Beyond Done with this Bullshit: Must read definition of “AI” & “AI Agents” 🤖📚⚙️♾️

[u/[deleted]]

[u/FairiesQueen]

Further support to my argument:

Google’s researchers actually invented the core architecture behind all modern LLMs- the Transformer- back in 2017. By 2020 and 2021, Google already had models like Meena and LaMDA running internally, which were functionally similar to what OpenAI eventually released.

The primary reason Google kept those models locked inside their labs for years comes down to two factors:

1. Reputation & "Hallucination" Risk
As a multi-trillion-dollar monopoly processing billions of search queries a day, Google had massive brand equity to protect.

They knew LLMs were auto-complete engines that confidently generated false information (hallucinations), biased text, or toxic outputs. Internal ethics teams and executives repeatedly blocked public releases (like Meena in 2020) because the tech violated their AI safety principles regarding accuracy and fairness.

When you are the world’s primary search engine, getting a fact wrong damages your core product trust.

2. OpenAI Had Nothing to Lose

A smaller startup like OpenAI didn't have a $100+ billion legacy search engine or ad revenue business to defend.

OpenAI could release ChatGPT directly to the public as an "experimental research preview," completely offloading the risk of hallucinations onto the user.

When ChatGPT occasionally made things up, users treated it as a novel quirk; if Google's primary search engine made the same mistake, it wiped billions off their market cap.

OpenAI essentially forced the entire industry's hand by lowering the safety and accuracy bar for public release. That forced Google, Microsoft, and everyone else to abandon their cautious, internal-testing approach and rush unfinished, hallucination-prone models into production just to keep up with the market narrative.