Mara announced a $7 million pre-seed round to move its Spike counter-drone platform from field testing to broad combat deployment. The financing is led by Khosla Ventures. Spike’s distributed, autonomous 360-degree interception approach is set to scale toward end-2026 ground-mounted deployments and vehicle/man-portable systems in 2027.
Atorie raised $9.5 million in seed funding to sell luxury-grade handbags and clothing made in the same factories as luxury brands, without the branding and retail markup. The company reported $5 million in sales last year and projected an annualised run rate above $55 million in 2026. It plans to use the new capital for logistics, AI tooling, and production, while also building an in-house product line and tools for creators to launch their own brands.
Gauth launched an AI Course that turns subjects into interactive, quiz-enabled lessons with an AI Tutor you can pause to question. The course starts with 200+ AI math courses covering US high school topics from Algebra I through AP Calculus. Users can watch and quiz through lessons, generate their own courses in seconds, and share personalized lessons at their own pace.
Starlie launched as issue tracking software for daily Jira workflows like finding issues, updating them, and moving them on a Kanban board with filters and JQL support.
It launches today and supports both Jira Cloud and self-hosted Jira.
The result is a private-by-design Jira-focused app with features like Kanban drag and drop, reminders, and ⌘K quick access, plus optional coding via Claude Code or Codex with issue context.
OpenAI leadership said an unreleased model effort is targeted to meet an AGI bar before 2027, with Chief Scientist Jakub Pachocki tying progress to an “Automated AI Research Intern.” OpenAI estimated it will declare AGI achieved internally by December 2026. This shifts public attention from open-ended AGI debate toward specific internal milestones and dates.
Antalpha launched Nina, a non-custodial AI trading assistant that drafts trades and predictions from institutional-grade, real-time data for crypto and US stocks. The assistant includes Sentinel 24/7 alerts. Users interact through chat and sign on their own wallet for the resulting trade or safety checks.
Anthropic previewed the Model Hardware Standard (MHS) to help AI agents control lab machines like microscopes via a unified interface instead of device-specific APIs. The standard is based on a collaboration with HHMI and is planned to be made available under an open-source license after early partners help develop safety features. MHS replaces incompatible configuration interfaces, enabling agents to generate instrument-control scripts and automatically fix certain experiment errors, with support from companies including AWS and Hugging Face.
Clara Shih said Meta’s AI agents compressed parts of product development into one or two people, leading her to cut entry-level hiring and eventually leave the company. The account centers on a 10-step process taking 10 days that was reduced to minutes. As a result, Shih left Meta in spring and started the New Work Foundation and a free set of tools to help entry-level workers navigate job disruption.
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