Back to News

Pocket FM gives its writers an AI tool to transform narratives, write cliffhangers, and more

AI News - TechCrunch
Aug 13, 2025 16:48
Ivan Mehta
1 views
aistartupstechnology

Summary

Pocket FM is developing a large language model (LLM) to assist writers in quickly crafting narratives, generating cliffhangers, and boosting audio show production. This move highlights the growing role of AI in creative content creation, streamlining workflows and expanding storytelling possibilities in the audio entertainment industry.

Pocket FM is building LLM to help users write faster and in turn, produce more audio shows.
Read Full ArticleMore News

Related Articles

7 Altcoins With Explosive Potential — Analysts Rank Them as the Best Buys for 2025 Gains

Analytics InsightAug 14

Analysts have identified seven altcoins with strong growth potential for 2025, citing advancements in AI integration and blockchain technology as key drivers. These coins are expected to benefit from increasing adoption of AI-powered decentralized applications, signaling a trend toward greater synergy between AI and crypto markets. The article suggests investors may see significant gains as AI continues to reshape the digital asset landscape.

Free Fire MAX Redeem Codes (August 14, 2025): Claim Diamonds, Emotes & More

Analytics InsightAug 14

The article provides a list of Free Fire MAX redeem codes for August 14, 2025, allowing players to claim in-game rewards such as diamonds and emotes. While primarily focused on gaming, the distribution of such codes highlights the increasing use of automated systems and AI-driven personalization in enhancing player engagement and reward mechanisms. This trend reflects the broader integration of AI technologies in gaming to improve user experience and retention.

DeepSeek's launch of new AI model delayed by Huawei chip issues

Hacker News - AIAug 14

DeepSeek has delayed the launch of its new AI model due to issues with Huawei-supplied chips, according to a Financial Times report. This setback highlights ongoing challenges in the AI industry related to hardware supply chains, particularly amid increasing restrictions on advanced chip technology.