Media should be free to title their articles whatever they want without constant second-guessing
Readers should be free not to have their limbic system hijacked with linguistic patterns that smuggle in unstated premises
The solution to the paradox? Headline Neutralizer (TM) 🧵
How does it work?
Headline Neutralizer (TM) is a non-existent service that applies preset linguistic transformation rules designed to retain explicit meaning (which media is liable for) while silencing implicit meaning (which media is not liable for)
Let's try an example:
The Independent recently published this headline:
"The Late Show viewers call out Jon Stewart for peddling ‘harmful’ lab leak coronavirus theory"
Let's apply some transformation rules and see what happens
When referring to "viewers", readers may assume it refers to a majority of viewers. This isn't actually claimed. As such, we can clarify to:
"Some viewers of The Late Show call out Jon Stewart for peddling ‘harmful’ lab leak coronavirus theory"
Rule 2: Neutralize Emotive Conjugation
The choice of words like "peddling" and "call out" can smuggle in hidden assumptions of guilt. We can clarify to:
"Some viewers of The Late Show claim Jon Stewart is promoting ‘harmful’ lab leak coronavirus theory" en.wikipedia.org/wiki/Emotive_c…
Rule 3: Scientific Correctness
The word "theory" in popular use conflicts with scientific usage in which "theory" carries the highest evidence standard. We can clarify to:
"Some viewers of The Late Show claim Jon Stewart is promoting ‘harmful’ lab leak coronavirus hypothesis"
Rule 4: Clear quote attribution
Single-word quotes can save space, but can imply endorsement of the claim when quickly read. We can clarify to:
"Some viewers of The Late Show claim Jon Stewart is promoting the lab leak coronavirus hypothesis which one says is 'harmful'".
Rule 5: Narrow down quantifiers
If we are allowed to dip into the article text, we see that the number of viewers quoted is four. We can clarify to:
"Four viewers of The Late Show claim Jon Stewart is promoting the lab leak coronavirus hypothesis which one says is 'harmful'".
Rule 6: Specify Harm
The word "harmful" can be broad and subjective, so the type and target of harm should be made explicit
"Four viewers of The Late Show claim Jon Stewart is promoting the lab leak coronavirus hypothesis which one says is 'harmful' to an unspecified group".
In short, we went from:
"The Late Show viewers call out Jon Stewart for peddling ‘harmful’ lab leak coronavirus theory"
to:
"Four viewers of The Late Show claim Jon Stewart is promoting the lab leak coronavirus hypothesis which one says is 'harmful' to an unspecified group".
While character count grew, the second headline, at a glance, implies far less than the first. Also, once the hidden layers are peeled off, the title sounds hollow. Nobody doubts that Jon Stewart promoted the lab leak hypothesis, so the largest part is not even newsworthy.
It's only the "harmful" part that is interesting, and there doesn't seem to be any detail offered as to who was harmed and in what way.
Headline Neutralizer (TM) should not significantly affect neutral titles. For instance "Jon Rahm wins US Open" would be untouched.
To be clear, Headline Neutralizer (TM) does not exist yet, but something like it is not technically infeasible, either using traditional natural language processing techniques or more modern Deep Learning methods.
I increasingly see that the situation as it stands isn't sustainable. Our emotional centers respond to headlines as if they came from a local source with skin in the game (the only kind, historically), when they actually come mostly from remote sources optimizing for attention.
That source is only minimally responsible for the quality of the information shared, and even less so for premises implied but not stated. We need a defense layer between us and the internet that corrects for our evolutionary firmware's outdated assumptions.
Meat vs algorithm is not a fair fight. This is an arms race but one side is not yet arming at all. We must fight algorithms with algorithms.
Is anyone aware of any existing products that fill this niche of a defense layer between the human and the big bad internet?
I suppose the various adblock / tracker remover plug-ins, as well as browser privacy modes are one way in which we defend ourselves from various classes of threats, including attention highjacking, so it's worth mentioning on this list.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
I can target by all sorts of demographic characteristics: location, language, device, age, and gender. I can target by audience: interests, keywords, movies...🧵
I can literally make a list with the people I want to target, and buy ads to target them. So... what if I target myself?
Like, literally, make a list, add myself to it, and pay twitter top dollar to show me a white banner ad. Or a kitten or something. If that works, I would be paying twitter an amount to *not* show me ads, but replace them with neutral/awwww content. Almost like YouTube Premium.
So, not a doctor here, and I know nothing about Ivermectin. But I have a few questions for anyone willing to engage. I promise I won't press too hard, I appreciate anyone trying to honestly engage.
1. What would have to be true for 60 controlled trials, 30 of those randomized, no matter the size, to all be pointing in the same direction? What's our alternative explanation here?
2. What's the rationale for the FDA controlling use of a substance that's no more dangerous than certain kitchen spices? Forget effectiveness, given that we know it's very well tolerated, what's the rationale for not allowing people to make their own choices here?
Take people who are supposed to be our foremost independent thinkers, put them in a structure that suppresses independent thought, and let's see what happens.
I'm increasingly getting convinced that we need a truth-accumulation structure that is outside and beside what is called science today. And to get this out of the way, I've got a PhD and a double-digit H-index.
I started a startup rather than continuing in academia because it was clearly the better way to contribute to the advancement of knowledge. I just could not see how chasing grants and doing admin work, with a break for teaching, could possibly lead to new knowledge found
This is a 🧵collecting signs of the coming Recursively Self-Improving AI Apocalypse.
I've recently started to worry that the people supposed to be looking out for this stuff may be asleep at the wheel, so it's worth at least a twitter thread, you know, just in case.
The first "oh fuck" moment recently: GPT-f, using deep learning on automated theorem proving. In the words of the authors: "the first time a deep-learning based system has contributed proofs that were adopted by a formal mathematics community" arxiv.org/abs/2009.03393
Second such moment, Google using AI to improve its AI chips. Importantly, the resulting designs were very different, suggesting much room for improvement. If only they had some better TPU chips to do it on... theverge.com/2021/6/10/2252…
@garyblack00 I'm starting to believe you're not an honest broker. Reminder that I have challenged you to a $10k bet, loser donates to charity of winner's choice, about whether Tesla will have a demand problem if it doesn't advertise or do PR by 2025. Easy money, right?
VIDO-InterVac, the new employer of Angela Rasmussen, enforcer of the anti-lab-leak narrative, lists not one but 5 obviously China-linked organizations as funding contributors for 2019-20, their lastest report. Amounts not disclosed. Has this conflict of interest been declared?
Interestingly, they make it hard to get clarity. Their about>partners page is supremely uninformative but points to the annual reports. The last annual report simply has this alphabetic list on its last page, with no further info or amounts contributed. vido.org/assets/upload/…
As a reminder, Dr Rasmussen was previously at the Center of Infection and Immunity at Columbia University, the center run by another China-linked researcher and anti-lab-leak combatant, W. Ian Lipkin.