Paraphrasing @tusharbohra on @IIC_Conference today ::

"If 10 commodity companies are doing capex at the same time, it signals a peak. If 10 companies in Chemicals/API/Pharma are doing capex in different products at the same time - it probably signals the start of a New Era" 🇮🇳🇮🇳

There's been a lot of talk about the missionary killed by the natives of North Sentinel Island. They're probably so aggressive because of this weirdo, Maurice Vidal Portman. So here's a big thread about this creep and some facts from my decade-long obsession with the island.

The Sentinelese are often described as “uncontacted,” but this not strictly true. They had a very significant contact in 1880 with Commander Portman.

Portman, the black sheep third son of some minor noble, was assigned by the English Royal Navy to administer and pacify the Andaman Islands, a job he pursued from 1880-1900 with the full measure of his own perversity.

Portman was erotically obsessed with the Andamanese, and he indulged his passion for photography by kidnapping members of various tribes and posing them in mock-Greek homoerotic compositions.

During his 20 years in a sexualized heart of darkness, Portman measured and cataloged every inch of his prisoner’s bodies, with an obsessive focus on genitals.

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.

Due to the pandemic you may not have visited your local library in a while. So come with me on a virtual library tour, courtesy of stock photography, to see what we do for a living...

Libraries are of course information resource centres, but in many ways they are so much more. To get the best out of them you need to really know your way around the stacks.

The enquiries desk is normally your first stop in a library, and this is where you will meet The Angry Librarian! Why is she angry? Because you keep asking her stupid questions!

"Are you open?"
"Do you have a toilet?"
"That chair's wobbly!"
"Why isn't it available in audiobook?"
"Someone else is on the computer and that's not fair!"

On and on it goes...

And that's why in the library we insist on silence. It's the only way to stop us swearing at all the idiotic things you ask us. And we've looked up a lot of old swear words: beardsplitter, bescumber, rantallion, smellfungus etc. We're such muckspouts...