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Matthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
Read full article about: Claude Opus 4.5 resists prompt injections better than rivals but still falls to strong attacks alarmingly often

Claude Opus 4.5 scores higher than its rivals in prompt-injection security, but the results show how limited these defenses still are. A benchmark by the security firm Gray Swan found that a single "very strong" prompt injection attack breaks through Opus 4.5's safeguards 4.7 percent of the time. Give an attacker ten attempts and the success rate jumps to 33.6 percent. At 100 attempts, it reaches 63 percent. Even with those gaps, Opus 4.5 still performs better than models like Google's Gemini 3 Pro and GPT-5.1, which show attack rates as high as 92 percent.

Anthropic

Prompt injection works by slipping hidden instructions into a prompt to bypass safety filters, a long-standing weakness in large language models. The issue becomes even more serious in agent-style systems, which expose more potential entry points and make these attacks easier to exploit.

Read full article about: AWS to invest up to $50 billion in U.S. AI and supercomputing for government agencies

Amazon has announced a major investment in its AI footprint for federal work, saying it will spend up to $50 billion to expand AI and supercomputing infrastructure for U.S. government agencies. The project supports the U.S. government’s AI Action Plan and is expected to help agencies accelerate discovery, decision-making, and mission workflows, including through faster analysis and automation.

Amazon’s investment underscores the strategic importance of AI and supercomputing in maintaining technological superiority, safeguarding critical infrastructure, and driving industrial innovation.

Starting in 2026, AWS plans to add nearly 1.3 gigawatts of new compute capacity across its Top Secret, Secret, and GovCloud (US) regions. Once live, agencies will be able to use services such as SageMaker, Bedrock, Trainium chips, and Anthropic models to build their own AI applications, speeding up data analysis and improving workflows in areas like cybersecurity, healthcare research, and autonomous systems.

Read full article about: Google adds Nano Bana Pro slide generator to NotebookLM

Google has added a slide generator to NotebookLM, giving users a quick way to turn their sources into simple slide decks. The tool can help structure notes or produce early drafts, and Google says it can also enhance existing slides visually.

Right now, NotebookLM delivers slides only as PDFs. Export options for Google Slides and PowerPoint are in development, Google says. The feature is available immediately, with daily usage limits based on the user's account.

The slide tool, along with a new infographic feature, runs on Google's Nano Bana Pro model (Gemini 3 Pro Image Generation). It is the first model capable of turning highly detailed prompts into precise, text-heavy images.

Read full article about: The White House has paused a federal order that would have overridden state-level AI regulations

The White House has reportedly put a hold on a draft executive order that would have let federal law override state-level AI regulations. According to Reuters, the draft called for the Department of Justice, led by Pam Bondi, to form a task force that could challenge states with stricter AI rules. The plan would have shifted full authority for AI legislation to the federal government. Critics warned that this approach threatened consumer protections and states' rights.

The move comes as Donald Trump continues pushing broad deregulation in the AI sector following his return to office in early 2025. The debate has intensified since early October, when California passed SB 53, the country's first comprehensive safety and transparency law for major AI companies. Google, OpenAI, and other tech firms have backed nationwide rules, arguing that a patchwork of state laws would slow innovation.