Super HN

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271. Is the Interstellar Object 3I/Atlas Alien Technology?
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
272. Trump signs AI executive orders: Here's what to know [video]
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
273. LG UltraFine 6K
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
274. The Dark Factor of Personality a Theory of the Common Core of Personality Traits
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
275. 'Chuck E. Cheese' handcuffed and arrested in Florida
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
276. How We Rooted Copilot
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
277. IBM boasts new Power11 chips are stingy on power usage
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
278. Kilopx
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
279. Lying Increases Trust in Science
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
280. Ciddle – A Daily City Riddle
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
281. Intel Looking to Spin and Sell Its Networking and Edge Business
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
282. Planting bush basil near green beans naturally repels certain pests
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
283. Write "Freehold" Software
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
284. Show HN: I made a website to convert videos to article
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
285. New Trump Immigration Policy: Ending the H-1B Visa Lottery
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
286. Determinism
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
287. How do you find developers who build with passion or support new ideas?
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
288. I Made Doom Run Inside a QR Code and Wrote a Custom Compression Algorithm for It
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
289. Show HN: An AI-powered Python decorator that turns stubs into working code
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
290. A New Cause of Atherosclerosis
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
291. Chinese real-world self-driving test: 36 cars, 216 crashes, with Tesla on top
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
292. Getting started with LLVM development on Windows via WSL2
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
293. Avoid Layout Shifts Caused by Web Fonts with PostCSS Fontpie
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
294. Interview with Cloud Architect in 2025 [video]
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
295. The Economics of Airline Miles
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
296. AI writes articles at scale promoting your business
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
297. Turing Award Histories
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
298. The Great Irony of Stablecoin
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
299. Blame a leak for Microsoft SharePoint attacks, researcher insists
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…
 
300. Ask HN: Are Hikikomori Canaries in the Mine?
    TL;DR - We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation, leading to higher retrieval accuracies than with or without augmentation. It’s also simpler, faster and cheaper, and is a drop-in replacement for standard embeddings without…