How to break the 'AI hype cycle' (mitsloan.mit.edu)

tl;dr look outside llm if your use case supports it.

Read like a sponsored content article for Akamai. For example, at Akamai, we use… blah blah

This is a great article, but sadly there's just too much cognitive dissonance in the ecosystem for critical thinking and worse it's not rewarded by the algorithms, so articles like this end up making far smaller splashes than the hype cycles.

Almost exactly a year ago, Goldman Sachs produced a report showing the investment in AI is untenable. They showed up with the receipts. It was quite good. They also gave a fare shake to what's working and not working in the space, but most people didn't read it.

https://www.goldmansachs.com/insights/top-of-mind/gen-ai-too...

Akamai CTO Robert Blumofe offers four tips for business leaders striving to foster AI fluency by empowering employees with the right tools and best use cases.

useful insights but definitely a PR article.

The article mentions "Akamai" 7 times to just say:

> Don’t overinvest in large language models

> Don’t let LLM success cloud your judgment

> Explore the world of AI beyond LLMs

> Let employees experiment

a.k.a. nuffing.

Reject LLM, embrace traditional keyword SEO?

The Sloan school again uses the sycophantic conductor meme for the dear business leaders, many of whom are entirely uncultivated and have never touched a classical instrument.

Regarding "AI", at least this CTO is cautious, but also says: “Most jobs at this point can benefit from AI.”

That is of course incorrect. I'm waiting for a CTO who dismisses "AI" outright. That is probably too dangerous in the current climate.

I don't think the current hype cycle ends until the next one begins.

Quantum computing is probably due for another round, or perhaps superconductivity.

Funny to see this on the front page right next to an announcement of a second model getting gold on IMO.

Watching anything slightly critical of AI be [flagged] on HN tells me AI is still overhyped.

Was it hype? The hype was insane pre LLMs and then LLMs came out indicating the hype was accurate.

Now the hype is insane again.