love building weird stuff

Rome, Lazio
Every web scraping vendor claims a 98–100% success rate. We tested 15 of them against 90 real sites. Same harness, same URLs, 6,750 live requests The actual range: 33.3% to 95.8%. They can't all be right. So we open-sourced the whole thing - targets, harness, adapters 👇
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Our Web Access API was the best. You can test yourself here: github.com/usestring/web-dat… If we configured your provider wrong, open a PR and I'll rerun it.
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Full writeup: usestring.ai/blog/web-scrapi… The thing being measured is our Web Access API. Any URL → clean markdown. Free key, first 5k requests: usestring.ai MCP: npx -y @usestring/mcp
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Dias Khalniyasov retweeted
Every web scraping vendor claims a 98–100% success rate. We tested 15 of them against 90 real sites. Same harness, same URLs, 6,750 live requests The actual range: 33.3% to 95.8%. They can't all be right. So we open-sourced the whole thing - targets, harness, adapters 👇
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2026 predictions: 1. agent swarms on hype 2. OSS LLM gpt5 level (deepseek please) 3. new standard coding + comp use benchmark (swe bench like) 4. eval building agent prototypes (we need it)
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2025 predictions: 1. AI agents overhype (but no major progress in fact. Maybe 15-20% improvement but no “iPhone moment”) 2. Researchers focused on building new benchmarks 3. Strong VLM base models appear 4. Models’ pricing cut 5x I hope grokking in transformers will have results
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1. actually opus4.5 was kinda an iPhone moment 2. idk why I said that, its obvious 3. gemini 2.5 pro, 3 were pretty in general tasks 4. didn't happen
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Dias Khalniyasov retweeted
Pretty surreal to get a shoutout from @auren on his podcast with @yipitdata CEO @vacanti! Public web data is getting exponentially harder to access. At String, we're helping customers stay ahead of that curve so they don’t have to think about antibots, proxies, or really any of the complexity behind the scenes. This is also one of the most insightful alt-data conversations I’ve listened to. Vinicius’ emphasis on actual business value, not just selling data, is likely why Yipit is the only unicorn in the category. And Auren’s questions were incredibly useful from a founder perspective. Excited for the sequel!
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Dias Khalniyasov retweeted
Anyone else being incorrectly double charged by @cursor_ai? Second time this is happening, now I'm being blamed for subscribing to the same product twice (I didn't) and had my account suspended because I didn't pay for the same thing twice. emails in the thread
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Dias Khalniyasov retweeted
🚀 We just launched Zencoder on @ProductHunt! It's a coding assistant that works for engineers. Our deep understanding of the codebase, agentic pipeline, and 20+ integrations make Zencoder a true dev assistant, not just another AI tool. 👉Show some support and share feedback here: producthunt.com/posts/zencod…
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Dias Khalniyasov retweeted
dropped some post about measure theoretic foundations of policy gradients myxik.github.io/posts/measur…
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Dias Khalniyasov retweeted
Audio is all you need?🔊 A lot of the latest AI models push the boundaries for music/audio generation. Here are 6 new models that were launched this week. 🧵
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This audio generation papers this week make me wanna go full in academia after MSc
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I wonder how latent diffusion can be applied to audio domain. Signed up for stability ai beta, waiting for beta release next month!
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I meant harmonai. This is gonna be huge 😬
Dias Khalniyasov retweeted
The Prismatic Desert
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Dias Khalniyasov retweeted
This is a really early preview version, but I was having too much fun with it to keep it from y'all. (All of it is subject to change) Disco Diffusion v4 Preview Version [w/ Zoooming and @chigozienri keyframes] colab.research.google.com/dr…
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Dias Khalniyasov retweeted
We can already emulate existing audio effects, but how can we create NEW and controllable effects with neural networks? We propose a simple method in our latest work to appear at the NeurIPS @ML4CDworkshop. Let's go over some of the details in this thread 🧵
Steerable discovery of neural audio effects abs: arxiv.org/abs/2112.02926 project page: csteinmetz1.github.io/steera… github: github.com/csteinmetz1/steer…
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Pre-NASH workshop was great, RAVE from @antoine_caillon is really impressive, @dadabots gave good insights on using NAS in industry, and also @Ilaria__Manco’s Word2Wace gave promising results. Big thanks to all the speakers!
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