Cade Lau

UofM ‘20

[Cade Lau @cade_lau]

@GiantHotTakes Need better from you if you’re gonna be a voice for Giants fans! All love bro. Excited to see the account keep growing

[Cade Lau @cade_lau]

@trillhause_ @tanmaigo @rajoshighosh @PromptQL https://t.co/43Nv7nTJLY

[Cade Lau @cade_lau]

@businessbarista @da_fant @PromptQL

[Alex Lieberman @businessbarista]

Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money.

Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.”

When companies talk about being data ready for AI, this is what they’re implicitly saying.

Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers.

But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology.

The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable.

It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc.

Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process.

Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth.

Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises.

And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable.

That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem.

Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.

[Scott Bell @sbell021]

With Ohio State’s season now over, Buckeye fans can finally answer the question that kept coming up last year: What’s a more satisfying season — beating your rival or winning the CFP.

I’m very curious what their answer will be, since they can’t have the same answer I do: Both.

[Cade Lau @cade_lau]

@emmysteuer I don’t necessarily think that was Mike White’s intention with the show (which is a separate topic), but I appreciate the mirror the show holds up to society

[Cade Lau @cade_lau]

@emmysteuer It’s divisive and starts this discussion- as all great art should

[Cade Lau @cade_lau]

Confused by who you’re upset at here. Understand criticizing PGA but seems like you’d support Grants decision to decline.

In his video with Scottie, Grant showed hesitation and Scheffler actually encouraged him to accept because he brings positive attention to the game.

[Lou Stagner (Golf Stat Pro) @LouStagner]

Imagine turning down a PGA Tour invite you have no business receiving in the first place because you can't film for YouTube.

There are guys out there GRINDING their tails off to make it as pros. Invite one of them.

STOP wasting invites on YouTubers.

[SFGiants @SFGiants]

Willie forever 2⃣4⃣

[Cade Lau @cade_lau]

22. They don’t accept cash!

Of course! Silly me!

It only makes sense that I’ll now have to go to the bank and get my first ever checkbook to finish this saga!

@CA_DMV @sfgov @MarinSheriff

[Cade Lau @cade_lau]

Just had the pleasure of renewing my car’s registration while at the same time dealing with a ticket for said expired registration.

Process was so convoluted it became comical. But also emphasized how tough it would be for someone less fortunate than myself.

A 🧵…

[Cade Lau @cade_lau]

21. Now to submit my correction to the Marin Parking Authority!

Turns out you can’t submit proof to them online, you have to physically mail your citation to them with the officers signature on it. (SFMTA allows you to do this online)

You also have to include the payment…