My first question to OpenAI’s new deep research that is a PhD level researcher powered by the new o3 model is:

“How do I fine tune DeepSeek r1”

I’ve heard people sometimes refer to OpenAI’s meteoric AI progress as a consequence of possessing the “mandate of heaven”.

DeepSeek’s CEO Liang Wenfeng intentionally took aim at that very notion by open sourcing R1.

DeepSeek is quickly falling off in web search traffic while ChatGPT remains steady.

Wondering if the rate limiting turned off users or whether the novelty quickly wore off.

DeepSeek’s poetry is something else.

Can’t tell if it’s ChatGpt fatigue or if DeepSeek’s evaluation by experts outside of computer science made a big difference.

A lot has been said about App Store rankings but web search growth for DeepSeek is also stunning.

Not financial advice, but did DeepSeek just pop the supposed AI bubble?

looks like the next global frontline for a major geopolitical conflict is our smartphones..

the reported overnight implosion of silicon valley because of deekseek r1 is overblown in my view.

this is actually a massive opportunity for the average startup. only a few are asking the right follow up questions:

DeepSeek app hit number 9 on the App Store.

A stunning rise in a market dominated by ChatGPT for so long. I just hope people are practicing good opsec when using the app.

Disagree with this take. If the scaling laws hold, and intelligence levels of bigger models are unbounded, there will always be demand for higher tiers of intelligence.