OpenAI’s goblin problem was real

Plus: Google adds 25M paid subscriptions

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Hello, Prohuman

Today, we will talk about these stories:

  • The strange reward behind AI tics

  • Google’s subscriptions keep climbing

  • AWS is spending hard on AI

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OpenAI found the goblins in the rewards

Image Credits: OpenAI

A tiny word choice turned into a model behavior problem.

OpenAI says GPT-5.1 started using “goblin” 175% more after launch, with “gremlin” up 52%. The trail led to its old Nerdy personality, which made up 2.5% of ChatGPT responses but 66.7% of goblin mentions.

This is the part that matters. A style reward meant to make one mode playful ended up teaching the model a habit that spread outside that mode.

I think OpenAI is right to treat this as more than a funny bug, because it shows how small rewards can create durable language tics across training runs. The physical detail is almost silly: employees kept seeing the word pop up in Codex, like a sticky note left on the screen.

The fix was direct: retire Nerdy, remove the reward signal, and filter creature words from training data. The harder question is how many less obvious habits are already being rewarded without anyone noticing.

Google’s subscription push is working

Google added 25 million paid subscriptions in one quarter.

Alphabet says it now has 350 million paid subscriptions across its services, up from 325 million in Q4 2025. The growth came mainly from YouTube and Google One, where advanced Gemini features are now part of the bundle.

The awkward part is YouTube. Its ad revenue still grew 11% year over year, but $9.88 billion missed Wall Street’s $9.99 billion expectation.

I think this is less a YouTube weakness than a business model shift becoming visible in the numbers. A viewer who taps into Premium on a phone at night may be more valuable over time, even if that choice trims ad revenue today.

Google is also keeping Gemini numbers vague, which says something. Paid enterprise Gemini usage rose 40% quarter over quarter, but without a base number, it is hard to know how meaningful that really is.

Subscriptions are giving Google another growth lane, but investors still need proof that AI is pulling its own weight.

AWS growth now comes with a cash squeeze

Amazon’s AI boom is showing up in both revenue and bills.

AWS sales rose 28% year over year to $37.6 billion, its fastest growth rate in 15 quarters, according to Amazon CEO Andy Jassy. He said AWS now has an AI revenue run rate above $15 billion, compared with AWS’s $58 million run rate three years after launch.

The catch is physical. Amazon has to buy land, power, buildings, chips, servers, and networking gear before it can turn that demand into revenue.

I think this is the clearest version of the AI infrastructure tradeoff right now. The companies selling compute are winning, but they are also locking themselves into years of heavy spending.

That is already hitting cash flow. Amazon said trailing twelve-month free cash flow fell to $1.2 billion from $25.9 billion a year earlier, driven largely by a $59.3 billion increase in property and equipment purchases.

Investors may accept that while AWS is accelerating. The question is what happens if AI demand cools before the bills do.

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