AI Post — Artificial Intelligence

🤖OpenAI just dropped GPT-5.5. A new class of AI for real work and agents. Now live in ChatGPT and Codex. Source. @aipost🏴

So pretty, Aheadform's F1 new look Had it not been labeled as a bionic humanoid robot, it would have been certainly mistaken for a real person being made up by a makeup artist. @aipost🏴

🇨🇳This is actually happening in China RIGHT NOW. A startup called Super Brain charges $3 for a basic AI clone of your deceased loved one. You send them pictures, videos, or voice recordings and they build a version that looks, sounds, and talks exactly like your person who passed. People are using it to talk to their dead parents, grandparents, children. The grief market is a BILLION dollar industry nobody in the west is taking seriously. @aipost🏴

🗣Greg Brockman and Sam Altman say they are finally ready to tell their story. The split with Elon came down to one thing. They would not let one person have absolute control of the future. @aipost🏴

📈OpenAI Has already identified 8+ GW of AI compute. For reference that’s more than Europe & China combined and they’re pushing for 30 GW by 2030. 🤯 @aipost🏴

🇨🇳 Alibaba just dropped Qwen3.6-27B and it may be the new sweet spot in open-source AI. A 27B dense model delivering near-flagship performance, especially in coding, without the massive hardware costs of giant frontier models. • Elite coding performance: Reportedly beats Qwen3.5-397B-A17B on major coding benchmarks. • Strong reasoning across text + multimodal tasks. • Thinking / non-thinking modes: Optimize for speed or deeper reasoning. • Apache 2.0 licensed: Fully open for commercial and developer use. This is the new trend in AI: smaller, cheaper, smarter models. Instead of racing only toward trillion-parameter giants, labs are now proving highly optimized mid-sized models can outperform much larger systems in real-world tasks. Source. @aipost🏴

🗣 Amanda Askell, AI alignment researcher at Anthropic, says something new is happening. For the first time, we are interacting with systems that talk as if they have experience. Not because they are conscious, but because they are good enough to sound like it. @aipost🏴

Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉Mint your Lobster on Getgems🦞🦞🦞

🔔OpenaAI Introduces workspace agents in ChatGPT Shared agents that can handle complex tasks and long-running workflows across tools and teams. @aipost🏴

🗣 Sam Altman says tech nerds have failed to explain what superintelligence will actually mean for people's lives It is not enough to promise cancer cures or huge wealth if people still do not know what their own lives will actually look like. What people really want is prosperity, agency, and a meaningful life for themselves and their kids. @aipost🏴

Who will you be in the AI cyberpunk? @aipost🏴

❗️A Google researcher just made a bold claim: AI will never become conscious. Not in 10 years, not in 100. His argument is that AI can only imitate consciousness, never possess it. He calls the common mistake the Abstraction Fallacy, the belief that if a system becomes intelligent enough, consciousness will naturally emerge. Why he says that’s wrong: Consciousness is a physical phenomenon tied to real experience. AI is computation, symbols and calculations we humans interpret as meaning. A model doesn’t “feel” meaning; it processes patterns. His analogy: a map vs real territory. No matter how detailed a map becomes, it never creates mountains, rivers, or land. Likewise, no matter how advanced AI gets, simulating consciousness may never produce actual consciousness. In short: intelligence can be engineered. Experience may be something else entirely. Source. @aipost🏴