AI art on reddit
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Weaving reality or warping it? The personalization trap in AI systems
Each of our versions of reality is changing with AI. This could erode our ability to agree on basic facts or navigate shared challenges.Read More
My 9 Favorite Pickleball Paddles From 3 Years of Testing (2025)
Paddles are getting more sophisticated and expensive. We’ve tested dozens over the past year to find our favorites.
Trained a Kotext LoRA that transforms Google Earth screenshots into realistic drone photography
Trained a Kotext LoRA that transforms Google Earth screenshots into realistic drone photography – mostly for architecture design context visualisation purposes. submitted by /u/Alternative_Lab_4441 [link] [comments]
5 key questions your developers should be asking about MCP
It’s MCP projects in production, not specification elegance or market buzz, that will determine if MCP (or something else) stays on top.Read More
At Least 750 US Hospitals Faced Disruptions During Last Year’s CrowdStrike Outage, Study Finds
Of those, more than 200 appear to have had outages of services related to patient care following CrowdStrike’s disastrous crash, researchers have revealed.
Conversations between LLMs could automate the creation of exploits, study shows
As computers and software become increasingly sophisticated, hackers need to rapidly adapt to the latest developments and devise new strategies to plan and execute cyberattacks. One common strategy to maliciously infiltrate computer systems is known as software exploitation.
Civitai blocking all UK users next week
submitted by /u/GlowiesEatShitAndDie [link] [comments]
From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
Regression is undoubtedly one of the most mainstream tasks machine learning models can address.
Language Models Improve When Pretraining Data Matches Target Tasks
Every data selection method inherently has a target. In practice, these targets often emerge implicitly through benchmark-driven iteration: researchers develop selection strategies, train models, measure benchmark performance, then refine accordingly. This raises a natural question: what happens when we make this optimization explicit? To explore this, we propose benchmark-targeted ranking (BETR), a simple method that …
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