grbsh

22 ms·

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I Hate My Friend(wired.com)
3 points by grbsh 1y ago|0 comments
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by grbsh 1y ago
The fundamental frustration most engineers have with AI coding is that they are used to the act of _writing_ code being expensive, and the accumulation of _understanding_ happening for free during the former. AI makes the code free, but the
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Show HN: Knowledgework – AI Extensions of Your Coworkers(knowledgework.ai)
8 points by grbsh 1y ago|2 comments
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Nat Friedman – Some things I believe(nat.org)
5 points by grbsh 1y ago|0 comments
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Show HN: Baml_vcr -Record your LLM calls and play them back during tests(github.com)
2 points by grbsh 1y ago|0 comments
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by grbsh 1y ago
Why not just use Claude by itself? Opus and Sonnet are great at producing pixel coordinates and tool usages from screenshots of UIs. Curious as to what your framework gives me over the plain base model.
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by grbsh 1y ago
I recently got the Pavlok device to stop a bad habit - compulsive nail biting. It worked extremely well! It works less well for thinks like distraction, because you have to manually trigger the negative stimulus. I find the prospect of an A
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Show HN: Screenshock.me – Zap yourself into being productive with browser AI(screenshock.me)
3 points by grbsh 1y ago|1 comments
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Knowledgework: a digital second brain for your work(knowledgework.ai)
3 points by grbsh 1y ago|1 comments
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by grbsh 1y ago
Knowledgework is AI that can actually save you time, make you better organized, and do better work. Knowledgework is the answer to question, “Why isn’t ChatGPT more useful for real-world work tasks?” While ChatGPT is a better Google search,
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by grbsh 1y ago
Ooh, I really like the idea about deciding whether to use the big or small model based on task specificity.
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by grbsh 1y ago
I know moondream is cheap / fast and can run locally, but is it good enough? In my experience testing things like Computer Use, anything but the large LLMs has been so unreliable as to be unworkable. But maybe you guys are doing someth
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by grbsh 1y ago
Why would you ever hire a human to perform some task for you in a company? They're known for having problems with ambiguity and precision in communication. Humans require a lot of back and forth effort for "alignment" with re
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by grbsh 1y ago
It's a great point that this is how we primarily used to interact with businesses and services, but we've moved on. For Gen-Z, e.g., many will refuse to use the product or service if they have to speak to an actual human. Just lik
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by grbsh 1y ago
I think we can have the best of both worlds here. We want the precision and speed of using vi commands, but we want the discoverability of GUI document editors. LLMs may be able to solve the discoverability problem. If the editor can be hig
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Show HN: BlinkAlarm - Prevent eyestrain, dryness with real-time computer vision!(github.com)
4 points by grbsh 1y ago|0 comments
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by grbsh 1y ago
Tesla / Waymo is a perfect illustration of the point, but the Bitter Lesson doesn’t allow us to pick a winner here. The Bitter Lesson tells us that the Tesla approach (fully end to end, minimizing hand coded features / logic) will
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by grbsh 2y ago
“The vast majority of our work is already automated to the point where most non-manual workers are paid for the formulation of problems, social alignment in their solutions, ownership of decision making / risk, action under risk, and s
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How to inference-time compute scale your human software engineerin(speculativeinference.bearblog.dev)
2 points by grbsh 2y ago|0 comments
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by grbsh 2y ago
How will this be gamed for neo-seo spam?
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by grbsh 2y ago
Is this more than just ChatGPT with search API resulted concatenated the prompt? It feels like it might be. It feels tasteful in the same way that Apple ecosystem integrations just work really nicely and intuitively. But then again, there i
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by grbsh 2y ago
I think this is a bit short sighted, but I’m not sure how short. I suspect in the future, code will be something in between what it is today, and a build artifact. Do you have to maintain bytecode?
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by grbsh 2y ago
I think there is something deeper going on: “coding” is actually 2 activities: the act of implementing a solution, and the act of discovering the solution itself. Most programmers are used to doing both at once. But to code effectively with
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by grbsh 2y ago
> limits of the human mind when more and more AI-generated code will be used We already have a technology which scales infinitely with the human mind: abstraction and composition of those abstractions into other abstractions. Until now,
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Ask HN: How to improve program design / abstraction ability? Resources?
2 points by grbsh 2y ago|1 comments
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by grbsh 2y ago
I feel the exact same! I built this tool to make it much easier for me to bring LLMs into existing workflows: https://github.com/gr-b/repogather It helps find relevant content to copy to your clipboard (or just copies
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Show HN: Jsonltui – CLI to inspect large JSON files and localize parsing errors(github.com)
4 points by grbsh 2y ago|0 comments
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Show HN: Jsonltui – Fast TUI and webui to inspect and debug parsing JSONL(github.com)
4 points by grbsh 2y ago|0 comments
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LLMs are variable ambiguity, variable precision compilers(github.com)
1 points by grbsh 2y ago|0 comments
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Show HN: Peripheral – test and train peripheral vision in browser(github.com)
5 points by grbsh 2y ago|0 comments

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