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- Google Maps now lets you access Gemini while walking and cycling
Google Maps now lets you access Gemini while walking and cycling
Plus: Insurers betting big on AI: Accenture

Today's Newsletter Highlights:
Google Maps now lets you access Gemini while walking and cycling
Open-source AI models vulnerable to criminal misuse, researchers warn
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Google Maps now lets you access Gemini while walking and cycling
Hands-Free Gemini Access for Walking and Cycling: Google Maps users can now use the AI assistant, Gemini, when walking or cycling. You no longer need to type or leave the navigation screen.
Key points :
Continuing Its Rollout: This expands on the earlier driving mode integration. Now, conversational AI is here for all three main navigation modes: driving, walking, and cycling.
Ask Context-Aware Questions: You might say, “What’s this neighbourhood like?” or “Are there any cafés with restrooms close by?”” or “What’s my ETA?” while following a route.
Available Globally on iOS, Rolling Out on Android: At launch, the feature is widely available on iOS where Gemini is supported. It is being gradually rolled out to Android devices.
đź§ Why This Matters
Conversational Navigation: This update makes Maps a more interactive assistant. It can answer questions about your trip and nearby places instantly, not just give turn-by-turn directions.
Safety and Convenience: The hands-free design keeps people safer. It lets them focus on their surroundings while walking or cycling.
Part of a Bigger Plan: Google is adding Gemini to its products. This will make services more AI-driven and conversational.
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Insurers Boost AI Investment A new Accenture survey shows that 90% of senior insurance leaders plan to increase AI spending in 2026.
This highlights their strong belief that AI can drive growth and strategic change.
AI as a Growth Engine About 85% of insurers see AI as a way to boost revenue, not just cut costs.
Key points :
From Pilots to Full Use Companies are moving beyond small tests. They are integrating AI into wider operations like underwriting, claims, and customer service.
Challenges Identified
Skills Gap Slowing Progress
A major challenge is the shortage of trained talent. There isn't enough expertise to implement and scale AI effectively.
This issue appears across various industry studies.
Employee Adoption Lags Behind Leaders Leaders are hopeful about AI, but many employees feel unprepared. Few report adequate training or involvement in shaping how AI affects their work.
Data Quality and Trust Issues
Some insurers think that bad AI results lower productivity and damage trust in the technology.
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Open-source AI models vulnerable to criminal misuse, researchers warn

Cybersecurity researchers found that criminals often misuse open-source large language models (LLMs). This risk increases when these models run on internet-connected computers without proper protections.
SentinelOne and Censys conducted the study over 293 days. They surveyed thousands of open-source LLM instances exposed online.
Key points :
Security Vulnerabilities and Misuse
Criminals can hijack systems that host these models to do harmful things, like:
• Generating spam, phishing messages, and disinformation.
• Producing hate speech, violent content, or stealing personal data.
• Facilitating scams or serious abuses like child sexual abuse material.
Many systems that were checked had their safety measures taken away. This made them easier to misuse.
In about 7.5% of cases, prompts were found that could enable harmful activities.
Geographic Spread
About 30% of exposed open-source models were hosted in China, while around 20% were in the United States. This shows the global nature of the risk.
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