If everyone had said this 100 years ago we wouldn't have the Polio vaccine, air conditioning etc.
There are lots of problems in the world and there are still a ton of incentives to fix those problems. Yes there is also greed, scams, and exploitation - but that's never going to go away
> If AI is going to 10x our productivity across the board, that means that I should be able to produce the same amount of output by midday on Monday that, in the before times, would have taken all week.
That would be true if you and only you are 10x more productive than anyone else. Since everyone is now 10x more productive it just means you have to work just as much as before since you're competition can outwork you. I don't get why people don't understand this.
I am surprised they aren't leaning into the agent dev tool mania right now. File syncing is actually very in demand right now and everyone is not doing a great job figuring it out.
I will say, Teslas usually have too much torque because I feel very nauseous in them as a passenger. Having more fine grained control over the torque profile might be nice
> We've got a QA agent that needs to run through, say, 200 markdown files of requirements in a browser session. Its a cool system that has really helped improve our team's efficiency. For the longest time we tried everything to get a prompt like the following working: "Look in this directory at the requirements files. For each requirement file, create a todo list item to determine if the application meets the requirements outlined in that file". In other words: Letting the model manage the high level control flow.
This is cool. Can you elaborate on it? Is it flaky? Does it take a long time?
FWIW I've had the opposite experience. Whenever I work late the output is absolute garbage. If I work past midnight it takes me 3 hours to get done what would have taken me 30 mins in the morning, and with way less frustration and stress. Your inputs to the LLM are only as good as how fresh your mind is so I've made it a rule to not work past midnight (unless there's an emergency).
In the good old days you would reach flow and actually know when you're too tired to continue. Now you can just say "please just fix it" over and over again and get yourself in a slophole much easier.
Isn't this just picking up pennies on an active railroad track? You'll win small bets and then get run over once a long tail event completely wipes you out.
We're building this at type.com. Ideally one day we want to build the next gen protocol so that we're not searching for yet another communications platform, but it's going to take a while for chat to stabilize with all the generative UI and agentic stuff we're building. We're even talking about open sourcing it.
With regards to the specific complaints about not owning your data, we're building the product so that you own your data and you can run your agents and read your messages however often you want. Obviously when we build a platform and others build 3rd party apps we will have to have some restrictions so it'll be a steady balance in the future
The cynical part of me thinks that software has peaked. New languages and technology will be derivatives of existing tech. There will be no React successor. There will never be a browser that can run something other than JS. And the reason for that is because in 20 years the new engineers will not know how to code anymore.
The optimist in me thinks that the clear progress in how good the models have gotten shows that this is wrong. Agentic software development is not a closed loop
The carbon in our atmosphere is already in the atmosphere and it won't go away. So there really is nothing more you can do other than take it out of the air and store it somewhere for as long as you can. Trees are a good way to store it until we have better technology/can handle climate change better
Yes, and the scary thing is that soon the atmospheric carbon PPM will be high enough to start affecting how we think, act, and feel on a day to day basis.
formerly: CTO inbuild.ai Cofounder halp.com (acquired by Atlassian)