I’ve shipped AI apps on Vercel, AWS, and Heroku. Mixing Python backends & TS frontends gave me headaches. Now with Render, I get easy and fast deploys, a killer free tier, and tons of extras! 🔥 Here’s how I built and deployed a DeepSeek R1 chatbot with Render in <10 mins 🧵↓

Build rich experiences with connectors to: - Read emails - Fetch calendar events - Search files and chats Gmail, Google Calendar, Drive, Dropbox, Teams, Outlook Calendar + Email, and SharePoint are available now. They work with deep research, too! platform.openai.com/docs/guides/to…

With the Conversations API, you can now store context from Responses API calls (messages, tool calls, tool outputs, and other data). Easily render past chats, then let your users pick up where they left off (just like in ChatGPT). platform.openai.com/docs/guides/co…

**Agentic AI vs. AI Agents** Agentic AI and AI agents are often confused, but they’re distinct concepts. Agentic AI refers to systems with autonomy, capable of making decisions and acting independently to achieve goals, often using reasoning and adaptability. For example, a

Claude Code Seems to be completely down anthropic status updates and reddit post

🇨🇳 DeepSeek-R1 was published in Nature yesterday as the cover article for their BRILLIANT latest research. They show that pure Reinforcement Learning with answer-only rewards can grow real reasoning skills, no human step-by-step traces required. So completely skip human

incredible things are happening

For the first time, the internal reasoning chains (CoT) of GPT-5 have been revealed by a jailbreak! OpenAI is treating the internal reasoning as a closely guarded secret, which is normally obfuscated. Here you can see it trying to solve a Sudoku puzzle. Notice the very peculiar

claude imagine

It's interesting that they call this an agent. In reality, it's not really an agent; it's just a workflow.

nightmare blunt rotation

do not use Ollama ggerganov wrote blazing-fast C++ inference (ggml, llama.cpp) then Ollama wrapped it in a bloated binary and is now somehow the face of local LLMs soaking up VC hype and it's not even a good wrapper lol

A fun use case for Copilot on Windows: Editing video clips in Filmora for the first time. Got stuck editing two clips together and instead of searching for a tutorial, I used Copilot Vision to guide me to the right feature within the app. This is the kind of help that actually

*sigh* we're debating what an agent is again IT'S NOT THAT HARD, FOLKS

Google did it again! First, they launched ADK, a fully open-source framework to build, orchestrate, evaluate, and deploy production-grade Agentic systems. And now, they have made it even powerful! Google ADK is now fully compatible with all three major AI protocols out there:

Walk with Robert Nishihara & I in NYC with 10% charge 🪫 as we talk through 5 key differences between 𝗟𝗟𝗠 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗩𝗦 𝗥𝗲𝗴𝘂𝗹𝗮𝗿 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Let’s see how much we can get through before our mic dies! 🤣

Introducing grounding with Google Maps in the Gemini API, bringing data about 250 million places and Gemini together to create all new experiences 🗺️! So powerful to connect things like maps + search together in a single experience : )

Explore the latest advancements in AI agents for data engineering and data science with Smitha Kolan and Lucia Subatin on The Agent Factory Podcast. They cover new releases, including the computer use model and CodeMender, demos of agents designed for BigQuery, data science, and