Comment by ashleyn
4 hours ago
If you were wondering the same thing I am - it's not about skills loss, quality, and less about money spent. It's more about frontier AI shops dogfooding their own models.
4 hours ago
If you were wondering the same thing I am - it's not about skills loss, quality, and less about money spent. It's more about frontier AI shops dogfooding their own models.
If it’s anything like AWS there’s hundreds of people making bespoke software factory setups, enhanced interfaces for ai tools, spinning up 10 parallel review agents with the best model available, etc because the budget is basically unlimited.
Token maxing really is a thing if your token budget is unconstrained.
Tokenmaxxing is just the new pr-maxxing. Proxies truly are the root of all evil.
That sounds both very fun and very stressful.
Meanwhile https://www.reddit.com/r/GeminiAI/comments/1wh0qxq/google_fi...
This made me laugh https://www.reddit.com/r/GeminiAI/comments/1wh0qxq/comment/p...
Talking to my friends working there, they said they were surprised when that happened and they didn't find Claude quality to be that much better than Gemini when using agy. So maybe after all the issue is not mainly the model, but harness and custom tooling.
They give claude usage on antigravity and aren't them a investor on antrhopic?
What in the world is happening?
Ask Claude
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Life uhhh... finds a way.
I dunno, it could be about money, too. $100,000 budget per employee, per month. Why were they willing to spend that much on AI usage? I hope said employees also make that much in salary.
I think if you talk to LLMs and give feedback or openly say what works and what doesn't, you are essentially solving a captcha and produce accurate training data, while you pay for the token spend. I'd be a bit nervous with this lol.
Just one unsanitized input and you leak info. Or one hidden character and code may or may not belong to you anymore. Its very odd on many levels
Accurate training data?
At best you produce some noisy signals that are going to have a tiny impact if even that.
And that's on a personal plan where you didn't opt out of sharing usage data.
Business plans offer zero data retention. This is a non-issue.
These are companies famous for following the rules when it comes to handling other people’s data and IP after all, totally a non-issue and they would never violate contract law
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Dogfooding their own model ls and not letting their competitors use their data to train their.
Microsoft?
Copilot
That's not a model.
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I wonder why they allow it at all.
Like its a no brainer to force your employees to use your own models, then RL train them to be better.
Only if all you care about is developing models. I assume the rest of the business would rather just use whatever's best in class regardless of who made it, so I'm sure it's not that straightforward of a decision.
Or let them use Claude, track everything, and use that data to train your own models.
If you assume that noisy general usage data enables good RL, particularly compared to curated RL training sets.
I am not convinced that's the case.
if AI never happened there's like zero chance I would've ever used or noticed the usage of the word "dogfooding" lmao i hate this timeline
That's odd. I've been aware of that word for decades.
Ditto, it's been around for a decade or three, especially if we include longer phrase "eating your own dogfood" and not just the verbification.
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Same as "load-bearing", but I guess that depends on everyone's non/pre-swe background.
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Wikipedia has the introduction of the term "dogfood" to the corporate world as a Microsoft internal memo....
... in 1988.
https://en.wikipedia.org/wiki/Eating_your_own_dog_food
MS was famous for that. Seems since around .NET they have forgotten about it. Delivering and promoting toolkits to devs they don't use themselves.