投稿者: ミハエル・ラングマイエル

Anthropic pulled Claude Fable 5 and Mythos 5 worldwide after a US government order on June 12, 2026. Here’s what the error means, who’s affected, and how to switch models.

Apple Intelligence is Apple’s built-in artificial intelligence system for iPhone, iPad, and Mac, and in 2026 it got its biggest overhaul yet. At WWDC 2026 on June 8, Apple introduced Siri AI, a far more capable assistant running on a custom Google Gemini model. It joins writing tools, image generation, photo editing, and notification summaries that already ship on hundreds of millions of devices. It runs most tasks on-device for privacy and sends heavier requests to Private Cloud Compute. This guide explains what Apple Intelligence is, exactly what it does, which iPhones, iPads, and Macs support it, and how the new Gemini-powered Siri AI changes things. You will also see […]

On June 9, 2026, Anthropic released Claude Fable 5, the first model in a brand new top tier the company calls the Mythos class. This is not another point upgrade in the Opus line. Anthropic describes Fable 5 as a model that sits above Opus in raw capability. It is state of the art on nearly every benchmark it was tested on, and it is the most powerful model the company has ever made available to the general public. It launched alongside a sibling model, Claude Mythos 5. That model is the same underlying system with the safety guardrails lifted, available only to a small set of vetted users. The […]

On June 4, 2026, NVIDIA released Nemotron 3 Ultra, a fully open 550 billion parameter reasoning model built specifically for long running agents. According to benchmark platform Artificial Analysis, it is now the most capable open model to come out of a US lab, scoring 48 on the Artificial Analysis Intelligence Index. That puts it well ahead of every other open American model and lands it in what Artificial Analysis calls the most attractive quadrant on its chart, combining high intelligence with fast output speed. Microsoft entered the in-house model race days earlier with its MAI lineup at Build. What makes Nemotron 3 Ultra different is the design goal. NVIDIA […]

Reve 2.0 swaps text prompts for editable layouts to deliver controllable, native-4K image generation. A full breakdown of how it works and why it ranks #2.

OpenAI’s top customer burns 100 billion tokens a month, and Sam Altman just admitted AI costs became a huge issue in 2026. Here’s what changed and how to cut your own AI bill.

On June 2, 2026, at its Build developer conference, Microsoft announced a family of seven in-house AI models under the MAI brand, the most concrete step yet in the company’s plan to stop being just the best distributor of someone else’s frontier models. The lineup spans reasoning, coding, image generation, voice, and transcription, and it was unveiled during CEO Satya Nadella’s keynote alongside new agents, silicon, and a repositioning of Windows itself. The centerpiece is MAI-Thinking-1, Microsoft’s first reasoning model. It is a 35 billion active parameter Mixture of Experts model that Microsoft says matches Claude Opus 4.6 on SWE-Bench Pro and narrowly beat Claude Sonnet 4.6 in blind human […]

Claude Opus 4.8 takes the #1 spot on the Artificial Analysis Intelligence Index at 61.4, beating GPT-5.5. Full benchmarks, pricing, and what’s new.

Meta AI is now baked into four apps used by over 3 billion people: Facebook, Instagram, WhatsApp, and Messenger. The assistant rolled out across 41 European countries on March 19, 2025, runs on Llama 4, and powers everything from search bars to the standalone Meta AI app launched April 29, 2025. There is no master off switch. You can still take back most of the screen real estate Meta AI has claimed. This guide walks you through the working 2026 methods to mute, hide, or opt out of Meta AI on every Meta surface, including the new Show Meta AI Button toggle on WhatsApp, the Translate Voice setting for Instagram […]

How much water does ChatGPT use? OpenAI’s own figure, stated by CEO Sam Altman, is about 0.000085 gallons per query, roughly 0.32 mL or one fifteenth of a teaspoon, alongside 0.34 watt-hours of electricity. Independent estimates that count only data-center cooling land a little higher, around 1.5 to 4 mL per prompt. The scary viral number, about 519 mL (a full bottle) to write a 100-word email with GPT-4, is not a contradiction. It counts the entire electricity and training supply chain, which is why credible figures span more than 150x. This guide gives you a dated, sourced answer for every version of the question, so per query, per prompt, […]