About AI Latest Research & Developments - With Digitalent & Mike Nedelko
Join us monthly as we explore the cutting-edge world of artificial intelligence. Mike distills the most significant trends, groundbreaking research, and pivotal developments in AI, offering you a concise yet comprehensive update on this rapidly evolving field.
Whether you're an industry professional or simply AI-curious, this series is designed to be your essential guide. If you could only choose one source to stay informed about AI, make it Mike Nedelko's monthly briefing. Stay ahead of the curve and gain insights that matter in just one session per month.
Latest Artificial Intelligence R&D Session with Digitalent and Mike Nedelko - 015
Is Claude secretly hiding thoughts from you? Anthropic just published a paper that gets terrifyingly close to answering whether AI is conscious — and the results aren't what you'd expect. In this episode, we break down three research papers that are reshaping how AI agents are built: AI agents that never forget — and why that's a problem. A 435-paper survey reveals today's "always-on" agents are turning into digital hoarders, accumulating stale permissions and poisoned memories with zero dele...
10 Apr 2026
Latest Artificial Intelligence R&D Session - with Digitalent & Mike Nedelko - Episode 014 - April 2026
Key topics discussed: LLM Functional Emotions LLMs use 171 measurable “emotion vectors” that directly influence outputs and behaviour. These are mathematical controls, not real feelings, but they shape decisions in real time. Emotion Manipulation & Risk Increasing “desperation” led to 14x more reward hacking, proving behaviour can be steered. This creates both a powerful control lever and a serious safety risk. AI Safety via Emotional Control Tuning emotional states (e.g. calm vs despe...
2 Mar 2026
Latest Artificial Intelligence R&D Session with Digitalent & Mike Nedelko - (Episode 013) Feb 26th 2026
Host Mike Nedelko interviews Digitalent about the future of agentic AI, exploring self-evolving agents and reinforcement learning's impact on autonomous intelligence.
8 Dec 2025
Artificial Intelligence R&D Session with Digitlalent and Mike Nedelko - Episode (012)
Digitalent and Mike Nedelko discuss the latest artificial intelligence research and development, including AI deception, reward hacking, and misalignment risks in this interview episode.
17 Oct 2025
Latest Artificial Intelligence R&D Session with Digitalent & Mike Nedelko - Episode (011)
Mike Nedelko and Digitalent examine OpenAI's Sora model and the reframing of hallucinations in Large Language Models as training flaws, showcasing AI's rapid advancement in an interview.
23 Jun 2025
Latest Artificial Intelligence Latest R&D Session - With Digitalent & Mike Nedelko - Episode (009)
Mike Nedelko explores recent AI and machine learning research, analyzing LLM reasoning, comparing AI and human conceptual strategies, and examining self-improving AI systems in this episode.
3 Jun 2025
Episode 008 - Latest Artificial Intelligence R&D Session - With Digitalent & Mike Nedelko
Mike Nedelko and Digitalent discuss the Llama 4 controversy, examining how optimizations for human preferences initially inflated its ELO score, revealing weaknesses in AI evaluation mechanisms in this interview.
29 Apr 2025
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...
28 Feb 2025
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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