Thread by @giano

The ultimate recipe for success for #AI/#ML researchers in 7 easy steps:

Step 1 - Publicly praise and endorse an AI large language model released by your research team and designed to generate authoritative output while, in reality, it spits out absurd and/or dangerous nonsense.

Step 2 - Face brutal criticism while the aforementioned model is shut down in 48h, without ever retracting your endorsement.

Step 3 - Defend against high-profile, subject matter experts critics of your questionable standing by saying that they have never built/published anything of relevance.

Step 4 - Observe how aforementioned critics gain even more relevance and popularity for being right.

Step 5 - Let a month or so pass so that people get distracted/forget.

Step 6 - Never agree with the aforementioned critics but start mimicking their approach: criticize on daily basis OTHER COMPANIES' large language models for being inaccurate while NEVER, EVER, EVER mention again the disaster your own team has released and you have openly praised.

Step 7 - Bank on the short memory of the general public and achieve the goal of being perceived as very wise.

In my (very humble, in this case) opinion, no book can explain better certain dynamics we are seeing within the #AI community and the rivalry between leading researchers than "The Structure of Scientific Revolutions" (Thomas Kuhn).

If you have not read it, I highly recommend it.