Saurabh Patil @Ellight_

This will move you to tears. Powerful. Emotional. Beautiful. Spirited. Patriotic. Kargil’s Team Stringmo Sisters sing in support of Indian Army on the eve of 27th Kargil Vijay Diwas. 🇮🇳

NEET Aspirant Harsh Dubey was so angry and outraged with the system that he stood up from his chair inside NDTV Studio to speak up and raise questions. Leave everything and watch this video from @ShivAroor’s show India Matters!

Was curious if I could use AI (@GeospyAI) to find coordinates of this house using just the 2024 pic of the *reflection in the keypad* (seen below). Well...it worked. YIKES. @heinenbros does not make this AI tool available to the public for this reason.

Rachel Tobac @RachelTobac

2 years ago

Here’s a fun social engineering / physical security quiz! Based on this picture of a door lock, what do you think the passcode is for entry? Please include the order the characters are entered.

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Today we’re introducing the new Graylark. A new identity for the company behind Raven (formerly GeoSpy).

To celebrate the launch of Raven, we’re launching our first OSINT challenge. Prize: A custom solid white gold Raven ring. Your mission: Identify who made this 14k gold Raven ring Identify where this video was taken You have 3 days. A flight code for May 19th

AI can find someone’s exact location from a reflection in a pair of sunglasses using just pixels. This is Raven, formerly GeoSpy.

GeoSpy has evolved into something new. Introducing Raven, our frontline visual intelligence system. From a single image, Raven turns pixels into actionable intelligence in seconds. No metadata required.

I'm Team Xabi Alonso. I'm ready to start a campaign for him. Who is with me?

We made it to the top of r/OpenAI

Oliver Prompts @oliviscusAI

6 months ago

this is scary.. GeoSpy AI can track your exact location using social media photos in 2 secs and show it in 3D. upload photo -> get coordinates.

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🚨: Cancer cells can now turn back to normal cells, thanks to South Korean scientists

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Proud to welcome Scott Bonner as our Head of Customer Success for Law Enforcement. Nearly 30 years on the front lines — Police Captain, Cold Case & Homicide Investigator, FBI Violent Crimes Task Force, SWAT Commander. Glad to have you on the team, Scott.

Using GeoSpy AI to find TikTok locations with nothing but a few bricks No metadata. Just pixels → coordinates.

Many people ask if GeoSpy is an LLM. The answer is no—it is an LGM. geospy.ai/blog/lgm-vs-llm

"Before Transformers, RNNs were the thing. These were a big breakthrough. Suddenly, everyone started to work on improving RNNs. But the results were always these slight modifications on the same architecture, like putting the gate in a different spot, with improvements to 1.26, 1.25 bits per character on language modeling." "After the Transformer, when we applied very deep decoder-only Transformers to the same task, we immediately got 1.1 bits per character. So all that research on RNNs suddenly seemed a waste of time". "We're currently in the same situation where a lot of papers are taking the same architecture (Transformer) and making these endless tweaks, in a local minimum, and we might be wasting time in exactly the same way." - Llion Jones, co-author of the Transformer on @MLStreetTalk

1/15 🧵 We had 2 million users and could've made millions in easy revenue. Instead, we shut down our entire free platform to focus on law enforcement. Here's why we walked away from all that money 👇

🚨 Today we’re proud to announce the launch of GeoSpy Battle 🛰️ A GeoGuessr-style game where you go head-to-head against GeoSpy’s geoestimation model, World Search 1.5. Can you outguess the machine using just a single image? Test your skills. Outsmart the AI. Claim your bragging rights. 🕹️ Play now: play.geospy.ai And stay tuned — our GeoSpy Precision Targeting model is coming soon, bringing meter-level accuracy to the map. #GeoSpyBattle #WorldSearch15 #GeoSpy #GeoGuessr #OSINT #AIvsHuman #Geolocation #ComingSoon

No good story happens by things going always right.

LLMs haven’t mastered geolocation—and probably never will. I just read Bellingcat’s new benchmark on 20 of the top LLMs and vision models from OpenAI, Google, Anthropic, Mistral, and xAI. The verdict? “All the models, at some point, returned answers that were entirely wrong… hallucinations increased when the scenery was temporary or had changed over time.” Even the top-performing models—O3, O4-mini, Grok—couldn’t consistently get things right. No confidence scores. No real traceability. And in many cases, no idea where the photo was actually taken. At GeoSpy, we figured this out the hard way. Back in 2023, we started with building LLMs and VLMs. The results looked flashy, but they weren’t trustworthy. These models were never designed for precision photo geolocation. So we pivoted. GeoSpy 2 is not an LLM. It’s a purpose-built geolocation model—designed from scratch using a custom transformer architecture trained on global image data. The result? ✅ Significantly higher accuracy than O3, O4, Gemini, Claude, and Grok ✅ ~100x less compute than the giants ✅ Transparent predictions with traceability ✅ Built-in confidence scoring ✅ Robust in low-context scenes where LLMs fail As Bellingcat rightly pointed out: “Ultimately, LLMs are no silver bullet… they still hallucinate… and when a photo lacks detail, geolocating it will still be difficult.” They’re right. But that’s exactly why we built GeoSpy 2—to move beyond generic models and give OSINT investigators, law enforcement, and analysts a tool that actually works. If you care about geolocation, accuracy, and efficiency, let’s talk. lnkd.in/dYCibEkZ

Chain-of-Zoom Extreme Super-Resolution via Scale Autoregression and Preference Alignment