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Launches, updates, DeepMind & YouTube
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Law, regulation, defense, pilot programs & politics
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 one:
OpenAI launched ChatGPT Pro, a $200/month plan offering unlimited access to its most advanced models and enhanced productivity tools. This subscription is designed for researchers and professionals looking to push the boundaries of AI tools.
OpenAI launched the full version of its advanced reasoning model, o1, now capable of processing both images and text. The updated o1 boasts faster speeds—completing tasks in under half the time—and a 34% reduction in error rates.
OpenAI then released the o1 System Card, detailing safety measures like external red teaming and risk evaluations for o1 and o1-mini. The scorecard rates key risks, allowing deployment only for models scoring "medium" or below post-mitigation.
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What’s happening in AI right now
Google's AI strategy takes shape through a week of product launches
Google appears to be executing a clear strategy: integrating artificial intelligence capabilities across its entire ecosystem of products, from smartphones to web browsers to weather forecasting. The company's wave of announcements this week reveals a deliberate approach focused on embedding AI into familiar tools and daily workflows.
The Chrome effectÂ
Google's most notable move brings its Gemini AI to Chrome's address bar, letting users access AI capabilities by simply typing "@gemini" - a small but significant change that leverages Chrome's massive market share to drive AI adoption. This mirrors Google's historical success in embedding services like search and translate directly into users' daily workflows.
Device intelligenceÂ
The company is also pushing AI deeper into hardware through a major Pixel feature update that adds Gemini-powered capabilities across the phone's interface. Most notably, the update includes accessibility features like expressive captions that use AI to convey emotional context in real-time transcriptions.
Research and infrastructure
Behind these consumer-facing changes, Google continues advancing core AI research. The release of PaliGemma 2, which combines advanced vision and language capabilities, signals Google's intent to maintain technical leadership while making models more accessible through commercial-friendly licensing.
Perhaps most impressive is DeepMind's GenCast, an AI weather forecasting system that outperforms traditional methods - demonstrating how Google is applying AI to solve complex scientific challenges.
Challenges aheadÂ
Still Google faces headwinds. The departure of key team members from its NotebookLM project highlights the challenge of retaining AI talent. While Google excels at technical innovation, successfully integrating AI into user workflows while competing to stay at the cutting edge is a complex challenge.
Looking ahead
Google's approach raises interesting questions: Will embedding AI into everyday tools accelerate adoption more effectively than standalone AI products? Can Google maintain its technical edge while making AI accessible enough for mainstream use? The answers will likely shape not just Google's future but the broader trajectory of AI integration into daily life.
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.
