noupdates

I don't believe headlines like this. I cannot un-taste remote work. I have come to the pure conclusion that I have been faking, role-playing, acting a whole character at work for years. The morning costume, the morning routine, the persona, the blank stare at the screen ... I'm just tired of pretending.

I'm waking up at 9:30am with bed hair and letting the team know "no updates here" and going back to sleep. You can never ever convince me otherwise that there is a better way to live. Everything will get done, don't call me, I'll call you, see you next week (online). You shall never see me in the real world ever again.

Nice. Hyperland + multiple monitors + TUIs like this make my workflow quite futuristic.

Why would the US security apparatus outsource the model to a private company? DARPA or whatever should be able to finance a frontier model and do whatever they want.

There is a concept of going into the wilderness for some time (as we go through Lent). It's ancient. I wonder if we'll ever find out it's just as useful as intermittent fasting.

Take the following crude entities:

- Stones

- Sticks

- Some rope

Takes awhile, but humans eventually make a murder weapon out of that and build armies.

Now take the benign elements of a crud stack:

- Database

- Server

- User system

It takes awhile, but eventually humans will make something (something not good) out of that.

Sticks and stones may hurt my bones, but databases will never hurt me

Right?

They would. You can see how resilient GOOG has been during this recent draw-down, and how much growth it has had even as AI sells off.

There are many bitter lessons ...

Pay attention to the outflow of tech investment in the stock market. That money is going to move into OpenAI and Anthropic IPOs. The valuations will be as big you are thinking because the market believes these companies will represent an entire basket of startups.

To decouple this the person would have to broadcast nearly every event and rebuild the observer layers elsewhere.

I was just looking at the SWE-bench docs and it seems like they use almost an arbitrary form of context engineering (loading in some arbitrary amount of files to saturate context). So in a way, the bench suites test how good a model is with little to no context engineering (I know ... it doesn't need to be said). We may not actually know which models are sensitive to good context-engineering, we're simply assuming all models are. I absolutely agree with you on one thing, there is definitely a ton of low hanging fruit.

Challenge accepted.