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AI Briefings / Date Archive

2026-09-29
AI Briefings Daily Report.

An archive of 20 AI news briefs collected on 2026-09-29. Check the original sources for details and updates.

This content still needs to be cross-checked against the original publication page.

20 curated selectionsView other dates ↗
07News

Honor Magic9 entire series obtains first batch of "AI agent phone" network access certification

Honor CEO Li Jian announced that the entire Magic9 series received the first batch of 'AI Agent Phone' network access certification, marking AI agent phones moving toward standardization. The series was released yesterday, with three models in total, starting at 4499 yuan, the Pro Max version equipped with 200 million main camera and 8800mAh battery.

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09News

IMDEA Networks paper: nine conversational AI services leak conversation titles, prompts, and screenshots to third parties

IMDEA Networks IMDEA Networks IMDEA Networks IMDEA Networks/UC3M IMDEA Networks Independent IMDEA Networks IMDEA Networks IMDEA Networks As prominent conversational AI providers like OpenAI adopt ad-vertising-based business models, traditional web and mobile track-ing practices are expanding into conversational AI services [15]. However, despite their growing adoption, the tracking, data-sharing, and monetization practices of conversational AI services remain largely opaque and have received comparatively limited scrutiny from researchers, regu

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10News

Anthropic S-1 Filing Reveals 12-Fold Revenue Growth, Widening Losses, and $2 Trillion Valuation Expectations

Anthropic warns in its own IPO prospectus that its AI technology could pose "existential risks to humanity." Revenue grew twelvefold in 2025 to $4.6 billion, but the operating loss widened to $8.06 billion. Backers are aiming for a valuation above $2 trillion, and the IPO is expected to set the bar for the entire AI industry.

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11News

OpenAI reopens 200 US dollar Pro subscription, but halves API quota

OpenAI is reopening its $200 Pro subscription to new sign-ups but cutting API credits per dollar in half. More efficient models like GPT-6 Sol and Luna make up for the difference, employee Thibault Sottiaux says. The move is part of OpenAI's shift from subsidized flat-rate plans toward usage-based billing.

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13News

Google Research open-sources RRSI: agent self-improves harness under frozen model weights and avoids overfitting

Google Cloud AI Research, with UNC-Chapel Hill, Stanford and Washington University in St. Louis, has released RRSI (Regularized Recursive Self-Improvement). It lets an LLM agent rewrite its own harness: prompts, tools, memory, control flow and sub-agents. Model weights never change. RRSI constrains the improvement loop itself, so gains hold on benchmarks the agent never optimized against.

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