Verification has quietly become a marketing word, so here is a fast test: when a provider says its inference is verified, a real claim should name three things. - Which model actually ran? - Who checked that it ran? - At what overhead did the check happen? Most claims stall on the second or the third so the ones that cannot name any of the three are the ones to walk away from.

Verification is emerging as a new scaling axis for AI! Scaling pre-training, post-training, and test-time compute have driven much of the recent progress in large language models. Our new work explores a fourth scaling axis: #verification# —the ability to determine whether a solution is actually correct. In LLM-as-a-Verifier, we introduce a general-purpose framework that provides fine-grained feedback across diverse modalities without additional training. We show that three simple ingredients—higher score granularity, repeated evaluation, and criteria decomposition—consistently improve verification performance. The approach achieves state-of-the-art results across robotics, coding, and medical AI, including RoboRewardBench, Terminal-Bench V2, SWE-Bench Verified, and MedAgentBench. I'm particularly optimistic about the implications for #Robotics# and #PhysicalAI#, where verification can serve as a dense reward signal for reinforcement learning, significantly improving the sample efficiency of SAC and GRPO and, in turn, enabling more capable and reliable autonomous systems. As AI continues to scale, I believe verification will become a foundational capability for building more capable and trustworthy autonomous AI agents. 🌐 Website: 📄 Paper: 💻 Code: Outstanding work led by @jackyk02, in collaboration with @shululi256, @pranav_atreya, @liu_yuejiang, @jyx_su, @chelseabfinn, @istoica05, and @Azaliamirh. #AI# #LLMs# #Verification# #Reasoning# #AgenticAI# #Robotics# #PhysicalAI# #ReinforcementLearning# @StanfordAILab @StanfordEng

Address verification on HIFI can now be completed against authoritative data sources instead of a document upload. Proof of address is the last step before approval, and it's where users with an ID in hand and no qualifying document stall. In eligible countries, HIFI can now match the address entered at signup against government, credit, telco, and commercial records through @sumsub, meeting the same verification standard without a customer-supplied document. → Docs: → Blog:

Space verification helps your campaigns go further on @GalxeQuest. Verified Spaces can unlock priority recommendations, tier boosts, and additional GG Points across campaigns. Apply for the Verified Space Program in just 2 minutes:

HashPort frontend verification actually has two different layers The first layer is Published The wallet takes the HTML JavaScript Worker WASM and other executable resources actually loaded by the current page and calculates their SHA-256 hashes, then compares them with the file hashes recorded by the on-chain Store Only when everything matches can the wallet confirm that the current page is identical to the version published on chain But this still does not prove that it is the official website Anyone can publish a frontend on chain, including an attacker publishing a phishing website That is why there is a second layer called Official The target contract can declare its official frontend through the Frontend Declaration Registry When the user is about to sign a transaction, the wallet can compare the Frontend Identity of the current page with the frontend declared by the contract Published proves that the files have not been secretly modified Official proves that the frontend has been recognized by the target contract These two checks solve two completely different problems

Bot detection & human verification will be one of the most urgent demands for businesses over the coming years. Agent swarms will suffocate every website and form; small companies and government websites are most vulnerable. There is a huge gap in the market for this right now. When we looked at what offerings were in the market to use at X, there was not a single company that brought together all the latest technologies so we had to do it all in-house.