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What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »

Samsung AI researcher’s new, open reasoning model TRM outperforms models 10,000X larger — on specific problems

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. Alexia Jolicoeur-Martineau, Senior AI Researcher at Samsung’s Advanced​ Institute of Technology (SAIT) in Montreal, Canada,​ has introduced the Tiny Recursion Model (TRM) — a neural network so small it …

Samsung AI researcher’s new, open reasoning model TRM outperforms models 10,000X larger — on specific problems Read More »

Here’s what Jony Ive and Sam Altman revealed about their secretive AI hardware project at OpenAI’s Dev Day

In a packed theater at Fort Mason, after a whirlwind keynote of product announcements, OpenAI CEO Sam Altman sat down with Sir Jony Ive, the legendary designer behind Apple’s most iconic products. The conversation, held exclusively for the 1,500 developers in attendance and not part of the public livestream, offered the clearest glimpse yet into …

Here’s what Jony Ive and Sam Altman revealed about their secretive AI hardware project at OpenAI’s Dev Day Read More »