🇦🇺🇺🇸 Software engineer, runner, traveler – learning, tinkering, building stuff 👊🏻 https://xitter.cf/t.co/1wALgHHUF4 ⛰️ https://xitter.cf/t.co/NtlmVie0Lw

Colorado
Joined October 2018
Taking my first ever @Waymo in Phoenix! This is so cool!!
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Oliver retweeted
Best way to sandbox an AI is to put it on a Delta flight – it will have no chance of accessing the Internet!
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Replying to @mcmullenpropSF
sf can build agi but it can't build an apartment
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Oliver retweeted
the right way to use model capabilities is not to ship 10x more features to prod it's to spend more time understanding your users, trying experiments, building prototypes, learning about things you don't understand so that you can ship things that actually work
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“People are working 12 to 13 hours a day just to press enter.” We are turning an entire generation of technical experts around the world into the equivalent of retirees pushing a button in front of casino slot machines. Essentially the brain rot of doom scrolling social media is coming for your development team… This will have lots of long run implications on companies. Most important of which, is that it will make existing moats even more brittle. The value of automated software is not making the software faster. It is understanding your intention and making the software BETTER. Better edge. Better design. Better alpha. But if you don’t slow down and map out your intention, you will just make your shitty code faster. We built 8090’s Software Factory to do this: when execution is a costless commodity, what really matters? Over time, companies will realize that it’s: 1. Intention 2. Governance 3. Verification 4. Evidence This is what will separate orgs consuming tokens and companies encoding their edge. This generally requires top down leadership from the CEO to the CFO/CIO. Bottoms up tool adoption only increases costs and accelerates slot machine behaviors. Good luck to all the players.
I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
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Slop grenade. Love it. Haha
Lazy work used to mean too little output. Now, with AI, it often means too much and more work for everyone else. @tobi call it "slop grenades." A "Slop Grenade" is when you let AI produce the work and pass it on without adding any value (including checking it). Someone else has to wade through it, catch the mistakes, and clean up the mess. You save time and look productive but someone else pays for it.
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Oliver retweeted
All the regulations being floated by frontier model companies must be viewed through the lens of them losing tokens to Open-Source models. The timing of these regulations seems to line up perfectly with Open Source closing the gap significantly (but not completely) — and @nvidia going all in on open source in the last 60 days. If we’re gonna regulate, why don’t we require that last year’s frontier models and weights be open-sourced?
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
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Two years at DoorDash. I do not say this lightly. We are extremely close to the burrito arriving before you decide you want it. We are not asking for a ban. We are asking for a pause.
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I think iPhone Duo just made the Vision Pro mistake… A novel device with no clear use case that's too expensive for the average person No adoption = less developers building on it No developers = no "killer app" or clear use case It's a shame because Apple makes beautiful tech that looks like magic These things deserve to be in more hands. But that price is just too hard to justify without a clear reason why
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Oliver retweeted
facebook marketplace mcp will create a new generation of millionaires.
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And for Astra's first act, it'll take down all the data centers ....
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Amazing time to be detailed oriented and product focused, you can bring your ideas to life with ease!
Just built my first Omarchy plugin! This also happens to be the first piece of software I've ever made solo entirely with AI. Back-and-forth over English and nothing else. So two firsts for me. Super fun experience. Here's a quick little tour. Hope you dig it.
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Wow, awesome!
Grok Bot can now buy things on the internet. To get started, connect @link, send your Bot shopping, and it can complete purchases on your behalf.
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Wow! This is a huge jump. Kimi K3 got a lot of attention, but Qwen3 27B is smarter and drastically smaller!
Qwen3.8 27B literally broke the SIZE → INTELLIGENCE curve. Look how far left it is in the optimal quadrant. Crazy that a 27B model is sitting on the Pareto frontier like that. This RESETS expectations for what you can run on consumer hardware.
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Oliver retweeted
Someone needs to start a Kickstarter for agents funded with tokens. Then people could post projects like "Pixel-perfect Excel for Linux (clean room!)" and you could be like "I'll chip in a 200m tokens, thanks".
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Human judgement in engineering is ironically even more crucial now. Deciding what to build. Deciding on the right architectures. Deciding whether you regenerate from scratch $$$ or reuse existing legos. Managing tech debt. You can do anything now, but you can't do everything.
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Oliver retweeted
Among the other things AIs will get better at is recognizing AI-generated text. Presumably writing generated by this year's models will be easy to catch in a few years. Prediction: This will cause huge scandals in academia, as published papers are later exposed as AI-generated.
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I will pay good money for new AI generated episodes of The Office. I'm not joking. $20 per episode.
Claude's first day at Dunder Mifflin
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