👀 https://t.co/LCP1FmAcXu

Operation lipstick-on-a-planetary-pig has started.
REPEAT
Operation lipstick-on-a-planetary-pig has started. https://t.co/Hlio7Z7h2U

Operation lipstick-on-a-planetary-pig has started.
REPEAT
Operation lipstick-on-a-planetary-pig has started. https://t.co/6kje32FZcb

1/ What is going to happen to analysis firms like Gartner, IDC, or Forrester now that writing a research paper is becoming trivial?

2/ When actual open source large language models will be released (possibly next week), anybody will be able to fine-tune them with an infinite trove of vendor material and generate draft research instantly.

3/ Are clients still going to pay $100K / year (or more, for CIO-targeting subscriptions) for a subscription that gives you access to half-page documents (or 50)?

4/ As a former analyst, I know the difference that goes between a deeply-researched paper and a generated one, but I also know that very few research papers are deeply-research and the quality of the analyst varies immensely.

5/ Also, as a person that trained large language models with a team of ML engineers, I also know that you can do miracles when you fine-tune a foundation model. Generated research quality can be really high if you know what you are doing.

6/ Topic for a future issue of Synthetic Work.

The new issue of Synthetic Work is out, people.

This week’s Free Edition is titled Issue #0

Read it here: https://t.co/ZyCAjR0VPi https://t.co/M0H9pgzPCP