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- The Text-to-Video Battleground 🎥
The Text-to-Video Battleground 🎥
The launch of Haiper 1.5 positions the London-based startup as a strong contender
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News Roundup
Claude Challenges ChatGPT on Android - Anthropic has released its AI assistant Claude on Android, intensifying competition with OpenAI’s ChatGPT and signaling a new phase in the mobile AI race.
Arcee AI Secures $24M - Small language models, offering enterprises cost-effective, customizable AI solutions across diverse industries.
Major AI Companies Used Subtitles to Train Models - Apple, Nvidia, and Anthropic have used subtitles from over 170,000 YouTube videos to train their AI models without the creators’ knowledge.
The Text-to-Video Battleground - The launch of Haiper 1.5 positions the London-based startup as a strong contender in the rapidly evolving AI video generation market.
Todays Top Story
A novel method that helps AI models understand and process spreadsheets more efficiently, potentially improving chatbot interactions with complex data has been launched.
It includes modules that make spreadsheets more legible for LLMs, bypass empty cells and repeating numbers, and help LLMs better understand the context of numbers (e.g., distinguishing years from phone numbers).
A version of SpreadsheetLLM could be integrated into offerings like Microsoft Copilot for 365 in the near future. This would make it easier for users to upload entire spreadsheets and ask chatbots plain-language questions to receive data summaries or even analysis.
Tool Spotlight
The Latest AI Research
Meta’s 3D Gen
Meta’s GenAI team introduces Meta 3D Gen, a state-of-the-art pipeline for text-to-3D asset generation.
This technology addresses the time consuming and challenging aspects of 3D content creation for video games, augmented and virtual reality applications, and special effects in movies/television.
3DGen integrates two key components: Meta 3D AssetGen for initial 3D generation and Meta 3D TextureGen for high-quality texturing. The system utilizes multiple object representations (view space, volumetric space, and UV space) to enhance the consistency and quality of generated assets.
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