Before Google, web search was a toxic stew of conflicts of interest. It was impossible to tell if search results were paid ads or the best possible results for your query.

Google changed all that, and put a clear wall between organic results and ads. They consciously structured the company like a newspaper, to prevent the information side from being polluted and distorted by the money-making side.

Here's a snip from their IPO letter [0]:

Google users trust our systems to help them with important decisions: medical, financial and many others. Our search results are the best we know how to produce. They are unbiased and objective, and we do not accept payment for them or for inclusion or more frequent updating. We also display advertising, which we work hard to make relevant, and we label it clearly. This is similar to a well-run newspaper, where the advertisements are clear and the articles are not influenced by the advertisers’ payments. We believe it is important for everyone to have access to the best information and research, not only to the information people pay for you to see.

Anthropic's statement reads the same way, and it's refreshing to see them prioritize long-term values like trust over short-term monetization.

It's hard to put a dollar value on trust, but even when they fall short of their ideals, it's still a big differentiator from competitors like Microsoft, Meta and OpenAI.

I'd bet that a large portion of Google's enterprise value today can be traced to that trust differential with their competitors, and I wouldn't be surprised to see a similar outcome for Anthropic.

Don't be evil, but unironically.

[0] https://abc.xyz/investor/founders-letters/ipo-letter/default...

I use OpenCode and I made an "architect" agent that uses Opus to make a plan, then gives that plan to a "developer" agent (with Sonnet) that implements it, and a "reviewer" agent (Codex) reviews it in the end. I've gotten much better results with this than with straight up Opus throughout, and obviously hit the limits much less often as well.

You may not like this sources, but both the tomato throwers to the green visor crowds agree they are losing money. How and when they make up the difference is up to speculation

https://www.wheresyoured.at/why-everybody-is-losing-money-on... https://www.economist.com/business/2025/12/29/openai-faces-a... https://finance.yahoo.com/news/openais-own-forecast-predicts...

Maybe on the API, but I highly doubt that the coding agent subscription plans are profitable at the moment.

Could you substantiate that? That take into account training and staffing costs?

That is the big question. Got reliable data on that?

(My gut feeling tells me Claude Code is currently underpriced with regards to inference costs. But that's just a gut feeling...)