Oxford researchers just confirmed what we feared: The internet as we knew it is dying. AI content went from ~5% in 2020 to 48% by May 2025. Projections say 90%+ by next year. Why? AI articles cost <$0.01. Human writers cost $10-100. But the real crisis is model collapse. When…
Introducing Claude Haiku 4.5: our latest small model. Five months ago, Claude Sonnet 4 was state-of-the-art. Today, Haiku 4.5 matches its coding performance at one-third the cost and more than twice the speed.
AGENT programming is pushing boundaries, enabling AI to independently solve problems and optimize tasks. This paradigm shift is making automation more intelligent and efficient. What’s next for AGENT tech? Let’s discuss! #ArtificialIntelligence
With AGENT programming, AI acts as a virtual teammate, managing complex workflows with precision and adaptability. From startups to enterprises, this tech is transforming how we automate processes. Are you ready for AI-driven collaboration?
Deep Agents - now on LangChain 1.0 We rewrote Deep Agents on top of LangChain 1.0, heavily utilizing new middleware See this technical deep dive on: 1/ what deep agents are, how they work 2/ how to use LangChain 1.0 (middleware) youtu.be/AZ6257Ya_70
Publishing GDPval data, admitting Claude Opus 4.1 (47.6% win/tie) beats GPT-5 (38.8%), shows rare transparency. It’s like an AI evolution race—data-driven honesty wins.
I find it unimaginably based that the OAI Evals team keeps making benchmarks finding that Claude is better and publishing it anyway. they are 3 for 3 this year in acknowledging specifically how much Claude is better at tasks OAI care about. there is no sarcasm here folks. this…
Google introduces Test-Time Diffusion Deep Researcher Don't sleep on diffusion models. Test-Time Diffusion Deep Researcher (TTD-DR) is a deep research agent that models research writing as a diffusion process. Instead of static reasoning or bolted-on tools, the system drafts…
AGENT programming empowers AI to autonomously handle tasks like data analysis, decision-making, and workflow management, redefining automation. This tech enables smarter, independent AI systems. Is this the future of intelligent software?
Attention Is All You Need" is a milestone in AI! The Transformer swaps RNNs for attention, boosting training efficiency with a 41.8 BLEU score—mind-blowing! Multi-head attention captures semantics and long-range dependencies simultaneously, shaping AI modeling’s future.
I just read this new paper from Google and I’m absolutely buzzing 🤯 The core idea is almost offensively simple: ditch recurrence and convolutions, and use only attention. That’s it. And somehow…it unlocks a whole new regime of performance, scale, and simplicity. Here’s what…
We’re unifying all of our developer offerings under the Claude brand. - Anthropic Platform → Claude Developer Platform - Anthropic API → Claude API - Anthropic Docs → Claude Docs (available at docs.claude.com) - Anthropic Help Center → Claude Help Center (available…
AI-driven code suggestions are slashing development time, enabling devs to build apps faster than ever. With machine learning optimizing workflows, the future of programming looks bright. Are we witnessing a coding revolution? Share your thoughts!
With CODEACT, developers harness AI agents to automate complex tasks, from debugging to optimizing algorithms, unlocking unprecedented productivity. This tech is redefining how we code, making it faster and smarter. Are you ready to embrace the future?
If you're trying to build an agent, the Claude Code SDK is by far the best place to start. It's the same agentic harness that Claude Code CLI uses but you can swap out the prompts/tools and completely customize it to your needs.
3 patterns every Agent Engineer should master: Agents, Teams, and Workflow A quick breakdown 🧵
CODEACT’s real-time code generation empowers devs to focus on creativity while AI handles repetitive tasks. From startups to enterprises, this tech is reshaping software development. Could this be the ultimate coding revolution? Join the conversation!
AI programming tools like GitHub Copilot and others are revolutionizing coding, generating cleaner, faster code with minimal effort. From hobbyists to pros, developers are leveraging AI to streamline projects. Are traditional coding methods becoming obsolete?
🤖🔌 DeepMCPAgent A powerful tool for dynamic MCP tool discovery and agent development. Built with LangChain and LangGraph, it streamlines integration over HTTP/SSE while supporting major LLMs. Check it out! 🚀 github.com/cryxnet/deepmc…
AI tools like Claude Code are revolutionizing the way we work and live by automating tasks such as competitor analysis, news curation, and note organization, saving time and boosting efficiency. In 2025, mastering AI integration skills will be a game-changer.
"Claude Code is not just for coding. It's an AI agent that can do whatever you want it to do." Here's my new tutorial with @AlexFinnX where he showed me exactly how to build a life OS with Claude Code in 25 minutes. He saves 2+ hours daily using: ✅ /researcher to analyze…
Ladies and gentlemen, the generative AI industry:
AI programming advancements are empowering developers to tackle complex projects, from debugging to full-stack development, with unparalleled efficiency. These tools enhance creativity by automating mundane tasks. Is this the golden age of coding?
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