Rino

Entrepreneur, CTO, machine learning, information retrieval.

[Rino @rinofm]

@ProfBuehlerMIT Thanks for open sourcing this :)

[Rino @rinofm]

the most important skill

[Rino @rinofm]

Codex automations, iA writer, linear and handy setup is getting very close to Jarvis

[Rino @rinofm]

@jordwalke Brilliant :)

[Rino @rinofm]

@christianreber If there's something Europe is 'europoor' in, it's the optimism and scale mentality that the US has plenty of. I think this has significantly influenced founders, which is why you see more technical founders in the US than in Europe.

[Rino @rinofm]

having the intuition and ability to design a great ux quickly is such a superpower nowadays that showing to agents is much faster than describing

[Rino @rinofm]

@micka_design here!

[Rino @rinofm]

@rguldener Love it

[Rino @rinofm]

@thsottiaux I’ve heard quite a few Spanish speakers call it “chati” (chatty)

[Rino @rinofm]

Why are we not communicating enough about the positive aspects of technology if they’re as easy to imagine as the unlikely bad scenarios?

[Rino @rinofm]

Young people’s unemployment was already bad after interest rates went up.

People who spent formative years locked down.

Anti democratic sentiment is very high.

Now there’s narratives about AI taking jobs away from them.

AI that was trained on the ingenuity of the human mind on one hand, and the takeover of attention on the other.

Tech became political.

I hope it’ll only be more activism.

[simp 4 satoshi @iamgingertrash]

A storm brews

New grads have their brains
atrophied by LLM use

They are the least employable,
while simultaneously entering the worst job market of this generation

Political activism around AI
is going to make woke
look tame

[Marc Andreessen 🇺🇸 @pmarca]

The confounding factor is that virtually every big company is overstaffed by 2-4x and has been for decades. AI is the catalyst/excuse to finally fix that. Of course nobody wants to say this out loud.

[Rino @rinofm]

They'll turn it around with AI

[Polymarket @Polymarket]

JUST IN: Coinbase transaction revenue falls 40% year-over-year.

[Rino @rinofm]

The volume of code produced by vine coding is impossible to be fully reviewed by a human.

[Rino @rinofm]

Engineers can ship more now, non technical can also ship, but apparently Coinbase ran out of ideas of what to build.

People with 15+ direct reports and non technical will be shipping vibe code to production for a fintech.

[Brian Armstrong @brian_armstrong]

This is an email I sent earlier today to all employees at Coinbase:

Team,

Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future.

Why now
Two forces are converging at the same time. We need to be front footed to respond to both.

First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth.

Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day.

All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core.

What this means
To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice?

- Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles.

- No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams.

- AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role.

In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs.

To those who are affected
I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done.

All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information.

To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements.

Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters.

How we move forward
To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together:

Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it.

The Coinbase that emerges from this will be more capable than ever to achieve our mission.

Brian

[Rino @rinofm]

@aidenybai they get a ton of user data from the request to fetch the font

[Rino @rinofm]

possible now: prototype your ideas as a vibe coded app, talk with users, back to the drawing board, build a new prototype, talk with users, learn, then use your human brain and the learnings to design and build a proper product

[Aaron Levie @levie]

Noticing an interesting version of gell-man amnesia where people use AI for their job and see all the various things they have to do in the “last mile”, but then look at someone else’s job and think that AI will eliminate it immediately.

We all have a much deeper appreciation for the nuances and complexities of the work that we do every day. We run into issues about accessing data, we know how much context is needed to get AI models to work the way we need, we have to review the output of the AI to make sure it’s accurate, and then we have to incorporate that work into some broader business process. We see all those steps deeply for the work that we do.

Then, a moment later, we see AI do something in a foreign space and think that it can go automate that entire function. We tend to dramatically underestimate the work that goes into making the AI work just as effectively in those jobs.

This is reason to be skeptical about many of the theories of job loss. It’s coming from the lens of being able to automate individual tasks with AI, without understanding all the work that goes into doing the job fully.

[European Commission @EU_Commission]

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