Need to know
- OpenAI and Broadcom unveiled Jalapeño, OpenAI's first custom inference chip, built to reduce Nvidia dependence.
- Google Gemini 3.5 Flash ships with native computer use, enabling agents to operate across desktop and mobile.
- Notion launches external agent support, letting Claude and Cursor act as teammates inside workspaces.
- Slack ships an MCP client inside Slackbot, turning the messaging layer into an agent orchestration surface.
- GitHub Copilot removes model selection from the free tier, tightening the line between free and paid.
New Releases
OpenAI and Broadcom unveiled Jalapeño, OpenAI's first custom-designed inference processor, built in under a year using OpenAI's own AI models.
- Designed for LLM inference at scale: Jalapeño is purpose-built for OpenAI's serving stack, not general compute, which is the architectural distinction that matters for cost and latency.
- Still in testing, preliminary results promising: OpenAI reports meaningful efficiency gains but has not published final benchmark numbers, leaving the full performance story open.
Google launched Gemini 3.5 Flash with computer use natively integrated, allowing developers to build agents that see and act across desktop and mobile environments without a separate model.
- Previously a standalone model, now baked in: The computer use capability was a separate Gemini 2.5 endpoint; folding it into the main Flash model removes an integration step and improves agentic task performance.
- Significant price increase over predecessor: Gemini 3.5 Flash costs 5x more on input tokens than Gemini 2.5 Flash, making workload economics the primary adoption decision.
Notion shipped external agent support today, letting users tag Claude or Cursor directly in docs, threads, and databases to execute tasks end-to-end without leaving Notion.
- Cursor SDK enabled a two-week integration: Notion's engineering team used the Cursor SDK to embed coding agents into their product, demonstrating how third-party platforms can add agent capability without building the stack themselves.
- Agents plan, build, test, and open PRs: The integration goes beyond autocomplete — Cursor takes assigned tasks through a full development loop before surfacing results to the user.
Slack shipped an MCP client inside Slackbot, enabling AI agents from any MCP-compatible server to participate in conversations and take actions directly within Slack channels.
- Multiplayer agent work in existing channels: Agents join where the work already happens rather than requiring users to context-switch to a separate AI interface.
- Extends Salesforce's agentic Slack strategy: Combined with the existing Agentforce integration, this positions Slack as the coordination layer for multi-agent enterprise workflows across the Salesforce platform.
Funding
xAI announced a no-cost Grok integration for Interactive Brokers clients, letting traders connect existing accounts to query portfolio analytics and market insights — the first major brokerage to embed a frontier AI model directly into trading workflows.
Case Studies
GitHub reported that Copilot usage reached a record high in June following its shift to pay-as-you-go pricing.
- Consumption model unlocked latent demand: The move away from flat seat pricing allowed organizations to expand usage across more developers without committing to per-seat costs for infrequent users.
- Simultaneous free-tier tightening: GitHub also removed model selection from the free Copilot tier today, pushing users who want model choice toward paid plans and sharpening the upsell path.
Trending on X
- Capability overhang already baked in Ethan Mollick's argument that today's models already guarantee large-scale social and economic transformation — no AGI required — is generating significant agreement and reshaping how researchers frame deployment timelines versus development timelines.
- Claude Mythos API identifier spotted A Mythos model identifier briefly appeared live on Anthropic's API this morning before being pulled, triggering a debate about whether Mythos launches soon or quietly folds into the next Opus release.
- Rebuilding infra for Software Factories swyx's post arguing that the industry needs to rebuild foundational infrastructure for an era of AI-driven software factories is resonating with engineers who see current tooling as mismatched for agent-scale code production.
- What makes an AI company durable Builders on X are debating whether lasting AI companies will be won through distribution, proprietary workflow data, or infrastructure moats — with most skeptical that model wrappers survive commoditization.
- OpenAI and Anthropic pre-IPO speculation Retail traders are actively discussing pre-IPO positions in OpenAI and Anthropic, with the SpaceX private-market narrative cited repeatedly as the playbook for how pre-IPO AI stories move capital before public listings.