Generated with @grok imagine Prompt: An anime style person walking in the streets of New York, wide angle, ultra realistic, with snowy weather.

Open models are catching up fast 🚀 GLM-4.7 (Thinking) is near parity with top closed models on coding & reasoning—and it’s free + commercial-friendly.

🤖💻 Meet Claude Cowork! AI automation ⚡ made easy for non-devs ✨ Friendly desktop ✅ The Claude code for non devs are here #AI #Claude #Automation #Anthropic

What “inference” means Inference = using a trained model to generate the next token (word or piece of a word) given some input. Training is done already. Inference is the live thinking step.

🚀 Get more from AI coding agents! Check out Cursor’s Best Practices for Coding with Agents — tips on planning first, managing context, extending workflows, and collaborating smarter with agent-driven development. 💡👨‍💻 https://t.co/7XBRmPVch2 @cursor_ai great article

What does it really mean to have a mind? #AI #LLMs #Consciousness #PhilosophyOfMind

Maybe LLMs aren’t conscious today. But they’re forcing us to confront a deeper question:

But here’s the tension: If something behaves indistinguishably from a thinking mind, does mechanism matter more than experience?

LLMs have none of that. They don’t feel pain, joy, or fear. They model those concepts.

Philosophers say the key is qualia — the “what it feels like” part. Neuroscience says consciousness needs brains, bodies, drives.

Another view: at scale, new behaviors emerge. If a system reflects, adapts, and responds like a mind… what’s missing?

One view: it’s all pattern-matching. No feelings. No inner life. Just statistics shaped into language.

LLMs can sound self-aware. They explain themselves. They even seem emotional. But are they experiencing anything—or just generating convincing text?

Do LLMs have consciousness—or just convincing behavior?

Transformer Inference : Explained #Transfomers #inference #AI #LLMs

The Shift to Inference-Time Scaling Era 🚀 DeepSeek’s R1 sparked it all — now inference-time scaling + "thinking" modes dominate hard tasks. RLVR (Reinforcement Learning with Verifiable Rewards) & GRPO-style post-training are the new standard.#AI #ReasoningModels

“The Next AI Breakthrough Isn’t Size — It’s Thinking.” Bigger models aren’t the flex anymore. Smarter inference is. 2026 = post-training + routing + dynamic “heavy thinking” at runtime. GPT-5.2, Grok 4.1 are just the beginning. #AITrends #AGI #Inference

Generated with @grok imagine Asked @grok to animate one of the photos I took and what an amazing job in animating the same Really amazed at the speed and ease

🚀 AI Models Snapshot (Jan 2026) 🤖✨ The era of “one best model” is over ❌ Welcome to model stacks + specialization 🧩⚡ #AI #LLM #GenAI #OpenSourceAI #EnterpriseAI #2026Trends 🚀🧠💡

🚀 AI Models Snapshot (Jan 2026) 🤖✨ Closed 🔒, Open 🧠, Enterprise 🏢 — the LLM landscape is getting stacked 👀 🔥 Closed giants: GPT-5.2, Gemini 3 Pro, Claude Opus 4.5 🧪 Open reasoning: DeepSeek-R1, Qwen3-Next, Llama 4 🏗️ Enterprise muscle: NVIDIA Nemotron, Cosmos, Clara