HTC challenges Meta's smart glasses dominance

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Good morning, AI enthusiasts. HTC just launched VIVE Eagle AI glasses with dual OpenAI and Google assistants, taking direct aim at Meta's successful Ray-Ban smart eyewear line.

With premium pricing and advanced AI capabilities, could this mark the beginning of a real smart glasses war?

In today's recap:

• Claude gains power to end abusive conversations

• HTC launches premium AI glasses to challenge Meta

• Stanford AI slashes dangerous pharmacy errors

• OpenAI makes GPT-5 warmer and friendlier

• IBM & USTA debut new US Open Fan AI

HTC

HTC's VIVE Eagle takes direct aim at Meta's Ray-Ban glasses

Recaply: Taiwanese tech giant HTC launched VIVE Eagle AI glasses to compete directly with Meta's successful Ray-Ban smart eyewear line. The new glasses offer advanced AI features at a premium price point.

Key notes:

• Users can switch between OpenAI and Google AI assistants.

• Built-in camera enables voice-activated photography.

• Real-time translation works across 13 languages offline.

• Priced at $520 versus Meta's $300 Ray-Ban glasses.

• Currently available only in Taiwan through retail partners.

• Features open-ear audio design for all-day comfort.

Impact: Competition in smart glasses heats up as HTC challenges Meta's market lead. Premium pricing suggests focus on tech-savvy early adopters willing to pay more for advanced AI capabilities.

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ANTHROPIC

Claude gets "hang up" power for abusive chats

Recaply: Anthropic just gave Claude Opus 4 and 4.1 the ability to end conversations when users become persistently harmful or abusive. This marks one of the first AI welfare features deployed in consumer chatbots.

Key notes:

• Feature triggers only after multiple redirection attempts fail on harmful content requests.

• Testing showed Claude exhibited distress patterns when processing requests about violence, terrorism, or minors.

• Users retain full account access and can immediately start new conversations.

• Safeguards prevent ending chats when users show self-harm risk or imminent danger.

• Vast majority of users won't encounter this feature during normal product use.

• Users can edit previous messages to create new branches of ended conversations.

Impact: This deployment represents early steps into AI welfare research as models become more sophisticated. While uncertainty remains about AI consciousness, Anthropic is implementing low-cost interventions that could prove important if model welfare becomes a reality.

AI RESEARCH

AI copilot slashes pharmacy prescription errors

Recaply: Stanford researchers developed MEDIC, an AI assistant that dramatically improves prescription accuracy at pharmacies. The system specifically addresses instruction translation errors that lead to patient harm and billions in healthcare costs.

Key notes:

• Standard AI models showed higher error rates than rule-based pharmacy systems.

• MEDIC combines pharmaceutical domain knowledge with language processing.

• Tested through Amazon Pharmacy's actual prescription production pipeline.

• Small language changes can create major medication dosage problems.

• Swiss cheese safety model: multiple systems needed to prevent errors.

• Technology enables pharmacists to focus on patient care over data entry.

Impact: MEDIC could transform medication safety by addressing a critical weak point in healthcare delivery. The system offers a scalable solution to prescription errors while supporting rather than replacing essential human oversight in pharmacies.

NEWS

📰 What’s matters in AI right now?

• OpenAI updated GPT-5 to feel warmer and friendlier after user feedback said it was too formal.

• Higgsfield AI launched Product-to-Video, allowing users to place products directly into video frames without prompts.

• ElevenLabs introduced Video-to-Music in Studio, generating custom soundtracks based on video content in one click.

• IBM and USTA debuted AI-powered fan experiences for the 2025 US Open, including Match Chat assistant for real-time help.

• StepFun AI introduced NextStep-1, a 14B transformer for image generation that achieves new benchmarks for autoregressive models.

• Meta FAIR introduced DINOv3, a computer vision model that outperforms specialized solutions on multiple dense prediction tasks.

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