This is an interesting idea, I think clickbait titles are one of many problems with our engagement-based social media tools today. For the sake of experimentation and transparency, here's the suggested titles from ChatGPT 4. They seem to be more descriptive and accurate overall.

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Possible alternative titles that better match the article’s content:

How Phishers Are Using SendGrid to Target SendGrid Users with Political Bait

– Accurately reflects the mechanism (SendGrid abuse), the audience, and the novel political/social-engineering angle.

SendGrid Account Takeovers Are Fueling a Sophisticated Phishing Ecosystem

– More technical / HN-native framing, avoids culture-war implications.

Phishception: Politically Targeted Phishing Sent Through Compromised SendGrid Accounts

– Highlights the core insight and the self-reinforcing nature of the attack.

There is a chance that the title here was intentionally worded to answer a question people are likely to search for, then actually answer their concerns.

I've been thinking about building a browser extension that turns clickbait headlines into factual titles.

"Why is SendGrid emailing me about supporting ICE?" becomes "Phishing Campaign Targets SendGrid Users via Compromised Accounts and Politically Charged Bait"

I think it would be more time than I'd like to commit though.

I don't like LLMs much, though I also don't really care much either, and I don't trust any models to get the content nuance right. But I'd still welcome it if it helps a little between the tons of clickbait or just straight up incorrect or sensationalist titles.

Mods regularly rewrite titles to improve clarity and this is probably a good candidate.

That's a pretty good idea as long as humans could review/approve.