mager

31.9K posts

mager banner
mager

mager

@mager

Agentic Engineer @Uber 📈 Building @beatbrainxyz @prxpsxyz @loooomxyz ❤️ KLM

Chicago Katılım Ocak 2007
4.1K Takip Edilen11K Takipçiler
Sabitlenmiş Tweet
mager
mager@mager·
Just keep iterating, it will always get better every turn
English
0
1
4
395
Mads
Mads@madsf88·
made some "strava for coffee" app icons... which one is your fav?
Mads tweet media
English
60
4
207
12.9K
mager
mager@mager·
@hanshintigersjp Will the game be rained out tonight? We are visiting from Chicago and very excited to see the Tigers play! Hoping the rain isn’t too bad!
English
0
0
0
25
mager retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
English
7.8K
11.1K
147.7K
26.5M
mager retweetledi
Garry Tan
Garry Tan@garrytan·
What is GBrain? My open source project is a knowledge system, not RAG in a box. It gives agents 8 layers that work together to improve memory in a way that makes your already smart OpenClaw or Hermes Agent feel clairvoyant about who you are. Personal AI becomes possible.
Garry Tan tweet mediaGarry Tan tweet media
English
141
180
2.1K
365.5K
mager retweetledi
Chris Hutchins
Chris Hutchins@hutchins·
The AI setup that replaced every spreadsheet in my life. New episode with @illscience
English
4
3
54
102.4K
mager retweetledi
Garry Tan
Garry Tan@garrytan·
The thesis is simple: the future belongs to individuals who build compounding AI systems, not to individuals who use corporate-owned centralized AI tools. I'm trying to build these in open source so you can have them for free. That's what GBrain is.
Garry Tan@garrytan

x.com/i/article/2052…

English
145
322
3.3K
459K
mager retweetledi
okazakitomohiro
okazakitomohiro@oo_kk_aa·
ニャッキの伊藤有壱さんにお声掛け頂き、コマ撮りの展覧会に一作家として参加しています。私はコマ撮り分野ではない場所から活動をはじめて、デザインの視点でのコマ撮りに取り組んできましたが、今回初めてコマ撮り界の本丸の方々とご一緒でき嬉しいです。今6年目のマッチ撮影素材等を展示しています
日本語
527
27.4K
124.4K
5.1M
drew olanoff
drew olanoff@yoda·
Adrian Balboa Esquire Olanoff 2009-2026
drew olanoff tweet media
Euskara
69
22
459
3.5K
drew olanoff
drew olanoff@yoda·
SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN SIXERS WIN ....@SIXERS WIN
English
2
1
5
144
mager
mager@mager·
@courtney883 @tiffani I would obsessively check everyone’s away message. I used to put cryptic messages in there about my crushes.
English
0
0
1
197
mager
mager@mager·
One week until I visit Japan for my sabbatical 🙌🇯🇵 I built an app to help me learn Japanese: kotsu.org
English
2
2
10
209
mager retweetledi
ZARA
ZARA@HeyZaraKhan·
This dock turns a Mac mini into a classic Macintosh. wow
English
335
2.1K
20.2K
2.5M
mager
mager@mager·
@sm Try adding this flag when you start it: --dangerously-skip-permissions
English
0
0
1
29
Sara Mauskopf
Sara Mauskopf@sm·
omg how do I get Claude to stop asking me permission?? I changed all my settings to not ask but it still asks constantly!!!!! Gonna threaten to replace him with a human if he doesn't shape up!!
English
8
0
25
13.9K
mager retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons: 1. menugen: an app that can be fully engulfed by LLMs, with no classical code needed: input an image, output an image and an LLM can natively do the thing. 2. install .md skills instead of install .sh scripts. Why create a complex Software 1.0 bash script for e.g. installing a piece of software if you can write the installation out in words and say "just show this to your LLM". The LLM is an advanced interpreter of English and can intelligently target installation to your setup, debug everything inline, etc. 3. LLM knowledge bases as an example of something that was *impossible* with classical code because it's computation over unstructured data (knowledge) from arbitrary sources and in arbitrary formats, including simply text articles etc. I pushed on these because in every new paradigm change, the obvious things are always in the realm of speeding up or somehow improving what existed, but here we have examples of functionality that either suddenly perhaps shouldn't even exist (1,2), or was fundamentally not possible before (3). The second (ongoing) theme is trying to explain the pattern of jaggedness in LLMs. How it can be true that a single artifact will simultaneously 1) coherently refactor a 100,000-line code base *and* 2) tell you to walk to the car wash to wash your car. I previously wrote about the source of this as having to do with verifiability of a domain, here I expand on this as having to also do with economics because revenue/TAM dictates what the frontier labs choose to package into training data distributions during RL. You're either in the data distribution (on the rails of the RL circuits) and flying or you're off-roading in the jungle with a machete, in relative terms. Still not 100% satisfied with this, but it's an ongoing struggle to build an accurate model of LLM capabilities if you wish to practically take advantage of their power while avoiding their pitfalls, which brings me to... Last theme is the agent-native economy. The decomposition of products and services into sensors, actuators and logic (split up across all of 1.0/2.0/3.0 computing paradigms), how we can make information maximally legible to LLMs, some words on the quickly emerging agentic engineering and its skill set, related hiring practices, etc., possibly even hints/dreams of fully neural computing handling the vast majority of computation with some help from (classical) CPU coprocessors.
Stephanie Zhan@stephzhan

@karpathy and I are back! At @sequoia AI Ascent 2026. And a lot has changed. Last year, he coined “vibe coding”. This year, he’s never felt more behind as a programmer. The big shift: vibe coding raised the floor. Agentic engineering raises the ceiling. We talk about what it means to build seriously in the agent era. Not just moving faster. Building new things, with new tools, while preserving the parts that still require human taste, judgment, and understanding.

English
340
779
5.9K
1.1M
mager
mager@mager·
@kieranklaassen Autopilot or auto repo or self healing software or software hospital?
Čeština
0
0
0
62
Kieran Klaassen
Kieran Klaassen@kieranklaassen·
I don’t like the term software factory
English
22
1
29
7.9K
mager
mager@mager·
@sm You are very pretty!
English
1
0
10
5.3K
Sara Mauskopf
Sara Mauskopf@sm·
I’m not very pretty and got rejected a lot dating. My own husband first rejected me but I was persistent. Maybe this explains why fundraising never wrecked me…
Clara Gold@Clara_Gold

I realized fundraising was the first time in my life I got rejected at scale. And honestly, as a woman, I was not emotionally trained for it. Before the feminists come for me, let me make my point. I think the first real arena where most people experience power, desire, status, and rejection is dating. And dating trains men brutally. A lot of men learn very early that if they want someone, they have to walk across the room, risk looking stupid, get rejected, survive it, and do it again. They learn that rejection is volume, timing, targeting. It’s a numbers game. A lot of women are trained very differently. Especially if you’re a pretty girl, you don’t usually walk into a bar looking at a guy thinking: “Can I have him?” You only think: “Do I want him?”. You don’t build your identity around shooting your shot 100 times and surviving 99 no’s. You don’t get trained to ask directly, get rejected publicly, and act normal 5 minutes later. You get trained to be “chosen”. To be impressive enough that the opportunity comes to you. And then you start building a company. And the whole paradigm changes. Suddenly, everyone can say no to you. Investors say no. Candidates say no. Customers say no. And when your rejection muscle is weak, your brain does the dumbest thing possible: it makes the “no” mean something about you. That you’re not smart enough. Not compelling enough. I think this is one of the most underrated gender differences in fundraising. Not that men are inherently better at it. But a lot of them have built thicker rejection scar tissue earlier. They know how to hear no and keep moving. They know how to make it less personal. They know how to treat it like volume, timing, targeting, iteration. I didn’t. I’ve raised 3 rounds. On the surface, the story looks great: I raised with Sequoia, OpenAI, Khosla. Woohoo. The real story is less sexy: every round wrecked me. I lost 5kg each time. I probably donated a few years of life expectancy to the cap table. Because every round, I only got 1 term sheet. One. EVERYONE else said no. And when almost everyone says no, your body does not care about the intellectually correct explanation. It only hears: Maybe they’re right. Maybe you’re not that compelling. Maybe you’re not the founder you thought you were. For a long time, I thought confidence meant learning not to take the no personally. I don’t believe that anymore. Maybe some people are built like that. I’m not. 30 years of being trained to be chosen does not turn into resilience because someone in a Patagonia vest says fundraising is a numbers game. So now I think confidence is something less glamorous. Confidence is taking the no very personally. Letting it ruin your day, losing your appetite, spiraling for hours… And still taking the next meeting. Confidence is just being bothered as f*** and not letting it make you smaller. I still don’t fully believe my own BS as I’m writing this, but I guess that’s the point. Can’t wait for the next round to find out.

English
50
5
455
225.6K