How AIRA2 breaks AI research bottlenecks
While we've seen remarkable progress in AI for coding and mathematics, creating agents that can navigate the messy, open-ended nature of real research (where things break for no obvious reason) has proven far more challenging.
5 lessons we can learn from Sora: Hype vs reality
After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation.
Fighting financial crime with hybrid AI
Here’s how consulting leader Valentin Marenich and his team built a hybrid AI system that combines machine learning, generative AI, and human oversight to deliver real-world results in a highly regulated environment.
AI swarms are coming: Here’s why it matters
If the last wave of AI felt like hiring a very smart intern, this one feels more like managing an entire organization that never sleeps (and occasionally argues with itself).
Top 20 tech leaders in New York
Artificial intelligence is transforming industries at breakneck speed, and New York is at the heart of this revolution.
How AI in life sciences is reshaping healthcare
How can life sciences organizations overcome rising costs, regulatory complexity, and data silos to bring therapies to market faster, without compromising patient safety, and could AI be the key to doing so responsibly?
NVIDIA GTC 2026: The AI stack gets real
At NVIDIA’s GTC 2026, CEO Jensen Huang laid out a sweeping vision for AI’s next era. From chips and agent frameworks to robotics and real-time graphics, Huang’s keynote made one thing clear: The future of AI will be built on infrastructure, and NVIDIA intends to own it.
When AI judges AI: The hidden dangers of reasoning models in alignment
The race to build more capable AI systems has created an unexpected problem:
As we push toward more sophisticated models, we need equally sophisticated ways to evaluate and align them.
Meta buys Moltbook: The social network where AI agents talk to each other
Meta’s acquisition of Moltbook highlights a growing focus on agent-to-agent systems and the infrastructure required to support them. It’s a small deal that signals bigger shifts in how AI ecosystems may evolve.
The Google tool helping small AI models outperform the giants
What if the secret to better AI isn’t bigger models, but better tools?
Researchers at Google DeepMind have shown that smaller language models can outperform larger ones when they’re given the ability to write their own code.