1155
Twitter
Also am insisting that other people also look at them
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8 hours ago
I'm John Carreyrou, author of Bad Blood, the book about the Theranos scandal. Ask me anything. : IAmA
“The next Theranos will be a self-driving car operation” strikes me as obviously correct
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12 hours ago
(429) https://twitter.com/i/web/status/1010090835461976064
Bloke on Barnsley station shouts across the line to his mate:
‘Heyop! Thar on’t wrong platform’
His mate shouts
‘Th…
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yesterday
Twitter
Delete your accounts. They don't deserve your business at this point.
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yesterday
Twitter
I made an list for interpretability (, ). Help me update and curate it!…
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yesterday
Twitter
Is probabilistic programming a real thing? Yes, it's a real thing! The most prominent examples of tech companies us…
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yesterday
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1 of 2: the headline is a bit hyperbolic but i want to highlight what a difficult problem it is for designing civic…
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2 days ago
Twitter
imo? scraping data from LinkedIn, a publicly accessible directory for which the main purpose is to help users promo…
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2 days ago
Twitter
I can’t believe it never dawned on me to respond to code requests with “I’m happy to help to the best of my ability…
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2 days ago
Twitter
kick all the white nationalists off your fucking website
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3 days ago
(429) https://twitter.com/i/web/status/1009084654928920576
Ironically the topic of discussion for Friday was meant to be 'data for good'. We need to wake up to the fact that…
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3 days ago
(429) https://twitter.com/i/web/status/1009084650059452416
In light of the news of MSFT's relationship with ICE, I am withdrawing from this Friday's event, wh…
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3 days ago
(429) https://twitter.com/i/web/status/1009082413589385216
Remedially produced remix of Britney Spears’s’s’s underrated classic “how I roll” . Pretty good if you’re on the to…
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3 days ago
Suspended – Medium
I scraped LinkedIn for people that work for ICE:
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3 days ago
Twitter
this is the play when its 90+
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4 days ago
Twitter
I decided to implement what I think I want… [many hours and just a few lines of code later]:
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4 days ago
Twitter
It’s done. In an email to the newsroom, Patrick Soon-Shiong confirms that the sale with Tronc is complete. For the…
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4 days ago
Twitter
it’s 90 degrees out. this is your moment, my guy. if not now, when ?
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5 days ago
Thinking About Retirement? Consider Working a Little Longer - The New York Times
Say you are 36 and plan on retiring in 30 years. You are already saving, but realize that you will need more money. You can increase your savings by 1 percent every year until you are 66, or extend your working life by three to six months. Those few extra months on the job are likely to raise your retirement income by the same amount as those 30 years of extra savings.

But it suggests that retirement planning may not be focusing sufficiently on a basic truth: As pensions vanish and the stock market gyrates, Social Security remains the most stable pillar in most people’s retirement. Increasing annual Social Security income by working longer — optimally, until at least age 70 — will improve financial security more than anything else most people can safely accomplish.

But, Professor Shoven said, “Social Security is a very important, and often the most important, source of retirement income for 85 percent of the people in the United States, and that’s a conservative estimate.”
In one hypothetical case on the official Social Security website, for example, monthly benefits rise 76 percent through delaying retirement from age 62 to 70.
usa  retirement  investments 
6 days ago
The Afro-Pessimist Temptation
Daryl Pinckney reviews We Were Eight Years in Power: An American Tragedy by Ta-Nehisi Coates
racism  history  20c  book  review 
26 days ago
Comparing Sentence Similarity Methods
Word2vec embeddings are a safer choice than GloVe embeddings.
Although an unweighted average of the word embeddings in the sentence holds its own as a simple baseline, Smooth Inverse Frequency is usually a stronger alternative.
If you can use a pre-trained encoder, pick Google's Sentence Encoder, but remember its performance gain may not be all that spectacular.
nlp  word2vec  neuralnetworks 
6 weeks ago
The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About It - Andrew Gelman, 2018
The strategy of run-a-crappy-study, get p less than .05, come up with a cute story based on evolutionary psychology, and PROFIT . . . well, it does not work anymore. OK, maybe it still can work if your goal is to get published in PPNAS, get tenure, give Ted talks, and make boatloads of money in speaking fees. But it will not work in the real sense, the important sense of learning about the world.
statistics 
6 weeks ago
On Machine Learning and Programming Languages
Machine learning models have become extremely general information-processing systems that build ever higher-level and more complex abstractions; recurrence, recursion, higher-order models, even stack machines and language interpreters, all implemented as compositions of basic components. ML is a new programming paradigm, albeit a strange one that’s heavily numerical, differentiable and parallel. And as in any engineering field, the tooling available will have a profound impact on the scope and quality of future work.
programming  machinelearning 
6 weeks ago
The cult of Mary Beard | News | The Guardian
For Beard, the very point of being an academic in the public sphere is the ability to be a kind of intellectual awkward squad – unlike elected politicians, who inevitably seek popularity. “The right to be unpopular is important – that’s what academic freedom is about,” she said.
Being a classicist helps this way of thinking. The point of the discipline – the study of people at once familiar, since they have haunted western culture for so long, and at the same time deeply alien – is to “turn the focus on you, and make you an anthropologist of yourself”. It is to make us seem strange to ourselves.
Classics  tv  cambridge  media  uk 
8 weeks ago
Don't Be Evil - Fred Turner on Utopias, Frontiers, and Brogrammers
Engineering culture is about making the product. If you make the product work, that’s all you’ve got to do to fulfill the ethical warrant of your profession. The ethics of engineering are an ethics of: Does it work? If you make something that works, you’ve done the ethical thing. It’s up to other people to figure out the social mission for your object. It’s like the famous line from the Tom Lehrer song: “‘Once the rockets are up, who cares where they come down? That's not my department,’ says Wernher von Braun."

About ten years back, I spent a lot of time inside Google. What I saw there was an interesting loop. It started with, “Don't be evil.” So then the question became, “Okay, what's good?” Well, information is good. Information empowers people. So providing information is good. Okay, great. Who provides information? Oh, right: Google provides information. So you end up in this loop where what's good for people is what's good for Google, and vice versa. And that is a challenging space to live in.

Engineers try to do politics by changing infrastructure. That’s what they do. They tweak infrastructure. It’s a little bit like an ancient Roman trying to shape public debate by reconfiguring the Forum. “We’ll have seven new entrances instead of six, and the debate will change.” The engineering world doesn’t have a conception of how to intervene in debate that isn’t infrastructural.

At Burning Man, what you’re rehearsing is project-based collaborative labor. Engineers flowing in from the Valley are literally acting out the social structures on which Valley engineering depends. But they can do something at Burning Man that they can't do in the Valley: they can own the project. They can experience total “flow” with a team of their own choosing. In the desert, in weirdly perfect conditions, they can do what the firm promises them but can’t quite deliver.
tech  interview  history  politics  california  1960s  1970s 
8 weeks ago
SideNet and Refresh - Extractive Summarization Systems
This is a demo of SideNet and Refresh, our two neural extractive document summarization systems.

SideNet builds the summary by extracting relevant sentences from the document by attending side information such as title and captions in the document. SideNet’s TensorFlow source code can be found on github.

Refresh frames extractive summarization as a sentence ranking task and uses a novel training algorithm which globally optimizes the ROUGE evaluation metric through a reinforcement learning objective.
summarization 
8 weeks ago
[1804.04589] A Survey on Neural Network-Based Summarization Methods
Automatic text summarization, the automated process of shortening a text while reserving the main ideas of the document(s), is a critical research area in natural language processing. The aim of this literature review is to survey the recent work on neural-based models in automatic text summarization. We examine in detail ten state-of-the-art neural-based summarizers: five abstractive models and five extractive models. In addition, we discuss the related techniques that can be applied to the summarization tasks and present promising paths for future research in neural-based summarization.
summarization 
8 weeks ago
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