Fangda @_fangda
rewriting tomorrow | past lives: @GoogleLabs @Athletics linkedin.com/in/fangdali San Francisco, CA Joined January 2014-
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talked to another great team today who ripped out their ai framework the story is the same every time -- most of the value of an abstraction is abstracting across LLMs the rest eventually weighs you down
What a finish! Gemini 2.5 Pro just completed Pokémon Blue!  Special thanks to @TheCodeOfJoel for creating and running the livestream, and to everyone who cheered Gem on along the way.
Two biggest shows of the year
I can't wait to see AlphaZero-0K, the AI that beats you with weakest possible moves in order to minimize the amount of training data one can extract from its moves.
Everyone thought the spice was the GPUs when it was the data all along. This is why folk don't let you know what data their LLMs are based on
this contrarian thing I keep repeating in my "LLMs in 2024" lectures – surprisingly hard to get this message across
this is correct. it would triple the operational costs of Spotify and other streaming platforms before being passed on to consumers (who should have been paying more for music in the first place) but will cancel their subscription, turn to piracy and render streaming insolvent
this is correct. it would triple the operational costs of Spotify and other streaming platforms before being passed on to consumers (who should have been paying more for music in the first place) but will cancel their subscription, turn to piracy and render streaming insolvent
Nice read on the rarely-discussed-in-the-open difficulties of training LLMs. Mature companies have dedicated teams maintaining the clusters. At scale, clusters leave the realm of engineering and become a lot more biological, hence e.g. teams dedicated to "hardware health". It…
Nice read on the rarely-discussed-in-the-open difficulties of training LLMs. Mature companies have dedicated teams maintaining the clusters. At scale, clusters leave the realm of engineering and become a lot more biological, hence e.g. teams dedicated to "hardware health". It…
Someone competent who doesn't take themselves too seriously is an existential threat to status-seekers.
@balajis Production requires a high pain threshold
Hardware is hard. That’s why Elon is by far the greatest founder of all time. Remember — countless startups die just while trying to put stationary beige boxes on desktops. Very smart people get crushed by supply chain disruptions, or China tariffs, or lockdowns, or shipping…
The only acceptable response to a funding announcement is: I’m sorry for your loss
Is AI having its WeWork "community-adjusted EBITDA" moment? That's a bit of an overstatement, but VCs are increasingly telling me about the not-so-traditional metrics AI startups are disclosing to try and win them over. More in this morn's Agenda: theinformation.com/articles/start…
There’s no conversational AI today that’s *enjoyable* to have a conversation with. Not even close.
Zuck had one deep insight in 2004: that college men were too afraid to ask for a girl’s phone number and that they’d prefer to just friend them on Facebook. The strength of that insight, along with some organizational alignment, grew the entire network to where it is today. But…
Ls are never final but Ws are forever
The greatest danger to the future of humanity is the centralization of power in the name of safety.
Probably the first operation cost analysis of owning @GroqInc hardware to run Llama2-70b. First of all, let me say I am a big fan of Groq. Great performance, great potential. The below is just a showcase how challenging things might be when rivaling the industry lead, but given…

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