Mark Fosdike (@markfosdike) 's Twitter Profile
Mark Fosdike

@markfosdike

founder @datchsystems. 🇦🇺 ✈

ID: 46368470

linkhttp://www.datch.io calendar_today11-06-2009 11:38:28

231 Tweet

100 Followers

338 Following

Mark Fosdike (@markfosdike) 's Twitter Profile Photo

Super important article imo. Only comment is that technology's goal isn't just to decrease scarcity, but also to reduce suffering. In any case, the long term goals still converge on mortality reduction.

Mark Fosdike (@markfosdike) 's Twitter Profile Photo

Despite the fact almost all periods of progress come down to new forms of easier energy extraction, it's not often explained in those terms. Even the transition to fossil fuels = global telepathy, food abundance, and the moon landing. What would an equivalent leap mean?

Alec Stapp (@alecstapp) 's Twitter Profile Photo

The Great Stagnation is coming to an end: “A nuclear fusion start-up backed by Silicon Valley investor Sam Altman and Peter Thiel’s Mithril Capital has secured $500m to demonstrate commercially viable power by 2024”

The Great Stagnation is coming to an end:

“A nuclear fusion start-up backed by Silicon Valley investor Sam Altman and Peter Thiel’s Mithril Capital has secured $500m to demonstrate commercially viable power by 2024”
Mark Fosdike (@markfosdike) 's Twitter Profile Photo

What does the exponential curve of increasing difficulty look like as you increase diameter from 4ft (Nebula M1) to 30ft (Starship)? Like, are they halfway, or are they 0.001% there?

Bret Kinsella (Read Synthedia) (@bretkinsella) 's Twitter Profile Photo

Some custom voice assistant chatter for your listening pleasure this weekend. Mark Fosdike CEO of Datch on Custom Voice Assistants for Industrial Manufacturing - Voicebot Podcast Ep 270 - voicebot.ai voicebot.ai/2022/09/02/mar…

Will Manidis (@willmanidis) 's Twitter Profile Photo

I've never seen VCs make a bigger mistake than generative AI. They are funding many projects that are destined to be abject failures. Even worse, they are totally missing the places where ML will actually have impact and generate enterprise value. Let me explain:

Mark Fosdike (@markfosdike) 's Twitter Profile Photo

This was the moment humans shifted our creative talent back to the hard problems of the real world. Released from the relentless burden of building software.