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From Degradation to Nesting: Thousands of Relict Gulls Return to #Shaanxi#'s Hongjiannao for Breeding Season #crestedibis# #birds# #DesertificationandDroughtDay2026# @UNDPplanet @FAO

Introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. AI is only as smart as the context we give it. As we build more advanced, agentic AI systems, they need accurate metadata and context to be useful. But in most organizations, that context is locked inside fragmented data catalogs, isolated wikis, scattered code comments, or the minds of senior engineers. Every time a new AI agent is built, teams are forced to solve the exact same context-assembly problem from scratch. To solve this, we've announced OKF, a vendor-neutral, open specification that formalizes the "LLM-wiki pattern" into a portable, interoperable format. It provides a standardized way to represent the enterprise knowledge that modern AI systems rely on. — Just markdown: readable in any editor, renderable on GitHub, indexable by any search tool — Just files: shippable as a tarball, hostable in any git repo, mountable on any filesystem — Just YAML frontmatter: for the small set of structured fields that need to be queryable: type, title, description, resource, tags, and timestamp We’ve also shipped reference implementations to help you hit the ground running, including an enrichment agent for BigQuery, a static HTML visualizer, and live sample bundles on @github → ➕ Knowledge Catalog can now natively ingest OKF! Stop reinventing data models and building bespoke integrations for every new AI tool. Here's more about how OKF works →

GLM-5.2 (Max) by @Zai_org ranks #10# on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1# open model by a wide margin! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Compared to 5.1, GLM-5.2 (Max) climbs from #13# to #10#. Its clearest gains are confirmed task success, and user praise vs. complaint. Bash capabilities and tool hallucination remain stable. There is a tradeoff in steerability compared to the previous model (-6.0% vs. +1.2%). GLM-5.2 remains the same price as GLM-5.1, $1.4/$4.4 per input/output MTokens. 1M context window. Huge congrats @Zai_org for the incredible release! See thread for details on how GLM-5.2 (Max) performs across 5 different signals.

Starlink’s reliable high-speed internet is onboard 30+ Goldenport vessels, enabling the maritime operator to run data intensive applications, modernize its operations, and provide crew with seamless connectivity while out at sea →

Here’s almost everything we know so far about the Tesla Cybercab: • 48 kWh battery pack (4680 cells) • 165 Wh/mi efficiency • Front-Wheel Drive • AC permanent magnet front motor • 163 kW / 219 hp • 3,118 lbs curb weight • Unboxed Manufacturing Process (target cycle time under 10s) • No steering wheel or pedals • Two-seater with powered butterfly doors • Expected ~300 miles of real-world range • Wireless Charging Capabilities (backup charge port in the rear bumper) • Automatic camera washers on all exterior cameras • Color-injected body panels (no paint shop required) • Staggered wheels (215/60R18 front and 225/60R21 rear) • 21" Main Display w/USB-C ports • Seats are wheelchair-height for easy access • LED Ambient Interior Lighting • Braille on key door handles, and emergency stop buttons for visually impaired/blind people Elon has confirmed on multiple occasions that you will indeed be able to buy one for personal use.

🔊 @G_Slattery tells the Reuters World News podcast, ‘if what Trump seals isn't obviously better than what Obama was able to get without a couple of wars, frankly, then it's going to be an obvious line of attack for Democrats’