The Age of Agentic AI Begins — Mythos Breaks the Barriers of Cybersecurity.

Release date: 7/5/2026

Foreword

The period from early April to early May 2026 marks one of the most dynamic months in the history of the AI technology industry. We are witnessing the simultaneous emergence of new frontier models from the three "giants" – OpenAI, Anthropic and Google; a historic turning point in AI cybersecurity; and a hardware race that is reshaping the entire global computing landscape. In particular, the shift from reactive AI to Agentic AI – capable of autonomous planning, multi-step execution and self-correction – is becoming the central theme of the entire industry.

1. Frontier Models: The Performance Race

1.1. OpenAI: GPT-5.5 and GPT-5.5 Instant

GPT-5.5 launched on 23/4/2026 – this is the exact date, not 5/5 as some sources previously mentioned. OpenAI describes the model as "the most intelligent and intuitive yet," with standout strengths in agentic coding, knowledge work, and preliminary scientific research. GPT-5.5 and GPT-5.5 Pro were deployed simultaneously for Plus, Pro, Business and Enterprise users on ChatGPT, while API access opened on 24/4.

GPT-5.5 Instant launched on 5/5/2026 – this is the default model update for ChatGPT, replacing GPT-5.3 Instant (launched on 3/3/2026). Key improvements include:

• A 52.5% reduction in hallucinations across high-risk domains such as medicine, law and finance compared to GPT-5.3 Instant
• Uses 30.2% fewer words and 29.2% fewer lines, resulting in more concise responses
• Significantly reduces unnecessary emoji usage
• New Memory Sources feature: provides transparency on the AI data sources used for personalisation (chat history, attached files, integrated Gmail), rolled out first to Plus and Pro users

1.2. Anthropic: Claude Mythos Preview – A Historic Cybersecurity Milestone

On 7/4/2026, Anthropic announced Claude Mythos Preview – an event hailed as a "historic turning point" for the field of AI cybersecurity.

Breakthrough capabilities of Mythos Preview:

• Automatically detects and exploits zero-day vulnerabilities in all major operating systems and web browsers
• Successfully develops working exploits in over 83% of cases on the first attempt
• Discovered a vulnerability that had existed for 27 years in OpenBSD (an operating system renowned for its security)
• Solved 73% of expert-level CTF challenges – a level no model had achieved before April 2025
• The first model to fully complete the 32-step enterprise cyberattack exercise "The Last Ones" (TLO)

Responsible action – Project Glasswing: Aware of the risks, Anthropic did not release Mythos Preview publicly. Instead, they formed the Project Glasswing alliance, comprising major technology corporations (AWS, Apple, Microsoft, Google, CrowdStrike, Palo Alto Networks...) and over 40 other organisations, using Mythos Preview to proactively find and patch vulnerabilities in essential software before they could be exploited. The model is also available on Google Cloud Vertex AI under a private preview within the framework of Project Glasswing.

1.3. Google DeepMind: Gemini 3.1 Pro and Gemma 4

Gemini 3.1 Pro was actually first launched in February 2026 and continued to expand during the April–May period. On 4/5/2026, Google officially deployed 3.1 Pro on the Gemini app for Google AI Pro and Ultra users, as well as on NotebookLM. The model achieved a score of 85.9 on BrowseComp – 25 points higher than Gemini 3 Pro – and serves as the foundation for two new research AIs, Deep Research and Deep Research Max (launched 22/4/2026). Notably, Google Research’s TurboQuant technology (announced in March 2026) can reduce KV-cache memory requirements by approximately six times — significantly lowering inference costs for large-scale AI applications.

April 2026 — Google Cloud Next '26: Google announced more than 260 updates, including:

• The launch of Gemma 4 — the most powerful open-source model by byte (including 26B and 31B variants)
• 8th-generation TPU chips optimised for the agentic AI era
• Gemini Enterprise Agent Platform — a platform for building enterprise AI agents
• Learn Mode in Colab — Gemini becomes a personal programming tutor
• The release of Gemini 3.1 Flash TTS Preview — a cost-effective text-to-speech model

2. Hardware Infrastructure: The Exascale Race

2.1. NVIDIA: Blackwell Ultra and Vera Rubin

NVIDIA maintains its leading position with a clear hardware roadmap:

• Blackwell Ultra (B300): Expected to become widely available in 2026, offering superior FP4 performance and high-capacity HBM3e memory
• Vera Rubin (2026): An architecture integrating the "Vera" CPU with 88 custom Arm cores and 176 threads. The NVL72 system based on Vera Rubin aims for exascale computing within a single node

Demand from massive parameter models and agentic AI systems is driving data centres to comprehensively upgrade their liquid cooling systems and 800Gbps networking.

2.2. AMD: MI430X — The "Super GPU" for Scientific FP64

On 5–6 May 2026 at the HPC User Forum (HPCUF) in Austin, Texas, AMD officially unveiled the technical specifications of the Instinct MI430X.

The MI430X is expected to achieve over 200 TFLOPs of pure FP64 performance — more than six times that of the NVIDIA Rubin architecture on the same FP64 metric. This is particularly significant for AI super-factories and scientific research requiring high precision. The MI430X is part of the AMD Instinct MI400 series (CDNA 5 architecture, TSMC 2nm process), which includes:

All models support UALink — an open connectivity standard developed by AMD, Intel, Google, Meta and Microsoft, directly competing with NVIDIA's proprietary NVLink.

3. Software Trends & the AI Ecosystem

3.1. Claude Code and the Model Context Protocol (MCP)

Anthropic's terminal tool Claude Code is gaining widespread adoption among engineers. Claude Code enables the orchestration of "sub-agents" to execute complex workflows and supports the Model Context Protocol (MCP) for intelligent connections to external data servers. MCP is emerging as a key protocol standard within the agentic AI ecosystem.

3.2. AI Agents and the New Software Development Process

The programming industry is undergoing a major shift: modern AI agents are no longer just code suggestion tools but have become genuine "software engineers" — capable of understanding entire repositories, refactoring large codebases, autonomously creating pull requests, running tests, and performing end-to-end debugging. The trend of "vibe coding" is gradually giving way to Spec-driven development, where engineers spend more time refining requirements for AI rather than writing every line of code.

3.3. Google: Deep Research Max and the Agentic Platform

On 22 April 2026, Google launched Deep Research and Deep Research Max — two research AI agents based on Gemini 3.1 Pro, capable of retrieving data from both the public web and internal enterprise systems via MCP. The Gemini Enterprise Agent Platform unveiled at Cloud Next '26 also lays the foundation for deploying AI agents at an enterprise scale.

4. Notable Supplementary Information

4.1. AI and Science: A Quantum Leap

2026 saw AI begin to play the role of co-researcher, rather than merely a supporting tool. AI systems are now helping to generate hypotheses and participate in the process of scientific discovery. At GTC 2026, NVIDIA introduced Isaac GR00T — open-source models enabling robots to understand natural language and perform complex, multi-step tasks, marking AI's entry into the physical world.

4.2. Panoramic Data from the 2026 AI Index Report (Stanford HAI)

• 53% of the global population has used generative AI within three years — faster adoption than PCs or the internet
• The estimated value of generative AI tools to US consumers reached $172 billion per year by early 2026
• The average Foundation Model Transparency Index score fell from 58 to 40 — the most powerful models are becoming increasingly opaque about their training methods
• Global electricity capacity for AI data centres reached 29.6 GW — equivalent to the entire power consumption of New York State
• The US and China are now neck-and-neck on numerous AI benchmarks; as of March 2026, Anthropic's leading model led its Chinese counterpart by just 2.7%

4.3. AI and Financial Enterprises

JPMorgan Chase has officially reclassified its AI investment from "experimental R&D" to "core infrastructure", with a 2026 technology budget of approximately $19.8 billion and 2,000 staff dedicated to AI. This is a clear signal of the degree of AI institutionalisation within the financial sector.

4.4. AI Cybersecurity: A Dual Warning

Alongside the defensive-oriented Mythos Preview, MIT Technology Review and security experts warn that AI is lowering the barrier for hackers and scammers, making attacks faster, cheaper, and easier than ever before. A report from the AISI (AI Security Institute) confirmed that Mythos Preview completed 22 out of 32 steps in a simulation of an average corporate cyberattack — and completed all 32 steps in 3 out of 10 attempts.

Conclusion

The period from 7 April to 7 May 2026 was an exceptionally dynamic month: Claude Mythos Preview ushered in a new era for AI cybersecurity; GPT-5.5 continued OpenAI's streak of quality improvements; Google laid the foundation for an enterprise-scale agentic AI ecosystem at Cloud Next '26; and AMD asserted its ambition to challenge NVIDIA in the HPC and Sovereign AI segments. Alongside this, reports from Stanford HAI and MIT show that AI is genuinely reshaping economic and social structures — not merely as a technological wave, but as the foundational infrastructure of the digital world.

This article is compiled and verified based on: OpenAI Blog, TechCrunch, 9to5Mac, Anthropic/red.anthropic.com, AISI (AI Security Institute), Google Blog, Google Cloud Blog, AMD.com, HPCwire, Stanford HAI AI Index 2026, MIT Technology Review.

Works cited

1. Adobe AI and Digital Trends 2026: GenAI and Agentic AI Insights, accessed May 7, 2026, https://business.adobe.com/resources/digital-trends-report.html

2. ChatGPT Is Smarter, More Accurate, and Less Obsessed With Emojis After Upgrade, accessed May 7, 2026, https://www.macrumors.com/2026/05/05/openai-gpt-instant-5-5-chatgpt-upgrade/

3. OpenAI releases GPT-5.5 Instant update to make ChatGPT smarter with fewer emoji, accessed May 7, 2026, https://9to5mac.com/2026/05/05/gpt-5-5-instant-makes-chatgpt-more-accurate-while-nixing-gratuitous-emojis/

4. GPT-5.5 Instant: smarter, clearer, and more personalized | OpenAI, accessed May 7, 2026, https://openai.com/index/gpt-5-5-instant/

5. OpenAI rolls out GPT-5.5 Instant as ChatGPT’s new default model, accessed May 7, 2026, https://timesofindia.indiatimes.com/technology/tech-news/openai-rolls-out-gpt-5-5-instant-as-chatgpts-new-default-model/articleshow/130845651.cms

6. OpenAI rolls out GPT-5.5 Instant with improved accuracy, sets it as ChatGPT default, accessed May 7, 2026, https://indianexpress.com/article/technology/artificial-intelligence/openai-rolls-out-gpt-5-5-instant-with-improved-accuracy-sets-it-as-chatgpt-default-10675229/

7. New AI Model Releases News | April, 2026 (STARTUP EDITION), accessed May 7, 2026, https://blog.mean.ceo/new-ai-model-releases-news-april-2026/

8. The Biggest AI Trends and Tools Emerging in April 2026 | by Vishal Mysore - Medium, accessed May 7, 2026, https://medium.com/@visrow/the-biggest-ai-trends-and-tools-emerging-in-april-2026-8a491e6d546f

9. Anthropic Release Notes - May 2026 Latest Updates - Releasebot, accessed May 7, 2026, https://releasebot.io/updates/anthropic

10. 5 Trending GitHub AI Projects That Actually Improve Your Daily Work (2026) - Medium, accessed May 7, 2026, https://medium.com/@wy921208/5-trending-github-ai-projects-that-actually-improve-your-daily-work-2026-8f5f6aab6d4d

11. NVIDIA Blackwell Ultra and B300: what the next GPU generation demands - Introl, accessed May 7, 2026, https://introl.com/blog/nvidia-blackwell-ultra-b300-infrastructure-requirements-2025

12. NVIDIA Confirms: "Blackwell Ultra" Coming This Year, "Vera Rubin" in 2026 | TechPowerUp, accessed May 7, 2026, https://www.techpowerup.com/333253/nvidia-confirms-blackwell-ultra-coming-this-year-vera-rubin-in-2026

13. Nvidia unveils new Blackwell Ultra B300 AI GPU and next-gen Vera Rubin roadmap, accessed May 7, 2026, https://www.techspot.com/news/107202-nvidia-unveils-new-blackwell-ultra-b300-ai-gpu.html

14. AMD sets new bar for HPC with AMD Instinct MI430X GPU FP64 performance, accessed May 7, 2026, https://www.amd.com/en/blogs/2026/amd-sets-new-bar-for-hpc-with-amd-instinct-mi430x-gpu.html

15. What Arm-based innovations happened in April 2026?, accessed May 7, 2026, https://newsroom.arm.com/blog/arm-based-innovations-from-april-2026

16. The Intelligence Evolution: Apple Shifts Reimagined Siri to Fall 2026 with Google Gemini Powerhouse - FinancialContent - Stock Market, accessed May 7, 2026, https://markets.financialcontent.com/custercountychief/article/tokenring-2026-1-5-the-intelligence-evolution-apple-shifts-reimagined-siri-to-fall-2026-with-google-gemini-powerhouse

17. Apple Pays Google $1B/Year for Gemini-Powered Siri — But User Data Never Leaves Apple's Private Cloud | Enersys Insights, accessed May 7, 2026, https://enersys.co.th/en/insights/apple-siri-google-gemini-private-cloud-2026

18. Apple-Google Gemini Partnership: What a $1B AI Deal Means for Infrastructure - Introl, accessed May 7, 2026, https://introl.com/blog/apple-google-gemini-partnership-siri-ai-infrastructure-2026

19. Apple and Google AI Partnership 2026: Everything You Need to Know About Gemini-Powered Siri - Kavout, accessed May 7, 2026, https://www.kavout.com/market-lens/apple-and-google-ai-partnership-2026-everything-you-need-to-know-about-gemini-powered-siri

20. Apple may have just made one of the most important new Siri announcements, accessed May 7, 2026, https://9to5mac.com/2026/05/06/apple-may-have-just-made-one-of-the-most-important-new-siri-announcements/

21. OpenAI Launches Training Spec to Boost Large-Scale AI - AI Business, accessed May 7, 2026, https://aibusiness.com/generative-ai/openai-launches-training-spec-boost-large-scale-ai

22. Anthropic may invest $200 billion in Google, shows how AI boom is fueling Big Tech, accessed May 7, 2026, https://www.indiatoday.in/technology/news/story/anthropic-may-invest-200-billion-in-google-shows-how-ai-boom-is-fueling-big-tech-2907446-2026-05-06

23. Why Proprietary Software, Hardware & Protocols Face AI Security Risks, accessed May 7, 2026, https://www.infosecurity-magazine.com/blogs/why-software-faces-ai-driven/

24. AI News Briefing: April 7, 2026 - YouTube, accessed May 7, 2026, https://www.youtube.com/shorts/XDIdjJh4Ih8

25. AI Index | Stanford HAI - Stanford University, accessed May 7, 2026, https://hai.stanford.edu/ai-index

26. AI Will Reshape More Jobs Than It Replaces | BCG, accessed May 7, 2026, https://www.bcg.com/publications/2026/ai-will-reshape-more-jobs-than-it-replaces

27. The AI jobs transition framework - OpenAI, accessed May 7, 2026, https://cdn.openai.com/pdf/the-ai-jobs-transition-framework_report.pdf

28. AI's Impact on Jobs in 2026: The Real Trends Every Professional Should Know, accessed May 7, 2026, https://www.gsdcouncil.org/blogs/ai-impact-on-jobs-real-trends

29. The kids aren’t alright: young worker hires slow down amid massive AI job layoffs, accessed May 7, 2026, https://switzer.com.au/the-kids-arent-alright-young-worker-hires-slow-down-amid-massive-ai-job-layoffs/

30. MongoDB adds AI agent tools, releases MongoDB 8.3 | MDB Stock ..., accessed May 7, 2026, https://www.stocktitan.net/news/MDB/mongo-db-makes-enterprise-ai-production-elrtdqvqot98.html

31. China's rapid AI adoption shapes global usage patterns, accessed May 7, 2026, https://letsdatascience.com/news/chinas-rapid-ai-adoption-shapes-global-usage-patterns-5c7eddf2