与「coordinate」相关的搜索结果

Last night Apple briefly removed Telegram from the AppStore because a user had planted illegal porn in a public chat. Telegram was restored within hours. But I want to explain what happened — to warn other app developers and help protect online communities from similar attacks. Because Telegram quickly removes illegal content from public groups using all kinds of moderation tools, the attacker had to resort to a technical trick. He inserted AI-modified illegal content by editing an old message in an active group chat. As a result the content was effectively hidden from the group’s members, preventing them from seeing/reporting it. The attacker was a takedown extortionist: someone who demands ransom from group owners in exchange for not targeting their communities. These extortionists use automated accounts to plant illegal content in public groups and then report it directly to Apple, attempting to trigger the removal of legitimate communities whose owners refused to pay them. From a practical standpoint, illegal pornographic content in Telegram’s public groups is not a systemic problem. Our moderation is effective. The fact that attackers must resort to backdated, effectively invisible content and other technical tricks proves this. ⚠️ However, there are two important lessons here for app developers and online communities: — Extortionists have found a way to manipulate Apple into overreacting. Apple removed Telegram from the App Store before contacting us. This creates a potential systemic risk for every mobile app that hosts user-generated content. If an app used by more than a billion people can be removed from the App Store without prior warning, any app can be. — The tactics used by takedown extortionists are evolving, putting communities across social platforms at risk. Telegram has extensive experience identifying the tricks used by coordinated reporting gangs and protecting legitimate communities (even when doing so risks our own app being temporarily removed from the App Store). Other platforms may not be equally prepared. Stay vigilant! ☝️

ICYMI: our July AI recap ⬇️ 🌦️ Advanced weather forecasting with @NOAA and Google Cloud, using high-performance H4D virtual machines to run its atmospheric models, providing meteorologists with the AI capabilities needed to deliver life-saving early warnings. 💻 Introduced 3 new Gemini models — Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — to deliver the efficiency, latency, and reliability to build AI agents at scale. 🇺🇸 Launched the Alliance for America’s Skilled Trades With BlackRock, Carhartt, and Ford to build a stronger pipeline for the skilled trades, scale evidence-based training approaches, and expand opportunities nationwide. ☁️ Rolled out AlphaEvolve, our Gemini-powered AI code-optimization agent, to help Cloud customers solve their hardest problems by automatically searching for better solutions and returning human-readable, optimized code. 🎵 Delivered significant advancements in musicality, lyrics, and vocal quality in Google Flow Music with Lyria 3.5, our newest music generation model. 📡 Launched three new FireSat satellites, expanding a global initiative led by the Earth Fire Alliance (EFA) with @GoogleResearch to help detect wildfires before they spread. 🧪 Established over 15 global bioresilience partnerships across governments, research groups, and biosecurity organizations to prevent model misuse, detect outbreaks rapidly, and deliver swift, coordinated responses in partnership with @IsomorphicLabs.

We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.

"There's nothing organic about it." Secretary of State Marco Rubio says anti-ICE unrest, pro-Hamas protests and other activist movements are part of a coordinated network that includes Cuba. Citing a new State Department report, he says Cuba's goal is to "weaponize" these networks against the U.S. and work to "pressure American policymakers" and allies around the world.

🛰️ Our satellites have locked onto one set of coordinates: 08°08' What do you think it stands for? Reply with your best guess to win a share of 2,888 $USDT. How to join: 1️⃣ Follow @MEXC 2️⃣ Quote Repost with your guess + #MEXC# and your UID We'll drop one new clue every day until the destination is revealed.

we’ve just launched the official website for @OneKey_Anzen. anzen lab is onekey’s in-house security team. we secure our hardware, firmware, and apps before they ship, coordinate responsible disclosure with external researchers, and open source the tools and research behind our work. found a real vulnerability? report it to us. if it’s valid, we’ll pay a bounty and give you full credit.

chatgpt work is remarkable, and "work" undersells it. from my phone i sent: "use all my chat history to figure out ideas for a long weekend trip with 8 friends, plan the best three options, make a full-stack site where the 9 of us can coordinate on what we would want to do in each place and decide where to go, and then after we get to group agreement make reservations. draft an email in my gmail i can send out to my friends when the site is ready." it...just worked.

The next trillion-dollar industry won't just be AI. It will be AI Humanoids + Web3 + DigitalIdentity. Explore .humanoids: Here's why: 1/ AI has transformed software. The next transformation is physical. Humanoid robots are moving into manufacturing, warehouses, healthcare, logistics, retail, and eventually everyday life. Some long-term industry forecasts envisionthe humanoid robotics economy reaching themulti-trillion-dollar range over the coming decades. 2/ Intelligence alone isn't enough. Autonomous humanoids will need secure digital identities to interact with people, businesses, and other machines. Identity becomes infrastructure. 3/ They'll also need to:
• Verify who they are
• Own digital assets
• Build reputation
• Authenticate services
• Access decentralized networks
• Coordinate with other AI agents 4/ That's where Web3 can add value. Decentralized identity, ownership, programmable payments, and verifiable credentials can enable machine-to-machine interactions without depending on a single centralized authority. 5/ As this ecosystem grows, human-readabledigital identities become increasingly important. Owning a .humanoids digital identity today could be similar to securing premium internetreal estate before mass adoption—givingbuilders, brands, creators, and communities anearly presence in the emerging humanoid economy. 6/ AI gives humanoids intelligence. Web3 enables ownership and verifiable identity. Together, they could help support autonomousmachine economies. 7/ The future won't just be digital. It may walk beside us. Work alongside us. And interact with us every day. We're still early. Discover the future of .humanoids:
 What role do you think decentralized identity will play in the age of autonomous robots? 👇 Join the discussion. #Humanoids# #AI# #Web3# #Robotics##DigitalIdentity# #ArtificialIntelligence##MachineEconomy# #FutureOfWork##Automation# #Blockchain# #DePIN#

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#

ChatGPT Voice is now in the desktop app. Control your computer and direct multiple agents running in ChatGPT Work or Codex, using just your voice. It's powered by GPT-Live, so it can speak, listen, and coordinate work in the app at the same time. Rolling out globally today on macOS and Windows to Plus, Pro, Business, Edu, and Enterprise plans.