They are both available: https://
poe.com/Gemini-2.5-Pro
-Preview
… https://
poe.com/Gemini-2.5-Fla
sh-Preview
…
AGI
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Google releases Gemini 2.5 Pro and Flash Preview
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AI Models Advancing Toward Real-Time Open-World Simulations
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As you know, our focus for the past few years has been images. What you might not know, is that we believe the inevitable destination of this technology are models capable of real-time open-world simulations. What’s that? Basically; imagine an AI system that generates imagery in
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AGI Alpha: The Greatest Economic Opportunity of Our Time
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[ AGI ALPHA: THE GREATEST OPPORTUNITY OF OUR TIME! ] Humanity stands at the edge of a $15 quadrillion shift powered by AGI. Are you ready? "Just as Columbus ventured boldly into uncharted oceans, we now set sail into the infinite possibilities of Artificial General
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OpenAI Podcast: Sam Altman Discusses AGI and GPT-5 Future
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Introducing the OpenAI Podcast—a series of conversations with the people shaping AI. @sama joins @andrewmayne on the first episode to talk about AGI, (wen) GPT-5, privacy, and what comes next.
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LLM limitations, tool usage, and a specific Gemini 2.5 Pro failure
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I think it would be a worse puzzle. A good LLM knows its limitations and uses tools. (Raw LLMs also can’t compute SHA1, which is why I used it.) In another reply in this thread, Gemini 2.5 Pro is seen failing at this task because it thinks the fifth letter of “Madrid” is d.
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ASI Scientific Foundations: Beyond LLMs and Learning Algorithms
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part of an ongoing effort to think about what ASI could actually mean from a scientific perspective. > is superintelligence just some form of LLMs?
> what is the learning algorithm? > what is the data? read more here: -
Superintelligence: Supervised or Reinforcement Learning Path
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# Superintelligence from first principles some have said that superintelligence is "an engineering problem"; that we know how to build it now. but there are only two ways to learn: supervised and reinforcement learning. which one will get us there? i wrote about this:
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Montreal AI Releases Meta-Agentic AGI Alpha Agent
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[ META-AGENTIC α‑AGI ] Out‑learn · Out‑think · Out‑design · Out‑strategise · Out‑execute GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… #AGIFirst #AGIALPHA #MetaAgentic -
Human Reasoning Beyond Token Prediction: Mental Models
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Human reasoning is not based on auto-regressive discrete symbol (token) prediction.
It is based on the manipulation of mental models in continuous representations spaces.
It is based on *searching* for a set of manipulations of this model to arrive at a particular result. -
Symbol Manipulation Limits in AI and Animal Reasoning
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Among all forms of reasoning, the subset for which a manipulation of discrete symbols helps the reasoning is tiny.
For human reasoning, it's basically just math and (to some extent) code.
For animal reasoning, it's an empty set. Communication is a separate issue from reasoning.