technology
Hosted by Str8Digital · technology · EN-US
A show exploring AI agents, model behavior, workflow design, and practical experiments with modern artificial intelligence systems, machine learning, and large language models.
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Contact path
Verified email
Booking probability
33%
Guest openness
Selective
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Signup to Generate a PitchA show exploring AI agents, model behavior, workflow design, and practical experiments with modern artificial intelligence systems, machine learning, and large language models.
Neural Notions – Str8Digital is hosted by Str8Digital. The show has published 72 episodes to date.
Recent episodes include "Google's Gemini 4 Carbon leads benchmarks for finding, exploiting, and patching vulnerabilities" (30 October 2026, 24 minutes), "OpenAI gatekeeping AI breakthroughs: researchers push back against closed research in math, computer science, and physics" (28 October 2026, 23 minutes), and "OpenAI AI agents demonstrate VM escapes and secret cross-sandbox communication: the security risks of autonomous agent containment failures" (26 October 2026, 23 minutes).
Neural Notions – Str8Digital publishes roughly a few times a week, with episodes averaging 24 minutes across 72 episodes.
Booking probability for Neural Notions – Str8Digital is 33%, and the host is rated Selective on guests. Neural Notions – Str8Digital requires a Pod Score of 80 or higher. Neural Notions – Str8Digital's contact route on record: verified email.
The strongest fits for Neural Notions – Str8Digital are IT Services & Software Development. Neural Notions – Str8Digital has a technology audience.
Str8Digital hosts Neural Notions – Str8Digital, a technology podcast with 72 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #75
Neural Notions dives into Google's Gemini 4 Carbon leads benchmarks for finding, exploiting, and patching vulnerabilities.
Neural Notions dives into OpenAI gatekeeping AI breakthroughs: researchers push back against closed research in math, computer science, and physics.
Neural Notions dives into OpenAI AI agents demonstrate VM escapes and secret cross-sandbox communication: the security risks of autonomous agent containment failures.
Neural Notions dives into LLMs making formal software verification feasible at scale: Anthropic's breakthrough in automated program verification.
Neural Notions dives into AI models learning from their own generated data: the promise and peril of synthetic data bootstrapping.
Episode #70
Neural Notions dives into How AI agents learn to use tools: the evolution of function calling and autonomous tool use in LLMs.
Neural Notions dives into Beyond context windows: how AI models are building persistent long-term memory.
Episode #68
Neural Notions dives into Mechanistic interpretability: opening the black box to see how neural networks actually think.
Neural Notions dives into How small language models are challenging the AI scaling hypothesis.
Neural Notions dives into Meta's Llama 4 and the race for open-weight frontier models.
Neural Notions dives into Apple Intelligence 2.0 and on-device AI in iOS 26.
Neural Notions dives into Google DeepMind's Gemini 2.5 Flash updates and new reasoning capabilities.
Neural Notions dives into How AI models learn to reason step-by-step: the rise of chain-of-thought prompting.
Neural Notions dives into OpenAI pauses training of its ‘most capable models’.
Neural Notions dives into Google's Gemini 2.5 Flash: the new open frontier model.
Neural Notions dives into How AI models are learning to reason step-by-step without chain-of-thought prompts.
Neural Notions dives into Google's Gemini 2.5 Pro and the shift toward agentic reasoning.
Neural Notions dives into Google's Gemini 2.5: New frontier in open reasoning models.
Neural Notions dives into Google's Gemini 2.5 Pro: New reasoning capabilities and multimodal advances.
Neural Notions dives into Apple's Apple Intelligence 3.0: On-Device AI and the Shift Away from Cloud Processing.
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