British Broadcasting Corporationは、Apple NewsやGoogle Newsなどのアグリゲーターが特集されたストーリーのクレジットを最小限に抑えると不満を述べて、英国の反トラスト規制当局に苦情を申し立てました。
Apple Insiderはそれを報告します BBCは英国の競争と市場の権限を求めています AppleとGoogleがより顕著にニュースソースをより顕著にクレジットするように要求すること。また、CMAの決定は理論的には英国の出版物にのみ適用されますが、アグリゲーターが行った変更はおそらく他の出版社にも影響を与えるでしょう。
One of the new flagship AI models Meta released on Saturday, Maverick, ranks second on LM Arena, a test that has human raters compare the outputs of models and choose which they prefer. But it seems the version of Maverick that Meta deployed to LM Arena differs from the version that’s widely available to developers.
As severalAIresearchers pointed out on X, Meta noted in its announcement that the Maverick on LM Arena is an “experimental chat version.” A chart on the official Llama website, meanwhile, discloses that Meta’s LM Arena testing was conducted using “Llama 4 Maverick optimized for conversationality.”
As we’ve written about before, for various reasons, LM Arena has never been the most reliable measure of an AI model’s performance. But AI companies generally haven’t customized or otherwise fine-tuned their models to score better on LM Arena — or haven’t admitted to doing so, at least.
The problem with tailoring a model to a benchmark, withholding it, and then releasing a “vanilla” variant of that same model is that it makes it challenging for developers to predict exactly how well the model will perform in particular contexts. It’s also misleading. Ideally, benchmarks — woefully inadequate as they are — provide a snapshot of a single model’s strengths and weaknesses across a range of tasks.
Indeed, researchers on X have observed starkdifferences in the behavior of the publicly downloadable Maverick compared with the model hosted on LM Arena. The LM Arena version seems to use a lot of emojis, and give incredibly long-winded answers.
信じられないほどのGamemaker Studio Module Vngenを使用して、視覚的な小説開発で歯を切ります。 vngenは、あなたが望むほどシンプルまたは複雑であり、視覚的な新規開発で足を濡らす方法と、最も味付けされた開発者のための完全に機能するツールセットの両方を表すことができます。それは両方の世界の最高です!
Raspberry Pi Pico(以下、Pico 1)やRaspberry Pi Pico 2(以下、Pico 2)の開発にPlatformIOを使おうよ、という啓蒙記事です。
PlatformIOを選ぶ理由は、Arduino Frameworkを利用しつつVisual Studio Code(以下、VSCode)で開発したいからというシンプルなものです。VSCodeは拡張機能であれこれできるし、CopilotやGoogle Code AssistantやらAIの手助けも受けられる。Arduino IDEも2.0からかなりいい感じになってますが、VSCodeに慣れてるとやっぱりねえとい…