Lattice “Tao” Research

[Anselm Levskaya @anselmlevskaya]

I’ve built DNA synthesizers and sequencers by hand. I used the engineer viruses for a living. I used to engineer human immune evasion for therapeutic constructs. Who the fuck are you people? Have you ever so much as held a pipette before?

You can spaghetti blast an ensemble of DNA sequences at some shitty provider but 1) you still have to assemble it and bootstrap a system for making virions 2) you are not single shotting a viable, virulent viral design without a ton of experimental selection and development. Viral fitness is deeply dependent on codons and cotranslational kinetics - you’re not just gonna obfuscate away from wild type and get something good by magic.

You keep treating AI like some kinda god, but molecular physics has computational complexity that scales exponentially in particle number which just crushes the abilities of any classical computer to do end-to-end design of biological functions ab initio.

Grabbing a bunch of bacteriophage phi174 hits from a mass ensemble screen in lab microbes is not evidence of some magical AGI bio design ability - it's just a classic spray and pray selection. This is just nothing like building something viable in humans.

Goddamn it read some books before you waltz into biomedicine and lecture us on protecting human life.

[David Sacks @DavidSacks]

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.

You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.

I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.

But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.

Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.

Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.

So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.

If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.

[Navalism @NavalismHQ]

If you don’t care to be liked, they can’t touch you.

@naval

[Robert Greene @RobertGreene]

The best way to neutralize our natural impatience is to cultivate a kind of pleasure in pain - like an athlete, you come to enjoy rigorous practice, pushing past your limits, and resisting the easy way out.

[Philosophy Sage @philosophysage]

Be Delusional

[Naval @naval]

All of the desirable people - the ones that you actually want to work with, spend time with, or date - won’t apply for the job.

They have to be identified from afar and hunted down.

[Rumi @Rumi_Quote]

The art of knowing is knowing what to ignore.

[Lattice “Tao” Research @Chloe_Cheung]

@frugalbc This make-believe thing is to pump Sei and Aptos…plus state stables use case is non existent.

[Lattice “Tao” Research @Chloe_Cheung]

@Carcar307 @SilentRhetoric @GaryMalouf @jannotti like this idea in general...wonder if it's technically plausible @GaryMalouf @JohnAlanWoods

[Lattice “Tao” Research @Chloe_Cheung]

@AlgoFoundation Most OG wallet...Anyone can beat this?

[Tim Ferriss @tferriss]

If someone asked me to give investing advice to a 30-year-old today who had just made their first million, I would first point them somewhere else. I’m not a financial advisor and don’t think I’m qualified to give anyone financial advice. The particulars matter too much. But if they insisted, I might say:

(1) If you want to play in early-stage tech investing (or anything high-risk, high-reward), ensure you have a plan for developing an ENORMOUS informational advantage. Aim to develop new skills and relationships through portfolio companies so that you can win over time, even if you “fail” with many bets going to zero. Only bet what you are comfortable losing and what you can recoup in other ways. Though my angel investing snowballed, I began with $10K checks and advising for sweat equity. Think of this as tuition for a real-world MBA. Are you willing to move to the hub of activity to ensure the best possible information and deal flow, as I did when I moved to SF lifetimes ago? Or make commensurate commitments or sacrifices to ensure you are in a position to win? If not, I’d suggest choosing a different game. Other people will take the initiatives that you won’t, and they will beat you. Much of early-stage investing is cooperative, but let’s not kid ourselves, a lot of it is competitive, and not everyone will podium finish.

(2) For the rest—which could be everything—follow Buffett’s advice. Keep it simple.

One cautionary example of doing the opposite: I spotted the COVID curve ball early, and I made a lot of very “sophisticated” (complicated) decisions related to investing, and the associated research, diligence, phone calls, and so on chewed up an unbelievable amount of time and energy. Eighteen to twenty-four months later, I’d done very well but decided to look at how passive S&P 500 returns would’ve added up over the same period, and… they were roughly the same. Of course, you can’t always bank on this outcome, but beware of seeking complexity if you’ve been rewarded for problem-solving throughout your life. Looking back over the last 15+ years, the handful of investment decisions that made all the difference have been simple and were somewhat obvious to me, no major gear-grinding required.

(3) Knowing when to buy isn’t enough. Have policies and rules for when you will sell, or the universe will punish you with very bad and very expensive decisions.

(4) Don’t discount luck, including lucky timing. I started angel investing seriously in 2008 and hit a golden window of converging trends, cheap valuations (by today’s standards), and an uncrowded playing field. The financial crisis had culled the herd of a ton of investors and fair-weather founders. It was a target-rich environment, even for someone with very little to invest. Micro-VCs were just cracking out of their shells, and the big players hadn’t started assailing the seed stage stuff. In retrospect, it was a wildly rare combo of things. I don’t believe I could replicate what I did in 2008–2012 now.

(5) Personally, I’ve largely stepped back from angel investing to double down on writing and the podcast (The Tim Ferriss Show, soon to hit 1B downloads). This comes from a desire for more predictability and less stress. I love the excitement of startups, and I’ve had some lucky wins, but I don’t find it nearly as interesting as developing creative muscles that bring in forecastable revenue year after year. For me, that has compounded more reliably than the all-or-nothing bets. Massive ups and downs in sectors like crypto also take a toll that reduces my creative batteries. In this chapter of my life, I think simplicity is the name of the game (e.g., finding one decision that removes 100 decisions).

(6) Over-optimizing is just as bad, if not worse, than under-optimizing. Past a certain point, buying extra Skittles just doesn’t fucking matter. So, a note to self: stop fiddling around with your goddamn spreadsheets and get more interesting hobbies on the calendar. What hobbies? Exactly.

(7) If we assume the point of investing is ultimately to improve your quality of life and the quality of life of those you most care about, investments that consistently add stress over long periods of time probably don’t make sense. Money is traded for things or experiences that catalyze certain feelings. If your investments are generating the opposite spectrum of feelings, it might be time to reassess.

It’s easy to miss the forest for the trees. Money is a means, not an end.

And in the end, most things matter very, very little. Do what helps you sleep at night and wake up with a low heart rate. To me, those are the hallmarks of a world-class investor who gets the big picture.

https://t.co/CVXVWAKuGM

[Lattice “Tao” Research @Chloe_Cheung]

@PeraAlgoWallet @al_goanna 🦎🦎🦎

[Dee Dee Tangsanga™ @QuoteMafia]

happiness is like butterfly u run after it, it keeps flying away.but if u stands still it will comes & sits on u.

[Dee Dee Tangsanga™ @QuoteMafia]

my silence spoke a thousand words...but u never heard them.