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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet bo

A new leak may have just spoiled the Pixel Watch 5 and its finishes ahead of Google's launch event next month. Leaked press renders provided to The Tide Chart by OnLeaks appear to show the upcoming watch with four case finishes: black (Dark Anthracite), polished silver (Natural Silver), yellow gold (Warm Gold), and a duskier […]

Spotify is finally letting users control the app with their voice to create playlists or learn about songs.

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from thoughts using electroencephalography (EEG) or magnetoencephalography (MEG) signals from the brain. In evaluations, the system achieved a word accuracy rate 61% on average, compared to 8% for other non-invasive methods. By Anthony Alford