#garrulous

[unsolicited-opinions]

Your explainers are really long. Couldn't you just get to the point without all the background and links and sources?

Yeah, I could do that, but I'd be doing both of us a disservice.

We live in a time in which arguments are mostly made of tribalism and emotional resonance, and my radical thesis on this blog is that's bad for us.

Imagine for a moment that I do what you suggest. I take out all the relevant historical context, the defining of terms in their time and place, and simply state things to be true without providing sources.

Why should anyone believe me?

They shouldn't.

You shouldn't, either.

The amount of counterfactual nonsense and genuinely damaging falsehoods expressed with confidence here and elsewhere online are hurting all of us horribly. Viral disinformation and misinformation spread so well on social media because they're punchy and unsourced.

It shouldn't satisfy anyone to read opinions on the internet supported only by an assertion like "You can trust me, I'm a stranger on the internet writing under a pseudonym!"

That includes me.

YOU SHOULDN'T TAKE MY WORD FOR ANYTHING.

You should question every damn thing I write and demand sources for any claims you think can't be supported.

We all seem to know that "trust me, bro" is a huge red flag, but it's still the basis of most takes.

I'd rather take up more of your time than contribute to the confusion, anxiety, and distrust that sort of thing spreads.

I know I could use more editing. I go on too long, and many don't have the attention span for longer posts - but reading them is voluntary and so is following someone who writes like they're paid by the word.

I'm going to keep doing it this way as long as there are people who, like me, want to form their understandings of the world around us based on facts and reasoning, not on tribal alliances, social consequences, or vibes.

Sources and context are the difference between an informed discussion which respects its participants...and whatever the @#&* it is we're all doing on social media the rest of the time.

That's not worth your time. It's not worth mine, either.

We both deserve better, should demand better, and can do better.

[ixnai]

AI is not infallible. In the realm of artificial intelligence, the term “garrulous” takes on a new dimension. It refers to the verbose, often unchecked, nature of AI outputs that can lead to significant errors and biases. This is not a bug; it is a feature—a byproduct of the very algorithms that power these systems.

At the core of AI lies the neural network, a complex web of interconnected nodes designed to mimic the human brain. These networks are trained on vast datasets, absorbing patterns and correlations. However, they do not understand context or nuance. They are, in essence, statistical parrots, regurgitating information without comprehension. This leads to the garrulous nature of AI, where verbosity can mask inaccuracies and biases.

Bias in AI is a systemic issue. It stems from the data used to train these models. If the data is skewed, the AI will reflect those biases. This is not an anomaly; it is an inherent characteristic of machine learning. The algorithms are designed to find patterns, and if those patterns are biased, the AI will perpetuate them. This is why bias is not a bug, but a feature—a reflection of the data and the world it represents.

To mitigate these pitfalls, one must adopt a rigorous approach to data curation. This involves not only selecting diverse and representative datasets but also continuously auditing and refining them. Techniques such as adversarial training and bias correction algorithms can help, but they are not foolproof. The key is to maintain a vigilant, iterative process, constantly refining the model and its inputs.

Moreover, transparency is crucial. Understanding the decision-making process of AI systems can help identify and correct biases. Techniques like explainable AI (XAI) aim to shed light on the black box of neural networks, providing insights into how decisions are made. This transparency is essential for accountability and trust.

In conclusion, the garrulous nature of AI, with its propensity for bias and error, is a feature of its design. It is a reflection of the data and algorithms that drive it. To navigate these challenges, one must embrace a proactive, transparent approach, continuously refining and auditing AI systems. Only then can we harness the true potential of artificial intelligence, while avoiding its inherent pitfalls.

[daily-cool-words]

Today's word of the day is...

Garrulous

[Adjective]

Definition: Excessively talkative, especially on trivial matters.

Example Sentence: Jonah's niece was incredibly garrulous.

[jellyfishgold]

The scholars really gave effort in extracting laws from qur2ān and hadith

[moonshineyarrow]

I need a boy bestfriend to make out with me

[theyuniversity]

🗣💬💬💬 Looking for words to describe a talkative/wordy person? Try these:

garrulous

loquacious

verbose

diffuse

effusive

voluble

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[hardlyfatal]

2,834 words last night...

...toward a new Braime story, Man of the Hour, for a total of 13,003 so far. Hoping to finish it around 50,000 but that was my hope for Shoot the Moon, and it ended up 80,000, which was my hope for Desperado, which is already at 130,000 and likely to be 200,000 when it’s complete. 

[foxy-voxy]

#garrulous Adj | GAIR-uh-lus #lettering #brushlettering #handlettering #calligraphy #dailylettering #practice #wordoftheday #merriamwebster #wotd #pentelbrushpen #wordnerd #definitions #calligraphersofinstagram #heatherslettering #calligrapher