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This week, the Steam Deck OLED with 512GB of storage went from $549 to $789, putting it even further out of reach for those who were considering getting one as they came back in stock after months of unavailability. I consider it a tiny consolation that there’s a decent PC gaming handheld that is currently […]

I'm creating a story for my cousin. I think it will be very interesting if this story’s main character can be a 3D character.My project is still in planning stage. I’m writing character descriptions, collecting references from Pinterest and testing some complex shapes using Tripo AI. I plan to continuously improve all the content over time. After I get a version that I like I will put it into Blender for editing and final touches.There is no final version yet but I just want to share this process with the community! I find it is so interesting to watch a story’s concept gradually become concrete lol!! submitted by /u/Final_Floor_789 [link] [留言]

If you’re looking for a fast iPhone or AirPods charger that’s easy to toss into your purse, backpack, or carry-on, Anker’s Zolo Magnetic Wireless Charger is a smart pick. It’s tiny and comes with a built-in USB-C cable, and you currently can buy two for $23.99 ($16 off) at Amazon and Anker (with code WS7DV2PK68EW), […]

submitted by /u/Hot-Upstairs9603 [link] [留言]

Read this release today. Some crazy numbers. The tau2-bench number is 98% across all difficulty levels. That is the one that got me because usually these releases post a strong easy score and then quietly die at hard difficulty. This one... claims it holds. For multi-step agent work that actually matters more than most benchmarks. A model that drifts on step 4 of a 6 step chain is a debugging nightmare regardless of what its SWE score looks like. Raw capability is mid, Toolathlon at 49.5, GDPval at 45.8. So this is clearly a reliability play, not a frontier capability play. Depending on your use case that is either fine or a dealbreaker. 198B sparse MoE 11B activ 400 TPS 256K context Apache 2.0 runs locally on M4 Max and DGX Spark. Has anyone actually put this through agent evals or am I just reading the release card. submitted by /u/Skid_gates_99 [link] [留言]

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IDK I might be wrong but.....I don't think it's happening anytime soon. ChatGPT, Claude, Gemini.....they are good....but they are too lazy. Gave them a task to create a Masterdata for all smartphone models being sold by a particular brand. Gave explicit instructions for all models. Explicitly asked for a list 1st and then asked it to create MasterData. Lazy ahh model just put in like 21 popular ones out of the hundreds of the available models and variants. Is this how it will overtake us and replace all the labor intensive work? submitted by /u/naamnhiptahai [link] [留言]

For nearly 80 years, Ferrari occupied a unique cultural space where its cars were aspirational, even for people who resented those who could afford them. The price, the exclusivity, and the opacity of the buying process allowed Ferrari to sail above ordinary criticism. You might not be able to afford one, but you still wanted […]

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. At this time last week, I was getting ready to ask people what drugs they were on. I was waiting […]

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Hey all! This is my first time writing a blog. It is about the migration from mongoDB database to a postgreSQL one. How we changed the architecture completely using AI. Any criticism is welcome submitted by /u/SID_069 [link] [留言]

As GenAI starts flooding every platform, I’m beginning to wonder if live sports are one of the last truly AI-resistant industries. You still can’t prompt a model to recreate the real tension of a 14–14 tie-break in a volleyball final and maybe you never will. I read an interesting piece from NJF Holdings about this. Frankly speaking, I barely know who Nicole Junkermann is but she seems to be focused on AI infrastructure and sports rights in AI era. I agree with her, that the more polished and “perfect” AI-generated content becomes, the more valuable becomes true human unpredictability and even mistakes. The basic idea is that sports become more valuable precisely because they can’t be generated. Does that idea hold up, or do you think AI entertainment eventually becomes “good enough” to compete with the real thing? submitted by /u/AssistantStraight983 [link] [留言]

They're more secure than you might think.

The old (testing in Safari when you don’t have Safari), the new (::checkmark), the in-between (anchor positioning but with HTML), and more. What’s !important #12: Safari Testing, ::checkmark, HTML Anchor Positioning, and More originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

The detonation of the New Glenn rocket resulted in a huge fireball in Florida and may have long-term implications for the company's ambitions.

submitted by /u/noshameinlovegame [link] [留言]

Found this during a routine review. Analysts discovered that pasting alert context into an AI tool cut triage time significantly and started doing it because it worked, which is a reasonable thing to do when you are under pressure to move faster. The problem is that alert context includes internal hostnames, IP ranges, user identities and sometimes partial log data, none of which was supposed to leave the environment. No policy covered it because the productivity gain was not something that had been thought through when the AI use policy was written. Now trying to figure out how to give them a sanctioned version of the same capability without the data handling risk, which is harder than it sounds because the whole point is that the external tool is faster than what we have internally. submitted by /u/Only_Helicopter_8127 [link] [留言]

A new crew launched to China's Tiangong space station, and one of the astronauts will stay for a year.

GitHub热门项目 | A data visualization and analytics component, especially well-suited for large and/or streaming datasets. | Stars: 10,909 | 283 stars this week | 语言: Rust

GitHub热门项目 | AI-powered, vision-driven UI automation for every platform. | Stars: 13,487 | 257 stars this week | 语言: TypeScript