Photo by Shubham Dhage on Unsplash
How AI and Blockchain Trace Every Bean from Minas Gerais
By Unknown | 6 min read
The article outlines how AI and blockchain combine to enable end-to-end traceability for agricultural supply chains. The system uses tamper-evident ledger records and sensor data to track provenance from farm to consumer. AI analyzes logistics data to detect anomalies and optimize freshness, while blockchain provides verifiable provenance. Challenges include data quality, governance, and interoperability, as well as scalability concerns in global supply chains. Overall, the piece highlights a practical blueprint for more transparent, resilient food networks.
Photo by Shridhar Gupta on Unsplash
Humans Hired to Fix AI Slop
By NBC News | 5 min read
AI systems still struggle with edge cases and biased data, requiring ongoing human supervision to catch mistakes and adjust outputs. The article describes teams that review, correct, and annotate data to improve model reliability in real-world settings. It discusses the costs and bottlenecks of maintenance-heavy AI deployments and how organizations balance speed with safety. Governance, transparency, and explainability are highlighted as critical to sustaining trust in AI systems. The takeaway is that reliable AI hinges on effective human-in-the-loop processes as well as algorithms.
Photo by Adi Goldstein on Unsplash
AI Thoughts
By Martin Fowler | 6 min read
Martin Fowler reflects on how AI intersects with software design, architecture, and organizational practice. He emphasizes that AI is not a silver bullet and requires thoughtful integration into systems and teams. The piece argues for robust data contracts, clean interfaces, and clear ownership when embedding AI into software. It notes the difference between predictive outputs and autonomous decision-making, urging incremental, principled adoption. The takeaway is a call for disciplined engineering as AI matures.
🌙 NASA - Best Photo from Last Week
Cities by the Bay
Image Credit: NASA/Nichole Ayers
NASA's orbital imagery shows how urban growth interacts with climate, energy use, and infrastructure. The article discusses how satellite data helps monitor urban heat islands, emissions, and resilience planning. It highlights visual insights into city morphology, expansion, and disease vulnerability patterns. Space-derived observations provide a unique lens on how cities evolve and respond to a changing planet. The piece illustrates NASA's role in turning space-based data into actionable urban science.
Image Credit: NASA/Nichole Ayers
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