The evidence is everywhere: – OpenAI o1: Extended reasoning at inference
– DeepSeek-R1: Self-verification loops
– Gemini 2.0 Thinking: Dynamic compute allocation
– Claude Opus: Multi-path exploration Every frontier lab independently discovered the same breakthrough. This isn't
MACHINE LEARNING
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All frontier AI labs discover identical reasoning breakthrough
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Test-time compute scaling: models think harder during inference
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Test-time compute scaling is simple but revolutionary: Instead of making models bigger, you make them think harder during inference. The model generates multiple reasoning paths, verifies answers, backtracks when wrong, and improves solutions in real-time. It's thinking, not
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OpenAI’s o1 demonstrates smarter models via inference-time compute
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OpenAI's o1 proves you can make models smarter by making them "think longer" at inference not training bigger models. DeepSeek, Google, Anthropic all pivoting to test-time compute. Training wars are over. The inference wars just started. Here's the paradigm shift happening
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OpenSearch Agentic Memory: Building Context-Aware Agents
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OpenSearch as an agentic memory solution: Building context-aware agents using persistent memory https://
buff.ly/OtZ3ZMe
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Building Healthtech Infrastructure with AI and Machine Learning
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It’s Time to Build: Healthtech Infrastructure
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
OpenAI Releases GPT-5.2-Codex Model
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OpenAI released GPT-5.2-Codex model on the Responses API, and it is now available on OpenAI's Platform.
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Computer Vision and Agentic AI Transform Video Analytics
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Computer vision can see what happened — agentic AI explains why it matters and what to do next.
— NVIDIA AI (@NVIDIAAI) 14 janvier 2026
Here’s how teams are upgrading video analytics with vision language models:
🔍 Turn video into searchable intelligence
🧠 Add context and reasoning to system alerts
⚡ Summarize… pic.twitter.com/vWuUwQX6IaComputer vision can see what happened — agentic AI explains why it matters and what to do next. Here’s how teams are upgrading video analytics with vision language models: Turn video into searchable intelligence Add context and reasoning to system alerts Summarize
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Impact of GPU Availability on Future AI Model Development
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It also frees up all their NVIDIA cards to build models. So I would expect OpenAI to start shipping state-of-the-art models again soon because of this.
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AI Challenges and Opportunities in Health Tech Assessment
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AI presents challenges, opportunities for health tech assessments
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
New Document AI Course: OCR to Agentic Document Extraction
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New course: Document AI: From OCR to Agentic Doc Extraction, built with @LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp.
— Andrew Ng (@AndrewYNg) 14 janvier 2026
Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic… pic.twitter.com/dG9SwmFgKqNew course: Document AI: From OCR to Agentic Doc Extraction, built with @LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp. Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic workflows that process documents accurately: breaking them into parts, examining each piece carefully, and extracting information through multiple iterations. Traditional Optical Character Recognition (OCR) captures text but loses context from table headers, chart captions, or reading order of columns. After exploring OCR's limitations, you’ll use LandingAI's Agentic Document Extraction (ADE) framework to process documents. ADE treats pages as visually — as images — to parse information and extract fields. Skills you'll gain: – Build agents to convert unstructured files into structured Markdown/HTML and JSON – Use ADE to parse complex data like forms, handwriting, or equations – Map extracted information to named fields using a specified schema, with bounding boxes for grounding and validation – Deploy RAG applications with event-driven document processing Come learn about the best tools for processing documents like financial invoices, medical records, or academic papers intelligently: deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-01-14 17:42 UTC