Darren LI
@darrenli
Creator Economy, AI & retail-tech investor | J.D. & J.M. | PNG collector | Musical lover | Happy to chat, using Cal.com link below to book calls (https://cal.com/darrenli)
twitter.comDarren LI
The main differences between the AutoGPT project and traditional LangChain agents can be attributed to different objectives. In AutoGPT, the goals are often more open ended and long running. This means that AutoGPT has a different AgentExecutor and different way of doing memory (both of which are more optimized for long running tasks).
Autonomous Agents & Agent Simulations
In addition to analyzing their objective, and coming up with tasks, autonomous agents can have a range of abilities that can enable them to complete any digital task a human could, such as:
- Access to browsing the internet and using apps
- Long-term and short-term memory
- Control of your computer
- Access to a credit card or other form of payment
Matt Schlicht • The Complete Beginners Guide To Autonomous Agents
one of the most innovative examples of a company who has successfully been able to capture value in the native token
Zach Fitzner • Binance: A Case Study of BNB’s Success
- Create the NFT membership- Introduce the membership to fans- Work with the community to create value for the NFT membership - Managing the business
Future • A Practical Guide to NFT Memberships for Creators
📇 50+ AI founders you should know on X:
(I know I missed a lot. Comment below if I did. I want to know you 🤝)
- Sam Altman > @sama > Open AI ($11.3B)
- Mustafa Suleyman > @mustafasuleyman > Infection ($1.5B)
- Daniela Amodei >... See more
Chief AI Officertwitter.com
What about larger companies? With some caveats, larger companies aren’t worried about going out of business because their Amplitude is too expensive. They might be price-conscious in terms of negotiating a contract in context of their budget, but most SaaS software is just a line item at the end of the day. What matters more is that the solution is... See more