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💫 #超宇宙刑事ギャバンインフィニティ# 🔺🔻🔺🔻🔺🔻🔺🔻🔺🔻 第14話「宇宙の真理」 明日放送！ 🔺🔻🔺🔻🔺🔻🔺🔻🔺🔻 #超宇宙刑事ギャバン# #ギャバン# #ProjectRED# #長田光平# #松永有紘# #有坂心花# #赤羽流河# #入山杏奈# #安井謙太郎# #藤田玲#

DeepSeek-V4-Flash-DSpark has now completed the r0b0bench core-subset protocol on 2× NVIDIA GB10. ⚡ Quality • GSM8K: 95.0% • HumanEval pass@1: 90.9% • ARC-Easy: 96.0% • IFEval lightweight: 79.5% • BFCL multi-turn: 75.5% Performance • Dedicated C1 decode: 79.2 tok/s • Aggregate output throughput: C1 86.9 · C2 145.9 · C4 239.3 · C6 337.8 tok/s • TTFT mean: 221.9 ms • ITL mean: 68.9 ms Long context Needle retrieval passed at 25%, 50%, and 90% depth across a full 1,048,576-token context. ✅ 0 infrastructure errors ✅ Runtime gate passed ✅ 5/5 canaries passed ✅ Package-backed, reproducible result freeze ✅ Valid for publication These are measured results—not projected capabilities or marketing claims.

LeBron James’ first year with the 76ers is projected to generate $250–$430 million in regional economic activity for Philadelphia, per @TheBoydCompany. The LeBron effect. 🤯🤯🤯

GeoLibre v2.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS# #Geospatial# #OpenSource# #RemoteSensing# #MapLibre# #GeoLibre#

🧓 China's pension system was already projected to run out of money by 2035. Now add 320 million gig workers who aren't contributing to it. Hear why that's a ticking time bomb on Reuters Econ World podcast

Hut 8 has locked in a massive $9.8B, 15-year lease expansion for its Texas AI data center. THE NUMBERS: The milestone deal effectively doubles IT capacity at the site to a robust 704MW, which is projected to yield an average annual net operating income of $655M THE GAIN: Shares jumped 12.07% on the news, supercharged by an impressive 59.67% projected gross margin profile. THE RATING: While the baseline expansion looks immense, immediate near-term profitability headwinds keep the Seeking Alpha Quant score locked at a neutral HOLD. Can $HUT successfully leverage this massive capacity expansion to become a premier infrastructure player in the AI landscape?

UnitedHealth Group $UNH reported solid adjusted earnings of $6.38 per share on a massive $112B in revenue, nudging its full-year guidance upward. THE FORECAST: Backed by excellent Medicare performance, management lifted its full-year adjusted EPS guidance to a strong $19.50–$20.00 range. THE HEADWINDS: Under the hood, commercial medical costs spiked over 11%. This stubborn trend is stretching the company's projected margin recovery timeline out past 2027. THE REWARD: Shareholders are seeing a payout bump, with the annualized dividend hitting $9.28 alongside a planned $5B share buyback program. THE RATING: Fading commercial cost efficiency balanced against high consumer demand keeps the Seeking Alpha Quant score locked at a neutral HOLD.

With full autonomy and maximized ride-hailing, Cybercab is projected to nearly halve emissions per mile compared to Model 3 + Model Y Also, a personal car sits parked ~95% of the time. Cybercab keeps driving, doing the work of several cars. This means fewer cars needed, more people moved, less emissions overall