mat 🇨🇦 @mat_MTO

coworker told me we need to run some "smoke tests"

Rhys @RhysSullivan

5 days ago

Horrifying to be listening to a human being speak and realize they’re just a vessel for Claude

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@juxndie @HumanityChad If he did not stand at the podium, then it would have looked like a two person bracket. This would have sent the (wrong) message that the second place guy just lost to the first place one.

Let’s hope for the best

Polymarket @Polymarket

3 weeks ago

JUST IN: Royal Bank of Canada CEO reveals AI now gives him reports “in about four seconds” that used to take a week.

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@hkarthik The 🐐 responded 🙏🙏 thank you and I look forward to reading more of your posts

Great time to be working in search

Raúl Galera @raulgalerad

a month ago

this was one of the most interesting reddit posts i've seen in reddit marketing in a long time. traditional search is so dead.

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The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation). Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there. Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI. As a result, 1. The corporate ladder looks like the wrong building to climb. Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more. 2. There’s a deep malaise about work (and its future). Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire" 3. The mid to late middle managers feel paralyzed. Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies. 4. The rich aren’t particularly happy either. No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money." I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here. Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success". Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.

@adxtyahq Senior swe at Linkedin is similar to E4 at meta

@BubbleBuddyBish @BecomingCritter It's an outdated concept of how to train dogs, debunked a long time ago. The guy who popularized it, David Mech, later found problems his original study with the captive wolves, and has since spent the rest of his life trying to undo what he created.

@eshear Was this recorded anywhere? I'm sad that I missed it.

@chongdashu I've been running into this exact problem this week (sprite generation) and the feed algorithm has blessed me! Followed!

Web gaming is about to get very big. Within the next couple of years we will likely see a new “Newgrounds-style” ecosystem emerge. A web-native distribution layer for games that competes with platforms like Steam. There will be plenty of low-quality content at first, but the best projects will rise quickly, just like they did in the early internet era. Several trends are converging at the same time. WebGL and browser graphics are improving rapidly. Advanced shaders, GPU pipelines, and even server-side rendering make it possible to stream sophisticated visuals without requiring a powerful GPU on the player’s machine. At the same time, developers are increasingly frustrated with traditional distribution. Shipping to Steam means surrendering roughly 30 percent of revenue and operating within a closed ecosystem. The web offers a path to direct distribution and ownership. But there’s something more interesting going on. Games are becoming large-scale simulations. At their core they are agent-based models (ABMs), which are just systems where thousands or millions of actors interact according to rules and generate emergent outcomes. This is an area researchers have been exploring for decades, especially institutions like the Santa Fe Institute. Now these same ideas are colliding with modern AI and massive compute. The result will be a new kind of platform where games double as large-scale simulations of economics, warfare, industrial systems, and social behavior. Mass-scale agent orchestration inside persistent worlds creates enormous datasets for strategy, game theory, and machine learning. The intersection between gaming, AI, and simulation may end up being one of the most valuable technological frontiers of the next decade.

"trillion token stare" lmao

goosewin @Goosewin

5 months ago

when you ask a vibecoder what they've actually built and they hit you with that trillion token stare

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This is the best and most reasonable "anti-LLM" take I've ever read.

Will Manidis @WillManidis

5 months ago

x.com/i/article/2021…

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A lot of people are feeling this way, and it really is because their identity is tried to tools and process, and not to the outcomes. I was never a good programmer. I failed my CS courses multiple times & ultimately got the bare minimum passing grade. I don't do software design book clubs, I don't contribute to OSS, I don't participate in advent of code, I don't do hacktoberfest. That's not to say I don't write good code, but my identity is not tied to artisanally handcrafting software. What I'm very good at is looking at a pile of problems and just solving them any which way needed, better than most people I know, and lucky for me that just so happens to line up with what makes someone a good principal engineer. Outcomes, not tools.

Madison Kanna @Madisonkanna

6 months ago

as a software engineer, i feel a real loss of identity right now. for a long time i defined myself in part by the act of writing code. the pride in a hard-earned solution was part of who i was. now i watch AI accomplish in seconds what took me hours. i find myself caught between

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@tenobrus I always forget to not debug while I'm tired mteoh.com//blog/dont-deb…

One interesting result of using modern coding tools is frequently if you don’t know how to *do* the orthodox solution but you can *name* the orthodox solution, that gets you there.

Mitchell Hashimoto @mitchellh

6 months ago

It's pretty cool that I can tell an agent that CI broke at some point this morning, ask it to use `git bisect` to find the offending commit, and fix it. I then went to the bathroom, talked to some people in the hallway, came back, and it did a swell job. ampcode.com/threads/T-019b…

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This is really good, and worth reading in full - it's the best articulation I've seen yet of the idea that driving down costs involved in producing code will increase demand for software and let us take on much more ambitious projects

Addy Osmani @addyosmani

6 months ago

Every time we've made it easier to write software, we've ended up writing exponentially more of it. When high-level languages replaced assembly, programmers didn't write less code - they wrote orders of magnitude more, tackling problems that would have been economically

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for what the monkey considers business the horse considers play

Anyone else out there vibe circuit-building?

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