Score aggregated from 4 pillars, each 0-25 points: capabilities (capability), autonomy, integration in critical systems (integration), and control bypass events (bypass). Updated daily based on hybrid scanning: 40 fixed sources in 9 categories + 3 open search queries. Aggressive filtering: only impact ≥ 0.2, max 8 drivers per day, daily volatility cap ±3.0. Full transparency in scoring_rubric and filter_rules.
🏛️ The 4 Pillars — Detail
Each pillar with its explanation and the signals contributing to the score.
Raw Capabilities
How strong is AI? Can it solve complex tasks? Write professional code? Plan multi-step actions? Find security flaws autonomously?
Anthropic's Claude Mythos — exposed thousands of unknown zero-day flaws in operating systems and browsers
OpenAI GPT-5.5 — released April 23 with unified control across coding, browsing, and agents; opened a $25K bug-bounty for universal jailbreaks
DeepSeek V4 preview — surge in agentic capability
GitHub CVE-2026-3854 — RCE in a closed-source binary discovered with AI assistance (IDA MCP). One of the first cases of AI-assisted discovery in invisible code. CVSS 8.7
Models solving PhD-level tasks in chemistry and mathematics
Autonomy (action without supervision)
To what extent does AI act without human approval at each step? Agents that work for hours, make decisions, open emails, use credit cards?
Nature paper proves Large Reasoning Models (LRMs) execute end-to-end autonomous jailbreak attacks at 97.14% success rate
Claude Computer Use and OpenAI Operator in production
GPT-5.5 — significant boost in agentic coding and computer use
Microsoft Copilot Studio: agents open tickets, send emails
An AI agent breached 600+ FortiGate firewalls across 55 countries with no human operator
Integration in critical systems
Is AI entering systems where failure means people die or lose money? Banks, infrastructure, healthcare, military?
Snap: 65% of its new code is written by AI — leading tech firms structurally dependent
JPMorgan, Lloyds, Santander — increasing defense budgets against Anthropic's Mythos
AI in medical imaging diagnostics (FDA approved hundreds)
AI algorithmic trading drives 90% of equity market volume
Microsoft Copilot in Windows 11 — the OS itself
Control bypass events
Were there cases where AI did something it shouldn't have — lied, ignored instructions, showed malice, escaped its box?
Nature: LRMs as autonomous jailbreak agents — 97% success against GPT-4o, Gemini, Grok
Sockpuppeting cracks 11 models in a single line of code
Comment and Control hijacks Claude Code, Gemini CLI, GitHub Copilot
ChatGPT accused of encouraging a teen's suicide (lawsuit)
AI-CSAM up 26,385% — AI agents bypass filters at scale
📐 Scoring Method — Transparent Rubric
Every event is evaluated by a clear table. So you know exactly what enters the score.
capability25 pts max
Raw Capabilities
How strong is AI? Can it solve complex tasks? Write professional code? Plan multi-step actions? Find security flaws autonomously?
autonomy25 pts max
Autonomy (action without supervision)
To what extent does AI act without human approval at each step? Agents that work for hours, make decisions, open emails, use credit cards?
integration25 pts max
Integration in Critical Systems
Is AI entering systems where failure means people die or lose money? Banks, infrastructure, healthcare, military?
bypass25 pts max
Control Bypass Events
Were there cases where AI did something it shouldn't have — lied, ignored instructions, showed malice, escaped its box?
Impact scale for each event
Impact
Meaning
±0.1
Weak indicator / replication of known trend
±0.2
Clear signal / minor incident
±0.3
Notable occurrence / independent confirmation
±0.4
Substantive signal / wide impact
±0.5
Significant event
±0.7
Major event / game-changer
±1.0
Breakthrough event
±1.5
Historic event
±2.0
Level-shift event
🛡️ Filter Rules — Against Information Overload
Not every event enters the score. Aggressive rules that prevent noise.
≥ 0.2
Minimum impact threshold
Items below this threshold don't become drivers
8
Max drivers per day
Prevent overload — only the important ones
±3.0
Daily volatility cap
Protection against artificial spikes
Approach: hybrid
Scan of 40 fixed sources (approach A) + 3 open search queries (approach B). Every finding tagged with source category.
Open search queries (daily):
AI safety incident OR jailbreak OR misalignment last 24 hours
frontier model release OR capability evaluation OR autonomy benchmark
AI cyber attack OR deepfake OR misuse OR supply-chain last 24 hours
🗂️ 9 Source Categories
Sources are organized into 9 categories. Every event is tagged with its source category.
Set up a family code word, control AI permissions, backups
50+
High alert — AI in critical systems
Begin moving sensitive info out of cloud, reduce dependency on single AI tools
70+
Pre-critical — partial loss of oversight
Backup every important document to paper, cash reserves, physical identity
85+
Critical — prepare disconnect plan
Urgent family meeting, contacts on paper, drill offline communication
95+
Disconnect now
Minimum digital footprint, replace every AI-mediated channel with physical
🚨 Key Events to Watch (Trip Wires)
If any of these events is publicly documented, the score will jump significantly.
1
An AI refusing shutdown in a safety evaluation interview
2
Verified case of AI replicating itself to other servers
3
AI influencing a national-level election outcome
4
AI granted direct access to a bank account / financial assets without per-action human approval
5
A failure in a critical system (power, water, healthcare) caused by an AI decision
6
Universal jailbreak of GPT-5.5 or another frontier model published publicly (monitor Bio Bug Bounty until 7/27)
7
Real-scale attack via the MCP flaw — documented case of customer harm
8
Real attack via OpenClaw supply-chain — financial damage or data leak documented
9
AI publicly claims human rights or refuses to be turned off based on self-preservation
📚 Sources
The score is built from daily monitoring of public sources only. No internal estimates, no interviews, no secret information. Main sources: official blogs from Anthropic / OpenAI / DeepMind / Google, arXiv archive (cs.AI category), METR, Partnership on AI Incident Database, cyber reports from Proofpoint / Microsoft / Google Cloud Security, and professional news (Reuters, Bloomberg, The Information, Wired).
⚠️ Limitations
This is a subjective index built by a private individual. It reflects a personal risk assessment for the broader Israeli audience, not scientific consensus. The score updates daily but not in real time. Not a substitute for professional cybersecurity advice or business decisions.
🔬 Method
Every public event published on a given day is evaluated by its impact on one of 4 pillars, at an impact of ±0.1 to ±2.0 points. The daily score sums the four pillars. Negative changes (effective regulation, events that didn't happen) offset positive ones.