AI Latest Research & Developments - With Digitalent & Mike Nedelko
Dillan Leslie-Rowe
5 episodes
2 weeks ago
Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
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Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
Latest Artificial Intelligence R&D Session - With Digitalent & Mike Nedelko - Episode (007)
AI Latest Research & Developments - With Digitalent & Mike Nedelko
1 hour 4 minutes
6 months ago
Latest Artificial Intelligence R&D Session - With Digitalent & Mike Nedelko - Episode (007)
Some of the main topics discussed. Google Gemini 2.5 Release Gemini 2.5 is now leading AI benchmarks with exceptional reasoning capabilities baked into its base training. Features include a 1M token context window, multimodality (handling text, images, video together), and independence from Nvidia chips, giving Google a strategic advantage. Alibaba’s Omnimodal Model ("Gwen") Alibaba released an open-source model that can hear, talk, and write simultaneously with low latency. It uses a "thin...
AI Latest Research & Developments - With Digitalent & Mike Nedelko
Sora Model and AI Video OpenAI’s Sora model demonstrates how AI video has become nearly indistinguishable from real footage, reinforcing that AI progress continues to accelerate. Hallucinations in LLMs Mike Nedelko discussed an OpenAI paper reframing hallucinations as the result of training flaws and evaluation incentives, not mysterious behaviour. LLMs train in two phases: unsupervised pre-training (predicting the next word) and post-training (fine-tuning through human feedback and reinforc...
