Humanoid

Feeling anxious about becoming obsolete? 1. Pick a complex enough topic that will need (atleast) human supervision in the foreseeable future 2. Keep learning and digging deeper until you feel confident you’re consistently reasoning better than state-of-the-art AI 3. Repeat

işte messi böyle bir topçuydu

Xabi and Mourinho both are gonna be sacked by the end of the next season

But can you “read” code if you can’t write it. Have you ever seen an engineer who can review code exceptionally well but is not a great engineer? The programming was the way people thought and understood the model before

You might believe you should spend less time thinking about code because of AI. I strongly disagree! We’re watching this play out live where tons of AI generated code becomes a liability. At the end of the day, an engineer needs to be responsible / on call for code that gets shipped to production. If you don’t understand the system you’re trying to debug, you’re probably going to have a bad time. Yes, AI can help with all of this, if you set up the proper systems. You can have agents triage prod logs, look at errors, etc. You can speed up parts of the investigation, but an engineer needs to make the call. There might be serious customer or financial implications from that change. I expect the trend continue for trimming dependencies, vendoring code so you can modify it directly, preferring simpler systems with fewer abstractions, and spending waaaay more time thinking about system design and code maintenance. I’ve said this before, but it’s a great time to get familiar with CS fundamentals and some of the history behind what great software looks like. Many parts will be different in the coming years as AI progresses, but also a lot more than people realize will stay the same.

@ThePrimeagen You inspired me to learn go and build in go. Which language should I learn next? Elixir, Rust, or Zig?

I am remembering right now for my own sanity. There is so much peace in deep thought instead of some insane frenetic agent orchestration fever dream

Deleting a Google API key doesn't revoke it immediately. Our research found successful authentications up to 23 minutes after deletion across Google's infrastructure. During that window, attackers with a leaked key can still access enabled APIs, including Gemini. Google closed our report as "won't fix."

absolutely losing my mind that you have hundreds of international citizens who were been abducted, abused, some raped and tortured by Israel and… crickets in our news media. We are beyond “complicity” and ‘giving Israel impunity’ - its complete acquiescence and surrender.

The moment Zionists massacred a team of rescue workers in a double tap. First they killed a father and his daughter, then bombed a medical team that arrived on the scene with their ambulance

@amix3k Hire me. I need an opportunity and in return you’ll get a sincere talented engineer. github.com/FitrahHaque

One of the most wonderful things about creating products and software is to empower people. It’s all about people. That’s why these AI-driven layoffs feel so wrong. Somewhere along the way, tech seems to have forgotten what we’re meant to optimize for… This is especially hard to justify when some of these companies are making *billions* in profit. If tech keeps moving toward cutthroat efficiency at any cost, it will erode trust in the industry itself. It’s already happening as AI is getting unpopular. Lastly, I am so proud that Doist is fully independent. We are making products to empower people. We have plans to hire more people.

what if air had a surface built with WebGL shaders + MediaPipe hand tracking single HTML file, no app, no install

@xbh_artist That’s so cool. I wanna play with it. Thanks for mentioning the tools. Even better if the repo is public.

@helen_said_this @iWatchiAm A better question would be: why do you watch his movies if you can’t see the value in it? Because you’re used to wasting your time and he is not?

@iWatchiAm A better follow up question would be: “why do your movies suck so bad?”

Next time Christopher Nolan says shit like this, I would like the follow-up questions to be: “What about your assistant?” and “What privilege allows you to maintain a high profile career in 2026 without email?” and “Do you expect your employees to be reachable at all times?”

Choosing to live your life at your own pace is not everyone’s cup of tea. Nolan is him.

🇨🇦 | Canadian doctor: “We saw everything with our own eyes, Israel is lying. Be brave and declare that this crime is a genocide!”

@DrCronkenstein @NaVuddyrinOT6 @DJ_CURFEW @Cleverbilling You’re literally arguing that it’s ok to be oblivious and yet powerful.

@HumanoidBits @NaVuddyrinOT6 @DJ_CURFEW @Cleverbilling Do you think he personally picked each person. Come on man

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

People signed up for the work. Not this bs where their livelihood will depend on some execs betting on stock prices and making life altering decisions for them instead of thinking about an optimal outcome for the people involved. The money is not infinite. It will run out

@DrCronkenstein @NaVuddyrinOT6 @DJ_CURFEW @Cleverbilling yeah doesn't know the nitty gritty but proceeds to fire people claiming he KNOWS who to fire and who to keep.

@NaVuddyrinOT6 @DJ_CURFEW @HumanoidBits @Cleverbilling I don’t expect the CEO to know the nitty gritty. I’m sure it’s some refactors of architectural choke points. I don’t get the flack you’re giving him here.

@DJ_CURFEW @Cleverbilling 2 weeks to rebuilt the whole frontend? that's all there is to know how thoughtful the company is...

@Cleverbilling Last two weeks we rebuilt the frontend architecture. Leapfrog improvements coming very soon

@amedhat_ I have been thinking a simpler version of your post: things will change, but only what has a potential for profit.

LLMs will soon practically solve p!=np and the Riemann hypothesis, yet still your credit score is dumb enough to drop by 40 points when you miss a $10 payment. There’s barely any serious conversation about what it actually takes to make progress in pricing financial risk, and similarly estimating health risk, because the problem has been rarely one of lack of model capabilities. A 100 year old regression model can outperform how medical triaging works today. Lots to be said here, but there’s simply a lack of will and lack of interest in solving the the data fragmentation challenges getting in the way, and in realizing that these challenges are largely man made. As long as these impediments don’t get out of the way, the impact of AI will remain at the periphery of the real world (and confined to closed form problems).