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business
Hosted by Terresa P · business · EN-US · 59 episodes
Welcome to Content Science, where creativity meets technology! Hosted by an AI Engineer with the creative flair of a Technical Artist and the strategic mindset of a Social Media Strategist, this podcast explores the cutting edge of content creation. Whether you're looking to fine-tune your social media strategy or discover how AI can help you generate more leads through innovative content, we’ve got you covered. Join us as we break down complex AI capabilities, share actionable insights, and help you stay ahead in the ever-evolving world of digital marketing.
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Signup to Generate a PitchAI in Action is a business podcast hosted by Terresa P, with 59 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Terresa P hosts AI in Action, a business show with 59 episodes published.
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Episode #14
The open-model price war has reached the agent layer. Z.ai’s GLM-5.3-Flash is the clearest signal yet that the competition is no longer just about building the biggest model. It is about making useful intelligence cheap enough to run continuously inside real workflows. GLM-5.3-Flash is an open-weight, MIT-licensed mixture-of-experts model with 320 billion parameters and about 18 billion active at
Episode #13
Today’s story is simple: the AI race is moving beneath the model. The next advantage may come less from releasing a smarter model and more from deciding where it runs, how fast it responds, and what every request costs. OpenAI’s Jalapeño, local agents from Perplexity, and Apple’s new Macs all point in the same direction: inference infrastructure is becoming the product.
Episode #12
The AI advantage is moving beyond the model. As prices fall and smaller, open, and specialized systems become good enough, the real fight is shifting to the software around them: context, tools, permissions, evaluation, and reliable workflows. One note before we get into it: today’s reported timelines and performance claims involving NVIDIA, OpenAI, Anthropic, and SpaceXAI have not been independen
Episode #11
The AI moat is shrinking, and the economics of agents are changing. That is today’s story. Frontier-level capability is spreading across cheaper and more interchangeable models, so the builder advantage is moving away from model selection and toward reliable, measurable execution. DeepSeek’s experimental V4-Flash-Vision-Exp reportedly approaches Opus 4.8 on multimodal agent benchmarks while keepin
Episode #10
This week’s story is simple, but it changes how we build: the agent advantage is moving beyond the model. The important question is no longer just which system has the smartest weights. It is whether the model, its tools, context, memory, permissions, evaluations, and human handoffs work as one dependable system. Open models are closing the gap, costs are rising, and trust is getting harder to ear
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