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IN OTHER NEWS
Compelling stories beyond the usual categories
12 days of OpenAI tracker
The COAI team is tracking every OpenAI launch of their 12-day series
Day four: OpenAI has launched Canvas, a collaborative writing and coding tool that is now available to all ChatGPT users regardless of their subscription plan. The tool provides a side-by-side interface where users can edit documents alongside ChatGPT, with features like inline comments, formatting options, and the ability to track changes. Canvas now includes Python code execution capabilities with immediate feedback and visualization support, allowing users to run and debug code directly within the interface using a web assembly Python emulator. Additionally, OpenAI has integrated Canvas into custom GPTs, enabling developers to create specialized applications that automatically utilize Canvas when appropriate, as demonstrated with a Santa letter-writing GPT example.
AI events
The best way to get AI literate? Go to some awesome events
As a valued member of CO/AI, you're invited to join us at HumanX 2025, the premier AI conference shaping the future of technology.
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Connect with Industry Leaders:Â Network with C-suite executives, innovators, and policymakers.
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What’s happening in AI right now
Big promises and bigger valuations dominate artificial intelligence headlines
New analysis from Swift Ventures reveals that despite widespread corporate enthusiasm about AI, only a tiny fraction of companies claiming AI initiatives are making meaningful investments in the technology. Their novel scoring system, which uses fine-tuned language models to analyze public data, shows that barely 200 public companies maintain more than 1% of their workforce in AI-specific roles.
The real AI economy
Recent market activity paints a telling picture of this divide. While C3.ai surged 15% after strong quarterly results and MongoDB climbed 9% on optimistic forecasts, established players like Oracle declined 5% after missing earnings estimates. The pattern suggests investors are becoming more discerning about which companies are genuinely positioned to capitalize on AI advances versus those simply riding the hype cycle.
This selective enthusiasm extends to private markets. WaveForms AI, founded by former OpenAI researcher Alexis Conneau, just secured a $200 million valuation and $40 million in seed funding from Andreessen Horowitz for its emotionally-aware voice AI technology. Meanwhile, AI-powered language learning platform Speak attracted investment from OpenAI's own startup fund after demonstrating concrete user growth - with 6% of Korea's population achieving English fluency through their app.
Follow the talent
The most meaningful signal of a company's AI commitment may be their ability to attract and retain specialized talent. Swift Ventures' analysis reveals this as a key differentiator: companies in their high-scoring index have shown 37% annual growth over three years, significantly outperforming both the Nasdaq and S&P 500.
This talent chase is creating fascinating dynamics in the chip sector. AMD faced a 3% stock drop after Bank of America raised concerns about cloud providers increasingly favoring custom-made processors. The trend highlights how even established players must constantly evolve their value proposition as the AI landscape shifts.
Beyond the buzzwords
Perhaps the most intriguing developments are happening at the experimental edges of AI applications. Friend, a startup developing AI companions to combat loneliness, recently raised $5.4 million to launch a $99 pendant enabling emotional conversations with an AI. While the ethical implications of artificial intimacy deserve consideration, the company's approach highlights how AI applications are moving beyond pure utility into more nuanced human experiences.
Similarly, Aampe secured $18 million in Series A funding for its "agentic AI" technology that dynamically adapts apps based on individual user behavior. With over 100 million AI agents deployed across enterprise customer apps globally, they're demonstrating how AI can create truly personalized digital experiences at scale.
The emerging picture suggests we're entering a more mature phase of AI adoption where concrete results matter more than sweeping promises. Companies that can demonstrate meaningful investment in AI talent, technology, and novel applications are being rewarded, while those merely drafting off the trend are facing increased scrutiny.
We publish daily research, playbooks, and deep industry data breakdowns. Learn More Here
In Bagel’s most recent article, they reveal how large language models are evolving from prediction tools to cognitive agents. From breaking down math problems to understanding everyday logic, this is AI's next frontier.
Key takeaways:
Training-time methods: These approaches, including fine-tuning and curriculum learning, focus on enhancing AI during development by tailoring its abilities to solve complex tasks and building specialized skills for specific problem areas.
Inference-time methods: Techniques like chain of thought and self-consistency optimize AI’s reasoning and decision-making in real time, enabling more accurate and dynamic problem-solving without requiring retraining.
In other words, Bagel’s article explains how AI is evolving from simple prediction tools to smarter systems that can reason through problems and make better decisions in real time.
📬 Join 30,000+ readers exploring the cutting edge of AI research. Read Bagel’s most recent article to understand how reasoning will define the next leap in AI’s evolution.
AI generated art
A look at the art and projects being created with AI
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