So, I want to talk about how sexual harassment and fair pay are linked at Google (and beyond), because I think that's an angle that isn't being highlighted enough in the coverage of these walk-outs. I'm going to frame it largely around my personal experience there. Thread.
When Sergey Brin himself is openly having relationships with employees, it creates an environment where exec men, on down to men in senior management, think it's fine to treat the office like their harem.— Kelly Ellis (@justkelly_ok) October 30, 2018
I'll also point out it's forbidden per Google's own training.
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Like, a pretty narrow slice of feminists actually endorse and support corporate feminism, they’re just white, nondisabled, straight, cis, and noisy so their voices have a bigger reach.
So if your impression is that ‘feminism’ gave her a ‘free pass’ maybe you should question your overall impression of feminism rather than continuing to centre a handful of people as ‘thought leaders’ or whatever.
Critics within feminism have been doing this work for a long time and have been getting shat on it for about as long and I'm tired of seeing them erased. But what do I know — I am, after all, not a feminist.
But I WILL say, from my not-a-feminist perspective, that people who aren’t feminists who are criticising feminism should maybe understand the movement more deeply beyond a handful of high profile celebrity feminists.
In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.
Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.
Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")
Charge more. Charge more still. Go on.
The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.
Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.
but now I get that option in the titlebar of "search twitter self-search" which is the name of the search"
if I just type "foone blah" now...
it ignores the search I have had defined for years and just googles it.
and this is definitely on purpose because they didn't just break it, they changed it. it's now "foone
there doesn't seem to be an option to make this stop and get the old behavior back :(
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
THREAD: Can you start learning cutting-edge deep learning without specialized hardware? \U0001f916— Radek Osmulski (@radekosmulski) February 11, 2021
In this thread, we will train an advanced Computer Vision model on a challenging dataset. \U0001f415\U0001f408 Training completes in 25 minutes on my 3yrs old Ryzen 5 CPU.
Let me show you how...
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
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But—*but*—the blowback on Warren is useful as a reminder that facts, science, and really truth of any kind is now anathema to the GOP.
2/ If you're online trying to convince a Trumpist of *anything*—I mean *anything*—stop right now.
The Trumpists' reaction to Warren's DNA test—a cacophony of fact-free insanity about race and DNA and even just *the bare facts of what happened*—tells you you're wasting your time.
3/ I don't see the point in baiting Trumpists, or insulting them, or calling attention to their madness on a daily basis. These people are fundamentally unserious about truth, discourse, and anything resembling a community of ideas. So:
1) Ignore them—completely.
4/ I don't always live up to that standard, but I'm *trying*. I'm *trying* to ignore as beneath dialogic significance those who say "most people" have Native American ancestry, or who can't read basic studies to understand Warren's DNA test, or who say Trump never made a bet, &c.
5/ Trump wants to call Warren "Pocahontas" because he's a racist, wants to appeal to racists, and his cult-like following so ignores *everything bad he does* that they think that, had she lied—she didn't—*this* (this!) would be worse than anything Trump has done.
Reliable source tells me Withdrawal Deal text contains
- No unilateral exit from backstop
- Large annexe on level playing field
.... after reporting this on @SkyNews I get a call from a different senior source that this is “spot on” and further that the Attorney General Geoffrey Cox has not pulled his punches in confirming in legal advice there is “no unilateral exit” from backstop ...
... furthermore I’m told (and this chimes with excellent Times splash this morning re Weyand) that the future partnership then takes its starting point as the activated backstop - ie UK-wide customs union-style arrangement and level playing field.
Understand that a ministerial briefing on the draft Withdrawal Agreement meant to drum up support from some trade organisations due tonight has now been postponed
How did you get your first customers for WIP? How did you grow BetaList’s traffic? Etc.
Makers are looking to reverse-engineer success. I see it everywhere.
I don’t think it works that way and the answers to those questions are mostly useless. 💥
I have built dozens of different products over the last couple of years. The vast majority failed. 😭
Surely if I know the answers to these questions, but still fail over and over again, these answers aren’t that useful. 🤷♀️
So what’s a better question to ask? 🤔
99.9% of the questions I receive are about the products that did well. In a way that makes sense, because we quickly forget about those that didn’t succeed.
🧠 This is known as survivorship bias.
Focusing on what survived, while ignoring what made it survive in the first place.
The real question, what you really want to know, is this:
What makes @WIP, @BetaList, and to some extent @AllStartupJobs succeed where my countless other attempts failed?
What separates a failed product 👎 from a successful product 👍?
Honestly, I don’t know. I wish I did.
It’s like Steve Jobs said “I’ll know it when I see it.” 👀
Same is true when we make products. We don’t know upfront what will work. But once we see an inkling of a product that does have potential, it’s not that hard to spot.
So I went to her campaign website and took that web address and looked through the internet archive. When I went back to 2017, it was not her website, it belonged to the group "Brand New Congress."
Here's what the web address https://t.co/Uhz2q4Dpll looks like now:
Here's what the same web address looked like in late 2017:
What's “Brand New Congress?” BNC is a group of Bernie Sanders staffers who got together, decided to make the 2018 midterms all about Bernie policies by taking his ideas & finding 400 Bernie carbon copies to dump into Congressional & other races, creating a 400 headed Bernie.