🌀 OpenAI prices reasoning at premium rates
Meta AI expands to 41 European countries
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Hey there, AI enthusiasts.
OpenAI is taking a new approach with its AI strategy. They believe enterprise customers will pay 10 times the typical rates for enhanced reasoning skills.
When companies pay $600 per million output tokens, a luxury tier in AI appears. Here, small improvements lead to big price jumps.
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In Today’s AI Daily:
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- OpenAI launches premium o1-pro API at luxury pricing
- Canopy Labs open-sources emotional text-to-speech
- Microsoft simplifies AI integration with MCP
- Telegram announces 1 billion users and $547M profits
- Meta AI expands to 41 European countries
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OPENAI
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🧠OpenAI brings premium o1-pro API for developers
Image source:Â OpenAI
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What’s up: OpenAI has released o1-pro to its API, a more powerful version of its reasoning-focused o1 model that uses additional compute for consistently better responses to complex problems.
Key notes:
- The model costs $150 per million input tokens and $600 per million output tokens—twice the price of GPT-4.5 input and 10x regular o1.
- Features a massive 200,000 token context window and 100,000 max output tokens.
- Available to developers who have spent at least $5 on OpenAI API services.
- Supports function calling and structured outputs but not streaming or fine-tuning.
- Early benchmarks show modest improvements on coding and math problems.
Why it matters: With this premium offering, OpenAI is betting that enterprise customers will pay substantially more for incremental quality improvements on complex reasoning tasks, suggesting a new pricing tier strategy for specialized AI capabilities rather than general-purpose models.
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CANOPY LABS
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🎠Orpheus TTS brings emotional intelligence to speech generation
Image source: Canopy Labs
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What’s up: San Francisco-based Canopy Labs has released Orpheus, an open-source text-to-speech system designed to bridge the quality gap between open and closed-source models while introducing unprecedented emotional expressiveness.
Key notes:
- The system delivers expressive speech with emotional nuances like sighs and laughs.
- Outperforms commercial models while being open-source.
- Uses a modified Llama-3B backbone for speech generation.
- Comes in 4 sizes (3B-150M parameters), all maintaining quality.
- Features zero-shot voice cloning from brief samples.
- Runs faster than real-time on standard hardware.
- Available on GitHub with demos on Hugging Face and Colab.
Why it matters: Emotional expressiveness in AI speech is crucial for natural interactions. By open-sourcing this technology, Canopy Labs enables wider adoption of natural AI voice interactions while providing an alternative to paid services.
MICROSOFT
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🤖 Copilot Studio gets powerful integration protocol
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Image source: Microsoft / Screenshot
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What’s up: Microsoft has introduced the Model Context Protocol (MCP) in Copilot Studio, enabling organizations to integrate AI apps and agents with just a few clicks while maintaining enterprise-grade security and governance.
Key notes:
- MCP automatically adds actions and knowledge to agents when connecting to an MCP server, updating as functionality evolves.
- The protocol works through connector infrastructure, supporting Virtual Network integration, Data Loss Prevention controls, and multiple authentication methods.
- Users can connect to custom internal APIs, external data providers, or access a marketplace of pre-built MCP-enabled connectors.
- The release includes SDK support with a three-step implementation process: create a server, publish through a connector, and consume the data.
Why it matters: As more companies start using AI, connecting different AI tools and data sources has been a major challenge. Microsoft's new MCP system makes this much easier by providing a simple way to connect AI tools while keeping company data safe and secure.
FASTÂ TRACKS
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🗞️ What Matters in AI Right Now?
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Ghost launched a public beta for ActivityPub integration. Now, newsletter creators on Ghost(Pro) can connect with the fediverse social web.
Telegram has over 1 billion active users, said founder Pavel Durov. He also shared that the company made $547 million in profits last year.
Meta is launching Meta AI in 41 European countries and 21 overseas territories. This brings smart chat features in six languages to over 700 million monthly active users.
Adobe introduced Project Slide Wow at Summit 2024. This generative AI tool turns raw customer data into PowerPoint presentations. It's designed for marketers and analysts.
Walmart launched Wally, a GenAI assistant for merchants. Wally automates data analysis, finds root causes, and handles complex calculations with Walmart's own data.
Deloitte launched Zora AI. This platform uses NVIDIA technology to provide business agents that are ready to deploy.
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✍️ Trinka: AI for grammar and academic writing fixes.
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