When we say that "an algorithm is biased" we usually mean, "biased people made an algorithm." This explains why so much machine learning prediction turns into phrenology.

1/

Researchers with phrenological delusions ask machines to find statistical correlates of personalities or emotions, and machines dutifully provides them. It's high-stakes, machine-human collaborative apophenia, detecting patterns where none exist.

https://t.co/2b0IkQrI62

2/
Regrettably, this junk science gets published in respected journals. In 2017, @nature published a study by Stanford's Michal Kosinski claiming that machine learning could detect the facial correlates of homosexuality, creating an alleged AI gaydar.

3/
Unsurprisingly, Kosinski's study spectacularly failed to replicate. But as is so often the case, the blockbuster finding gets all the press, the careful replication work that calls it into doubt is roundly ignored.

https://t.co/J4rd6nLA4n

4/
Kosinski hasn't given up on AI phrenology. His lab's latest paper (published by Nature...again!) claims that he can detect political affiliation from social media photos.

https://t.co/kNPJ4vOwEr

5/
Spoiler: he can't.

What his system is most likely detecting is certain conventions in poses and expressions that are used in different political subcultures. Resting Karen face, basically.

6/
Unfortunately, this claim is being credulously reported in the tech press as true, even as the writer notes that this ML system barely outperforms random chance.

https://t.co/z1nkFFod3H

7/
Scientific racism has been with us for centuries. It's enjoying a renaissance today, driven in part by the neophrenologists of the ML world. They are the modern descendants of the caliper-wielding eugenicists of yore.

8/
To understand the genomic science that refutes all of this nonsense, you can read @AdamRutherford's brilliant, short, witty, vastly informative book HOW TO ARGUE WITH A RACIST. You'll be glad you did.

https://t.co/bPO3y5CzIX

9/
Image:
Cryteria (modified)
https://t.co/ICebVcdH1f

CC BY:
https://t.co/5YJhpDj3vT

eof/

More from Cory Doctorow #BLM

I've just read one of the most lucid, wide-ranging, cross-disciplinary critiques of cryptocurrency and blockchain I've yet to encounter. 1/


It comes from David "DSHR" Rosenthal, a distinguished technologist whose past achievements including helping to develop X11 and the core technologies for Nvidia.

https://t.co/tkAMShno4k 2/

Rosenthal's critique is a transcript of a lecture he gave to Stanford's EE380 class, adapted from a December 2021 talk for an investor conference. 3/

It is a bang-up-to-date synthesis of many of the critical writings on the subject, glued together with Rosenthal's own deep technical expertise. He calls it "Can We Mitigate Cryptocurrencies' Externalities?"

The presence of "externalities" in Rosenthal's title is key. 4/

Rosenthal identifies blockchainism's core ideology as emerging from "the libertarian culture of Silicon Valley and the cypherpunks," and states that "libertarianism's attraction is based on ignoring externalities."

This is an important critique of libertarianism. 5/
Today's Twitter threads (a Twitter thread).

Inside: Criti-Hype; Right to Repair is back for 2021; The free market and rent-seeking; and more!

Archived at: https://t.co/pXnzoWKJn2

#Pluralistic

1/


Criti-Hype: Tech bros will settle for "evil genius."

https://t.co/OyiM1vUS8Y

2/


Right to Repair is back for 2021: Will Apple sabotage this one too?

https://t.co/3gcyEZQWfk

3/


The free market and rent-seeking: Unauthorized bread and poor doors.

https://t.co/7Ob6AdmkDz

4/


#10yrsago Diane Duane’s crowdfunded publishing experiment finally concludes https://t.co/qsRnZxiL8b

#10yrsago Inside Sukey, the anti-kettling mobile app https://t.co/puGNKw5XgF

5/

More from Tech

"I really want to break into Product Management"

make products.

"If only someone would tell me how I can get a startup to notice me."

Make Products.

"I guess it's impossible and I'll never break into the industry."

MAKE PRODUCTS.

Courtesy of @edbrisson's wonderful thread on breaking into comics –
https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.


There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.

You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.

But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.

And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.

They find their own way.
One of the best decisions I made during a very turbulent 2020 was to leave conventional coding behind and embrace the #nocode movement. @bubble made this a reality. Although my own journey thus far is premature, I’ve learned a lot so here’s a power thread on....


‘How I created @buildcamp sales funnel landing page in under 2hours’.

Preview here 👇

https://t.co/s9P5JodSHe

Power thread here 👇

1. Started with a vanilla bubble app ensuring that all styles and UI elements were removed. Created a new page called funnel and set the page size to 960px as this allows the page to render proportionately on both web and mobile when hitting responsive breakpoints.


2. Began dropping elements onto the page to ‘find the style’. These had to be closely aligned to our @buildcamp branding so included text, buttons and groups - nothing too heavy. Played around with a few fonts, colors and gradients and thus pinned down the following style guide.


3. Started to map out sections using groups as my ‘containers’ to hold the relevant information and imagery needed to pad out the sales pitch. At this point, they were merely blocks of color #ff6600 with reduced opacity set to 5% to ease page flair.

You May Also Like

1/“What would need to be true for you to….X”

Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?

A thread, co-written by @deanmbrody:


2/ First, “X” could be lots of things. Examples: What would need to be true for you to

- “Feel it's in our best interest for me to be CMO"
- “Feel that we’re in a good place as a company”
- “Feel that we’re on the same page”
- “Feel that we both got what we wanted from this deal

3/ Normally, we aren’t that direct. Example from startup/VC land:

Founders leave VC meetings thinking that every VC will invest, but they rarely do.

Worse over, the founders don’t know what they need to do in order to be fundable.

4/ So why should you ask the magic Q?

To get clarity.

You want to know where you stand, and what it takes to get what you want in a way that also gets them what they want.

It also holds them (mentally) accountable once the thing they need becomes true.

5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”

Multiple responses to this question are likely to deliver a positive result.