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Liberty sink Mercury thanks to crazy 23-point run run to snap three-game skid
If you’ve ever opened Chrome DevTools, or optimized a page for Core Web Vitals, you’ve used software built by @addyosmani. Timestamps: 00:00 Intro 02:50 Addy’s current workflow 05:11 Addy’s path into tech 15:04 Addy’s work on jQuery 16:44 TodoMVC 21:44 Getting hired at Google and working on Chrome 27:17 Building dev tools 40:15 Core Web Vitals 45:42 Google’s engineering culture 51:03 Addy’s career trajectory at Google 57:55 The director role at Google 1:01:40 Cognitive debt and cognitive surrender 1:03:03 Working with agents 1:05:52 Loop engineering 1:12:55 The changing role of the software engineer 1:18:15 How Addy uses AI in writing 1:27:40 What’s next for Addy 1:28:47 Career advice Brought to you by: • @AntithesisHQ – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. Teams like Jane Street, and the etcd community use Antithesis to ship better code, faster. • @sentry – application monitoring software considered “not bad” by millions of developers. • Google Cloud Run – run untrusted agent code without the security anxiety. Cloud Run sandboxes deliver hyper-isolated, ephemeral execution environments that spin up in milliseconds. Check them out: Here's Addy's advice on where he believes engineers should invest efforts, in the coming years, in his words: “What we are very likely to see happen next with engineering careers (as well as product and other roles) is the unbundling of them, so that an engineer also has product sense, while a product person also has engineering sense, or UX sense. You should think about the non-engineering things if you don’t [usually] have the time to think about product or technical evangelism, or go-to-market approaches, or any other parts of how businesses are successful. If you can show employers that you are not just a builder, but someone that can help them as roles start to become a little bit fuzzier, then I think that you can be successful in these times. Don’t be just an engineer.”
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KENDALL WELLS 3-RUN HOME RUN TO GIVE OKLAHOMA THE LEAD 🚨
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Stray Kids - [2026 World Tour [RUN IT] MD] Pre-orders are now open on #Ktown4u#! 📑 🖤Purchase $29 or more and receive 1 random SET out of 4 Selfie Photocard (볼 꼬집 Ver.) SETs. (2 photocards per SET) (Purchase $58 or more and receive 2 SETs. The same applies for each additional $29 spent.) Global : * JP : * CN : #StrayKids# #스트레이키즈# #RUN_IT# #RUN_IT_SEOUL# #THIS_AND_THAT#
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Max Muncy just launched a two-run home run off Bubba Chandler, who is throwing hard and...not commanding it great. Could have been a three-run home run had Andy Pages challenged this strike three call.
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This guy rakes. @CaliforniaPFA Lot 29's Brody Eveland (@BrodyEveland29) launches a 2-run home run to deep CF for his second hit of the game. #FiveToolPower# #FiveToolHitting# Paraclete (CA) 2029 #uncommitted# #FiveToolWestWS# Profile:
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For every time the market panicked over Credo, the stock managed to bounce back faster than the previous run Each run was backed with stronger fundamentals, giving investors confidence to buy more aggressive than before A fresh ATH is not as far as people think on $CRDO
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Quantized Qwen3.8 27B for agentic coding: Same Score, 42 Different Outcomes.  I’ve been evaluating quantized Qwen3.8 27B models on DeepSWE 1.1, but I’m giving up. 4-bit AWQ run #1#: 38.94% Reward 4-bit AWQ run #2#: 31.86% Reward 32 of the 113 task outcomes flipped: 20 previously solved tasks failed, while 12 previously failed tasks passed. On non-agentic tasks, I’ve found NVIDIA NVFP4 performs very closely to AWQ. On DeepSWE 1.1? NVIDIA NVFP4: 31.86% Reward Exactly the same score as AWQ run #2#, but 42 task outcomes flipped (nearly one-third of the benchmark!). Each solved 36 tasks, with only 15 successes in common. For reference, BF16 with the same Pi harness and thinking mode reached 43.36%. Quantization certainly contributes to trajectory instability: small changes in token probabilities can alter an edit or tool call. That changes what the agent sees next, potentially sending subsequent decisions down a different path. Errors can compound across turns. Separating that from ordinary sampling variability requires repeated experiments. I’d want at least three independent full runs per model with fixed settings before drawing conclusions, and more for a reliable estimate of variability. Too long, too expensive. Don’t trust anyone reporting a quantized model’s accuracy on agentic tasks without also reporting the run-to-run standard deviation.
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Stray Kids(스트레이 키즈) World Tour Show Info 2026.12.05 (SAT) @ Kai Tak Stadium Ticket Open (Local Time) STAY Membership Presale | 2026.09.01 (TUE) 12PM - 11:59PM LN Presale | 2026.09.03 (THU) 12PM - 11:59PM General Sale | 2026.09.04 (FRI) 12PM STAY Membership Presale Notice More Info #StrayKids# #스트레이키즈# #RUN_IT# #RUN_IT_HONGKONG# #YouMakeStrayKidsStay#
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