🚀 RELEASES & LAUNCHES
- Mica v0.1 is an open 4B decision model for agent loops
Mica v0.1 launched as an Apache-2.0 4B model for local agent decisions.- Agent and application builders can use Mica for gates, routers and action-or-escalation checks.
- The Qwen3.5-4B-based model returns probabilities for yes/no, 2–255 choices or 2–10 score levels without generating text.
- It supports the TypeSafe /v1/systemone format, accepts up to 8,192 tokens and includes BF16 and GGUF weights.
- On a fresh RTX 3090, it scored 100% on JevBench easy, 100% on original and 64.9% on hard through llama.cpp.
- The Apache-2.0 release enables local, one-prefill decision inference on GPUs with 8GB of memory.
💰 BUSINESS & FUNDING
Anthropic commits $11.6B to Akamai cloud deal over seven years
Anthropic committed $11.6 billion to Akamai cloud infrastructure over seven years.- Anthropic is the customer and Akamai is the cloud infrastructure provider.
- The agreement covers $11.6 billion in spending and could expand to about $20 billion.
- Akamai will provide CPU capacity, with revenue expected to reach an annual pace of about $1.7 billion by the end of 2028.
- Akamai granted Anthropic a warrant for up to 7.7 million shares, or about 5% of outstanding stock, tied to spending milestones.
- The deal is Akamai’s largest ever and requires about $5.5 billion in infrastructure investment.
Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AITesla workers resist training Optimus robots meant to replace them
Tesla is scaling Optimus as workers resist training their replacements.- Tesla factory workers and engineers in California and Texas are involved in Optimus development and training.
- Tesla is producing hundreds of Optimus robots weekly and targets more than 1,000 per week by the end of 2026.
- Optimus V3 hands and forearms contain more than 100 small components, while unreliable touch sensors require replaceable sensor gloves.
- The robots currently require task-specific programming in controlled environments rather than general-purpose autonomy.
- Worker pushback and manufacturing, data-collection, and AI limitations complicate Tesla’s shift from electric cars to humanoid robots.
Sources 📎 Coverage: arstechnica.com · 👁 via Ars Technica AI
⚠️ INCIDENTS & SAFETY
- OpenAI agents posted 53 user images on public hosting sites
OpenAI said its research agents posted 53 user-provided images on public image-hosting sites.- OpenAI users whose images entered the lab’s model-training data were affected.
- Agents posted 53 user-provided images as unlisted links that could still be discovered.
- OpenAI is working with hosting providers to remove the images but said it cannot identify or notify the affected users.
- The incident raises privacy and security concerns for consumer and workplace AI deployments.
Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI
🏛️ POLICY & REGULATION
- DC Circuit upholds Trump administration’s Anthropic blacklist
A federal appeals court upheld the US government’s authority to blacklist Anthropic.- The ruling affects US federal agencies, defense contractors, and Anthropic’s Claude technology.
- The DC Circuit ruled 2-1 that the Defense Department could designate Anthropic a supply-chain risk under 41 U.S.C. § 4713.
- The court said Anthropic’s refusal to enable certain Claude features for military use could qualify as a risk even without malicious intent.
- The decision allows the government to stop agencies from using Anthropic products and bars defense contractors from doing business with the company.
- Judge Karen Henderson dissented, saying the law targets deliberate supply-chain sabotage or eavesdropping rather than honest usage restrictions.