GP @468capital. Founder @mesosphere, ex @twitter & @airbnb. prototype not meant for mass production. the 🇺🇸 dream is real.
Aspen & SF
Joined January 2009
- Tweets3.5K
- Following3.9K
- Followers11.7K
- Likes4.1K
What openai and @AnthropicAI need is that the federal government strengthen whistleblower rights and make sure if we see something, say something @DavidSacks
You lean about the do’s and dont’s of supplier, distributer, retailer and consumer plays on how to catch a smuggler (tm).
Florian Leibert 🎢 retweeted
if meta were valued at the same revenue multiple anthropic is targeting, it would be worth ~$12.5 trillion
food for thought
Florian Leibert 🎢 retweeted
Today we killed the template.
Introducing Linearity AI. One sentence gives you a full campaign designed from your brand. Our vector engine built over the last decade makes your designs pop in your colors, fonts, branding while still being fully editable.
🧵👇
Florian Leibert 🎢 retweeted
None of this exists without the people who believed in a kid with an iPad app. Big thanks to hank you
Thank you @tedpersson @sofiegrant_ @jenny_dreier @SaidHaschemi @flo @DonLindsay20 @PhilipMagoulas @lensthaler @mirko_novakovic @elatable @LutzFinger @jrochelle @ShaunModi @zachlloydtweets @hcp65 @hit_ch @w_thyra @jeschonnek @Jasamaze @frauott @kaseyleighdavie @DenZhadanov @eqtventures @HV_Capital @468Capital @PossibleVC @newforge_de.
as well as the other investors and the team who made this a reality!
Is GB VRAM / concurrent user the metric the frontiers use? cc @sama? And what's that metric?
Florian Leibert 🎢 retweeted
Meta built Muse with just 200 people.
“The whole executive team, everyone knew that this was probably going to be one of the most important products that Meta would ship this year.”
“But we had the restraint organizationally to make sure it was a really small focused team working on it... because we knew it was a single work of art.”
“This is even now starting to plague a lot of the AI labs. They become this Frankenstein, almost Cronenberg amalgamation of a bunch of different people's points of view.”
“It's sort of like PM hell, where every PM has a thing that they're trying to jam into the product.”
“Muse had to be the exact opposite. There's one clear point of view.”
— @alexandr_wang
My conversation with @alexandr_wang, chief AI officer of Meta.
0:00 The vision behind Muse
1:32 Discovering the potential of personal AI agents
3:34 Three years of therapy in one AI session
5:46 Building Muse in 7 months
9:16 Why Meta bet on personal AI
16:51 Mark Zuckerberg's obsession with improving products
20:15 How Meta knew Muse was ready to launch
23:32 Why great products need a single point of view
25:56 Making Meta cool again with memes
34:38 Building trust with AI agents
38:43 The future of human ambition
45:22 The call from Mark Zuckerberg that changed everything
52:13 Leaving Scale AI for Meta
55:19 Rebuilding Meta's AI lab from scratch
58:13 From founder to coach
1:05:55 The future billionaires at Alexandr's 19th birthday party
1:08:04 Diamond mining vs. building skyscrapers
1:09:21 Why Alexandr has more than 200 direct reports
Includes paid partnerships.
This sums it up: Template for the Public Summary of Training Content for General-Purpose AI models required by Article 53 (1)(d) of Regulation (EU) 2024/1689 (AI Act)
Good news: FP8 KV cache booted cleanly: KV capacity nearly doubled, from 620k to 1,203k tokens, which for the first time exceeds the 1M context window. The gate with both retrieval checks is running now.
