Why are AI Agents exciting? Even after a year of AI hype , integrating AI into our day-to-day workflows remains challenging. For example, it is not straight-forward to get an AI to repeat a task over a large spreadsheet, or to look at every incoming email – extract relevant
@jiquanngiam
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Workflow Improvements and Major UX Overhaul Coming Soon
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We've been making a lot of improvements including improving how the workflows are generated. The big change that's coming soon is a UX overhaul. I'm personally very excited for it — it's simpler, more intuitive, and easier to work with.
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Names Are All You Need: Model Sensitivity to Naming
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Names are all you need. We noticed the same – the models are very sensitive to naming (function names, fields,…) even more so than descriptions.
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Lutra AI: Slack-integrated automation platform simplifying workflow scripting
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Thanks for sharing how this works! We’re building a platform that is pre-integrated with slack, gsheets, and allows you to make scripts like this. If you’re tired of getting these working in Zapier/want a simpler solution, check it out @Lutra_AI
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Making AI Systems Usable: The Challenge Ahead
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The challenge we have today is how to make such a system usable, and it's definitely coming soon. Exciting times.
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Gen AI translates English requirements into executable programs
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Gen AI bring us one step closer to this world — where we can express requirements in English, and use models to translate them to programs. When used as part of a program, they allow us to work with unstructured data, and provide a way to deal with uncertainty.
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English-Based Programming: Seven Decades of Computing Evolution
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It's credible how far we've come — just over seven decades later since she invented A-0, COBOL. English-based programming has the potential to give all of us superpowers in how we work with computers.
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H100 GPUs Named After Grace Hopper, Computing Pioneer
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H100s are named after Grace Hopper, computer scientist and US navy rear admiral. She invented the first computer compiler, with the belief that programming should be English-based. "So I decided data processors ought to be able to write their programs in English, and the
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Simplifying Complexity: Retaining Only What Matters
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Totally agree, it's easy to move complexity around. It's harder to actually simplify yet retain only what's crucial.
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Simplifying Data Flow Visual Programming Beyond Spaghetti Diagrams
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Data flow based visual programming always felt more complicated than it needs to be. Every variable becomes an edge (line) in the graph, and it quickly looks like spaghetti. We can do better.