投稿者: ミハエル・ラングマイエル

AI is no longer a party trick. Used well, it does a lot of what elite consultants do: structure ambiguous problems, analyze data fast, pressure‑test options, and turn findings into decisions people can act on. Below is a practical, research‑backed playbook for 2025—centered on the 10 workstreams in the image (SWOT, growth levers, 30‑60‑90, revenue model, churn, KPI blueprint, pricing, GTM, value prop, pivots)—with the prompts, tools, and metrics that make an AI “associate” genuinely valuable. A few facts for context. The latest State of AI research finds generative AI could add $2.6–$4.4T in annual value across functions, with adoption now mainstream among large companies, not just tech firms (McKinsey). 2025 strategy work increasingly […]

Alibaba’s AI stack just crossed a symbolic frontier. On September 5 2025, the company’s cloud division unveiled Qwen-3-Max-Preview (Instruct), a 1-trillion-parameter large-language model that immediately takes its place among the most complex systems ever deployed and the most powerful AI models. The rollout began quietly inside Qwen Chat and Alibaba Cloud Model Studio. Soon coming to Fello AI. Only a few months ago, OpenAI’s GPT-4o, Google DeepMind’s Gemini 2.5, and Anthropic’s Claude Opus 4 each claimed slices of the “frontier-model” crown. Meanwhile, China-based challengers have been racing to close the capability gap. By releasing a one-trillion-parameter model, Alibaba is making it clear it wants to compete at the very top, not on the sidelines. […]

Moonshot AI, Chinese startup backed by Alibaba and Tencent, is rolling out an upgraded version of its open‑weight open-source large language model, Kimi K2. The new build Kimi K2‑0905, introduces a 256,000-token context window, improved coding performance, and retains its permissive modified MIT license. Although early beta access was briefly mentioned on the company’s Discord before details were removed, the model is now fully available to the public. Weights and a complete model card are live on Hugging Face, making it easy for developers to download, run, and fine-tune the model locally. Moonshot’s Meteoric Rise Founded in March 2023, Moonshot AI has grown at breakneck speed. In just over a year, the startup […]

Apple is set to unveil its next-generation iPhone lineup in less than a week at the “Awe Dropping” event on September 9th, 2025, streaming live from Apple Park. This year’s keynote is expected to be all about AI—specifically, how Apple Intelligencefinally makes Siri useful, brings smarter camera features, and turns the iPhone into something that feels more like a personal assistant than ever before. Here’s a breakdown of what we know, what’s likely, and what could change the way you use your iPhone—all based on leaks, expert analysis, and hands-on rumors. When and Where to Watch Apple has officially confirmed the date for its fall keynote: September 9, 2025, at 10 a.m. PT. As usual, the event will be streamed on Apple’s […]

Nano Banana is Google’s new image model built for contextual editing and photo‑real generation. In plain English: you tell it exactly what to change in a picture, and it edits only that while keeping everything else intact — lighting, perspective, textures, text on products, even a person’s face. Creators are already posting crazy examples on X and YouTube. Below are the most useful workflows I’ve seen, written for “how‑to” intent: what to do, why it works, and prompts you can try today. How to try Nano Banana (fast) We did Ai image generators one prompt faceoff between Nano Banana Pro and 3 other models. The results are suprising! Prompt basics Be specific with your edits. Instead of saying “change […]

The open-source AI race just got more interesting. Chinese startup DeepSeek has unveiled DeepSeek-V3.1, its biggest upgrade yet, bringing sharper reasoning, stronger coding skills, and new support for tool-calling and agent workflows. Unlike its earlier release that felt experimental, V3.1 arrives as a serious contender. With a 128K context window, hybrid reasoning modes, and an API that’s dramatically cheaper than its Western rivals, the model is designed to push open AI closer to the performance of GPT-5, Grok 4, Claude Opus, and Gemini 2.5 Pro. See our DeepSeek pricing guide for full API costs and free tier details. Early benchmarks show V3.1 not just catching up but competing head-to-head in coding and reasoning tasks, […]

AI benchmarks are usually abstract. They test math puzzles, programming problems, or reading comprehension tasks most people never encounter in real life. But the newest yardstick for long-term AI performance is surprisingly ordinary: running a vending machine. The benchmark, called Vending-Bench, was created by Andon Labs to test whether AI agents can handle one of their hardest unsolved problems — staying coherent and effective over long stretches of time. Each agent is tasked with operating a simulated vending machine business: tracking inventory, placing orders, setting prices, collecting revenue, and paying daily fees. On paper, these are trivial management chores. In practice, they push models to their limits when extended across 20 million […]

Most people are disappointed with GPT-5 because they prompt it like GPT-4. It feels random, overconfident, or stuck in rabbit holes—and then gets blamed. The model changed; the prompting didn’t. GPT-5 acts like an agent. It plans, calls tools, carries state, and will press ahead unless you define the finish line. Big context and built-in browsing won’t save you if you don’t steer it. Without structure, you’ll see shallow guesses one moment and overwork the next. You don’t need a heavy playbook. A tiny bit of structure works: three dials that set research depth, autonomy, and how it reports progress. Turn them and you get steadier outputs, faster turnarounds, and […]

Unlike GPT-4o, GPT-5 was trained to be a worker, not a chatterbox. It plans, calls tools, follows rules, and carries state across long tasks. If you keep throwing casual prompts at it, you’ll leave a lot of performance on the table. The model responds best when you give it structure, constraints, and a clear finish line. Treat it like a teammate with a mission and operating rules, not a magic box. Below is the playbook: one framework, three core tags, a compact starter template, and a couple of inline examples that show the pieces working together. This guide pulls together the strongest patterns we’ve seen—how to control research depth, dial up […]

It sounds like something from a sci-fi movie: the same tech billionaires shaping our digital future are quietly preparing for a much darker one. From private bunkers in Hawaii to fortified basements and New Zealand hideouts, several AI leaders are investing heavily in survival infrastructure. Some of the most influential people in tech are quietly preparing for worst-case scenarios. They are heavily involved in AI, automation, and platforms that billions rely on daily. Their decisions to invest in bunkers or remote shelters raise a practical question: why now, and what are they preparing for? Let’s break down what’s really going on—who’s building what, where, and why—and then explore the bigger picture […]