The "exposure" was scored by an LLM based on how digital the job is. This has no baring on what actually happens to these occupations, which has to do with demand elasticity and a lot more. People are sensationalizing the visualization tool and putting words in my mouth.
LLMS
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Google adding Google Maps grounding to Gemini API
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Google is working on a new "Grounding with Google Maps" tool for AI Studio. This option will let Gemini APIs easily access "Location results from Google Maps". Maps coding
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Nemotron’s Intentional Limitations in AI Model Design Strategy
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i have a pet theory that Bryan and co cannot make Nemotron TOO good bc otherwise it would scare off customers. it needs to be “good enough to reflect everyone’s baseline consensus on SOTA techniques to lower the bar for neolabs + be maximally useful for synthetic data bc that is
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Kimi K2.5 Model Optimization on NVIDIA Blackwell Hardware
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What does relentless optimization in AI inference look like? Watch the rapid evolution of the Kimi K2.5 model on the @ArtificialAnlys leaderboard. Inference endpoint providers are continually pushing boundaries on NVIDIA Blackwell, leveraging custom optimizations, NVFP4,
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Next Breakthrough Beyond Deep Learning Architecture Innovation
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The next major breakthrough will branch out at a much lower level than deep learning model architecture. It will be a new approach. A better model architecture can lead to incremental data efficiency & generalization gains, but it won't fix the fundamental issues of the… https://t.co/XIju3kWBGv
— François Chollet (@fchollet) 15 mars 2026The next major breakthrough will branch out at a much lower level than deep learning model architecture. It will be a new approach. A better model architecture can lead to incremental data efficiency & generalization gains, but it won't fix the fundamental issues of the
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Running XGBoost natively within an LLM via WASM
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This is unbelievable. @trainxgb is implemented in WASM. This means that this LLM could – in principle – run XGBoost natively inside of it!
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New LangChain Academy Course Building Reliable Production Agents
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💫 New LangChain Academy Course: Building Reliable Agents 💫
— LangChain (@LangChain) 15 mars 2026
Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models.
Add multi-step reasoning, tool… pic.twitter.com/V3XkTrFqW8New LangChain Academy Course: Building Reliable Agents Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool
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Smallest Transformer Adds Two 10-Digit Numbers
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GitHub – anadim/AdderBoard: Smallest transformer that can add two 10-digit numbers https://
bit.ly/4bt5E8L
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Understanding AI Architecture: From Machine Learning to Generative AI
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AI is layered AI
→ Machine Learning
→ Neural Networks
→ Deep Learning
→ Generative AI GenAI is the visible tip.
The real power sits underneath. Master the stack, not just the prompt. #AI #ML #DeepLearning #LLM -
Complete AI Agentic Engineering System Guide for LLM Agents
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The Most Complete AI Agentic Engineering System — Step-by-step guide to build, optimize, and scale LLM agents: http://
amzn.to/3L5p3BS