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)
This transformation begins with less-complex, one-off models (typically referred to as machine learning) to do simple tasks that are forgiving to mistakes; for example, Netflix using AI to recommend shows.
10. Sub $10k transactions command ~90%+ of the frequency of transactions for NFTs. There were ~750k active buyers and sellers for NFTs in the past quarter.
The modern browser extension API has done a good job balancing extensibility with security, and yet we’re still grappling with the consequences of browser extensions invading people’s privacy. Giving extensions more power would raise the stakes further. Still, we shouldn’t give up in the name of security—we should fight for extensibility as a value... See more
One major challenge is the inference time of the models. While models like ChatGPT have improved in speed, they still take time to process information. When dealing with a large number of agents, there can be significant latency in real-time interactions. Optimizations and fine-tuning will be necessary to make the models faster and more efficient.... See more
Actually, this is disputed, costs of API calls are crucial at this stage, due to simple, 1-sentence action roughly requires 40~75k tokens burn.
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
"When I first started out in advertising and engaging with these partners, Facebook knew what you liked, Google knew what you searched, and Amazon knew what you bought. Those things became interconnected but blurred at the same time."