GPT-6 Astra launched with claims that it can saturate top-level reasoning benchmarks and perform end-to-end AI engineering tasks, including training model choices, labeling data, running pipelines, deploying and debugging systems, and managing subagents. It achieved 99.9% on ARC-AGI-3 and 97.6% on FrontierMath’s hardest versions, with testing estimating $6 per hour at 33 tokens per second. As a result, teams can use Astra to automate much of the AI engineering workflow in one shot and reduce the need for separate human labor for these operational tasks.
Meta introduced contributor pricing for its Muse Spark AI coding model that discounts usage if users share their prompts and outputs for future training. For inputs, 1 million tokens drop from $1.25 to 10 cents, and outputs drop from $4.25 per million to 20 cents under the contributor tier. This changes user incentives toward providing data for evaluating and improving agentic tools while Meta compensates companies for that information.
PhiloLabs ran Claude Fable 5.1 coding agents to recreate a 3D Union Square in the browser using real geographic data and reference images. The full run used about 8 million tokens and cost about $33 in API calls. Reviewers used Playwright screenshot checks and nine reports to create a punch list for the agents, showing that conventional tests would miss visual and proportion issues.
Clockwork launched to let users schedule AI coding agents on a real calendar that run unattended in sandboxed git worktrees on a Mac. It offers up to 2 years free for startups. The workflow shifts from on-demand agent runs to recurring scheduled jobs with approvals for risky actions and dollar-cost reports.
Modaal launched “Modaal for Android” to build native iOS and Android apps from a single project using its AI agent. The launch is dated “Launching today.” It changes development by producing real Swift/SwiftUI for iPhone and real Kotlin/Jetpack Compose for Android, sharing logic across both app store submissions from one workflow.
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