Loading…
Hosted by Unknown Host · 🇺🇸 US · EN · 367 episodes
Established thought leaders with verified media credentials.
In Machines we Trust is your daily source for the latest in artificial intelligence. Each episode rounds up the biggest AI news, new breakthroughs, and the developments shaping technology, so you always know what is happening in the world of AI.
Unknown Host hosts In Machines we Trust, a technology show with 367 episodes published.
In this episode, we dive into Anthropic's recent milestone of achieving a $65 billion valuation. We’ll also unpack what Cursor's new product, Origin, means for AI. Chapters 00:00 Introduction 02:00 Anthropic's Revenue Su
In this episode, we discuss the trust generated by Anthropic's revenue growth and NVIDIA's backing of AI infrastructure. Explore how confidence shapes our AI expectations. Chapters 00:00 Introduction 00:09 NVIDIA's AI Da
In this episode, we explore major financial movements in AI, including Anthropic's ambitious IPO plans and Nvidia's substantial investment in data centers. We also discuss innovative technologies like ShieldFont to prote
In this episode, we dissect OpenAI's recent $7 billion buyback. We also catch up on the latest advancements from Claude and their future implications. Chapters 00:00 OpenAI's $7 Billion Buyback 03:38 Advances in AI Mathe
In this episode, we discuss the capabilities of OpenAI's newly minted $300 smart speaker. We’ll also assess ByteDance’s 'Mythos' model in this context. Chapters 00:00 OpenAI's Smart Speaker 01:57 ByteDance's AI Model 05:
In this episode, we discuss the implications of Suno's new restrictions on AI music downloads amidst ongoing legal challenges and the rise of AI music spam. We also explore significant developments from companies like Mi
In this episode, we explore the latest significant cloud deals, including Anthropic's $10 billion contract with Volta, and the implications for AI chip demand. Additionally, we discuss the shift in focus at Tesla towards
In this episode, we explore how OpenAI’s retreat affects trust in AI technologies. We discuss the implications for developers and users alike. Chapters 00:00 Introduction 00:08 OpenAI's Influencer Retreat 00:54 Alibaba's
In this episode, we assess the trustworthiness of AI in bug detection tasks. We highlight studies that reveal user perceptions. Chapters 00:00 Microsoft Bug Hunting AI 02:01 Google's SynthID Watermark 04:59 Encore AI's V
In this episode, we discuss the importance of building trust in the NVIDIA and Super Safe Intelligence partnership. We explore how this deal may shape public perception. Chapters 00:00 Introduction 01:58 Super Safe Intel
In this episode, we explore the trust factor in Anthropic's new Opus 5. We also discuss the reliability of OpenAI's voice integration in their agents. Chapters 00:00 Introduction 00:04 Clawed Opus 5 Launch 00:13 OpenAI's
In this episode, we link Anthropic's robotics acquisition plans with wider AI accountability measures. We also assess Meta's watermarking technology within this context. Chapters 00:00 Introduction 00:08 Samsung's Roboti
In this episode, we discuss the implications of Deezer's report that 50% of uploads are from AI sources. What does this mean for the future of human musicianship? Chapters 00:00 Introduction 00:37 Deezer's AI Music Stats
In this episode, we highlight the emergence of Kimi K3 as a leader over Anthropic. We also analyze how Apple continues to eclipse Nvidia in the tech arena. In this episode, we break down Apple's lawsuit against OpenAI ov
In this episode, we discuss AWS’s massive $1 billion leap into the AI landscape. We also highlight the recently launched AI model from Thinking Machines. Chapters 00:00 Introduction to Inkling 01:01 OpenAI's GPT-RED 01:5
In this episode, we examine trust issues arising from the shutdown of OpenAI's Atlas. We also discuss how MuseSpark from Meta might restore confidence. Chapters 00:00 OpenAI Shuts Down Atlas 03:05 Meta Launches MuseSpark
In this episode, we discuss Microsoft's substantial $2.5 billion bet on AI technology. Explore the trust and potential behind such a significant investment. Chapters 00:00 Introduction 00:22 Microsoft's AI Investment 00:
In this episode, we discuss the implications of OpenAI's new model that facilitates two-way conversation. Join us as we ponder its impact on trust in AI. Chapters 00:00 Introduction to AI Chat Daily 00:44 OpenAI's GPT Li
In this episode, we analyze the game-changing mobile features from Claude. Explore how these AI innovations are enhancing the co-working experience. Chapters 00:00 Introduction to Claude Co-Work 00:10 DeepSeek's Inferenc
In this episode, we cover Mistral’s $3.5 billion raise and what it signals for Europe’s push to compete in frontier AI. We also look at Samsung’s 18x profit jump from AI memory demand and why chips remain the backbone of
Detected from recent episode content. Sponsor presence is a real signal of listener purchasing power and show monetisation.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
In Machines we Trust has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
In Machines we Trust is hosted by Unknown Host. The show is categorised under technology and has published 367 episodes.
In Machines we Trust has published 367 episodes.
In Machines we Trust regularly covers technology. It sits in the technology category.
In Machines we Trust is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
In Machines we Trust hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of In Machines we Trust average 14 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates In Machines we Trust's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched yesterday.