H2LooP attended the India–Japan Defence Industry Forum 2026 in Tokyo. Building domain-specific AI for mission-critical systems, where verification, security, and trust are non-negotiable. #H2LooP #IndiaJapan #DefenceTech

Our paper is accepted at NeurIPS 2026 (VERICODEGEN) 🎉 Key finding: verifier "acceptance" doesn't always mean proof complete , a toolchain change silently broke 442 files in a Verus corpus. 📄 openreview.net/forum?id=Cs2r…

RT @Indiainchile: India and Chile organized a webinar on 8 October 2026 bringing together key stakeholders from both countries’ defence eco…

AI agents write firmware that compiles. Then it meets the board. Made-up registers, missing volatiles, agents that edit the test instead of the code. We sorted 30 of these into a periodic table Reply with the element you have hit most.

Wrapped up first day at @IndiaFOSS! Great conversations, fresh perspectives, and plenty to take back as we think about the role of open source in engineering AI. #IndiaFOSS #OpenSource #H2LooP

H2loop is at @IndiaFOSS today! Come find us and talk to us about what we are building #IndiaFOSS #UnitedbyFOSS

15 years running turnkey aerospace and defense programs. Ground, naval, airborne. National stakes. He joins H2Loop as Chief Growth Architect. His vision: take us from lab to mission. #DefenseTech #SovereignAI #h2loopai

5,907.27 tok/s on one Tesla T4. The winner of Bear the Tokens: Ratan Kokal. An aerospace undergrad at IIT Bombay. Baseline was 3,332. Faster inference on the same GPU means more requests per dollar. He got past it with serving-engine changes and one observation most people will miss. Dhruv used an inferencing plugin. Aaditya applied AWQ quantization. #h2loopai #LLMInference #GPUOptimization #Quantization

Flat‑rate AI coding was a hidden surcharge on Curiosity. Vendors subsidized compute to capture your corrections. Now they are pushing programmatic workflows to expensive API rates. GitHub Copilot switches to usage-based billing on June 1. Anthropic redefined interactive use to block third-party tools. Cloud pricing penalizes complex system engineering. A single autonomous coding session can burn $30. Unpredictable token billing destroys budget forecasting. Running models on-premise converts variable API fees into fixed capital expenses. You own the model. Your compute costs stay flat. #SovereignAI #CloudCosts #VendorLockIn #h2loopai

Hydron is live. AI for embedded engineers. Code grounded in your datasheet, your codebase, and your hardware context. VS Code + terminal. v1, fresh out of beta. A lot works. A lot will get better. Bring your worst MCU. hydron.sh/

Bear the Tokens leaderboard: 5,066 tok/s on a single T4. Qwen2.5-0.5B. 50 concurrent requests. One Colab to enter. Submissions open till 1 June. Final deadline. PS5 + Claude credits for the winners.

Inc42's 30 Startups To Watch, April 2026. H2LooP made the list under AI and semiconductors. Hardware-aware AI for systems engineering. Built for engineers who work with datasheets, not just docs. Inc42's #30StartupsToWatch list, April 2026. H2LooP made it under AI and semiconductors. inc42.com/features/30-startu…

Mid-challenge leaderboard update. #1 Aaditya H V · 5,065.54 tok/s #2 Dhruv Vakharwala · 3,736.51 #3 Sagnik Bhattacharjee · 3,472.96 #4 Daksh · 3,392.44 Baseline · 3,332 +52% at the top. Still running.

Different companies, different failure modes, same headline. The platforms holding your IP cannot reliably hold their own. Every productivity gain from these tools comes with an implicit trade. Your source code, your credentials, your prompts, handed to a vendor whose recent track record says they cannot be trusted with it.