sari
the vibe I get from every product called Something AI "Nearly everything in our daily lives is improved by Chemistry. From transportation, to the clothes we wear! Chemistry helps bring us better food. Makes our homes more beautiful, more comfortable. Helps protect our health,… Show moreBrand Storytelling and Positioning
yes!! this is why I banned using the phrase AI from any of our marketing materials. nobody cares about AI. they care about what you can do for them.
New in the Screenshot Essays series: Humble Giants are Unbundling the Internet: http://estromberg.com/humble-giants- My philosophy re startup speed has completely changed over the last few years. I grew up at Uber, professionally, which held speed as the absolute, ultimate goal. Now, I still value speed, but hold quality as the binding constraint.
provocations and
agree w/this point. speed gets less important the more competitive your market is. when the market is already full of crap you really need to rise above the rest - 19/ A few other thoughts on hospitals in Covid era: Re: telemedicine – we learned that not only can many (perhaps most) outpt visits go virtual, but also many hospital visits. This helped us lower # of visits (w/ lower PPE use & infection risk) & has big future implications.
- Meanwhile, LLM results are probabilistic. 10 blue links are also probabilistic, but Google is giving you options - adding human curation by making you pick from a list of results. Using an LLM result is more like hitting ‘I’m feeling lucky’ - it requires more confidence
Future of Search and Context and Large Language Models (LLMs)
DAOs are generating massive revenue, allocating capital from billion-dollar treasuries & will have their "mainstream moment" this cycle or next. So we've compiled a map of core services (B2D / D2D) that support this new type of org below. Keep an eye on this market! 👀 👪🌐🤝👛- A startup’s data room is key for raising venture capital. But many founders waste time compiling data investors don’t want or need. From @venturetwins, a 🧵 on what founders need to know, including specific data investors want to see, info to leave out, and traps to avoid.👇