Alex Ren retweeted
Gamma 5 is #1 on Design Arena, beating Opus 5.5 on general purpose slide creation.
We launched Gamma 5 because AI made it easy to create, but then everything started to look the same. We rebuilt Gamma with a new agent, new editor, and a new generation experience to give you the se are presentations that look like you and your brand, with a creative partner to help visualize any idea you have.
Incredibly proud of what our team has built and excited to ship more.
We launched Gamma 5 because AI made it easy to create, but then everything started to look the same. We rebuilt Gamma with a new agent, new editor, and a new generation experience to give you the se are presentations that look like you and your brand, with a creative partner to help visualize any idea you have.
Incredibly proud of what our team has built and excited to ship more.
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Fellows Fund is hosting an AI dinner in Tokyo on Nov 4.
Which founders and investors should we invite? Tag them below.
Which founders and investors should we invite? Tag them below.
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One thing I look for in founders is that they don’t take rejection personally.
A lot of founders get stuck on how investors or customers treat them, which becomes a distraction.
The best ones are able to control their emotions.
When a customer passes on their product, they come back w/ a better one.
A lot of founders get stuck on how investors or customers treat them, which becomes a distraction.
The best ones are able to control their emotions.
When a customer passes on their product, they come back w/ a better one.
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When I arrived in Silicon Valley 14 years ago, I only knew 3 people.
Here’s my advice to every young person who feels lost:
1/ Find something you believe will change the world in 10 years.
2/ Start before it’s obvious to everyone else.
3/ Get as close as you can to the smartest people working on it.
4/ Learn obsessively.
5/ Make progress every single day.
Some of these might sound cliché, but they’re the reason I got to where I am today.
Here’s my advice to every young person who feels lost:
1/ Find something you believe will change the world in 10 years.
2/ Start before it’s obvious to everyone else.
3/ Get as close as you can to the smartest people working on it.
4/ Learn obsessively.
5/ Make progress every single day.
Some of these might sound cliché, but they’re the reason I got to where I am today.
10 years ago, I realized AI would change the world. So, here’s what I did:
1/ Quit my corporate job to start a company, even though the idea was terrible.
2/ Snuck into Stanford lectures to hear Geoffrey Hinton talk about AI. I understood close to nothing, but knew I was witnessing the future.
3/ Launched a headhunting business, mostly as an excuse to talk to the smartest people in AI.
4/ Spent years learning from researchers and founders - their wins, failures and crazy ideas.
5/ Realized I wanted to invest in what they were building and help them succeed.
6/ Built a community of world-class AI scientists.
7/ Started backing great founders early and went all-in on helping them - even if it meant working 5am nights.
We couldn’t build every great AI company ourselves, so we decided to back the people who could.
That’s essentially how my partners and I built @Fellows_Fund.
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10 years ago, I realized AI would change the world. So, here’s what I did:
1/ Quit my corporate job to start a company, even though the idea was terrible.
2/ Snuck into Stanford lectures to hear Geoffrey Hinton talk about AI. I understood close to nothing, but knew I was witnessing the future.
3/ Launched a headhunting business, mostly as an excuse to talk to the smartest people in AI.
4/ Spent years learning from researchers and founders - their wins, failures and crazy ideas.
5/ Realized I wanted to invest in what they were building and help them succeed.
6/ Built a community of world-class AI scientists.
7/ Started backing great founders early and went all-in on helping them - even if it meant working 5am nights.
We couldn’t build every great AI company ourselves, so we decided to back the people who could.
That’s essentially how my partners and I built @Fellows_Fund.
1/ Quit my corporate job to start a company, even though the idea was terrible.
2/ Snuck into Stanford lectures to hear Geoffrey Hinton talk about AI. I understood close to nothing, but knew I was witnessing the future.
3/ Launched a headhunting business, mostly as an excuse to talk to the smartest people in AI.
4/ Spent years learning from researchers and founders - their wins, failures and crazy ideas.
5/ Realized I wanted to invest in what they were building and help them succeed.
6/ Built a community of world-class AI scientists.
7/ Started backing great founders early and went all-in on helping them - even if it meant working 5am nights.
We couldn’t build every great AI company ourselves, so we decided to back the people who could.
That’s essentially how my partners and I built @Fellows_Fund.
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One of the hardest parts of early-stage investing is backing a great founder the rest of the VC community doesn’t recognize yet.
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No surprise. In Asia, everyone knows @higgsfield and its founder, @alexmashrabov. 🔥
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The best way to assess a founder’s resilience is to look at how they’ve handled problems before.
I always want to know what went wrong in their past, how they got through it, and how they’ve dealt w/ rejection.
I always want to know what went wrong in their past, how they got through it, and how they’ve dealt w/ rejection.
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I look for two main things in founders: conviction and a superpower.
Conviction means they’re set on solving a significant problem.
A superpower is the unique strength that lets them do it better than anyone else.
Conviction means they’re set on solving a significant problem.
A superpower is the unique strength that lets them do it better than anyone else.
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It sounds simple, but if you want to succeed at anything, you have to admit what you’re not good at.
In my early days, I wanted to be a great researcher. I eventually noticed I didn’t have the patience for it, so I stopped pursuing it.
Instead, I found my strength was people. So, I focused on building relationships and getting better at networking.
A big part of where I am today comes from that decision.
Don’t be afraid to walk away from something you’re not built for
In my early days, I wanted to be a great researcher. I eventually noticed I didn’t have the patience for it, so I stopped pursuing it.
Instead, I found my strength was people. So, I focused on building relationships and getting better at networking.
A big part of where I am today comes from that decision.
Don’t be afraid to walk away from something you’re not built for
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It sounds obvious, but you find out who your best investors are when things go wrong.
They’ll answer a call w/ bad news at 2am and sit w/ your team on their hardest technical problems.
Easier said than done, but those are the investors to look for.
They’ll answer a call w/ bad news at 2am and sit w/ your team on their hardest technical problems.
Easier said than done, but those are the investors to look for.
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Alex Ren retweeted
"If you're not touching and moving the world and you're a robot, what are you doing?"
@peteflorence is co-founder and CEO of @GeneralistAI, a company building general-purpose intelligence for the physical world through robotics foundation models. In mid-August, Generalist atest model, which Anthropic researcher Sholto Douglas has described as a "GPT-3 moment for robotics".
Florence's central claim is that dexterity, touching and manipulating the physical world, is the robotics equivalent of coding for language models: a broad capability with the potential to create a self-improvement loop in which robots build robots.
(2:24) GEN-1.5 and one-shot learning
(10:53) Dexterity in robotics
(27:38) Generalist’s founding thesis and what sets it apart
(32:17) Protecting simplicity
(42:15) Balancing general intelligence with commercial deployment
(50:52) Geopolitics, safety, and alignment
(1:03:37) Book recommendations
@peteflorence is co-founder and CEO of @GeneralistAI, a company building general-purpose intelligence for the physical world through robotics foundation models. In mid-August, Generalist atest model, which Anthropic researcher Sholto Douglas has described as a "GPT-3 moment for robotics".
Florence's central claim is that dexterity, touching and manipulating the physical world, is the robotics equivalent of coding for language models: a broad capability with the potential to create a self-improvement loop in which robots build robots.
(2:24) GEN-1.5 and one-shot learning
(10:53) Dexterity in robotics
(27:38) Generalist’s founding thesis and what sets it apart
(32:17) Protecting simplicity
(42:15) Balancing general intelligence with commercial deployment
(50:52) Geopolitics, safety, and alignment
(1:03:37) Book recommendations
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This year, our fund reached +60 portfolio companies, 40 Fellows, and a +10,000 member AI community.
Looking back on the last 14 years, there are 3 key turning points that have brought me to where I am today.
1/ My 37th birthday. I'd read that the average age of a successful founder is 38, so I quit my job and launched a social mobile app. Ended up burning all the money within 1 year.
2/ Geoffrey Hinton’s talk at Stanford. This is the moment I started to believe that AI would seep into every industry. At this point, I had ~$10k left in the bank and realized that the best way to keep up w/ AI was to stay close to the people building it. So I launched an AI headhunting firm.
3/ COVID. Realized that AI would accelerate faster than anyone expected and that founders needed capital, network and real operating experience. After seeing one too many bad investors, I decided to launch Fellows Fund w/ 10 founding AI Fellows.
Been a wild journey w/ countless all-nighters and years without a vacation.
Watching our fund grow makes all of it more special.
Looking back on the last 14 years, there are 3 key turning points that have brought me to where I am today.
1/ My 37th birthday. I'd read that the average age of a successful founder is 38, so I quit my job and launched a social mobile app. Ended up burning all the money within 1 year.
2/ Geoffrey Hinton’s talk at Stanford. This is the moment I started to believe that AI would seep into every industry. At this point, I had ~$10k left in the bank and realized that the best way to keep up w/ AI was to stay close to the people building it. So I launched an AI headhunting firm.
3/ COVID. Realized that AI would accelerate faster than anyone expected and that founders needed capital, network and real operating experience. After seeing one too many bad investors, I decided to launch Fellows Fund w/ 10 founding AI Fellows.
Been a wild journey w/ countless all-nighters and years without a vacation.
Watching our fund grow makes all of it more special.
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The more you know about tech, the less you typically know about the business.
I see it w/ a lot of technical researchers who start companies.
They’re so focused on the tech that they assume a head of sales can handle the rest.
As CEO, you have to learn to sell the product, build partnerships and set the business strategy. Since you’re starting from scratch on the business side, the marginal value of learning this is huge.
A few books and conversations w/ people in sales will teach you far more than going deeper on the tech.
I see it w/ a lot of technical researchers who start companies.
They’re so focused on the tech that they assume a head of sales can handle the rest.
As CEO, you have to learn to sell the product, build partnerships and set the business strategy. Since you’re starting from scratch on the business side, the marginal value of learning this is huge.
A few books and conversations w/ people in sales will teach you far more than going deeper on the tech.
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One of the most underrated skills in business is being able to read someone’s emotions from a simple gesture.
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Alex Ren retweeted
@JensenHuang and NVIDIA just invested in Higgsfield
We turn competition at the foundation layer into compounding advantage for our customers. Every advance at the frontier expands what Higgsfield can deliver
The moat is ownership of demand, and we clearly own one.
We turn competition at the foundation layer into compounding advantage for our customers. Every advance at the frontier expands what Higgsfield can deliver
The moat is ownership of demand, and we clearly own one.
Jensen Huang: “… the founders of Higgsfield are visionary in the work that they do … but these are some of the brightest people in the world.”
We're grateful to Jensen and the teams at NVIDIA and TCV for believing in us. Both companies have joined Higgsfield as investors in
Since our August Series B:
• We’ve crossed $1 billion in annualized revenue.
• Enterprise contracts are up 71%, growing 100%+ month-over-month
• We’ve grown from 30 million to over 40 million users globally.
TCV has backed Netflix, Facebook, ByteDance and Spotify, companies that changed how people create and consume media. NVIDIA has powered every generation of Higgsfield, from L40 and A40 GPUs through Hopper and Blackwell, with Vera Rubin next to meet growing demand.
Thank you to our creators and customers for building with us every day, and to everyone at Higgsfield whose work brought us here.
The full Bloomberg Announcement is linked below.
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Alex Ren retweeted
@AlexFellowsFund To be fair, #1 is the only real reason.
Enough conviction solves 2 and 3 every time.
Enough conviction solves 2 and 3 every time.
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