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PLUS: Gemini 1.5 Flash Price Cuts
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OpenAI's latest safety report for GPT-4o Voice Mode raises eyebrows by revealing concerns about potential emotional attachment and user addiction. Let’s unpack...
Today’s Summary:
🚨 OpenAI warns of Voice Mode addiction risk
📉 Gemini 1.5 Flash price drop
🏓 DeepMind's AI table tennis
🔧 Mistral AI introduces Agents
🎨 ChatGPT free users get DALL·E 3
đź“ą TikTok's upcoming AI video generator
âž• Qwen2-Math model tops charts
🛠️ 2 new tools
TOP STORY
OpenAI warns of potential user addiction to GPT-4o Voice Mode
The Summary: OpenAI has published the System Card, a detailed safety report for GPT-4o Advanced Voice Mode. Key concerns include the potential for users to form emotional attachments to the model, and risks of impersonation and disinformation. Testing was done by over 100 external experts across 45 languages.
Key details:
OpenAI warns of potential "anthropomorphization and emotional reliance" risks, with users expressing shared bonds with the model
OpenAI acknowledges potential effects of AI socialization, including reduced need for human interaction
Model was trained to refuse speaker identification
The system was classified as “medium risk” overall
Why it matters: As AI models gain new capabilities like advanced voice interaction, managing the potential for emotional attachment and reducing the risks of impersonation, disinformation, and misuse will be important for responsible adoption.
Gemini 1.5 Flash price drop and other improvements
The Summary: Gemini 1.5 Flash is now cheaper than GPT-4o mini. Starting August 12, input and output token prices will see substantial reductions. Currently, Gemini 1.5 Flash possibly has the best price-to-intelligence ratio for API applications.
Key details:
Input price reduced to $0.075 per million tokens vs $0.15 for GPT-4o mini
Output price cut to $0.3 per million tokens for prompts under 128K vs $0.6 for GPT-4o mini
Finetuning for Gemini 1.5 Flash is now available to all developers
Improved API documentation
Why it matters: Google is doubling down to offer the best deal in the API market. With these aggressive price cuts, Gemini 1.5 Flash is positioned as the go-to choice for developers building AI-powered applications.
DeepMind AI table tennis robot reaches human level
The Summary: Google DeepMind has developed an AI table tennis robot agent that can compete at a skilled amateur human level. The robot leverages a hierarchical policy to master low-level skills like forehand topspin and backhand targeting, as well as high-level strategic decision making. After training in a simulation, the agent won 45% of the matches, demonstrating significant skill.
Key details:
Achieved 45% win rate against 29 unseen human players
Won 100% of matches against beginner players
Hierarchical policy architecture with low-level skill controllers and high-level strategy
Weaknesses remain, particularly in handling underspin shots, which is also a challenge for human players
Why it matters: Achieving human-level speed and performance in real-world tasks is crucial for robotics research. This work introduces the first robot to reach amateur human-level performance in table tennis, a sport that requires years of training. It could help advance the development of more versatile and adaptable robots.
QUICK NEWS
Quick news
Mistral AI introduces Agents to create custom workflows
ChatGPT free users can now create two free images per day with DALL·E 3
That’s all for today!
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