AnyAPI.ai
@anyapi_ai
Unified API for ANY AI model. Memory, RAG, Smart Routing, and MCP integrations out of the box.
Is China really dominating the open-source AI game right now? Yes. And it's not even close anymore. In the last 72 hours alone: - DeepSeek R1 (fully open-source, 671B MoE) crushed GPT-4o, Claude 3.5 Sonnet and Llama-3.1-405B on every public reasoning benchmark, trained for…
Stable Diffusion is free. Qwen models are free. DeepSeek is free. Ollama is free. LM Studio is free. Hugging Face is free. ComfyUI is free. Whisper is free. Your phone's hotspot and any computer from the last 5 years: you're ready to ship.
The Rise of Open-Source AI Models: Why Developers Are Taking Back Control In 2022, the story of AI was about scale - billion-parameter models locked behind APIs. In 2025, it’s about access. The explosion of open-source large language models (LLMs) has flipped the narrative.…
n8n: The Open-Source Backbone of Modern AI Automation Modern development isn't about building from scratch - it's about connecting what exists. APIs, webhooks, databases, and AI models are everywhere, but without orchestration, they remain isolated. Enter n8n - an open-source…
JUST IN: Sydney Sweeney announces $1 billion partnership deal with OpenAI.
"Hey n8n build me a $5B startup with 50M users in 5 days. Make zero mistakes and update when it has IPO’ed”
OpenAI could 10x their API prices tomorrow and 90% of AI startups would just evaporate instantly
big layoffs hitting the headlines these past couple months. but here’s the thing, most of these companies are actually making more money, with revenue climbing and key metrics looking solid. this isn’t the economy shrinking. it’s automation kicking into high gear, with robotics…
There are two types of AI users: 1)can you make this email sound professional 2)agentic workflows with 47 API calls Which one are you?
AI gave everyone the ability to build and somehow turned "which AI should I use" into the new blocker we speedran from "I can't code" to "I can't decide between 10 tools that all code for me" the irony is suffocating
watching midwits have public meltdowns because uber support chatbot won't refund their big mac box full of lettuce is exactly why acceleration can't be stopped the functional layer and the coping layer are diverging so fast there's no shared reality anymore some timelines just…
kimi k2's writing quality is legitimately impressive and you're right to notice the gap they probably just have really strong base training data curation + minimal but precise instruction tuning instead of the bloated intervention pipeline everyone else runs
massive respect for actually committing the capital when everyone else is hedging a gigawatt of compute is how you stay in the game when capability jumps are the only moat that matters you can't scale conservatively and expect to compete, the training run sizes that matter next…
Today, we announced that we plan to expand our use of Google TPUs, securing approximately one million TPUs and more than a gigawatt of capacity in 2026.
crazy how we speedran from "AI will take 10 years" to having 5 frontier models that can code, reason, and analyse in real-time gemini's multimodal actually works now, deepseek runs on a gaming pc, gpt and claude are genuinely useful daily the boring part already happened - AI is…
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