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AI · July 2026

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Anthropic’s Opus 5 Is Better at Resisting Prompt Injection

The chart is interesting. On the IPI benchmark, Opus 5 improved over Opus 4.8, reducing the probability of an attacker succeeding within 15 attempts from 5.5% to 2.0%, and from 0.5% to 0.2% on 1 attempt. It also improved on Sonnet 5 (5.9% at k=15) and Mythos 5 (2.6%), making it the most robust model evaluated.

PwC just got caught trying to pass AI slop as authentic research

PwC just got caught trying to pass AI slop as authentic research

The AI hallucinations were confirmed by multiple leading publications, including the Financial Times. The so-called "Thought Leadership" reports were intended to articulate PwC's insights into some of the fastest-growing businesses in the Middle East, including agentic AI, public services, and electric vehicles.

Can the internet survive rogue AI?

Can the internet survive rogue AI?

The internet may no longer be solely the domain of humans. Last week, OpenAI disclosed an “unprecedented cyberincident”: An experimental AI agent successfully hacked its way into the open internet.

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Advancing the price-performance frontier with GPT‑5.6

Advancing the price-performance frontier with GPT‑5.6 Huge price drop from OpenAI today: GPT-5.6 Terra got a 20% reduction, and GPT-5.6 Luna got a massive 80% drop. OpenAI credit 5.6 Sol with enabling this: in How GPT‑5.6 fuses frontier intelligence with frontier efficiency they describe using 5.6 Sol to optimize load balancing, and more…

llm 0.32rc2

Release: llm 0.32rc2 Hot on the heels of RC1 , this fixes a dependency issue and also adds two neat new features: The default model for users who have not set their own default is now GPT-5.6 Luna .

How attack path mapping helps AI security agents prioritize risk

How attack path mapping helps AI security agents prioritize risk

Security teams have spent years chasing alerts in isolation while attackers move fluidly across cloud, identity and device boundaries. That mismatch is pushing more practitioners toward attack path mapping — using graph databases to show AI agents exactly how a threat could reach sensitive data, and where to act first.