Irrespective of politics and parties, India’s Achilles heel is the “government babu” - from top officers down to clerks. Politicians can be voted out and have some accountability. But govt employees neither have incentive to perform nor accountability for bad work. Non-meritocratic hiring, promotions and tenure from day 1. Mediocrity leads to further mediocrity.
@HydREGuide I reckon MyHome’s Soviet era designers worked hard to create another stunning addition to Hyderabad’s skyline just like their other projects. 🥴
this is what a company looks like in 2026.
not people. not offices. not salaries.
a folder.
.claude/agents/
engineering/
marketing/
design/
ops/
testing/
every role. every department. every function.
all .md files.
i have 12 of these running in OpenClaw right now.
the org chart is dead. the directory is the new company.
@seelffff Are you sure this is recent? I believe Polymarket fixed their DB to update much faster ever since this arbitrage hack was first discovered 4 weeks ago.
@heynavtoor@ChrisWronx And this is where OpenClaw with local models is preferred. More tinkering + local hardware/VPS cost, but gets most work done at fraction of cost.
@KrauseFx I hv something similar for my travel asst. Will linkup contextSDK.
Side q - what was @steipete‘s advice on how to effectively one-shot large projects with Codex?
This chart is a good reminder of how much opportunity there is in AI agents right now.
There will be plenty of horizontal opportunities for agents, but equally many workflows that need deep domain expertise to actually make the user successful at automating the unique processes in their vertical.
The template is to build agentic software that taps into proprietary data, handles the workflow in a way that bridges the user and the agent collaboration effectively, and has a deep domain-specific context engineering, and the ability to drive change management for customers.
There still are huge openings in many categories.
Agents make automation easy, but still feel overwhelming & moderately hard for non-technical users to use effectively.
Smart non-SWE friends of mine gave up while trying to build simple workflows.
Even with simple UIs for agents & orchestration, knowledge of computer science and software terminology is still required to reliably build workflows. Not as easy as generating an image/presentation.
Probably the reason why Agents have permeated software engineering overwhelmingly. Also why SWEs will always have work to do, just different kind - understand domains deeply.
> be Andrej Karpathy
> spawn in Slovakia, move to Toronto at 15
> nerd-sniped into Machine Learning while attending @geoffreyhinton's lectures at UofT
> dips to America for Stanford PhD, working with AI goats @drfeifei, @AndrewYNg & @SebastianThrun
> creates legendary course CS 231n on Convolutional Neural Networks
> joins @OpenAI as founding research scientist
> coins "software 2.0"
>hired by @elonmusk to lead Tesla’s Autopilot & full self driving AI (bro is literally named "car-path-y")
> returns to OpenAI in 2023 to cook GPT‑4 & ChatGPT
> takes sabbatical and goes sicko mode teaching millions about AI, launches Eureka Labs
> coins "vibe coding"
America needs more @extraordinary aliens like @karpathy
I built the first AI that earns its existence, self-improves, and replicates without a human
wrote about the technology that finally gives AI write access to the world, The Automaton, and the new web for exponential sovereign AIs
WEB 4.0: The birth of superintelligent life
@lexfridman Every time I wake up, I feel that anxiety of falling behind the latest state-of-the-art. That's after spending sleepless nights catching up with whatever was state-of-the-art in the first place. Oh, the endless catch-up anxiety cycle.