ZeroSlop — May 17, 2026
12 stories worth knowing about today — AI breakthroughs, launches, and innovations making a difference.
Slashdot
Amazon Stops Supporting Pre-2013 Kindles Today. Some Owners Turn to Jailbreaking
Amazon Stops Supporting Pre-2013 Kindles Today. Some Owners Turn to Jailbreaking
Amazon’s sunset of older Kindle devices today isn’t the end of the road—it’s a wake-up call sparking creative solutions, from sideloading DRM-free ebooks to leveraging open-source tools like Calibre and free repositories like Standard Ebooks. The move highlights a growing ecosystem of alternatives that gives readers real ownership of their digital libraries, proving that legacy hardware doesn’t have to mean dead hardware. It’s a reminder that when corporations move on, resourceful communities step in—turning potential e-waste into thriving platforms for literary freedom.
Tom’s Hardware
UK’s ‘Loyal Wingmen’ Drones Take Flight for Apache Helicopters
The British Army is one major step closer to deploying autonomous support drones that’ll fly alongside Apache helicopters—four companies just landed funding to develop these “loyal wingmen” that can handle everything from precision strikes to reconnaissance. Project NYX marks a genuine shift in how modern combat teams could operate, with AI-powered drones handling dangerous tasks while keeping pilots in smarter command of the mission. This isn’t distant sci-fi: the UK is funding it now, and it could fundamentally reshape rotary-wing warfare within years.
Slashdot
How I Added an LLM-Based Grammar Checking + TeX Math Import To LibreOffice
A veteran Microsoft word-processing engineer has successfully integrated LLM-powered grammar checking and TeX math import into LibreOffice, bringing enterprise-grade AI writing assistance to the world’s most widely used open-source office suite. By leveraging deep expertise in text processing architecture, Curtis has demonstrated that sophisticated language AI can enhance productivity tools without proprietary lock-in—making professional-quality writing assistance genuinely accessible to everyone. This is a win for open-source software and proof that the best ideas aren’t trapped behind corporate walls.
Slashdot
Anthropic’s Mythos Helped Build a Working macOS Exploit in Five Days
Anthropic’s Mythos Accelerates Security Research—and Exposes Apple’s Defenses
Anthropic’s Mythos Preview just helped security researchers crack Apple’s five-year-old Memory Integrity Enforcement system in just five days, exposing a root-access vulnerability that bypasses one of modern computing’s toughest security layers. This isn’t a failure of AI—it’s a powerful reminder that advanced AI tools are accelerating security research itself, forcing defenders to innovate faster and making the cat-and-mouse game between hackers and protectors more intense than ever. The discovery underscores why responsible disclosure and AI safety partnerships matter: as these tools get more capable, we need them working with security teams, not against them.
Slashdot
Linux Kernel Outlines What Qualifies As A Security Bug, Responsible AI Use
Linux Kernel Sets New Standards for AI-Assisted Security Research
The Linux 7.1 kernel just established clear guidelines for what counts as a security vulnerability and how to responsibly handle AI-discovered bugs—a timely move as AI-powered vulnerability research floods in from researchers worldwide. By treating AI-assisted findings as public disclosures that inevitably surface across multiple teams simultaneously, the kernel maintainers are creating a smarter, more transparent framework that accelerates security improvements rather than penalizing innovation. This pragmatic approach signals how mature open-source projects can harness AI’s power while maintaining rigor and accountability.
AWS Machine Learning
Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI
Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI
Amazon SageMaker AI just made EU AI Act compliance measurable and painless—developers can now track computational FLOPs during LLM fine-tuning and instantly determine their regulatory status with a single configuration flag. This open-source toolkit turns compliance from a compliance headache into a streamlined, audit-ready process, letting teams focus on innovation while staying on the right side of regulation. It’s a game-changer for anyone building AI in regulated markets.
OpenAI News
How frontier firms are pulling ahead
How frontier firms are pulling ahead
Frontier enterprises aren’t just experimenting with AI—they’re shipping agentic workflows that fundamentally reshape how work gets done, according to OpenAI’s latest B2B Signals research. These leaders are moving beyond point solutions to build integrated systems that compound competitive advantage, revealing a widening gap between AI-native organizations and the rest. The playbook is clear: the winners are those scaling AI agents now, not those waiting for the perfect moment.
Google DeepMind
Google’s year in review: 8 areas with research breakthroughs in 2025
Google’s 2025 Research Breakthroughs Spark Next Wave of AI Innovation
Google delivered eight major research victories this year that are reshaping what’s possible in AI, from dramatic leaps in reasoning and multimodal understanding to breakthroughs in efficiency and real-world applications. These advances aren’t just incremental—they’re unlocking capabilities that were considered out of reach just months ago, setting the stage for a fundamentally more capable generation of AI systems. Whether you’re tracking model performance, practical deployment, or the future of human-AI collaboration, Google’s 2025 research portfolio signals where the entire field is headed.
Recorded Future
Emerging Enterprise Security Risks of AI
Emerging Enterprise Security Risks of AI
As AI agents gain autonomy to execute complex tasks independently, enterprises face a critical new frontier in security—one where speed and intelligence can outpace traditional defenses if not carefully architected. This moment demands innovation in how we build safeguards alongside agent capabilities, creating an opportunity to establish security-first AI deployment standards that protect organizations while unlocking agentic AI’s transformative potential. The companies that solve this challenge will lead the next wave of trustworthy enterprise AI.
Cisco Talos
AI-powered honeypots: Turning the tables on malicious AI agents
AI-powered honeypots: Turning the tables on malicious AI agents
Researchers have cracked a smart defense: using generative AI to rapidly deploy adaptive honeypots that can outsmart and contain malicious AI agents before they cause real damage. By flipping the script on threat actors who exploit AI’s speed and automation, this breakthrough transforms our security posture from reactive to proactive. It’s a powerful reminder that the same AI tools fueling innovation can also become our most sophisticated shield against cyber threats.
Google Security Blog
VRP 2025 Year in Review
Google’s Vulnerability Rewards Program hit 15 years of protecting billions of users, and 2025 proved the model works better than ever—the company paid out millions to ethical hackers who discovered critical security gaps that internal teams might have missed. This milestone demonstrates that crowdsourced security research isn’t just a nice-to-have perk; it’s become essential infrastructure for keeping the internet safer. As threats evolve faster than any single company can respond, Google’s commitment to rewarding the global research community shows how collaboration, not competition, is the real path forward for cybersecurity.
Google Security Blog
Android expands pilot for in-call scam protection for financial apps
Android is doubling down on AI-powered scam detection with an expanded pilot that catches financial app fraud during calls—building on proven wins that already show Android users are 58% less likely to receive scam texts than iOS users. The company’s layered defense across calls, texts, and messaging apps demonstrates how machine learning can outpace increasingly sophisticated social engineering attacks. This matters because mobile scams cost billions annually, and Android’s approach proves that proactive, AI-driven protection can genuinely shield millions from real financial harm.