EA originally formed Full Circle in 2021 with a staff of development talent from the original Skate team. Skate was often positioned as a more realistic competitor to the Tony Hawk's Pro Skater series, but the new studio has ultimately taken the franchise in a slightly different direction than fans may have expected. Previous Skate games were paid experiences with single-player and multiplayer modes, while skate. is a free-to-play live-service game supported with microtransactions.
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If there’s one thing that stops people using their smart rings over the long term, it’s the battery life. After all, they’re so unobtrusive, it’s easy to forget to drop it on the charging plate every few days. It doesn’t take long for your pricey gadget to become little more than a very expensive piece of jewelry. It’s one of many maladies Ultrahuman is looking to address with the advent of its new Pro, a smart ring boasting up to 15 days of battery life. It even ships with a fancy battery case, which itself includes enough power to last it 45 days, making it easier to keep re-charged on the go.
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.