{"generated_at": "2026-04-23T11:45:10.457695Z", "slug": "technology_now", "source_id": "src_technology_now", "name": "Technology Now", "episode_count": 2, "avg_signal": 56.2, "median_signal": 56.2, "top_signal": 66.0, "latest_episode_at": "2026-04-23T05:00:00Z", "earliest_episode_at": "2026-04-16T05:00:00Z", "category_mode": "tech", "cover_image_url": "https://img.transistorcdn.com/nYDFjEG-fThEtdAXrnu2os1rzNzLCZFefi7TtSm2z2I/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZjM4/NTQ1Zjg3YjZlMjAw/YmIxYzZiMTNiMzk2/YjdiOC5qcGc.jpg", "rank_score": 61.542, "episodes": [{"episode_id": "ep_technology_now_5f9e26196bee", "episode_title": "Are we going to run out of power?", "podcast_name": "Technology Now", "podcast_slug": "technology_now", "source_id": "src_technology_now", "category": "tech", "publish_date": "2026-04-23T05:00:00Z", "overall_score": 66.0, "score_breakdown": {"clarity": 75.0, "originality": 65.0, "hype_penalty": 2.0, "actionability": 60.0, "technical_depth": 62.0, "information_density": 58.0}, "podcast_cover_url": "https://img.transistorcdn.com/nYDFjEG-fThEtdAXrnu2os1rzNzLCZFefi7TtSm2z2I/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZjM4/NTQ1Zjg3YjZlMjAw/YmIxYzZiMTNiMzk2/YjdiOC5qcGc.jpg", "source_link": "https://share.transistor.fm/s/7fef6742", "audio_url": "https://media.transistor.fm/7fef6742/64f047a9.mp3", "listen_url": "https://share.transistor.fm/s/7fef6742", "verdict": "worth_your_time", "why_listen": "It reframes energy constraints not as a sustainability mandate but as a financial and strategic lever for efficiency, resilience, and innovation in tech infrastructure.", "summary": "Data centers consumed 415 terawatt-hours in 2024\u20141.5% of global electricity\u2014with AI using 15% of that share, and demand is projected to double by 2030. Energy constraints are no longer just environmental concerns but financial and operational risks, as grid capacity lags behind growth demands. The solution lies in energy efficiency, on-site generation, heat reuse, and energy sovereignty to reduce reliance on strained grids."}, {"episode_id": "ep_technology_now_c73935d6a9a9", "episode_title": "Sixty years of innovation: how would we use a quantum computer?", "podcast_name": "Technology Now", "podcast_slug": "technology_now", "source_id": "src_technology_now", "category": "tech", "publish_date": "2026-04-16T05:00:00Z", "overall_score": 46.4, "score_breakdown": {"clarity": 0.0, "originality": 75.0, "hype_penalty": 0.0, "actionability": 0.0, "technical_depth": 72.0, "information_density": 65.0}, "podcast_cover_url": "https://img.transistorcdn.com/nYDFjEG-fThEtdAXrnu2os1rzNzLCZFefi7TtSm2z2I/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZjM4/NTQ1Zjg3YjZlMjAw/YmIxYzZiMTNiMzk2/YjdiOC5qcGc.jpg", "source_link": "https://share.transistor.fm/s/1882b47e", "audio_url": "https://media.transistor.fm/1882b47e/89fcde9d.mp3", "listen_url": "https://share.transistor.fm/s/1882b47e", "verdict": "must_listen", "why_listen": "It clarifies the realistic timeline, technical constraints, and complementary role of quantum computing alongside AI and HPC, cutting through hype with grounded expert insight.", "summary": "Quantum computing remains 10 years away, but the meaning of that timeline has shifted\u2014from a lower bound two decades ago to an upper bound today, indicating real progress. Quantum computers will act as hardware accelerators for exponentially complex problems, particularly in quantum chemistry and materials science, where classical systems hit computational walls. Integration with AI and HPC is key, with AI aiding quantum systems in calibration and control, while quantum generates high-fidelity data for AI to process."}], "category_breakdown": [{"category": "tech", "count": 2}]}