Adam Kolom

Building at the intersection of science + finance. Co-founder, Parker Institute for Cancer Immunotherapy. Co-founder, Related Sciences. Dog lover.

[Adam Kolom @AdamKSay]

for most diseases, the best medicines are soon to come. why?

better disease targets x 10 new/better modalities x better discovery x better clinical precision = golden decade for new drug creation, addressing 2 big opportunities:

1. treat the ~75% of 13,000+ disease segments w no approved medicines
2. replace last generation medicines w more effective and safer meds

https://t.co/6Mnw8aiu4D

[Adam Kolom @AdamKSay]

@t_blom same. insane advance.

[Adam Kolom @AdamKSay]

@marklewismd @AndrewJSauer wow amazing moment to have captured. thanks!

[Adam Kolom @AdamKSay]

@karpathy Anthropic interviewed at Karpathy, and accepted his offer -- the chuck norris of AI

[Adam Kolom @AdamKSay]

👏 @velez_david

[CapexAndChill @CapexAndChill]

Another great recent interview with $NU's CEO. Nubank started because the traditional banking experience was terrible. David Vélez faced huge delays, revolving doors, and extreme frustration just to open a simple bank account in Brazil. He realized that major banks were failing the consumer. To solve this, Nu focused on fighting complexity and empowering people.

Today, this mission has turned Nu into a massive financial giant. They now have 135M customers across Brazil, Mexico, and Colombia. In the first quarter of 2026 alone, Nu reached a record $5B in revenue and $871M in net income.

From the beginning, tech gave Nu a massive edge. In 2012, the rise of smartphones and cloud computing allowed Nu to build a bank without spending billions on physical branches and old computer systems. This digital-first model makes Nu 20 to 30 times more efficient than traditional banks. This incredible efficiency resulted in a record-low operating efficiency ratio.

Now, Nu is pushing this advantage even further through AI. They are completely rebuilding the bank around it. AI now handles real-time credit pricing in under one second and has sped up engineering testing cycles by 90%.

Because Nu operates with such low costs and deep data insights, they can safely lend money in ways that others cannot. They are aggressively growing their credit card and unsecured lending businesses. These products made up 98% of their new exposure in the quarter.

Nu does not worry about minimizing late payments. Instead, they use AI to price risk extremely well. This ensures their loans remain highly profitable over the long term. They keep loan durations short so they can react to market changes much faster than incumbent banks. They are also using these advantages to capture the massive small business market at nearly zero acquisition cost.

They are quickly growing credit limits to win over high-income customers. Nu does not view itself purely as a bank. Their true goal is to make customers love them. Because 100% of their customers are digital, Nu can easily sell non-banking products. They are now expanding into marketplaces, travel, and telecom services like NuCel to make daily life simpler.

Nu is also taking its winning formula to new countries. Their operations in Mexico and Colombia are growing very fast. They believe their Latin American culture helps them build strong emotional connections with customers. This gives them a major edge over traditional banks.

They are also testing an expansion into the US. This move is a low-cost bet that risks less than 100 basis points of their efficiency ratio but offers massive upside. Despite their massive success, Nu is still at the very beginning of its journey. The global financial market produces around $7T in profits, and traditional banks still control 97% of it.

By combining a pro-consumer culture with top-tier AI and an unbeatable cost structure, Nu plans to keep taking market share from legacy banks. They aim to eventually serve hundreds of millions of people across many countries. It is pretty wild to see that despite their growth over the last decade that a large part of their future growth will involve winning over even more customers from legacy banks.

[Adam Kolom @AdamKSay]

A) Gemini often better at design and layout
B) GPT better at honest push back
C) Codex /Goal should come to claude

Also Regular Frustrations:
1) API batch limits break processes with all active agents at once, requiring all to be restarted where they left off (instead of auto restarting). very frustrating, regular, and friction creating
2) claude can't see it's own API spend via a tool do mis estimates it
3) Compression algorithm when context fills up doesn't do as well as forcing agent to take notes. claude could easily do the same automatically

[Adam Kolom @AdamKSay]

@JustinvestToday both are great companies with different business dynamics; NU makes greater profits with faster growth at a much lower value, would be a good reason to choose NU.

[Adam Kolom @AdamKSay]

1) No. The old Micron cycles were real—but they were tied to saturating, one-time demand waves (PCs in 2000, smartphones, crypto). AI inference is structurally different: it’s not a finished product, it’s the *runtime* foundation for infinite intelligence on tap—agents, robotics, enterprise automation, and apps we haven’t invented yet. Inference workloads are exploding and compounding, not plateauing. This "cycle" may be many year to decade supercycle for the next computing age.

2) HBM isn’t commodity DRAM anymore. It’s highly specialized, hard to manufacture, supply-constrained (18-36 month lead times), with an oligopoly and multi-year contracts already locking up all of Micron’s 2026 capacity. Hyperscalers are building the new infrastructure layer, not speculating.

3) demand is growing 70%+ Y/Y on top of expanding margins from price and cost innovation, and touching everything nvidia and apple and google touches with increasing memory density

[Adam Kolom @AdamKSay]

@hamids truly crazy how bad sell side analysts often are. will be interesting to see the new price targets or if they're going to double down on their "cyclical" narrative as earnings compounds

[Adam Kolom @AdamKSay]

so well said. the analyst coverage and projections on this company should get every one of them fired. comically undervalued still except in a world where demand for AI inference just suddenly stops and peaks in 2027 (which is seemingly consensus despite being the dumbest and least plausible view an investor could hold)

[Vega Shah @dr_alphalyrae]

turning out that the biotech winter is not temporary, not thawing when rates drop. We are in a structural consolidation where sub $300M funds doing early stage discovery seem to be hollowing out. I doubt the science has gotten worse. The funding architecture around it has become increasingly inhospitable to anyone who isn’t already at scale. That is a long term problem for therapeutics discovery even if mega fund IRRs look fine in the near term

[Adam Kolom @AdamKSay]

At its most extreme concentration, capitalism conceptually morphs into a technocratic form of communism.

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Adam Kolom @AdamKSay]

@PropheticAI super cool. hope the time rules of inception don't apply

[Adam Kolom @AdamKSay]

futuristic AF. hope time rules of inception don't apply

[Prophetic @PropheticAI]

Today we are launching two revolutionary products: Dual and Phase.

These devices will enhance how humans dream.

Prophetic Dual retails for $449 and starts shipping at the end of this year.

Prophetic Phase retails for $1299 and starting shipping middle of next year.

[Adam Kolom @AdamKSay]

Hey please give Claude tool based visibility of its own API use and associated costs. It estimates terribly wrong and can drive huge unexpected API costs for your users, making it impossible to use your "auto refill" option without high risk. If Claude could see its actual API billings would allow partnership for budgeted efforts. i lost $4K in 3 hours based on it telling me it had only spent $250 and me naively assuming your model knew its own API use. have sent multiple emails to your customer support but FIN just writes automated nonsense back

[Adam Kolom @AdamKSay]

AI seems to be all about thresholds.

Right now, appearance of infinite exponential demand for intelligence/tokens as API at anthropic etc

but above a certain capability level, why wouldn't apple just ship a mac with an opus 4.7 level model fully harnessed?

open model intelligence will eventually be *enough* for 99% of even hard tasks.

if china and google distill powerful models into local ones, this should really hurt the AI growth story in a year or two above some key intelligence threshold we are already approaching

[Ejaaz @cryptopunk7213]

sorry but this is seriously fucking impressive

china just shipped a claude code-level ai model small enough to run on your laptop.

it codes better than opus 4.5 and its tiny. 27B beating models 15X LARGER than it.

best part? shit is fully open source.

no cloud, no rate limits, no api keys

this model plus kimi k2.6 tells me open source has caught up to the frontier models

how the fuck did china pull this off?

[Adam Kolom @AdamKSay]

@Jason I'm in

[Adam Kolom @AdamKSay]

amazingly cool sentence / finding

[Natalie Wolchover @nattyover]

What's especially cool is that the flagellar motor exploits the indivisibility of 5 by 2 to run on a fuel of rising entropy as protons diffuse into cells. For me as a physics and math person, this is biology at its best. https://t.co/TBAP5H3vR3

[Adam Kolom @AdamKSay]

@Ronalfa banger

[Adam Kolom @AdamKSay]

@owl_posting 🤣