dosco189

looking forward to the feature! I tried the product but as of now it's too much work for me to migrate and enter each book one-by-one, especially since I don't have a digital file containing the log.

the "aha" moment for me would be if I could click a picture of my bookshelf and have the catalogue be ready.

I'd highly recommend a checkout flow where a user clicks a picture of their bookshelf, and the app automatically extracts the titles, versions, publications etc. I'd be interesting to know how people use your product depending on the "size" of their libraries... cheers and good luck!

What are the kinds of use cases for which it makes sense to you? And how do you evaluate the nature of the gain before deciding whether or not using AI will be worth it?

What do you mean by energy here? Personal energy (i.e. time, effort, up-skilling etc) or energy as a physics concept (i.e. literal energy usage in watts, the production of which will harm the environment)?

Interesting - what are the kinds of tasks that make up 'effortful thinking'? Do feel like you're now putting in "effort" towards other kinds of thinking / work?

I am curious if using AI has changed the fundamental ways in which you view "effort" and "value" from pursuing a piece of work.

Are there are new kinds of challenges that come up when you're using some new AI tools?

I find the analogy to candy particularly interesting. The default comparison being that "too much of it is bad for you". Do you feel that you are putting on "cognitive weight" as a result of using AI?

Tell me more about this love hate relationship! What was the moment when you fell in love? And what are the moments that culminate in hate? What are the contexts in which you use AI that make the love persist?

You are correct! Sadly I can't go back and edit. If this was an LLM, I would just start a new chat without the typo. A new context forgives the sins of the past.

Funny that I'm exploring the impacts of over-dependance/reliance on AI tools, and made a mistake because of the same. Will certainly proof-read after using speech to text!

and yes, extent*

This is super interesting, could you share some examples? Plenty of philosophers are with you in that technology doesn't just exist as a "tool" but actively affects the ways in which we perceive and relate to the world, and understand ourselves.

What are some ways in which you have seen the perceptual abilities of coworkers erode over time?

An efficiency oriented logic makes us think that we're getting the work done "faster", and it "feels" like faster time to market, but in reality you experience a slowdown and a decline in quality...

PS: my own dependance on Wispr (a speech to text dictation tool) changed the way I write / interact with computers - my over-reliance meant I didn't proofread the title, and the "EXTEND" sticks out like a sore thumb...

I am using it to learn programming. I have no technical background but know enough about technology to be able to talk about the problems abstractly. Because my knowledge of the space is not via formal education and training, I have gaps in my knowledge and do not know deeper details about how ideas connect with each other on a deeper level.

GPT allows me to ask questions and provide the right kind of "connecting" bridges between two concepts I was not earlier aware of. It has made recursive forms of learning very easy for me, when I can articulate the "what" but lack a clear understanding of "how".

From a theory pov, inflation can be cost push (raw materials cost more for producers) or demand pull (demand more than available supply).

In the real world - both can happen simultaneously.

When interest rates rise, not only does higher cost of borrowing discourage investments and spending (an attempt to kill demand to bring down prices) it also reduces the money supply of the economy.

The money supply refers to all the liquid assets and cash that are in circulation in a country's economy. It is important because it is closely related to the credit market.

But money supply works in conjunction with market risk - which often branches out to two functions - liquidity preference and risk premium. The former is a theory that suggests that an investor might prefer 6% over 10 years than 3% over 5 years. The latter suggests that one investor might pick the 3% (lower yield) option because it has better risk premium - say the 6% is a bond in a DVD store, and the 3% is a government bond (example).

What we're witnessing now is the spiralling, second order effects of rising rates - which on the one hand attempt to kill demand and curb prices for consumer goods, but on the other, affect the money supply and force investors to rebalance their portfolio and start evaluating different risk premiums.

The Fed has dug itself into a hole because monetary policy changes have massive spillover effects into other areas of the economy, not just inflation and cost of borrowing, but also things like how participants in the economy view liquidity and risk premiums.

Can't A/B test monetary policy, or life. Institutions, like people, will learn to face the consequences of their actions and learn to live with their choices.

Because "Pro-Environment" messaging is neither about being preserving the environment, or about the environment. It's about co-opting the relevant ideal within the overton window to signal some form of ethically accepted form of compliance.