Highlights
Top Insights
The most valuable tech breakthroughs don’t come from just new inventions: they happen when mature, proven technologies are combined with experimental ones. For example, pairing reliable AI with emerging quantum computing can produce powerful solutions, like advanced simulations for drug discovery or materials science.
Tech convergence doesn’t just improve existing tools, it creates entirely new business categories and value chains. For instance, China’s repurposing of smartphone and drone technologies to make affordable humanoid robots is reshaping global manufacturing and healthcare.
Sources: World Economic Forum
Top News
1. ChatGPT for Business has new features, including connectors to internal data sources and a “record mode” for meeting transcription and summarization.
2. The FDA has launched Elsa, a secure, agency-wide generative AI tool designed to help with summarizing and writing.
3. Eleven v3 text-to-speech model enables AI voices to express emotions like whispering and laughing, while the Conversational AI 2.0 voice assistant platform features advanced turn-taking and multimodal capabilities.
4. Google quietly launched an experimental Android app called Google AI Edge Gallery that lets users download and run Hugging Face AI models locally on their phones.
5. HeyGen has launched AI Studio, a video editor that gives creators end-to-end control over professional-quality video production while Luma Labs’ “Modify Video” tool uses AI to transform video scenes—altering settings, styles, or characters—without reshooting.
Additional Insights
1. How AI Is Becoming a Partner in Human Creativity (IDEOU)
Generative AI is reshaping creativity by acting not just as a tool but as a genuine partner in the creative process, helping professionals stay in flow and overcome blocks. Experts like Matthieu Lorrain and Savannah Kunovsky highlight how AI accelerates prototyping, visualization, and cross-media experimentation, making bold ideas easier to realize. We’re entering an era of “liquid content,” where AI enables real-time, personalized storytelling, raising questions about creator agency and the importance of system-thinking. Creative tension between human intuition and AI’s unpredictable outputs often leads to unexpected breakthroughs. The key to leveraging AI effectively is hands-on experimentation, with an emphasis on staying human-centered and treating AI as a collaborator that enhances—not replaces—human expression.
2. Companies Are Using AI to Make Faster Decisions in Sales and Marketing (Harvard Business Review)
Companies are using AI to speed up decision-making in sales and marketing, shifting from slow, deliberate analysis to faster, more responsive actions. Traditionally, decisions were made reflectively, after gathering and studying data, but today’s fast-changing environment demands more reflexive decisions, which use real-time data and automation to respond instantly. This doesn’t mean abandoning careful thinking, but rather using AI to accelerate it and make quick, context-aware choices when needed. Tools like Microsoft’s Daily Recommender and AI assistants in biopharma and finance help teams act faster, personalize customer engagement, and stay competitive. By integrating AI into daily workflows, companies are shortening timelines, improving responsiveness, and creating a real advantage in a rapidly evolving marketplace.
3. What’s next for AI and math (MIT Technology Review)
Tools like Google DeepMind’s AlphaEvolve and Meta’s PatternBoost support mathematicians in brainstorming and navigating complex problems, but they lack the creative insight and intuition that characterize major advances. Models can now assist with tasks and highlight dead ends, yet they remain far from solving foundational challenges like the Riemann hypothesis. The gap between solving structured test problems and pioneering new mathematical ideas persists, suggesting that while AI is becoming a valuable collaborator, the essence of innovation in math still depends on human insight—for now.
4. Overcoming two issues that are sinking gen AI programs (McKinsey)
Generative AI programs often falter due to two recurring challenges: failure to innovate and failure to scale. Innovation stalls when teams are bogged down by rework, unclear compliance requirements, and siloed experimentation, wasting up to half of their time. Scaling is hindered by risk concerns and cost overruns, preventing promising prototypes from becoming production-ready. These issues frequently derail entire initiatives rather than isolated use cases. However, companies can avoid these pitfalls by building a robust gen AI platform comprising three elements: a secure self-service portal for developer access and governance, an open architecture enabling reuse of services and components, and automated, responsible AI guardrails for compliance and cost control. This approach accelerates development, improves consistency, and helps enterprises deploy gen AI at scale while managing risk effectively.
5. When can AI make good decisions? The rise of AI corporate citizens (McKinsey)
Agentic AI is poised to transform enterprise operations by replacing static, rule-based systems with autonomous, reasoning agents that adapt workflows, make complex decisions, and collaborate with humans and other AIs. Unlike traditional automation or generative AI, agentic systems continuously learn, operate across functions, and can dynamically respond to changing conditions. Organizations that integrate these agents effectively—treating them as “corporate citizens” with defined roles, cost structures, and governance—can achieve major gains in speed, accuracy, and scalability. Success requires rethinking decision-making, designing smart operations where AI and humans complement each other, and aligning culture, talent, data, and architecture. The key is not just in automating tasks, but in redesigning which decisions should be made by AI versus humans, ensuring strategic insight and accountability at every level.
Innovation Radar
1. AI Model Releases and Advancements
Google’s upgraded Gemini 2.5 Pro model, now available in preview, offers top-tier performance across coding and reasoning benchmarks ahead of its upcoming general release (Google).
Anthropic has launched Claude Gov, a set of AI models tailored for U.S. national security agencies, offering enhanced performance in classified, defense, and intelligence applications while maintaining strict safety standards (Anthropic).
Elevenlabs’ new Eleven v3 text-to-speech model enables AI voices to express emotions like whispering, laughing, and sighing naturally, supporting over 70 languages and realistic multispeaker dialogues for professional media use (The Decoder).
2. AI Tools and Features
ElevenLabs has launched Conversational AI 2.0, a major upgrade to its voice assistant platform featuring advanced turn-taking, multilingual support, enterprise-grade security, and multimodal capabilities to enable more natural, intelligent, and scalable voice interactions for businesses (VentureBeat).
Character.AI has launched a powerful new suite of creative tools, including Scenes, AvatarFX, and Streams, to help users craft immersive, multi-modal storytelling experiences and connect more deeply with their audiences (Character AI).
Sakana AI introduced Darwin-Gödel Machine, a self-evolving AI system that boosts performance by continuously rewriting and testing its own code through an open-ended, evolutionary process (The Decoder).
Microsoft has launched Bing Video Creator, a free AI-powered tool integrated into the Bing Mobile App (and soon desktop), that allows users to turn text prompts into short videos using Sora (Microsoft).
Google quietly launched an experimental Android app called Google AI Edge Gallery that lets users download and run Hugging Face AI models locally on their phones (TechCrunch).
Manus has introduced a text-to-video tool that generate short videos in minutes (Bloomberg).
HeyGen has launched AI Studio, a powerful, intuitive AI-driven video editor that gives creators end-to-end control over professional-quality video production through advanced features like avatar voice and gesture control, script-based editing, and upcoming tools for dynamic visuals and B-roll integration (Business Wire).
Luma Labs’ new “Modify Video” tool uses AI to transform video scenes—altering settings, styles, or characters—without reshooting, while preserving original motion and performance (TechRadar).
Mistral Code is an enterprise-grade AI coding assistant that integrates powerful models, in-IDE tools, and secure deployment options into one platform to boost developer productivity while meeting strict IT and compliance needs (Mistral).
OpenAI has introduced new ChatGPT for Business features—including connectors to internal data sources and a “record mode” for meeting transcription and summarization—that help organizations bring their unique context into ChatGPT securely and efficiently for more actionable, permission-aware insights (OpenAI).
3. AI for Science and Medicine
A GPT-4-powered AI agent integrated with multimodal precision oncology tools significantly improved clinical decision-making accuracy in oncology, achieving 87.2% accuracy compared to 30.3% with GPT-4 alone (Nature Cancer).
The FDA has launched Elsa, a secure, agency-wide generative AI tool designed to help with summarizing and writing, enhance employee efficiency, and modernize operations (FDA).
The FDA has granted its first-ever clearance to Clairity’s AI-powered platform, Clairity Breast, which predicts a woman’s five-year breast cancer risk from a routine screening mammogram by analyzing subtle imaging features (FierceBiotech).
4. Other
Australian startup Cortical Labs has launched the world’s first commercially available biocomputer, the CL1, which uses 800,000 lab-grown human brain cells on a silicon chip to process information in real time for applications in neuroscience, drug discovery, and advanced computing (IEEE Spectrum).
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