Remember when "open source AI" felt like an oxymoron? When the best models were locked behind API paywalls and the code was more proprietary than Coca-Cola's formula? Well, plot twist – 2025 has become the year open source AI actually started winning some battles.
Nofil Khan has been tracking this David vs. Goliath story from the trenches, watching Fortune 500 companies scramble to understand whether they should bet on closed or open models. Here's what the data shows: the gap is closing faster than anyone predicted. "The trajectory of open source models and research" isn't just catching up – in some domains, it's leapfrogging entirely.
But here's the question that keeps every CTO awake at night: should we actually be enthusiastic about open source AI, or are we setting ourselves up for disappointment? Khan will break down the real players (spoiler: it's not who you think), the tools that actually work versus the ones that just generate hype, and where the technology is genuinely headed. No sugar-coating the limitations, no dismissing the genuine advantages.
The fascinating part? The open source community isn't just copying proprietary models anymore – they're pioneering entirely different approaches. When you can inspect the weights, modify the architecture, and run experiments without burning through API credits, innovation happens in ways that closed systems simply can't match.
Join us at FOSSASIA for the unvarnished truth about open source AI in 2025 – because whether you're building the next breakthrough or just trying to separate signal from noise, you need to know where the real power is shifting.
