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Here’s everything you need to know about Grok Build’s changelog since release Grok Build is moving fast from a coding CLI into a full terminal-native agent workspace Since launch, it has added or improved plan/review/approve workflows, clean diffs, project-aware context through AGENTS.md, skills, hooks, plugins, MCP servers, parallel subagents, headless mode, ACP support, web/X search, image and video tools, compaction, memory handling, and long-running sessions The biggest upgrade people should not miss is the rendering layer Grok Build can now keep more technical output directly inside the terminal: math, formulas, LaTeX, Mermaid diagrams, ER diagrams, UML/class diagrams, state diagrams, sequence diagrams, tables, media outputs, and richer terminal views That matters a lot for research, ML, simulations, algorithms, database design, infra diagrams, paper implementation, and serious code review The terminal is no longer just where you run commands. It is becoming the place where you understand the work, inspect the logic, review diagrams, and keep moving without constantly copying output into another app The workspace layer is also got much more serious upgrades Agent Dashboard lets you manage multiple coding sessions from one screen, see what is working, idle, blocked, or waiting for input, peek at the latest output, reply inline, and dispatch new work without jumping between sessions The Plugin Marketplace turns Grok Build into an extensible developer environment Plugins can bundle skills, slash commands, agents, hooks, MCP servers, and LSPs. Launch partners include MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers. Plugin installs can now resolve directly from registered marketplaces instead of only local paths The latest releases are mostly about making all of this reliable during real work Long responses can resume after network blips. MCP servers recover better after drops or noisy output. Compaction no longer hangs forever. Notifications only fire when user attention is actually needed. Linux clipboard support is stronger. Windows and iTerm rendering are cleaner. Very long sessions can scroll, resume, and quit without falling apart Grok Build is becoming a full terminal-native agent workspace: multi-session, plugin-driven, MCP-connected, diagram-aware, math-capable, media-capable, long-context, and built for developers who actually live in the terminal

Grok Build just got another meaningful upgrade, bringing permanent session deletion, smarter diagnostics, better keyboard guidance, and stronger reliability across session management, background tasks, and compaction Release Notes: v0.2.118 Features: • Sessions can now be permanently deleted from the dashboard by pressing Ctrl+X twice on an idle row, or from the welcome list with d then y. • Keyboard shortcuts help (Ctrl+.) now shows how to browse prompt history and search the conversation. • grok doctor now warns when tmux is reducing colors and can fix the config. Bug Fixes: • /btw now retries on temporary model overload instead of failing immediately. • Session sharing is temporarily disabled. • [stop] / Ctrl+C during /compact now cancels instead of no-opping. • Automatic recaps no longer appear twice after the same turn. • Background task wait timeout descriptions and limits now match the client's actual configured ceiling. • Background tasks no longer stay stuck as 'Running' in the tasks pane when they finish quickly. • Plan mode indicator now disappears right after approving a plan instead of lingering. • Dragging the scrollbar in the plan preview now works as expected. • Compaction now correctly handles certain context-length errors from the inference API.

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Former $CRWV employee on why neoclouds are far more exposed to GPU generation cycles than hyperscalers ( $MSFT, $AMZN, $GOOGL ): - The expert describes GPU utilization tracking at hyperscale as a continuous and disciplined process built around two lenses. The first is infrastructure utilization, covering GPU occupancy, idle time, and memory utilization, noting that 95% booked usage can still mask inefficiency if jobs stall or batches have idle gaps. The second is outcome utilization, asking whether the compute is actually generating business value, measured by metrics such as tokens trained per dollar, time to reach target accuracy, and tokens per second per GPU. - The expert sees a meaningful difference between hyperscalers and neoclouds on GPU investment economics. Hyperscalers like $MSFT, $GOOGL, and $AMZN can tolerate a 3-5 year payback period given their ability to monetize the same infrastructure across multiple revenue streams. Neoclouds like $CRWV operate on a tighter 2-3 year window. - With higher financing costs and direct dependence on infrastructure cash yield, neoclouds are far more sensitive to utilization and GPU residual risk. The biggest risk is GPU generation cycles, where a slow payback means newer chips could erode pricing power before the asset has paid itself off. - The expert explains that for hyperscalers, roughly 60% of GPU capacity is allocated to external monetization, including GPU rentals, managed AI services, enterprise inference workloads, and startup model training. The remaining 40% is used internally, and of that internal portion, the majority is still indirectly monetized through products like M365 Copilot or GitHub. Around 40% is dedicated to pure R&D. - The GPU pricing mix has shifted meaningfully over the past few years. In 2023, around 70-80% of revenue was hourly as customers paid a premium just to get access to scarce GPUs. By 2025 that had moved to roughly 50% hourly and 30-50% committed, and the expert expects 2026 to tip further toward committed at around 65% for hyperscalers as AI matures and inference becomes more predictable. Neoclouds are moving in the same direction but more slowly. - By 2027-2030, the expert sees committed contracts settling at 55-65% as the norm, with hourly pricing remaining but losing its scarcity premium as more supply comes online.

Grok Build just got another major update, giving developers deeper visibility into token usage and costs, more flexible model configuration, smarter prompt batching, and enhanced diagnostics for troubleshooting Release Notes: v0.2.109 Features: • /usage now shows token counts and cost for the current session. • grok doctor fix terminal.ssh-wrap can install the recommended SSH wrapper alias. • [model_providers.] lets operators share gateway settings across custom models. • Reasoning effort now accepts max as its own tier (above xhigh) when the model advertises it. • Queued follow-ups can now be batched into a single model turn with the new combine_queued_prompts setting. • /doctor is now the main slash command for terminal, tmux, clipboard and keyboard diagnostics. • read_file now returns full Markdown files inside skills/directories without truncation. Bug Fixes: • Voice dictation now explains when the microphone delivered only silence (macOS permission) versus no speech detected. • Duplicate 'Worked for' markers no longer stack in the transcript when background tasks defer during a parked turn. • The idle status row now clearly says '1 subagent still running' instead of 'watching · 1 subagent' when background work remains. • Background /loop iterations no longer overlap when descendant subagents are still running.

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