🇺🇸🇺🇸Rep. Gohmert sues Pence to grant the Vice President the authority to save the republic from a rigged election.

Since it all comes down to what Congress decides to do on Jan. 6 concerning the legitimacy of the Dec. 14 Electoral College vote, Trump-supporting Republicans like

1. #Qanon told us that Saudi Arabia is a central piece of the puzzle in taking out the Deep State...we are watching the Deep State attempt to remove Crown Prince MBS and disrupt Pres Trump's administration's ties with MBS and the "new" Saudi/US coalition. Early in his admin,

2....@Potus sent Jared Kushner (JK) to SA on an undisclosed trip and told King Salman that business as usual was over, and if he wanted Pres Trump's support, Prince Alwaleed would have to be divested of $ and power; Alwaleed is one of top Deep State $ men and was tied to HRC.

3. @Potus knew that before he could begin cleansing the US and the rest of the world of the DS, he would have to cut one of the financial head's off the snake (Alwaleed). After JK met w/ King Salman, Alwaleed was arrested and divested of billions; MBS became leader of SA.

4. SA loves Pres Trump because he's a man of his word; SA could not trust Hussein or Clintons because they use SA for oil and leverage; SA has many factions, but essentially you have the new and upcoming SA that is attempting to modernize through Crown Prince MBS, and then you

5...have the old guard represented by Alwaleed who was one of the Deep State financial heads and loyal to the DS more than SA; SA knew Hussein was financing Iran to hold western world hostage, and SA was caught in middle of Deep State black mail; this is why @Potus was celebrated

1/ new essay: What's next for marketplace startups? Reinventing the $10 trillion service economy, that's what. Co-authored with @ljin18 https://t.co/fgKbrHTnH5. A short thread 👇

2/ Marketplace startups have done incredibly well over the first few decades of the internet, reinventing the way we shop for goods, but have been less successful services. It's bc services are complex, subjective, fragmented, and often in real life. Makes it hard

3/ There's been 4 major eras at making the service economy work online. The Listings Era, the unbundled Craiglist era, the Uber for X era, and the Managed Marketplace era

4/ Each era has added more value than the last, and utilized technology innovations, from internet to social / "read/write web" to mobile. The "Unbundling Craigslist" era was particularly epic at generating startup ideas

5/ The problem is, all the low-hanging fruit has been picked off. The techniques that got us to here won't get us to the next phase. So we have to do some pretty different things. That's why "Managed Marketplaces" have been a big deal - hire folks as W-2s, certify quality, etc.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.