Moonshot AI unveiled Kimi K3 on 16 July 2026: 2.8 trillion parameters, a one million token context, native multimodality. A look at the MoE architecture, Kimi Delta Attention, the published benchmarks and the model’s real limits.
TL;DR: close to 80% of SaaS features stay underused, and 30-40% are forgotten within 90 days (Pendo). The real lever isn’t building more, it’s measuring actual usage before prioritizing the next roadmap. Metric Value SaaS features rarely or never used ~80% New features forgotten within 90 days 30-40% Average adoption rate of a SaaS feature […]
TL;DR: every extra 100ms of load time costs about 1% in conversions, and Google tightened its « good » LCP threshold to 2 seconds in 2026. A targeted performance diagnosis can recover that lost revenue before a redesign or campaign launch. Metric Impact Each extra 100ms of load time -1% conversions One-second load delay -7% conversions Google’s […]
TL;DR: an AI-generated site works, but it doesn’t convert better than the market average. Without product strategy, UX and real user testing, AI produces an «average» site that can end up costing you: lost traffic, lost conversions, even lost revenue. Metric Data Conversion rate increase from real UX investment (Forrester) up to +400% Top 1M […]
Update July 2026: since this comparison was published, Claude Opus 5, GPT-5.6 Sol and Kimi K3 have arrived. For the latest matchup, read our Claude Opus 5 vs GPT-5.6 Sol vs Fable 5 vs Kimi K3 comparison. GPT-5.5 vs Gemini 3.5 vs Fable 5: The 2026 Comparison TL;DR: there is no longer a single best […]
Ask three different vendors for a data quote. You will get three ranges with nothing in common. Why? Because « data project » covers very different realities: cleaning up data in a spreadsheet and building a multi-source analytics architecture are not the same thing. The real problem with data quotes is that they bundle collection, storage, reporting, […]
This is usually the first question companies ask. Not “which agentic AI architecture should we use?” Not “should we use RAG, fine-tuning, or a multi-agent orchestrator?” More often, the real question is much simpler: How much does it actually cost to build a useful AI project? The short answer: anywhere from €3,000 for a POC […]
The trial pitting Elon Musk against Sam Altman and OpenAI is nearing its close. Three weeks of hearings in Oakland have surfaced unexpected revelations, explosive testimonies, and contradictions that embarrass both sides. Here is the complete record. Background: a 2015 promise becomes a 2026 lawsuit The story begins with OpenAI’s founding in 2015. Sam Altman […]
Everyone has already seen a robot playing table tennis. But until now, no robot was really able to beat strong players over a full match. Ace is different. A team of researchers published a study in Nature on April 22, 2026, about this system. They made it play against five high-level players and two professionals, […]
For the past two years, one idea has kept coming up in AI research: what if the real driver of progress is no longer just training bigger and bigger models, but giving them more compute at the moment they answer? This approach has a slightly technical name, but it matters: test-time compute, also called inference-time […]
In 2026, one of the biggest challenges in AI is no longer choosing the model, but connecting it properly to an information system. Whether it is a CRM, email tools, or design software, value appears when AI can access context and take action inside the tool. That is the role of MCP, which stands for […]
In late February 2026, several international media outlets highlighted a major shift: the explicit alignment between leading American AI companies and the U.S. Department of Defense. This is not merely a technology headline. It is a strategic turning point. Since the Cold War, technology has been a lever of power. But with generative AI, we […]
Cookies
We use analytics cookies to understand how the site is used. Nothing is stored on your device without your consent. Privacy policy
