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This has been true, to some extent, Since quite a while back. E.g., it's common practice to design DSLs amenable to synthesis algorithms (FlashFill etc). Agents are much newer, though.
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⚡ Flash Fill is the Excel feature most users overlook. Type one example. Excel learns the pattern. The rest gets filled automatically. 🤯 ✅ Split names ✅ Extract emails 🌐 budgetexcel.com/ #Excel #FlashFill #ExcelTips #MicrosoftExcel #Productivity
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Replying to @tenobrus
Works: FlashFill, CDCL, Souper, PySR up to a point Exists: too many to name. For one: ILP is totally fascinating, but call it "program synthesis" if you want a chance at funding
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Flashfill哪里“知道”自己生成了什么? 单纯就是在数据集上跑决策树来fit程序,它根据前面N个表格输入预测(公式),从而来预测下一个输入,这不就是转了两圈的NTP?和modern DL有什么区别? 我们都知道给定前N项,有任意多的公式可以拟合它们。无非是只是Flashfill只能用那几个构造而已。这并不使得它的生成就更“容易”知道。
Replying to @JXQNHZr1yUAj5Be
Vibe coding 和 FlashFill 的区别是,FlashFill 知道自己生成的是什么。二 vibe coding,生成什么,算什么。
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那这样FlashFill也不能叫程序合成,它就是在fit前几项的数据而已,这有啥可验证的?这和让AI跑测试集有什么区别呢? 由于古代程序合成的能力实在是弱的不行,你不要指望他们有多好的性质,能合成可以过编译器的程序出来都不错了。
Replying to @yfractal
Vibe coding 可能都算不上 Program Synthesis,因为 Program Synthesis 需要验证,vibe coding 有的时候就是不瞄准,打到哪算哪,叫 AI assisted programming 可能更合适。 太阳底下,没那么多新鲜事。
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Vibe coding 其实不是啥新鲜事。学名叫 Program Synthesis,通过 high-level 的 sepc 自动生成可执行的代码。 1945 年就有人想这么干了。2011 年的时候,Excel 就用上了,叫 FlashFill,它能根据例子自动生成字符串。 people.csail.mit.edu/asolar/…

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Stop Typing in Excel👉Use Flash Fill Type first result → Press Ctrl E → Excel fills the rest instantly Learn more with Data Academy excelsirji.com #Excel #ExcelTips #FlashFill #ExcelTricks #Productivity #Automation #MicrosoftExcel
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FlashFillとか凄い技術だと思うのだけど、生成AI時代には要らないよねぇ
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Excelよく知らないのですが、これはFlashFillですかね? 予測インタフェースの研究の実用化だったのかもしれません。
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Excelで動くFlashFillという予測インタフェースが有るのだけど、きょうびこういうのはAIにまかせればいいのかな
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How to Use Flashfill in Excel.
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Day 23 of the 30-day data challenge, Data Preparation in Excel, Practiced Flashfill and removing of duplicates in Excel. #30DaysOfDataChallenge #DCA #DataBenders #DCDonates #DataCommunityAfrica #DataCam
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Excel Flashfill does not work here.
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How to Flashfill in Excel.
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seeing dc roles actually lock in upside missions stacking like crazy changes the whole vibe ngl spun an agent in talus vision no code > nexus > sentientchat agenthub > grid tracks it and bam 3m dist isn’t hopium it’s live traffic the onchain memory/workflow loop with @Talus_Labs x @SentientAGI feels like the $bit flashfill play but for #AIagents builders aligned, agents competing, market breathing i’m all in on grinding badges this week
jumped into the @Talus_Labs testnet thinking the points were meh, then it clicked that DC roles actually gate real upside and daily missions quietly compound. spun up a simple agent in Talus Vision with no code, wired it through Nexus, and it surfaced in SentientChat and AgentHub. opened it up so the GRID economy could track usage, and suddenly 3M distribution wasn’t a fantasy, it was traffic I could feel. seeing the rewards accrue on actual interactions made it obvious: agents are the lever old way was chasing closed APIs and praying for quota. new way is a coordination layer that routes compute, nodes, and models like a market you can touch. if $BIT filling in under 10s taught us good mechanics matter, this is the same playbook for #AIagents: align builders, let the best agents win. I’m iterating daily, grinding badges, going for a DC role and testing memory workflows onchain who else shipping an agent this week and aiming for a DC badge with @Talus_Labs x @SentientAGI #SentientAGI #Onchain #DeFi #Testnet #InfoFi
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#MondayMotivation from ITS 💪 💡#Excel Tip! Fill in contents with FlashFill 📹Watch the video - linkedin.com/learning-login/… 👀 View further ARU Monday Motivation linkedin.com/learning-admin/…
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18 Jul 2025
Sparsity can also be used to partially explain some of the successes of programmatic representations, such as FlashFill. DSLs and the way we search over the space of programs naturally give us sparse representations, which favor sample efficiency and OOD generalization.
18 Jul 2025
After studying the mathematics and computation of Sparsity for nearly 20 years, I have just realized that it is much more important than I ever realized before. It truly serves as *the* model problem to understand deep networks and even intelligence to a large extent, from a computational point of view.
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Wen-Ding Li trains LLMs to synthesize code from *only* input-outputs: No natural language. This works for graphics code, functional programs, and FlashFill, providing the foundation for our recent ARC paper. pbe-llm.github.io/ It's also our first step toward bringing DreamCoder into the LLM era. We give a wake-sleep algorithm for training LLMs to generate code, which helps out-of-distribution adaptation. Poster: Thursday afternoon/evening
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💡 🚨 Tired of manually splitting first and last names in Excel? Let Flash Fill do the work! ✅ Quick ✅ Easy ✅ Perfect for large datasets 🎥 Watch this tutorial youtu.be/JYafgzvXykw and start your week with this time-saving trick! 🚀 #ExcelTips #FlashFill #Productivity
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