Journal

10, or, ok, Maybe 3 things I hate about you.

What not to do.

November 3, 2025

From my LinkedIn Newsletter “Artificial, Done Artfully.”

October 21, 2025

Being disliked, even hated, is a proven way to boost your online profile, especially for a politician. I recall former Congresswoman Michelle Bachman, who reminds me of current vocalist Jasmine Crockett. They both call to mind what Von Clausewitz told Napoleon – to find your enemy’s weakest point, then train massive firepower against it till they break.

Bachmann in better days. She even ran for President. What?

None of this works very well if you do not protect your own flanks. While barking against Democratic taxes elevated Bachman to chief talking head on FOX News, she forgot that her business ran on big government checks. They will likely find another smoking gun with Jasmine.

J-wow II speaking up.

I believe both women would be more durable if they understood Autotune, metaphorically speaking. As one of the earliest AI technologies, Autotune fixes intonation errors and makes bad singers sound better.

If at first you don’t succeed, go deep.

Today, of course, AI can ameliorate anything. A congressional page could easily run Ms. Crockett’s utterances through a variety of tools to make her sound more soothing. If a firebrand really cared about longevity in the public sphere, they would do well to understand what is called Deep Reinforcement Learning.

Early attempts at harnessing human creativity through AI failed because most creative processes are unstructured and therefore unsuitable for Machine Learning. [1] While vocal intonations are easy to isolate and correct, in other words, human behavior is another thing.

Deep Reinforcement Learning smooths out this herky-jerky approach by “extracting weak annotation information from the input data, reinforced over several steps” [ibid. 2022] to learn from creative cacophony.

Autotune as moral hazard: The band Milli Vanilli, who lip synched their one hit, got caught, and had to return their Grammy.

I once used Antares software, for example, to give my peaky voice more presence. [2] Today, I give myself the full AI treatment through ChatGPT, allowing a supra intelligence to understand and correct my quirks.

Across my sites, books, and papers related to them, [3] [4] the more it understands my work, the more “semantic” insights it provides to strengthen my SEO. Many of the insights come from areas that my brain (in particular) is prone to overlook.

But there is a limit, which leads me back to Autotune, which allows singers without range to rule the world. It’s nice to have Sabrina Carpenter’s wooden voice patched up a bit, but I’d rather bring Joan Baez back from the past.

While it can fix things, AI cannot make people like you more; it can only make them hate you less. Unless you are a person or a brand that is already beloved, and making that happen takes a human touch.

Read more at: www.ccbirt.com

References:

[1] Anantrasirichai, N., Bull, D. Artificial intelligence in the creative industries: a review. Artif Intell Rev 55, 589–656 (2022).

[2] AutoTune: The Best Pitch Correction & Vocal Chain Plugins

[3] Birt, C. C. (2024). Awareness Without Advertising: Brand advocacy in the age of AI (2nd ed.). Kublach & Haller Books

[4] Deighton, J., Kravitz, L., & Shapiro, S. M. (2015). Awareness Without Advertising: Brand Awareness and the Effects of Media Impressions. Harvard Business School Working Paper No. 15‑021.