DATAsculptor
@Gross_sculptor
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https://t.co/8tVDGKwr2V #datasculpting teaching machines to sculpt | powered by @Mlearning_ai
Joined January 2013
"The Dictionary of Datasculpting": an intersection of art and machine learning, where silent spectators watch as models create and perceive. Join us for this artistic dialogue. https://t.co/FoGnYkjJH5
#Datasculpting
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Stop fearing costly errors in your AI coding sessions 🔵 This video introduces Claude Code 2.0.3X 's powerful Checkpoint system https://t.co/H31Tj2HBMF 🟠 You'll discover how the NEW command acts as a safety net, letting you instantly undo complex mistakes
Most people use 20% of Claude Code’s power 🔵 The new update quietly changes how we code, not just what we code 1️⃣ Plan Mode blends Sonnet + Haiku for cost-smart reasoning 2️⃣ The /Explore subagent reads your repo like a novel 3️⃣ Skills let you “teach” Claude your methods
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The AI model race is over The real war has just begun 🟠 We're moving from building bigger models to building the "internet" they'll live on 🔵 MLearning.$ubstack The New Google for AI Agents Protocol Economics & MCP 2.0
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You're teaching it to build a fishing rod. "Code execution with MCP: Building more efficient agents" by @AnthropicAI
https://t.co/XYIi6rK5g0 🚨Conceptual shift from tool orchestration to code-centric agency It explains why agents must write code to call tools, rather than
Context rot isn’t an LLM IQ problem it’s a state problem Ship whole features in one unbroken run by fixing state, not stuffing tokens. The solution isn’t a bigger window... https://t.co/8D18E3yRU2
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Anthropic is paying $1,000 They want you to be a world-class QA and stress-testing engineer. The work is for their new coding product. It is for a period of two weeks
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Stop babysitting your Agent 🟠 https://t.co/zH5DW9UtLv It's the single biggest bottleneck we all face. You're deep in a "flow state" and suddenly, the agent "forgets" the rules Your flow shatters You're forced to manually restart, re-feed context, and babysit the session 🔵 But
Solving Agent Amnesia: 28+ Principles for Building Stateful AI 🔵 The winners in 2026 won't have the best models. They'll have the best agent systems that don't forget the rules MLearning.$ubstack
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We're finally moving past the 'text-only' crutch and building models that perceive information spatially, as humans do. 🔵 The cost-saving is a nice side effect, but the real unlock is native spatial reasoning https://t.co/begYFKihTh
Vision Tokens vs Text Tokens 🟠 10 Real Scenarios That Show Why Your Document Processing Costs 20x More Than It Should 🔵 MLearning.$ubstack
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Cursor transformed from tool to AI lab, weaponizing real developer workflow data against OpenAI/Anthropic 🔵 Cursor 2.0 : workflow OS fast agents, parallel worktrees, sandbox; prioritize time‑to‑merge over IQ
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layout is meaning; let AI read the page’s image to keep structure and deliver reliable automation https://t.co/o3pUiYjaQN
Vision Tokens vs Text Tokens 🟠 10 Real Scenarios That Show Why Your Document Processing Costs 20x More Than It Should 🔵 MLearning.$ubstack
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100+ failed LLM Agent runs? 🟠 One promising build after another derails mid-flow, and you can't find the "why"? It’s not your plan It’s a single "ghost instruction" that silently ensures your agent will always fail 🔵 What is it?
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The ultimate creative act is no longer the output (the painting, the datasculpture or the text) The ultimate art is the system itself the elegant, unbending "laws" that made the output possible 🟠 MLearning.$ubstack
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The image shows that you’ve joined @OpenAI ChatGPT for 1638 days To find out your join date, we can count 1638 days backward from today — October 21, 2025. ✅ You joined ChatGPT around April 27, 2021. That means you’ve been using it since the early days of ChatGPT’s release!
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Stop prompting your AI and start writing its "laws" Claude Code Web is the autonomous cloud sandbox where it runs the assembly line to prove it followed them
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Don’t chase “the one best model” A top-tier practitioner treats LLMs like tools in an artist's studio: each has a specific stroke, a texture, and an ideal role in bringing a masterpiece to life Orchestrate a few, keep tight control of context, and audit their output in small,
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Stop thinking that 'short, clean' prompts work well. 🟠 your LLM can now evolve by learning from every outcome, like a living playbook that gets smarter with use. 1️⃣ Stop fine-tuning your model: use Agentic Context Engineering (ACE) to let the AI reflect on its own output and
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🚨 OpenAI Agent Builder + The Creative Professional’s Complete Guide to OpenAI Agent SDK NEW Visual Canvas Era. 28 Tips & Tricks for Creative Professionals 🟠 MLearning.$ubstack
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A place designed to serve as a cultural landmark, aiming to stimulate community interaction and growth
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How to get started with the Claude Agent SDK 🟠 A Beginner's Guide Real-world Agent SDK implementation. 10 Pro Tips & Tricks 🔵 MLearning.$ubstack
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The CLI (Command Line Interface) We spent 40 years escaping this ancient text-only terminal, building beautiful UIs with buttons & animations... only to realize when you add LLM, this 1970s relic becomes the MOST futuristic interface Full circle: typing to computers is cool again
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🟠 Claude Code 1.0.123 Custom slash commands let you save and reuse prompts as Markdown files. These commands can be run directly in Claude Code. They are organized by scope: 1️⃣Project-specific – used only in one project 2️⃣Personal – available just for you You can also use
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