Oxford GenAI Summit: 7 Insights You Can’t Ignore
I spent 17-18 Oct immersed in conversations at the Oxford Generative AI Summit, and here’s what stood out. If you'd rather watch than read, scroll to the bottom for a video.
🔍 1. Cautious Optimism
GenAI offers groundbreaking innovation—but it may not be the tech that will lead us to AGI. It’s a powerful approximator, not the holy grail.
💼 2. Business Models Need Re-Thinking
Trying to squeeze GenAI into old frameworks won’t cut it. Companies need AI-centric models focused on opportunity and growth—not just cost-cutting. Example? Google Cloud's workshops for C-suites to shift their thinking.
🎭 3. Deepfakes & Solutions
Deepfakes are a growing concern. The Coalition for Content Provenance and Authenticity (C2PA) initiative offers a way forward, but blockchain could be the real game-changer for tamper-proofing content.
🌍 4. AI’s Geopolitical Impact
China’s not repeating the mistakes of the ‘90s internet boom. They’re leading in AI for public services, positioning themselves as a model for developing countries—while the West risks falling behind.
📰 5. AI and Journalism
Reporters? Safe… for now. Their edge lies in trust and finding untold stories, but AI is disrupting how news is consumed—a shift without clear answers yet.
♻️ 6. Climate Impact of AI
Here’s a startling fact: Using ChatGPT to write one 100-word email uses about 500ml of water! Hardware is getting more and more efficient, but small language models that run on device might be a better fit to reduce ongoing environmental costs.
🎥 7. Authenticity May Be Overrated?
Kwebbelkop, a YouTuber, has an AI twin adding 100K subs/month. His secret? Viewers prioritise entertainment over so-called authenticity.