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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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Technology
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All content for AI Latest Research & Developments - With Digitalent & Mike Nedelko is the property of Dillan Leslie-Rowe and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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...
Show more...
Technology
Episodes (5/5)
AI Latest Research & Developments - With Digitalent & Mike Nedelko
Latest Artificial Intelligence R&D Session with Digitalent & Mike Nedelko - Episode (011)
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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2 weeks ago
58 minutes

AI Latest Research & Developments - With Digitalent & Mike Nedelko
Latest Artificial Intelligence Latest R&D Session - With Digitalent & Mike Nedelko - Episode (009)
In this conversation, Mike discusses the latest developments in AI and machine learning, focusing on recent research papers that explore the reasoning capabilities of large language models (LLMs) and the implications of self-improving AI systems. The discussion includes a critical analysis of Apple's paper on LLM reasoning, comparisons between human and AI conceptual strategies, and insights into the Darwin-Girdle machine, a self-referential AI system that can modify its own code. Mike...
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4 months ago
1 hour 5 minutes

AI Latest Research & Developments - With Digitalent & Mike Nedelko
Latest Artificial Intelligence R&D Session - With Digitalent & Mike Nedelko - Episode 008
Session Topics: The Llama 4 Controversy and Evaluation Mechanism Failure Llama 4’s initial high ELO score on LM Arena was driven by optimizations for human preferences—such as the use of emojis and overly positive tone. When these were removed, performance dropped significantly. This exposed weaknesses in existing evaluation mechanisms and raised concerns about benchmark reliability. Two Levels of AI Evaluation There are two main types of AI evaluation: model-level benchmarking for foundati...
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5 months ago
1 hour

AI Latest Research & Developments - With Digitalent & Mike Nedelko
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...
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6 months ago
1 hour 4 minutes

AI Latest Research & Developments - With Digitalent & Mike Nedelko
Latest Artificial Intelligence R&D Session - with Digitalent & Mike Nedelko - Episode (006)
The sessions topics include: Reasoning Models: Mike highlights the rise of reasoning models dominating leaderboards, enabled by "inference time compute scaling." This allows models to allocate more computational power dynamically, leading to better accuracy and efficiency. These models use "chain of thought prompting," enhancing reasoning by generating intermediate steps, inspired by Daniel Kahneman's "System 2 thinking." He also discussed "Humanity's Last Exam," a challenging new benchmark d...
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8 months ago
1 hour 3 minutes

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...