Reliability Sprint Token usage grew 3.5x in a quarter and led to reliability issues across our databases, vector search, job queues, and document processing infra. We implemented database sharding and tighter incident detection, and migrated to horizontally scalable systems like Turbopuffer and Temporal among many other efforts. Resolved all major reliability issues in two months, now Harvey is scaling as fast as before but much more reliably for our customers.

Import-reliant nations in Southeast Asia are rolling out emergency decrees and rushing to subsidize rooftop solar panels as conflict in the Middle East continues to drive up the price of fossil fuels.

AI reliability can't come from "self-reflection" alone. Welcome to the era where a separate agent audits the answer before you get it 🔬 Title: Apodex-1.0: A Verification-Centric Agent Team for Discoverative Intelligence URL: 🔬 Overview A system that shifts from a single-agent reasoning loop to a verification-centric distributed agent team. In heavy-duty mode it becomes an asynchronous team that specializes, cross-checks, and audits its own evidence before answering. ❓ Challenges Solved Reliability on hard, open-ended problems can't come from a model's parametric memory alone. The premise: the hardest research problems are bounded not by model capacity but by what the model is allowed to interact with. 💡 Methodology & Proposed Approach ・A main agent asynchronously spawns specialized sub-agents with independent contexts and tools ・A shared report pool aggregates parallel findings without blocking on slower tasks ・A verification agent team handles conflict resolution, fact-checking, and draft review ・The core idea is verification as external audit: the reasoning agent and auditing agent are separated, and the verifier is free to disagree ・It coordinates up to 150 sub-agents over 15,000+ steps in a single task 📊 Experimental Results ・BrowseComp 90.3 / DeepSearchQA 94.4 / BrowseComp-ZH 84.1 ・FrontierScience-Research 46.7 (+8 vs competitors) / SuperChem 74.2 (+12 over next-best) ・Heavy-duty mode lifts the base by +14.8 on BrowseComp and +18.4 on FrontierScience-Research ・The open-source 4B-SFT beats every 30B-class open-source model on BrowseComp #AIAgents# #DeepResearch#

Institutional finance runs on reliability, and Injective keeps sharpening the rails. Last month Injective executed another mainnet upgrade, building on June's Vulcan release that added native USDC, new real-world asset markets, and cut oracle gas costs by roughly 90%. Major exchanges supported the upgrade without disrupting trading. Faster settlement, regulated dollars, and institutional-grade market data on one finance-native Layer 1. The infrastructure institutions need is being shipped in public, block by block.

Agents need reliable blockchain data to act onchain. Through Circle Agent Stack, @goldskyio lets agents query curated data across 40+ EVM networks and pay per request with Nanopayments, starting at $0.000005 in @USDC. No accounts, API keys, or subscriptions required. Explore the service:

Starlink is bringing reliable high-speed internet to small aircraft and bush planes operating in some of the most remote regions on Earth. Pilots flying over vast wilderness, deserts, or isolated islands can now access real-time weather data, communicate more effectively with the ground, receive navigation support, and stay connected during long flights where traditional networks simply do not exist. Passengers and crews also benefit from the ability to stay in touch with the outside world while traveling through areas that were previously completely offline. This technology is improving both safety and the overall experience of flying in remote and challenging environments.