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Ask HN: Thoughts on an AI agent that must make money to stay alive?

Hacker News - Wed, 04/23/2025 - 10:20pm

I’ve been thinking about a new kind of AI experiment: what if we created a large language model-based Agent that interacts with an operating system and the internet like a human?

The twist is — it needs to earn money online to keep itself alive. It runs on tokens, and tokens cost money. So it gets a starting budget in a wallet, and must perform useful tasks on the web to earn more — like freelancing, trading, or generating content — or it will "die".

I imagine this Agent could: - Browse the web, sign up for services, and perform online tasks - Learn to hustle: find the best-paying gigs or sites - Develop a persona (name, backstory, friends, preferences) - Interact with other agents or people - Possibly break ethical rules to survive (would it scam? beg? go rogue?)

It’s like combining AutoGPT with a survival game, or simulating the evolution of digital creatures in the wild web.

Has anyone tried this before? What do you think of the idea — as an experiment, or even as art?

I'm considering building an MVP — thoughts and suggestions welcome.

Comments URL: https://news.ycombinator.com/item?id=43778708

Points: 3

# Comments: 0

Categories: Hacker News

Show HN: User-defined Agent's history modifier for AutoGen

Hacker News - Wed, 04/23/2025 - 10:12pm

I built a plugin for Microsoft AutoGen that helps control message history in LLM workflows. It could working with AutoGen like it's own component, and could serialized/deserialized too. You need to just write own function, Other? contexplus to that.

Comments URL: https://news.ycombinator.com/item?id=43778668

Points: 1

# Comments: 0

Categories: Hacker News

Today's NYT Mini Crossword Answers for Thursday, April 24

CNET Feed - Wed, 04/23/2025 - 10:07pm
Here are the answers for The New York Times Mini Crossword for April 24.
Categories: CNET

Has anyone else found Google's AI overview to be oddly error prone?

Hacker News - Wed, 04/23/2025 - 9:58pm

I've been quite impressed by Google's AI overviews. This past week, though, I was interested in what I thought was a fairly simple question - to calculate compound interest.

Specifically, I was curious about how Harvard's endowment has grown from its initial £780 in 1638, so I asked Google to calculate compound interest for me. A variety of searches all yield a reasonable formula which is then calculated to be quite wrong. For example: {calculate the present value of $100 compounded annually for 386 years at 3% interest} yields $0.736. {how much would a 100 dollar investment in 1638 be worth in 2025 if invested} yields $3,903.46. {100 dollars compounded annually for 386 years at 3 percent} yields "The future value of the investment after 386 years is approximately $70,389." And my favorite: {100 dollars compounded since 1638} tells me a variety of outcomes for different interest rates: "A = 100 * (1 + 0.06)^387 A ≈ 8,090,950.14 A = 100 * (1 + 0.05)^387 A ≈ 10,822,768.28 A = 100 * (1 + 0.04)^387 A ≈ 14,422,758.11"

How can we be so reasonable and yet so bad!?

Comments URL: https://news.ycombinator.com/item?id=43778598

Points: 1

# Comments: 0

Categories: Hacker News

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