Daniel Mata

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Daniel Mata

Daniel Mata

@DanielMata__

Programador. comida, jueguitos y fotos de mis gatos. He/Him

Buenos Aires, Argentina Katılım Temmuz 2016
664 Takip Edilen191 Takipçiler
Daniel Mata
Daniel Mata@DanielMata__·
Bueno al final la respuesta para perder peso era tener cálculos en la vesícula
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Daniel Mata
Daniel Mata@DanielMata__·
@m4kebois @printmaga No tanto limpiar pero existir en un espacio limpio o al menos menos caótico. Como que te saca un peso de encima
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chapita roan
chapita roan@m4kebois·
@printmaga ay no, en serio? lo del gym lo entendí con el tiempo y me re gusta. pero me niego a creer que limpiar me haga sentir mejor
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maga
maga@printmaga·
Ayer limpié a fondo la casa y admitir que esto te alínea los chakras tanto como hacer ejercicio me da un enojo de la gran siete
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Daniel Mata
Daniel Mata@DanielMata__·
Por fin me paso, estoy en el bondi y va uno viendo reels a todo volumen, estoy que me bajo y camino las últimas 20 cuadras
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Daniel Mata
Daniel Mata@DanielMata__·
@CuarteDeMenta Y considerando las historias de minas que llegaban de laburar o cursar y el novio les preguntaba que iban a cenar la verdad que la vara está en el infierno directamente
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Daniel Mata
Daniel Mata@DanielMata__·
@chiguire Que yo sepa en Europa siempre han sido rhythm paradise, no se porque le tuvieron miedo al heaven (?
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Ciro Durán 🎏
Ciro Durán 🎏@chiguire·
Así que Rhythm Heaven Groove en UK por alguna razón es Rhythm Paradise Groove. Algún trademark debe estar andando por ahí echando vaina
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pablo
pablo@fernandezpablo·
pablo tweet mediapablo tweet media
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Adam Rackis
Adam Rackis@AdamRackis·
No clue what ClickUp does but feeling relieved I don’t use it 😬
Zeb Evans@DJ_CURFEW

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.

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Daniel Mata
Daniel Mata@DanielMata__·
@katieguo @sonicjumpergg @TFTLatam Since you’re here, legion of threes is also wrong in latam Spanish, or at least uses really confusing wording. It says that all your champions and 3 cost with emblems get the bonus where English says it’s the other way around
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Sonicjumper
Sonicjumper@sonicjumpergg·
Hola @TFTLatam Veo que este aumento dice que tu equipo obtiene un 5% de velocidad de ataque, pero el aumento en inglés dice que obtienes 5% de daño de ataque (y ese es el efecto) No se si se tiene en el radar ya que puede confundir a varios jugadores que juegan en español
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Daniel Mata
Daniel Mata@DanielMata__·
@m4kebois Yo voy a las 11:30 y está tranqui, mediodía en general suele estar bastante vacío. Un día fui 5 pm y estaban todos los pibes que salían del secundario me podía morir
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chapita roan
chapita roan@m4kebois·
viernes 6/7 pm el gimnasio vacío. descubrí el ORO. que otros dos horarios puede estar con poca gente? sábados a la mañana? mediodía? en la semana no se me ocurre AYUDA
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Daniel Mata
Daniel Mata@DanielMata__·
@_meme En ese lugar te hicieron el diagnóstico también? Tengo tiempo queriendo diagnosticarme y ver si me trato porque la procrastinación me va a matar
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meme 💚
meme 💚@_meme·
Estoy haciendo terapia con un neuropsicólogo que me está ayudando con el TDAH y la procrastinación, y en lo único que puedo pensar es en que el pobre estudió una banda y me está enseñando a mí técnicas para hacer las cosas más mega boludas del mundo (que igual no me salen).
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Daniel Mata
Daniel Mata@DanielMata__·
@nays1_ Que me mande un Aram mientras el agente labura. Entendido
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Nahue Alberti
Nahue Alberti@nays1_·
AI created a new type of engineer: The Scrolling Engineer In the last couple of weeks I’ve seen a lot of engineers doing the same loop: prompt → scroll Twitter/TikTok/Instagram until the model finishes → prompt again. Sometimes they’re not even parallelizing work. One terminal tab, one prompt, then 5–10 minutes of waiting while they scroll. Some don’t even think about the problem. They just copy the requirement and paste it into the terminal. I mean, I’ve prompted while running or exercising. But if you’re actually working, you should understand the need, ask questions, think about the solution, and parallelize across bugs, features, and fixes. There’s a lot you can do while the model runs. Scrolling engineering is just laziness. And it’s not very future-proof either. How long until the person assigning the task just does it themselves? Think about what you’re trying to accomplish. Orchestrate agents. Use judgment. Do better work. I don’t know, even go exercise. But doom-scrolling while you’re “working” just makes you dumber. Focus. Judge. Think. Don’t be a scrolling engineer.
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