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If you are building apps and haven't read 12 Factors, you are either a genius or you like choosing pain over gains when you write software... 12factor.net

Just re-watched Limitless movie, such a huge boost to motivation. Never be limited by the idea that your brain has limits, you can achieve extra-ordinary even without NZT

When you use your own product to review your company incorporation documents 🤯

Never thought this day would come - Python releases the GIL. 34 years after its birth! No more multiprocessing!

Tech bro in his unnatural habitat

OpenAI realized - why bother with ads if we can facilitate the purchase directly and get even fatter margins than Google/Meta

Beautifully put by Andrej Karpathy We are doing the same thing but for documents.

Just like the @ in Cursor 🤓

Those AI models are just too hot to handle 🌶️ require billions in HVAC spending

Should be shown before any election and taught in schools.

All it takes is 1 line change in your system prompt and your users run for their lives. Hence everyone complaining intermittently about Cursor, Codex and Claude Code… and switch between them. With every release there are new “prompt bugs” that evade existing evals and land in

AGI is just around the corner but somehow my life hasn’t changed much 🤡

listen to customer calls, pause grinding operations to strategize and push for more

One of 2025 Nobel Prize in Physics laureates is John Hopfield, who showed how AI can be formed from the laws of physics! He discovered the Hopfield Network. It’s a form of a Recurrent Neural Network (RNN) in AI that can remember and recall a memory, inspired by energy

I like Traycer idea of converting a github issue to an implemented feature or bug with AI. The problem is that there is not enough information in the issue description to fully give context to the LLM. For QA bugs, if it was possible to fully reproduce the user flow - take

Best Models from API perspective: Reasoning: GPT-5 reasoning high Long context: GPT-4.1, Gemini Tool Calling: Claude Sonnet 4.5 Instruction following: Claude Sonnet 4.5 Image input: Gemini 2.5 Pro PDF: Gemini 2.5 Pro In-built tools (Web Search, File Search, Computer Use): OpenAI

Prediction: Next year Apple will release human-verification features whenever you use iPhone / Macbook to disambiguate if it's you vs AI using your devices. This will be used in social apps like Instagram to show human authentic content.