machine learning, and big data in a business context.

• AAAI Conference on Artificial Intelligence: A primary academic and research conference for artificial intelligence.

• World Summit AI: A large event focused on the business applications of AI and strategy.

• Ai4: A large conference in North America focused on the practical application of AI across various industries.

• AWS re:Invent: Amazon Web Services’ large annual event with a significant focus on AI and cloud computing.

• NVIDIA GTC: The GPU Technology Conference, a key event for those interested in GPU-accelerated computing and AI.

• International Conference on Machine Learning (ICML): A premier academic conference for machine learning research.

• ICLR: The premier gathering of professionals dedicated to the advancement of representation learning aka deep learning.

🧰 AI Tools of The Day

Event Planning

• Bizzabo — AI-powered event intelligence platform that helps manage large and corporate-scale events. It tracks attendee engagement in real time, generates analytics, and helps prove event ROI.

• Grip — Designed for conferences, trade shows, and hybrid events. It offers AI-driven matchmaking & networking, personalized schedules, exhibitor directories, badge scanning, and more — helping manage exhibitor/attendee interactions and logistics at scale.

• Zkipster — Good for guest-list management, check-ins, seating, and RSVP tracking. For large events, Zkipster’s automation & guest-flow tools make check-in smoother and seating/guest-management much more efficient.