Meta ships Muse Spark 1.1 at 75% lower pricing

PLUS: OpenAI rolls out ChatGPT Work with GPT-5.6 & 1X ships NEO hand with 25 degrees of freedom. Anthropic adds Reflections dashboard to Claude, Meta's Iris AI chip enters production in September.

1️⃣ Meta launches Muse Spark 1.1 with a 1M-token context window and aggressive API pricing at $1.25/$4.25 per million tokens

2️⃣ OpenAI unveils ChatGPT Work, a GPT-5.6-powered workspace agent connected to Slack, Teams, Google Drive, and more

3️⃣ 1X reveals a new NEO humanoid robot hand with 25 degrees of freedom and mass-manufacturing readiness for 10,000 units this year

  • Anthropic launches a Reflections dashboard for Claude with usage analytics, quiet hours, and self-reflection prompts

  • Meta prepares to begin manufacturing its in-house Iris AI chip in September, with plans to reach 14 GW computing capacity by 2027

MAIN AI UPDATES / 10th July 2026

🤖 Meta ships Muse Spark 1.1 at 75% lower pricing 🤖
Meta's new multimodal model undercuts competitor API pricing by roughly 75%.

Meta has released Muse Spark 1.1 alongside the public preview of the Meta Model API, introducing a multimodal reasoning model with a 1-million-token context window. The model delivers strong gains in agent reasoning, tool use, and coding, and can split complex tasks across parallel subagents. Priced at $1.25/$4.25 per million input/output tokens — roughly one quarter of top competitors — aggressive pricing pressures OpenAI and Anthropic directly on API costs. CEO Mark Zuckerberg called the model "state-of-the-art or very close to it" on agent benchmarks. API access launches in public preview with $20 in free credits, signalling Meta's push to win over developers building on foundation-model infrastructure.

🚀 OpenAI rolls out ChatGPT Work with GPT-5.6 🚀
OpenAI's new workspace agent integrates with Slack, Teams, and Salesforce.

OpenAI has unveiled ChatGPT Work, a GPT-5.6-powered workspace that unifies chat, coding, automation, and enterprise integrations into a single agentic platform. Connected to Slack, Microsoft Teams, Google Drive, SharePoint, and Salesforce, it can autonomously execute multi-step projects for hours, pulling context from team tools and acting across files and desktop apps. The Codex coding tool is now merged into ChatGPT's redesigned desktop app, which includes a built-in browser and computer-control capabilities. The launch creates direct competitive pressure against Anthropic's Claude Cowork and Microsoft Copilot, marking OpenAI's clearest move from chatbot to full enterprise workplace agent.

🦾 1X ships NEO hand with 25 degrees of freedom 🦾
European robotics firm 1X begins rollout of a mass-manufacturable humanoid hand.

Norwegian robotics company 1X has unveiled a new hand for its NEO humanoid robot featuring 25 degrees of freedom, force sensing in every joint, tactile skin, and a lightweight tendon-driven design that closely mimics human dexterity. The hand is waterproof, durable, and engineered for scale — 1X says it can produce up to 10,000 units this year. Manufacturing readiness at this scale signals real-world deployment is closer than many expected. As a European robotics leader, 1X continues to position itself as a serious contender against US and Asian rivals, proving that hardware — not just AI models — is advancing rapidly toward practical use.

INTERESTING TO KNOW

📊 Anthropic adds Reflections dashboard to Claude 📊

Anthropic has launched a Reflections dashboard for Claude, giving users access to a privacy-focused analysis of their conversations over the past year — surfacing recurring topics, task types, and usage patterns. The feature also includes quiet hours, break reminders, and self-reflection prompts designed to encourage healthier AI habits. Retention-focused features like these differentiate Claude's adoption strategy, setting Anthropic apart from pure-performance competitors.

🔧 Meta's Iris AI chip enters production in September 🔧

Meta is set to begin manufacturing its in-house AI chip, codenamed "Iris," in September, with TSMC handling fabrication and Netta and Broadcom contributing to the chip design. The replacement of Nvidia GPUs with custom silicon gives Meta greater control over cost and performance for AI training and inference. The company also plans to double its computing capacity to 14 GW by 2027, reducing dependency on Nvidia and reshaping its AI chip supply economics.

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