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Masha the pigeon

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19,395 görüntüleme • 1 yıl önce •via X (Twitter)

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Datalab Introduces OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks 1 missed table row can drop an extraction score from 99% to 0%. Datalab just open-sourced OmniExtractBench to fix that. 620 documents, 4 vendor benchmarks, 1 deterministic scorer. Here's how it works. 👇 1. Pool the benchmarks 329 docs from LlamaIndex's ExtractBench, 47 from micro1, 42 from Extend's LongArray, 202 synthetic from Datalab. → Forms, filings, decks, 100+ page tables 2. Pair rows by content, not position Hungarian matching aligns table rows before anything is scored. → 100-row table, first row missed: 0% by position, 99% by content 3. 6 verdicts per value matched, misread, unfound, fabricated, invented_item, invented_field. → Every lost point traces back to 1 value 4. Nulls earn nothing Empty strings and None are dropped before scoring. → 100 padded empty fields add 0 verdicts 5. The numbers (10 configurations) → Datalab accurate: 93.85 → Datalab balanced 93.48 vs Reducto 93.47, effectively tied → GPT 5.6-sol: 95.11 precision, 84.99 recall Full analysis: GitHub Repo: Technical details: Datalab Vik Paruchuri

▲ Marktechpost AI

392,962 görüntüleme • 21 gün önce

This is how U.S. Navy fighter jets launch from aircraft carriers using a ship-mounted catapult system - and it's one of the most extreme accelerations humans regularly experience. In just about 3 seconds, the catapult slings the jet from 0 to nearly 300 mph, generating forces strong enough to pin pilots back into their seats. Modern carriers use steam catapults or the newer EMALS (Electromagnetic Aircraft Launch System) to make it possible for heavy, fully loaded jets to take off from a runway shorter than a football field. Without this system, carrier aviation simply wouldn't exist. It's raw physics, precision timing, and engineering pushed to the absolute limit

This is how U.S. Navy fighter jets launch from aircraft carriers using a ship-mounted catapult system - and it's one of the most extreme accelerations humans regularly experience. In just about 3 seconds, the catapult slings the jet from 0 to nearly 300 mph, generating forces strong enough to pin pilots back into their seats. Modern carriers use steam catapults or the newer EMALS (Electromagnetic Aircraft Launch System) to make it possible for heavy, fully loaded jets to take off from a runway shorter than a football field. Without this system, carrier aviation simply wouldn't exist. It's raw physics, precision timing, and engineering pushed to the absolute limit

Mechanical Knowledge

1,214,987 görüntüleme • 7 ay önce

Microsoft just made expensive GPUs useless. And it runs on your 5-year-old laptop. BitNet B1.58 crushes models 10x bigger using 96% less energy. Here's what changed: → Uses ternary weights (only -1, 0, +1) instead of full precision floats → 0.4GB memory usage (runs on a phone, no GPU needed) → 29 milliseconds per response (real-time fast) → Beats Llama 3 and Gemma on benchmarks while using almost no power → Free on HuggingFace, MIT license (download and run today) No API costs. No cloud bills. No data leaving your machine. ChatGPT charges per token. This is free forever. Save this video. Want the SOP? DM me. 💬

Microsoft just made expensive GPUs useless. And it runs on your 5-year-old laptop. BitNet B1.58 crushes models 10x bigger using 96% less energy. Here's what changed: → Uses ternary weights (only -1, 0, +1) instead of full precision floats → 0.4GB memory usage (runs on a phone, no GPU needed) → 29 milliseconds per response (real-time fast) → Beats Llama 3 and Gemma on benchmarks while using almost no power → Free on HuggingFace, MIT license (download and run today) No API costs. No cloud bills. No data leaving your machine. ChatGPT charges per token. This is free forever. Save this video. Want the SOP? DM me. 💬

Julian Goldie SEO

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Astra Ultra did not cook sports-grade vision AI. Gave it a 30s football clip from our subnet private track. Frame-level events, JSON, annotated video. Ground truth and the published scoring rules only after it committed. 22 predictions. 17 real events. 15 inside the action windows. 7 extras. 2 misses. Precision 68.18%. Recall 88.24%. F1 76.92%. Our Bittensor eval, SN44: 0%. Matches after timing decay: 16.538 False positives: −20.300 GT weight: 25.600 score = max(0, (16.538 − 20.300) / 25.600) = 0 Three extra take-ons and two extra tackles were 14.6 penalty points. It also misread the late interception/clearance. Rare actions pay more when you hit them and tax you harder when you invent them. Perfect timestamps on the matches still would not have cleared that bill. This was one offline replay of the published scorer. Unchanged preds. Not live latency. Not a season. The point is simpler than the arithmetic. F1 is what you post. SN44 is what you get paid on. Real matches, messy cameras, hard negatives, and a 30-second clock are not the same sport as a nice 15s clip to aura farm on Twitter.

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