Ah, the groundbreaking story of a #runner who allegedly #defies the laws of #physics, but instead of details, we're hit with the riveting saga of "Enable JavaScript." ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’ฅ๐Ÿ”’ Meanwhile, somewhere in the digital void, Sawe's #achievement is as elusive as a #unicorn on caffeine. ๐Ÿฆ„โ˜•
https://www.letsrun.com/news/2026/04/15930-sabastian-sawe-shatters-the-2-hour-barrier-at-2026-london-marathon/ #EnableJavaScript #digitalvoid #Sawe #HackerNews #ngated
1:59:30: Sabastian Sawe Shatters the 2-Hour Barrier at 2026 London Marathon

Sabastian Sawe has run a 59:01 second half in London to break the 2:00 barrier and Yomif Kejelcha in the greatest marathon ever run. What. A. Race.

LetsRun.com
Ah, the "USB Cheat Sheet" that fails at even being a Web page. ๐Ÿ˜† Instead of enlightening us about the tangled mess of USB types, it delivers a thrilling tale of ModSecurity's epic fail. ๐Ÿ”’๐Ÿ’ฅ Bravo, you've redefined the cheat sheet genre as the ultimate digital void. ๐ŸŽ‰
https://fabiensanglard.net/usbcheat/index.html #USBCheatSheet #ModSecurityFail #DigitalVoid #TechHumor #WebDevelopment #HackerNews #ngated
USB Cheat Sheet

Brendan's dramatic exit from Intel is less a swan song and more a kazoo solo ๐ŸŽบ. Packed with more self-referential links than a Wikipedia wormhole, this blog post is a testament to his own inflated sense of importance ๐Ÿš€. One can't help but wonder if anyone is truly listening, or if he's just shouting into the digital void ๐Ÿ“ก.
https://www.brendangregg.com/blog//2025-12-05/leaving-intel.html #BrendanIntelExit #kazooSolo #selfImportance #digitalVoid #HackerNews #HackerNews #ngated
Leaving Intel

Leaving Intel

๐Ÿš€ In the year 2025, brave souls still scream into the vast, indifferent digital void via "blogs"โ€”a quaint relic from the pre-historic era of the open web. ๐Ÿคฏ Meanwhile, the rest of us are too busy being sucked into the black hole of endless #TikTok dances and unsolicited #influencer advice. ๐ŸŒช๏ธ But hey, keep hoping for that "resurgence," dreamers!
https://askmike.org/articles/blogging-in-2025-screaming-into-the-void/ #blogs #digitalvoid #culture #resurgence #HackerNews #ngated
Blogging in 2025: Screaming into the void - Askmike.org

๐Ÿค” Ah yes, yet another #groundbreaking attempt to make #AI pretend it understands public opinionโ€”because nothing says "new voice" quite like a pile of ones and zeros that can't even vote ๐Ÿ˜†. Thank you, #DeepSeek, for being the digital equivalent of shouting into the void ๐Ÿ“ข๐Ÿค–.
https://arxiv.org/abs/2506.21587 #PublicOpinion #DigitalVoid #Innovation #HackerNews #ngated
Is DeepSeek a New Voice Among LLMs in Public Opinion Simulation?

This study evaluates the ability of DeepSeek, an open-source large language model (LLM), to simulate public opinions in comparison to LLMs developed by major tech companies. By comparing DeepSeek-R1 and DeepSeek-V3 with Qwen2.5, GPT-4o, and Llama-3.3 and utilizing survey data from the American National Election Studies (ANES) and the Zuobiao dataset of China, we assess these models' capacity to predict public opinions on social issues in both China and the United States, highlighting their comparative capabilities between countries. Our findings indicate that DeepSeek-V3 performs best in simulating U.S. opinions on the abortion issue compared to other topics such as climate change, gun control, immigration, and services for same-sex couples, primarily because it more accurately simulates responses when provided with Democratic or liberal personas. For Chinese samples, DeepSeek-V3 performs best in simulating opinions on foreign aid and individualism but shows limitations in modeling views on capitalism, particularly failing to capture the stances of low-income and non-college-educated individuals. It does not exhibit significant differences from other models in simulating opinions on traditionalism and the free market. Further analysis reveals that all LLMs exhibit the tendency to overgeneralize a single perspective within demographic groups, often defaulting to consistent responses within groups. These findings highlight the need to mitigate cultural and demographic biases in LLM-driven public opinion modeling, calling for approaches such as more inclusive training methodologies.

arXiv.org