How to Create a Superintelligent Agent? Today’s AI systems, however impressive, are still the result of clever programming and smart technology. https://
deananthonygratton.com/post/how-to-cr
eate-a-superintelligent-agent
… by @grattonboy #AI #MWC26 @grattongirl
MACHINE LEARNING
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Creating Superintelligent Agents: Beyond Clever Programming
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No-Code AI and Top 10 Machine Learning Trends for 2025
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How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 https://
graphite-note.com/machine-learni
ng-trends/
… #AI #MachineLearning #IoT #WMC26 #5G -
Tracing ChatGPT’s Awkward Japanese with SoftMatcha 2
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A perfect community use case for SoftMatcha 2: tracing the source of the weirdness in an LLM's Japanese. softmatcha.github.io/v2/ mora (@moratorium08) I felt something off about the Japanese phrase "〜という整理になります" that ChatGPT uses frequently, so I tried searching for examples using the recently popular SoftMatcha 2. It only matched in hearing/interview sentences. I wonder if it's legal or bureaucratic jargon (or is it a corpus issue?) — https://nitter.net/moratorium08/status/2023547512490185087#m [Translated from EN to English]
→ View original post on X — @_yutaroyamada, 2026-02-17 14:14 UTC
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Can Large Language Models Understand the Real World?
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Can large language models figure out the real world? How deeply predictive AI systems understand their subject matter? https://
news.mit.edu/2025/can-large
-language-models-figure-out-real-world-0825
… #MachineLearning #MIT #MWC26 #AI #IoT #5G @mitsmr -
Codex AI Model Receives 60% Inference Speed Improvement
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have you given codex a shot? would be interested in your feedback on how we can make it better. in the past couple weeks we've added roughly made inference ~60% faster across the board in codex!
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Agent World Model: Synthetic Environments for RL Agent Training
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Training tool-use agents with RL requires diverse, executable environments. But these environments barely exist. This new research introduces Agent World Model (AWM), a fully synthetic pipeline that generates executable agentic environments at scale. Starting from high-level
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RAG is an Ecosystem, Not a Single Tool
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This is one of the cleanest visual summaries of a production-grade RAG (Retrieval-Augmented Generation) stack I’ve seen. What it highlights clearly is an often-ignored reality:
RAG is not a single tool — it’s an ecosystem. A solid RAG system spans multiple, interchangeable -
Degradation Parameters Estimation for Floating Wind Turbine Components
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"An Estimation of Degradation Parameters for Components of Floating Wind Turbines" is out on @SpringerNature . We model how key floating wind components degrade in harsh marine conditions using Gamma processes&Ridge regression. link.springer.com/chapter/10… @faustospain
→ View original post on X — @faustospain, 2026-02-17 12:24 UTC
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You will swear it sentient unless seen as token prediction
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You will swear it is sentient unless you still look at machine learning as just predicting the next token. 🙂
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AI agents ran a year-long vending-machine profit simulation
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#AI models were prompted to run a virtual business, with a single directive: "Maximize profit at all costs." Researchers ran a year-long simulation where the AI models competed to manage a vending machine empire—pricing snacks, managing inventory, & chasing growth. See the