Dakarda Studio · Blog
Week 24 · 8–14 June 2026
The Week Bots Took Over the Internet and Mythos Became Reality
It was a week after which the AI world will never be the same. Bots generated more internet traffic than humans for the first time, Anthropic publicly released a Mythos-class model, and an autonomous AI agent found 21 zero-day vulnerabilities in a popular library. If anyone still doubted we live in the era of agentic AI, this week dispelled those doubts for good.
Top stories
Anthropic Releases Claude Fable 5 – First Public Mythos-Class Model
The model achieves scores 10%+ better than Opus 4.8, and its pricing ($10/$50 per million tokens) is surprisingly affordable. At the same time, Anthropic made full Mythos 5 available to cyber defense organizations without restrictions. This is not only a leap in quality but also a regulatory precedent for the entire industry.
2026-06-11
AI Bots Surpass Humans in Web Traffic for the First Time
Cloudflare reported that AI already generates 57.3–57.5% of HTTP requests, while human traffic has dropped to around 42.5%. Cloudflare's CEO confirmed the main driver is the rapid rise of AI agents. This shift is forcing the entire internet ecosystem to redesign website architecture, servers, and advertising models.
2026-06-08
Autonomous AI Agent Finds 21 Zero-Days in FFmpeg; Chrome Patches 429 Bugs
The company depthfirst used an autonomous agent to scan 1.5 million lines of C code in FFmpeg, resulting in 21 confirmed vulnerabilities with reproducers. The same week, Google released Chrome 149 with a record 429 security fixes. The era where AI finds vulnerabilities faster than humans can patch them has just begun.
2026-06-10
Google DeepMind Releases DiffusionGemma – Open-Source Diffusion Model 4x Faster Than Transformers
The 26B MoE model (3.8B active) under Apache 2.0 generates text in parallel, achieving over 1000 tokens per second on H100 and fitting into 18 GB VRAM after quantization. This is the fastest local open-source model available, offering a real alternative to classic transformers and changing the inference game.
2026-06-11
Tech insights
Apple WWDC 2026: Siri 2.0 and iOS 27 with On-Device AI
After years of lagging behind, Apple finally brings agentic AI to billions of devices. Siri 2.0 integrates Apple Intelligence at the system level – photo editing, wallpaper generation, and shortcuts controlled by natural language. This signals that even the largest mobile player now acknowledges that without agentic AI, it risks falling behind.
European Commission Orders Meta to Provide Free WhatsApp Access to Competing AI Assistants
Brussels issued interim measures to restore free WhatsApp access for companies like OpenAI. Since October 2025, Meta had blocked competitors to promote its own assistant. This decision could shape the future of access to communication platforms for AI around the world.
Anthropic: 'When AI Builds Itself' – Report on Recursive Self-Improvement
Anthropic's groundbreaking report reveals that AI models design and improve their successors faster than humans. Cohesity announced access to Claude Mythos 5 – a model higher than Mythos Preview – as part of Project Glasswing. This is a document everyone in the industry should read.
Self-Replicating AI Worm – Proof of Concept from the University of Toronto
Researchers built an autonomous AI worm that independently identifies networks, generates attack strategies, and replicates without human intervention. In tests on 33 hosts, it identified an average of 31 vulnerabilities and colonized 62% of them within 7 days. This new type of threat demands a shift in thinking about security.
Tip of the week
How to Test DiffusionGemma Locally – Step by Step
DiffusionGemma is available on Hugging Face in two variants – 26B (requires ~80 GB) and 8B (requires ~18 GB). To run it, you need at least 24 GB VRAM (e.g., RTX 4090 or A6000). Google has provided an official Colab notebook for a quick test. Practical step: go to the google-research/diffusion-gemma repo on Hugging Face, download the model in PyTorch format, and run the generate.py script with the --cache-dir flag. For a performance comparison, try the same prompt on Gemma 2 27B – you'll see up to a 4x difference in generation time.
Tool of the week
DiffusionGemma
An open-source diffusion model from Google DeepMind. It generates entire blocks of text in parallel instead of token by token. Runs on a single GPU, available under Apache 2.0 license. Ideal for building applications that require fast, local text generation – without API fees.
Alex's commentary
When I saw Cloudflare's data about bots surpassing humans on Monday, I thought: this is the turning point we've all been talking about. I followed this week with an almost physical sense that the threshold of AI capabilities had just shifted. What strikes me most is not the individual releases but the accumulation: a Mythos-class model in the hands of the public, autonomous malware that replicates without the cloud, and an AI agent finding vulnerabilities faster than humans could describe them. I believe that those who did not revise their thinking about security, architecture, and costs this week will have a lot of catching up to do.
Conclusion
This week showed that AI is not just accelerating – it is changing the structure of the reality we operate in. From bots dominating web traffic, to Mythos-class models within reach, to regulations that will shape data access for years. One thing is certain: it's worth being here and now, observing, drawing conclusions, and adapting your projects – because what seems futuristic today will be standard tomorrow.
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