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Ronan Berder
@hunvreus
I have no idea what I'm doing. ๐Ÿ“• ๐ŸŽจ ๐Ÿ“ /โ†’
995 Following    3.6K Followers
Complexity and specialization are making you and your agent retarded. I've been looking at a lot of coding setups lately. People are recreating everything that makes developing in large orgs a miserable experience: hyper-specialized roles, overly rigid processes, heavy documentation, ... Why would you want to be cycling through 25 skills, each with 10k+ words? Why would you want to create hyper-detailed specs upfront? We've tried this a thousand times. It doesn't work. The Agile Manifesto was all about that. If you've never read it, please do: And while you're at it, also read The Grug Brained Developer: LLMs are autistic savants. Stop micromanaging them. Do what you'd do with a talented senior engineer: give them a high-level direction, communicate your preferences, and get out of the way. What they suck at? They're highly agreeable, have (ironically) no agency, and poor taste. The good news: humans are quite good at filling in that gap. Focus on that instead.
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Apoligies @swyx for videobombing your interview with my son...
The X algo favors consistency, engagement, dwell time, and penalizes negative signals (e.g. mute). No surprises there. I come to X to read the unfiltered thoughts of folks smarter than me. I hope X keeps better at surfacing original, raw content.
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i asked codex to analyze the new x algorithm and find the new meta strategy for posting on x this is what it said: Make posts that get fast, real engagement from the right niche, without creating negative feedback. The algorithm is trying to predict whether each viewer will like, reply, repost, click, dwell, watch, follow, or negatively react. So virality is not just "get likes." It is more like: "Can this post reliably make the right people stop, react, and pass it on?" Practical strategy: 1. Pick a clear lane The system uses topic signals. If you post randomly across politics, AI, memes, fitness, investing, and personal updates, the model has a harder time knowing who should see you. A focused account is easier to route into the right audience. 2. Optimize for replies and reposts, not just likes A viral post usually gives people a reason to say "true," argue, add an example, quote it, or send it to someone. Strong formats: "Most people think X, but actually Y." "Here is the mistake everyone makes with X." "I tested X so you do not have to." "The uncomfortable truth about X isโ€ฆ" "If you are doing X, stop doing Y." 3. Get dwell time The model cares about whether people pause. Use a strong first line, then enough substance that people actually read. Good posts often have: > a sharp hook > short lines > one clear idea > a payoff at the end 4. Avoid negative reactions The model also predicts "not interested," mute, block, report, and not-dwelled. Engagement bait can work short term, but if people quickly scroll past, mute, or mark uninterested, it hurts distribution. 5. Use media when it genuinely adds value The system has video/media signals. A chart, screenshot, demo, short clip, before/after, or visual proof can increase dwell and reposts. Random images probably do not help much. 6. Post into active moments Since the feed uses recent behavior and served-history memory, early traction matters. Post when your target audience is awake and active. The first audience teaches the system who else should see it. 7. Make the post easy to classify Do not be too vague. If the post is about AI agents, say AI agents. If it is about NBA, say NBA. Clear topical language helps routing. 8. Build a repeatable content shape Viral accounts often repeat formats: > strong opinion > useful teardown > simple framework > data-backed observation > story with lesson > visual proof > timely reaction inside a niche The current "meta" is probably high-signal niche posts with strong reply/repost hooks and low spam smell. Not generic motivational posting, not pure engagement bait, not random trend-chasing. The algorithm looks increasingly context-heavy: > who the user is > what topics they follow > what they recently engaged with > what they already saw > whether your post creates real positive behavior
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letโ€™s compare two governments side by side singapore gov (this post) australia gov (tweet below) tired: albo ๐Ÿ‡ฆ๐Ÿ‡บ wired: forward deployed minister ๐Ÿ‡ธ๐Ÿ‡ฌ
Not sure who at Cloudflare thought it was a great idea to switch to this monstrosity instead of the menubar it was using before. Not cool man.
Don't want to dunk on Singapore, but with the AI Engineer conference being in town, my timeline is flooded with delusional takes. The reality is that Singapore is mostly a trading hub. It's incredibly well-run, tax-friendly and great for young families. But it isn't some sort of technological utopia. The density of talent, ambition, and success is nowhere near what you would find in SF, NYC, London or Beijing. "But it's a massive market for Nvidia and Claude!". Yeah, it's a pass-through for China. How do you think the Chinese got their hands on AI chips? How do you think they distill models from OpenAI and Anthropic? "But what about Manus?". You mean the Chinese company? Whose founders are currently barred from leaving Beijing? For tech companies, Singapore is mostly a sales office for APAC. They may have some FDEs and devrels, but they don't do serious product or research work here.
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Right, "Singapore". 100%. Not China, that'd be crazy. Especially since I keep hearing their tech is just as good if not better than the US.
It appears Singapore is now #1# user of Claude in the world. GIC also led the $30 Billion Series G in Anthropic, by the way. Majulah. Singapura.
This is insane!!! Someone just created a tool for Claude that lets it take any image and not just generate an environment, but individual meshes with physics and an ambient sound layer. Unreal, blender ready, etc.
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Finally, I'll be able to go out with my wife and write code in a corner rather than socializing. Permanent autistic introversion achieved!
Codex in the ChatGPT mobile app!
Is Open Source fucked? If you build anything and it instantly get copied and used as training data, can you even gain market share? Why would you even maintain the project when you're overwhelmed with slop PRs and CVEs ? And even if you get some level of traction, how do you monetize when any random shmuck can ask its agent to set things up on AWS or Cloudflare? Building and releasing an open source project used to be challenging. You had to write docs. You had to think about how to make onboarding as easy as possible for new users. You had to make sure what you shipped was reasonably safe to run. You had to prioritize features and bug fixes. The bar is much lower now. I suspect the quality is too, but it doesn't matter to end users if it solves their problem.
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With AI, I have no idea what Open Source is going to look like 5 years from now. I'm sure folks like @mitchellh, @badlogicgames or @zeeg will keep on making interesting stuff. But for the average contributor, the barriers to entry are probably gonna look very different. Anyone with a bit of experience, taste and time can whip out something in a weekend. The bar used to be much higher. Documentation alone would make the difference between a popular library and a dead one with 3 stars on GitHub. And how much harder is it going to be to create a viable business with Open Source. You can monetize infrastructure or enterprise support, but is it that valuable once AI can take care of that too?
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Met another French founder today who just want to get the fuck out of France. Smart, successful, ambitious. Sold his first SaaS last year. Will probably go on to start more companies. France is working really hard to chase folks like him away: - Up to 63% of the cost of an employee goes to the state (75% if you're a "super earner"), - Almost 32% in capital gain taxes, - Subpar social services ("free" healthcare doesn't mean good), - Crippling red tape everywhere, - Poor funding environment. And even if you make it, you'll be hated for your success and ambition. France was way ahead in the 70's in pretty much any field you could think of: software, nuclear, telecoms, manufacturing, aerospace, agriculture, ... We spent the next 50 years doing a little bit more socialism every single year and are now incapable of change. We still have amazing talent. But the best ones just leave. I used to be upset. Now Iโ€™m resigned. I hope the rest of the world looks at France as a cautionary tale: donโ€™t listen to the commies.
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Got my ugly mug in an edition of Open Source CEO by @bill_kerrrrr a couple of weeks back. If you're wondering what's wrong with me, that may help clarify things...
AI sucks at writing skills. It's too verbose, not MECE, mixing details with high level concepts... You shouldn't let your AI write your AGENTS.md or skills, over time the slop will compound. You can have it draft something, but aggressively prune and edit.
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