No one expects a math teacher to tell a talented student that he or she could become the next John von Neumann. (No one expects math teachers to tell students about von Neumann — perhaps the greatest mathematician of the 20th century — at all.) And no one expects math teachers to talk with the kind of fire, or to demand the kind of commitment and accountability, that football coaches do.

Dramatic run-ups in the price of Bitcoin strangely seem to coincide with large exchanges having banking, withdrawal, and possibly solvency problems. This was the case with, e.g., Mt. Gox in 2013, and some have argued was also the case with long-suffering crypto exchange Bitfinex in 2017. It is possible that the current price of a Bitcoin bears some relation to, and is uniquely vulnerable to, regulatory developments.

So we can search for a contact by name or phone number or search for a specific conversation by messages if we remember part of the text and eventually extract the complete conversation based on the conversation ID. First let’s find a conversation we care about, such as by looking for a specific phone number:
a fragment of the phone number is enoughyou should notice that the lambda I created is used to search both the from and the to columns. Anyways, moving on if we look at the ZCHATSESSION column we’ll notice that in my case the conversation id will be “104.0” for this number (if there are also group chats you may see more than one chat session id).

Americans don’t seem to like insurance companies much, even if they’re happy with their health coverage itself. One reason insurance companies get a bad rap is that they’re associated with “surprise medical bills.” When stories come out about surprise medical bills, people tend to blame insurance companies right away.

That’s because the bones of the open-source operating system kernel will soon be baked into Windows 10 and Chrome OS, as Microsoft and Google revealed at their respective developer conferences this week. Microsoft is overhauling its Windows Subsystem for Linux, which surprisingly debuted in the operating system three years ago. They already suffer from a minuscule user share, and developers may shift toward Windows and Chrome if the Linux kernels in those operating systems get the same job done.

Hence the rules of dialogue and debate started being codified by several authors, such as Gautama in his Nyāya Sūtra and Caraka (third century BCE) in his seminal Ayurveda work Caraka Saṁhitā. The first is known as vāda, which he defines as “that [discussion] which is based on proper epistemology, reasoning, and path, which is based on the five-fold technique of argumentation, which reaches a final conclusion that is consistent with the doctrine, and which is inclusive of the viewpoints of both discussants is known as “vāda” (Nyāya Sūtra 1.2.1). The second type of dialogue is known as jalpa (Nyāya Sūtra 1.2.2), which can be translated in this context as “debate”.

Most data network effects are really scale effects

Most discussions around data defensibility actually boil down to scale effects, a dynamic that fits a looser definition of network effects in which there is no direct interaction between nodes. Unlike traditional economies of scale, where the economics of fixed, upfront investment can get increasingly favorable with scale over time, the exact opposite dynamic often plays out with data scale effects: The cost of adding unique data to your corpus may actually go up, while the value of incremental data goes down! A practical framework for understanding the data journey

Minimum Viable Corpus

When most people talk about network effects, they focus on overcoming the bootstrapping or cold-start problem (colloquially called the “chicken-egg” problem) of acquiring enough early nodes to make the network useful for all nodes (and make the economics of the business competitive).

The staff of the program in West Virginia, two of those former employees said, now consists of Ms. Laucher’s brother and sister. Asked if this was the end of Mined Minds, Ms. Laucher wrote: “Absolutely not. Since the class in Beckley ended, Stephanie Frame has mostly stayed home.

Only six are focused on cell-based seafood, and three of them are based in California: BlueNalu is setting its sights on a variety of species, but especially those that cannot be easily farmed; Finless Foods is primarily focused on a bluefin tuna product; while the team at Wild Type is working on cell-based salmon. Few of these cell-based seafood companies are able to offer tasteable products at this point, says Jen Lamy, sustainable seafood initiative manager with Good Food Institute. Grown without brains, organs, skin or any sentience, it’s a product that may appeal to those who would normally opt for plant-based protein and — unlike some companies developing cellular meat — Cooperhouse says BlueNalu does not rely on fetal bovine serum to feed fish cells.

Denim icon Levi Strauss & Co. debuted garments made from a soft hemp-cotton blend in March, and head of innovation Paul Dillinger said he expects 100% cottonized-hemp products in about five years. Levi’s has found a way to make hemp fibers soft and able to blend with cotton, but in a way that uses significantly less water than the process used to turn hemp plants into a rough material. When Levi’s finds a way to make 100% cottonized-hemp clothing, “We’re going to go from a garment that goes from 3,781 L of fresh water, 2,655 of that in just the fiber cultivation,” Dillinger said, drawing from data collected by the Stockholm Environmental Institute.