Share your thoughts with us - A government report packed with fake citations made headlines, but the real story sits beneath the scandal: most AI “hallucinations” start with us. We walk through the hidden mechanics of failure—biased prompts, messy context, and vague questions—and show how simple workflow changes turn wobbly models into reliable partners. Rather than blame the tech, we explain how to frame analysis without forcing conclusions, how to version and prioritize knowledge so r...
All content for AI in 60 Seconds | The 10-min Podcast is the property of AI4SP 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.
Share your thoughts with us - A government report packed with fake citations made headlines, but the real story sits beneath the scandal: most AI “hallucinations” start with us. We walk through the hidden mechanics of failure—biased prompts, messy context, and vague questions—and show how simple workflow changes turn wobbly models into reliable partners. Rather than blame the tech, we explain how to frame analysis without forcing conclusions, how to version and prioritize knowledge so r...
Why only 2% of AI users save 100s of hours (and you are not)?
AI in 60 Seconds | The 10-min Podcast
12 minutes
2 weeks ago
Why only 2% of AI users save 100s of hours (and you are not)?
Share your thoughts with us You use ChatGPT for emails and summaries, but the results are average, and it still hallucinates. So how are others saving thousands of hours and running entire operations with AI agents? The secret isn't in using AI—it's in building with it. Right now, 98% of professionals are stuck as "AI users." In this episode, Luis Salazar reveals the simple path to join the 2% who are "AI makers." This leap is no longer a "nice-to-have" skill; it's rapidly becoming the new st...
AI in 60 Seconds | The 10-min Podcast
Share your thoughts with us - A government report packed with fake citations made headlines, but the real story sits beneath the scandal: most AI “hallucinations” start with us. We walk through the hidden mechanics of failure—biased prompts, messy context, and vague questions—and show how simple workflow changes turn wobbly models into reliable partners. Rather than blame the tech, we explain how to frame analysis without forcing conclusions, how to version and prioritize knowledge so r...