The developers getting good output have essentially encoded their engineering standards into the context before writing a single prompt. The ones getting garbage skipped that entirely.
INNOVATION
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Real-world testing beats synthetic benchmarks for AI evaluation
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Two weeks of serious comparison is more useful than most benchmark writeups. Synthetic tests miss the friction that shows up when the task stops being clean.
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Clean Code Matters Less Than Real Impact and Audience
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A ghost town with clean code is still a ghost town. The top 1% engineer building for nobody loses to the average engineer with 50,000 followers every time.
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Forward-Drilling Robot Advances Through Solid Material
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Forward-Drilling #Robot Advances Through Solid Material
— Ronald van Loon (@Ronald_vanLoon) 7 avril 2026
by @MrLaalpotato
#Robotics #Engineering #ArtificialIntelligence #Technology pic.twitter.com/NyN6eQH1VKForward-Drilling #Robot Advances Through Solid Material by @MrLaalpotato #Robotics #Engineering #ArtificialIntelligence #Technology
→ View original post on X — @ronald_vanloon, 2026-04-07 05:27 UTC
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Built AI news aggregator without coding skills
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I built this completely with AI and don't know how to code: https://
alignednews.com/ai Generalists rule indeed. (It watches the whole AI community here on X and shows you the best posts about AI). -
AI transformation requires builders, not just consultants and slides
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This meme is funny because it exposes something real. A surprising number of companies say they want to become AI-first. Then they hire more consultants. More slides. More workshops. More people discussing transformation while very few are actually building it. That might have made sense before. It makes much less sense now. AI has already made a big part of traditional consulting work faster, cheaper, and easier: summaries, formatting, repetitive analysis, deck-building, and a lot of the copy-paste work that used to pass as high-value output. So when a company responds to AI by adding even more consultants, I have to ask: What exactly are they accelerating? Because real AI transformation does not happen in a strategy deck. It happens when builders are embedded inside the business. Close to the teams doing the work. Close to the friction. Close to the messy processes that no workshop can fix. That is where the real use cases appear. That is where systems get tested. That is where value gets created. The companies moving fastest right now are not the ones talking most about AI. They are the ones shipping. If consultants outnumber builders in your AI initiative, that is not a strategy. That is the problem. What are you seeing more of right now: companies building with AI, or companies still making decks about it? #AI #ArtificialIntelligence #BusinessTransformation #Consulting #DigitalTransformation #FutureOfWork #Innovation #AIStrategy
→ View original post on X — @pascal_bornet, 2026-04-07 05:00 UTC
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Hermes-Agent integrates Karpathy’s LLM-Wiki for knowledge management
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The LLM Wiki by @karpathy is now a built-in skill in Hermes-Agent, give it a try Teknium (e/λ) (@Teknium) Hermes Agent now comes packaged with Karpathy's LLM-Wiki for creating knowledgebases and research vaults with Obsidian! In just a short bit of time Hermes created a large body of research work from studying the web, code, and our papers to create this knowledge base around all of Nous' projects. Just `hermes update` and type /llm-wiki <research x> in a new message or session to begin 🙂 github.com/NousResearch/herm… — https://nitter.net/Teknium/status/2041370915012071577#m
→ View original post on X — @scobleizer, 2026-04-07 04:53 UTC
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Google Apple AR glasses competition data advantage exclusive content
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No one will care. Google's glasses come in October. It has all my data. Magic Leap does not. Apple comes next year. It has Formula 1 exclusive. No one else will be able to compete for rich people.
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Milla Jovovich co-develops record-breaking AI memory system MemPalace
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Milla Jovovich has a Github 😏 She's co-developed the highest-scoring AI memory system ever benchmarked with @bensig Totally free and OSS. What a boss. Ben Sigman (@bensig) Excited to announce a new open-source, free-to-use memory tool I have been developing with my good friend @MillaJovovich. The project is called MemPalace and it is an agentic memory tool that scored 100% on LongMemEval – the industry standard benchmark for memory… this is higher on than any other published results – free or paid – and it is available now on GitHub. You can check out Milla’s video about it on her Instagram. I’ll also put some links in the comments below – please try it out, critique it, fork it, contribute to it – and join our discord. — https://nitter.net/bensig/status/2041229266432733356#m
→ View original post on X — @ceobillionaire, 2026-04-07 04:48 UTC
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Training AI Agent Takes Two Months Success
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Thanks! It took two months to train my agent to do it.