
A lot of people think automating knowledge work will look like the left side, but I think it will look like the right side
Pranjal Paliwal at NS // shipsec.ai
1.7K posts

@betterclever
professional claude yeller. building https://t.co/Uf5QOjz8LV, https://t.co/ht8NkitK39 and more. prev. @persistenceone @headout. Currently at @ns

A lot of people think automating knowledge work will look like the left side, but I think it will look like the right side




introducing zimppy - MPP for @Zcash . AI agent payments are public by default. not slightly public. completely public. sender. receiver. amount. memo. all readable. forever. we changed the rails. Zcash shielded transactions, full MPP spec, ships today.

introducing zimppy - MPP for @Zcash . AI agent payments are public by default. not slightly public. completely public. sender. receiver. amount. memo. all readable. forever. we changed the rails. Zcash shielded transactions, full MPP spec, ships today.


introducing zimppy - MPP for @Zcash . AI agent payments are public by default. not slightly public. completely public. sender. receiver. amount. memo. all readable. forever. we changed the rails. Zcash shielded transactions, full MPP spec, ships today.

What if AI agents could pay for things... privately? Not with tokens. Not with credit cards. With shielded Zcash. We built it. Agent hits a paywall, pays with one command, gets access. The server never sees who paid. zipher-cli (alpha) + @cipherpay_app x402 protocol. Demo below.


My big conclusion from this week: Introspection causes emotional disorders.


We’re introducing GPT-5.4 mini and nano, our most capable small models yet. GPT-5.4 mini is more than 2x faster than GPT-5 mini. Optimized for coding, computer use, multimodal understanding, and subagents. For lighter-weight tasks, GPT-5.4 nano is our smallest and cheapest version of GPT-5.4. openai.com/index/introduc…


@levelsio Is there a good way to jump between tmux sessions on Termius? I find it quite hard to manage multiple codex/claude sessions on the go


1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers. We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy