Co-Founder and General Partner @MF__xyz prev @aptoslabs @Meta @BCG @BlackRock @ConsenSys @MeridioRE
Joined July 2010
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Citadel, is one of the most significant hedge funds, and they just dropped tokenomics …
And it’s not what you would have expected
very relevant dev bars
They like to get geeked
Drink a whole bottle, wake up and repeat (damn)
She took a little (shh), mixed it with the (chill out)
Now she say she seein' 3D (wow)
Mo Shaikh 🇺🇸 retweeted
Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers.
Anyways, it had good climate control so here is my rack cellar.
Mo Shaikh 🇺🇸 retweeted
To be a good founder, you have to be a very harsh judge of everything around you. Most painfully, of people.
Mo Shaikh 🇺🇸 retweeted
The innovation exemption is an actual thing: sec.gov/newsroom/press-relea…
Mo Shaikh 🇺🇸 retweeted
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
Mo Shaikh 🇺🇸 retweeted
BREAKING: SpaceX’s Starlink satellites performed 207,152 proactive collision-avoidance maneuvers in just six months.
The advanced autonomous system:
• Detects potential close approaches
• Calculates the level of risk
• Adjusts orbital paths when needed
• Acts at a highly cautious threshold of just 3 in 10 million
SpaceX is managing the world’s largest satellite constellation with precision, automation and a safety-first approach.
Mo Shaikh 🇺🇸 retweeted
Jensen Huang: “Safety is paramount. In a lot of ways, it’s job one. However, safety is an engineering problem... If we’re not confident about the safety of the products — like all companies, like you and I, all the companies here — if you build a product or a service and you’re not confident in its functionality, capability, or safety, then don’t release it.
That’s a very obvious thing to do. You pace yourself until you are confident you’re releasing something that the market would appreciate. The market forces are already there. We don’t need any new laws. We don’t need new regulations.”
Mo Shaikh 🇺🇸 retweeted
BREAKING: The Senate has officially begun its roll call vote on the procedural motion to advance the CLARITY Act.
Watch live:
nitter.cf/i/broadcasts/1rGmqpgkn…
Mo Shaikh 🇺🇸 retweeted
Tom Brady says his career turned around when a sports psychologist told him to stop complaining about what he wasn’t getting and start stewarding what he had the right way
“Greg said to me, ‘Why don’t you quit bitching about all the things you’re not getting, and how about you do the best with whatever opportunities you get?’, ‘Stop worrying about what the other quarterback’s getting. Stop worrying about what the coach is saying to you.’”
“‘Every time you get in there, you bring the juice. You bring the energy. You bring the enthusiasm. You treat practice like a game.’ Because if you just decide to go out there and you’re blaming everybody else, where does that get you? So I started to change my attitude.”
“I didn’t have a lot of confidence in myself. And when you don’t have a lot of confidence in yourself, you blame other people. When you gain confidence in yourself, you start pointing the finger at yourself.”
“I would encourage every athlete to look in the mirror after every day of practice or a game and say, ‘What can I do better to help the team? What can I do better?’”
“Not, ‘What does the coach need to do better?’ Not, ‘What do my teammates need to do better?’, ‘What do I need to do better?’ If every player does that, you’re going to have an incredible team.”
“You can’t have a false confidence. You don’t only gain your confidence because of your physical ability. You gain your confidence because you’re prepared, because you’re competitive. I couldn’t just show up and be better than everybody.”
“I had to show up prepared. I had to show up with energy. I had to show up with my body feeling right. I had to show up like I was on a mission.”
If you're in meetings all day and need to cut the crap. here are some musings:
I just got back from Tokyo and there were basically only 2 types of meetings.
The most locked-in meetings were where AI barely a sight
there are basically two setups. In the first, everyone has a laptop open, bouncing between AI tools, notes, and messages. More information in the room, and everyone half-absent. I call these attention-deficit meetings.
In the second, people wear bone-conduction headphones and look directly at each other. AI runs quietly underneath as a research, translation, and note-taking layer. Nobody breaks eye contact to check anything.
I can't tell you which way the causality runs. Maybe the ambient setup creates the presence, or maybe teams disciplined enough to ban open laptops are simply the ones adopting ambient AI. Either way, the setup removes the excuse for distraction, and that alone changes the vibe in the room.
of course this makes me think about the printing press making text abundant... when that happens the scarce thing became the reader's attention, and whole industries reorganized around winning it.
Same move here - once AI absorbs the information layer, the scarce input in a meeting becomes human attention.
How someone asks a question. A hesitation before an answer. Whether the person across from you actually understands what you said.
Use tech to become more present. Fewer distractions, better signal, and less bullshit.
The moment that sold me: forty minutes into a session in Tokyo, I realized nobody had looked at a screen once, and I could remember every word.
This is a solid framework to start with!
1/ grateful to @a16zcrypto for recognizing the importance of ensuring financial institutions can use/build on permissionless networks. The article published today gives a brief synopsis of the paper (&framework) @m_mosier_ @malekanoms (link ⬇️).
Mo Shaikh 🇺🇸 retweeted
Your brain deletes most of your ordinary days. It keeps almost every minute of a night alone in a foreign city. What's happening there is actually one of the more beautiful things about how your nervous system works.
Your brain is a prediction machine. When it can predict everything, like your commute, your kitchen, your same six streets, it stops recording. That's why whole months at home just vanish. But put yourself somewhere it can't predict anything and the system flips. Every sign, every smell, every crosswalk registers as new information. Dopamine tags all of it as worth keeping. This is why one week abroad feels longer in memory than a month at home. Your brain literally kept more of it.
The second thing happening is quieter. At home, some part of you is always tracking how you're being perceived. Your boss, your friends, the people who knew you at 22. In a city where nobody knows your name, that entire system goes offline.
And when it goes offline, the bandwidth doesn't disappear. It gets redirected inward.
That's the "realizing how far you've come" part. Your brain is finally recording again, the self-monitoring is off, and you're far enough away from your life to see the whole shape of it at once.
You spend years too close to your own life to see it. Then one night you're crossing a street on the other side of the world, and you finally have enough distance to look.
How to win a deal?
Be the deal
“If you get on the wrong train, get off at the nearest station. The longer you stay on, the more expensive the return trip will be.”
The idea itself is excellent because it is basically anti-sunk-cost thinking.
Once you know the direction is wrong, staying longer doesn’t redeem the decision.
It compounds the cost: more time, more money, more identity invested, more distance from where you actually wanted to go. – at Shinagawa-ku, Tokyo
