Alv

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|Startups, AI & VC | Prev @Tesla @Amazon @Apple

[Garrett Scott 🕳 @thegarrettscott]

INTRODUCING: @doanythingapp

Do Anything Agents are a totally new kind of agent

They:
- work independently for weeks/months+
- have their own email
- self manage entire projects
- can use almost any tool on the web

Today the alpha opens to the public. Here's how they work:

[Alv @al_flo17]

@felixleezd @ADPList ✋

[Priyansh Agarwal @Priyansh_31Dec]

There are always two ways to do something
1) quickly with no understanding (probably using AI tools now)
2) slowly but with deep understanding.

If you choose 1 more often than 2 over a long period of time, you will find yourself in a very miserable state at the end.

[Macy Mills @_CallMeMacy]

Trying to break through the noise with your @speedrun app? These scouts have announced in the past week and want to help you join speedrun!

[Ankur Nagpal @ankurnagpal]

I wrote a 20,000 word Notion guide on what I would do differently as a founder if I were to start from scratch

Covers equity, fundraising, raising money, taxes, hiring & paying my team, running finance, selling secondaries & exiting

Comment or RT & I'll DM you a copy

[Lost Temples™ @LostTemple7]

Beautiful Things from the time gone by 🧵

1. This is a Westinghouse gyro ceiling fan copper oxide finish from 1920

[Alv @al_flo17]

@tszzl Couldn’t agree more

[roon @tszzl]

the dominos pizza tracker is one of the high watermarks of our technological civilization

[David Perell @david_perell]

A friend just raised money for a new company. At lunch, an older man told him: “The business is simple, and it’s simple enough that your biggest risk is getting caught up in all the nonsense you think you need to be doing to please your investors, but don’t actually matter.”

[Autism Capital 🧩 @AutismCapital]

Things like this convince us that 100% of everything we believe about our environment/reality is a temporary lie. Sight, sound, object, matters, etc. have all been contextualized to us as babies by others. Actual reality is probably schizophrenic chaos.

[Justine Moore @venturetwins]

When the vibe coding is over and it's time for vibe debugging

[Alv @al_flo17]

In the future, our Harvey AI agents will argue for us on here while Grok plays mediator

[Will Ahmed @willahmed]

NEW WHOOP RESEARCH: EARLIER BEDTIME, MORE EXERCISE

New Whoop research published in PNAS - the journal of the National Academy of Sciences -  shows a clear, measurable link between sleep timing and next-day physical activity: going to bed earlier significantly increases your likelihood of exercising the following day.

This insight emerges from one of the largest behavioral datasets ever studied: nearly 6 million nights of sleep data from 20,000 WHOOP members, analyzed in collaboration with Monash University and Harvard University.

Key findings:
-Individuals with a typical 9 p.m. bedtime logged 30 more minutes of moderate-to-vigorous activity per day than those who habitually went to bed at 1 a.m.
-Even relative to average sleepers (11 p.m. bedtime), early sleepers exercised 15 minutes more each day.
-Crucially, simply going to bed earlier for a single night - without increasing total sleep - predicted greater physical activity the next day.
-Even with *less* total sleep, going to bed earlier still resulted in more likelihood to exercise.

These effects held independent of sleep duration. In other words: *when* you sleep might matter as much as *how much* you sleep. And even modest shifts in sleep timing can translate into meaningful behavioral change.

This research challenges the view that sleep and exercise are independent lifestyle variables. They are tightly coupled - and the directionality is clear: sleep timing can drive next-day movement. It’s a powerful lever for behavior change.

We’re incredibly proud that WHOOP data continues to advance the scientific understanding of human performance - and grateful to collaborate with leading researchers in the world. Congratulations to our SVP of Research, Algorithms, and Data, Emily Capodilupo, Monash University’s Josh Leota, PhD, and all of the other collaborators.

[Ray Dalio @RayDalio]

Now that the budget bill has passed Congress, we can see what the projections look like for deficits, government debt, and debt service expenses. In brief, the bill is expected to lead to spending of about $7 trillion a year with inflows of about $5 trillion a year, so the debt, which is now about 6x of the money taken in, 100 percent of GDP, and about $230,000 per American family, will rise over ten years to about 7.5x the money taken in, 130 percent of GDP, and $425,000 per family. That will increase interest and principal payments on the debt from about $10 trillion ($1 trillion in interest, $9 trillion in principal) to about $18 trillion (of which $2 trillion is interest payments), which will lead to either a big squeezing out (and cutting off) of spending and/or unimaginable tax increases, or a lot of printing and devaluing of money and pushing interest rates to unattractively low levels. This printing and devaluing is not good for those holding bonds as a storehold of wealth, and what’s bad for bonds and US credit markets is bad for everyone because the US Treasury market is the backbone of all capital markets, which are the backbones of our economic and social conditions. Unless this path is soon rectified to bring the budget deficit from roughly 7% of GDP to about 3% by making adjustments to spending, taxes, and interest rates, big, painful disruptions will likely occur.

[atlas @creatine_cycle]

AI guys will join a new lab and be like "it's time to build super-intelligence".
my brother in christ, what were you doing at the other 4 labs?

[Ryo Lu @ryolu_]

on future of AI interfaces:

future interfaces flow like water — meeting people how they actually think, not how we assume they should

some of us think in bullet points, some in conversations, others need to see everything mapped out visually. the magic happens when the interface adapts to match your specific cognitive style instead of forcing everyone through the same chat box

imagine AI that knows you process complex info better as a timeline, or that you prefer quick back-and-forth over long explanations. it shifts between chat, canvas, tables, whatever actually works for how you think, but acting on the same ground truth

we're moving from “here's one single-purposefully built interface, deal with it” to interfaces that genuinely fit how minds and teams operate. not just understanding what you want, but how you want to receive and work with it

the breakthrough isn't more features — it's interfaces that feel invisible because they match your natural thought patterns perfectly — the ideal form of “it just works.” it grows from something simple and universal, into forms that capture the beautiful complexities of individual minds

rigid UIs assume everyone thinks the same way. adaptive interfaces recognize that great tools should bend to the user, not the other way around

[Alv @al_flo17]

@AutismCapital 🤣

[Autism Capital 🧩 @AutismCapital]

“Wherever there is a situation, it will be monitored.”

[Ramp Capital @RampCapitalLLC]

Time to drop a really big bomb:

Pineapple on pizza is delicious.