标签:#News
找到 12478 篇相关文章
Basil and fennel compound may build up dangerous DNA damage in vulnerable people
CSS-Native Parallax Effect
Michael Burry says neither SpaceX nor Anthropic is worth $1T
Show HN: Synapse – 2.9MB Mac app with screenshot, clipboard, Keep Awake and more
Adafruit Receives Demand Letter from Fenwick Legal Counsel on Behalf of Flux.ai
America's Corporate Protector
The Manhattan Institute Helped Kill DEI. Now It’s Coming for Protests
The right-wing think tank is actively pushing “civil terrorism”—increasing penalties for minor crimes committed while people engage in constitutionally protected free speech.
Stop Ruining It
Mathematician solves origami donut efficiency challenge with fewest folds
What ClickHouse's Latest Release 26.5 Says About the Future of AI Infrastructure
AI applications are generating more data than ever before. From model telemetry and user interactions to observability events and real-time analytics, modern systems need infrastructure that can ingest, process, and query massive datasets with low latency. That's exactly the problem ClickHouse is targeting with its latest release. The update introduces improvements across query performance, memory management, Kafka integration, lakehouse support, and developer tooling. While many of these changes appear incremental on the surface, together they highlight a much larger shift happening across the industry. One of the most notable additions is improved memory management for large joins. ClickHouse can now automatically spill hash joins to disk when memory usage exceeds configured thresholds. Instead of failing due to memory pressure, queries can continue running using more efficient execution strategies. For teams working with large feature tables, event enrichment, AI telemetry, or observability data, this can significantly improve reliability. The release also expands ClickHouse's Kafka capabilities with Schema Registry integration, AvroConfluent write support, metadata mapping, and zone-aware communication. These improvements make it easier to integrate ClickHouse into real-time event pipelines while reducing latency and unnecessary cross-zone traffic in cloud environments. Another major focus is support for modern lakehouse architectures. Improvements for Apache Iceberg and Apache Paimon strengthen ClickHouse's ability to query data stored in open table formats while maintaining high analytical performance. As more organizations separate storage and compute, ClickHouse is increasingly positioning itself as a high-speed query layer on top of cloud-native data lakes. Performance optimization remains a major theme throughout the release. Improvements include faster JOIN execution, better ORDER BY LIMIT performance, enhanced JSON processing, smarter index pruning, redu
Why Janet?
You Don't Love Systemd Timers Enough
Show HN: Eyeball
Strava just pulled a Reddit on its developer community
What Is Not in Plan Nine
Version 2.0 of AI laser mosquito defense system is here
Amazon Prime members in the US can watch Spider-Man: Brand New Day two days early
Amazon Prime members will be able to buy July 29 tickets for Spider-Man: Brand New Day.
California’s university system went all in on AI, now it's tearing itself apart
https://archive.ph/TNLUr