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BREAKING: SpaceXAI has released a new and improved update for Grok Build. v1.0.12 — 2026-08-27 Performance: • Worktree creation is faster by skipping stale reflog copies. Bug Fixes: • Copying wrapped table cells no longer inserts unwanted spaces at line breaks. • MCP server connections that fail transiently now...

414,160 Aufrufe • vor 1 Monat •via X (Twitter)

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BREAKING: SpaceXAI has released a major new update for Grok Build (v1.0.14) Grok v1.0.14 is a reliability and workflow update for the Grok CLI. It makes OIDC token refresh proactive, lets PostToolUse hooks send feedback back to the model after tools run, adds per-turn token and cost tracking via grok usage, and cuts Windows downloads by about 70%, with a large set of fixes that tighten sandboxing, subagent handling, hooks, and startup. Features: • OIDC token refresh is now proactive by default for better reliability. • PostToolUse hooks can now provide feedback and context to the model after tool execution. • SDK-registered PostToolUse hooks now provide model-facing feedback. • grok usage now shows persisted per-turn token and cost data. • Retry status in composer and title now shows a short reason for the retry. • Models can now declare a different identifier for each reasoning-effort level instead of always sending the same id. • Prompt suggestions now respect remote configuration and default to the current session model. • Windows CLI downloads are now ~70% smaller using the same compressed sidecars as macOS and Linux. Bug Fixes: • grok inspect now correctly shows Claude bypass locks as advisory rather than enforced. • Subagent sessions no longer leak threads or file descriptors when the parent is busy. • Cold startup no longer performs duplicate remote settings fetches. • Compaction failures due to context size now degrade input instead of retrying identically. • --sandbox strict now restricts writes to ~/.grok/sessions only. • Subagent spawning now waits longer on a busy coordinator and shows clearer retry guidance instead of "unreachable". • Failed task and todo tool calls now appear in the transcript instead of disappearing without a trace. • Composer status row no longer collapses or flashes when using double-Enter to send now. • Session close is no longer delayed by a single slow hook; each SessionEnd hook now has its own timeout. • Hook removal in the extensions modal no longer offers actions that the handler will refuse. • Interjections during a turn are now delivered atomically or not at all. • Subagent tasks no longer get incorrectly cancelled when the parent session is waiting for completion. • Workflow detail view now closes the overlay on X or outside click instead of returning to the run list. • Resuming subagents now succeeds for larger transcripts that still fit the model context with headroom. Performance: • Startup now fetches remote settings only once per boot instead of potentially twice. • First message on large repositories no longer waits on repository status scan. • Large session memory no longer blocks the agent during turn completion or subagent spawning. • Signed-in CLI starts faster by serving remote settings from a local cache on warm boots. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

52,568 Aufrufe • vor 1 Monat

SpaceXAI just released a new update for Grok Build. Update to v1.0.11 Features: • Headless sessions are now browsable in the resume picker without mixing into default history. • Default permission mode for new interactive sessions is now configurable. • Turn duration now appears in session history after resume. • Turn footers (Worked for, cancelled, failed) now appear after /resume. • mkdir and touch no longer prompt in auto mode or safe-command lists. • Subagent messages are now allowed automatically in permission Auto mode. • Headless sessions can now auto-allow permission prompts via a startup hint. Bug Fixes: • Permission prompts for common command chains and subcommands are now more reliable. • Blocked prompts no longer appear in conversation history or scrollback after restart. • Background monitors no longer have a 10-hour default timeout. • Mouse input at the right margin no longer types characters into the prompt on certain terminals. • Pasting text ending in a newline no longer accidentally submits the prompt on some terminals. • Auto mode now shows a permission card when the classifier blocks an action on interactive sessions. • Image previews no longer leave ghost artifacts when using the Kitty protocol on Warp. • Expanded Execute tool output no longer snaps closed during live progress. • /voice now falls back to parec/arecord on older PipeWire installs. Performance: • Background command waits now finish as soon as the process exits. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

49,666 Aufrufe • vor 1 Monat

BREAKING: SpaceXAI has released a major new update for Grok Build (v1.0.13). The update improves reliability with automatic retries and recovery from truncated responses, inference failures, oversized images and session-saving issues. It also adds smarter hooks, better Windows support, faster MCP and session startup, improved scheduled tasks and quicker compressed CLI downloads. Features • Length-truncated responses now continue automatically instead of failing the turn. • Hooks can now ask the user to confirm a tool call instead of always allowing or denying. • Hooks can now request deferral or add context shown to the model after a tool runs. • Session close now records detailed timing data for performance analysis. • Credit limit upsell now offers a Try Again button to retry the last prompt. • Pasted images now show a live pixel preview in the prompt box on iTerm2. Bug Fixes • Transient inference failures (stalls, drops, 5xx) now retry automatically instead of ending the turn. • Windows users can now correctly open ~/.grok and worktree sessions. • Session data is now more reliably saved after prompts and on power loss. • Compaction failures now show the actual error instead of a generic message. • Truncation error messages now show the right guidance instead of suggesting an unhelpful retry. • Truncated tool calls are now executed instead of failing the turn when arguments are complete. • Images larger than 2000px no longer brick sessions on many-image requests. • Wrapped hyperlinks in the pager now remain fully clickable on Windows Terminal instead of only the first line. • Recurring scheduled tasks now include a reminder to stop the monitor when work finishes. • Scheduled task IDs are now full UUID strings, preventing collisions when tasks are created in the same millisecond. Performance • Subagent spawning is faster when connections drop during bursts. • Session startup with MCP servers is now much faster when auth is already configured. • MCP server startup no longer stalls behind a fixed batch size. • CLI downloads are now compressed, making fresh installs and updates substantially faster. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

490,415 Aufrufe • vor 1 Monat

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.19) This update improves background task handling, adds transparent terminal themes, worktree support for headless sessions, and better session/dashboard controls. It also fixes UI freezes, crashes, feedback issues, clickable URLs, and makes the first prompt after login faster. Breaking Changes • Scheduled /loop tasks always run in the background; they no longer inject turns into your conversation. Features • New terminal theme option makes backgrounds transparent so the terminal's own colors show through. • MCP servers blocked by organization policy now show clear messages and are refused before any config change. • Session resume now tells the model what loops, subagents, and workflows were still running. • Dashboard now shows newly dispatched sessions immediately instead of waiting for the store. • Headless sessions (grok -p) now support the --worktree flag to run in a separate git worktree. • Dashboard now says 'Open session' instead of 'Add session' for the session picker button. • Multi-line bash commands now render with proper wrapping and highlighting when opening the block viewer. • /usage now works from the dashboard and shows account allowance when no session is active. Bug Fixes • Fixed mid-turn UI freezes when the terminal stops reading output. • Fixed crashes that occurred when the terminal pane was closed while grok was exiting. • MCP server list in minimal mode now correctly shows policy-blocked servers. • URLs that wrap across multiple lines inside quotes or lists are now fully clickable. • The welcome screen composer now grows taller when you paste multi-line text. • Enterprise policy files are no longer deleted on startup when your team login is stored at a custom GROK_AUTH_PATH. • /feedback now drops unsupported images with a notice (matching the modal) and never loses your report text on save errors. • Feedback drafts keep their paragraph breaks when updated, and the modal no longer switches tabs unexpectedly. • Turn summary lines no longer lose their spacing after background tasks finish. • Thinking blocks no longer stay expanded after switching between fullscreen and minimal modes. Performance • First prompt after login is faster when MCP servers are configured; they connect in the background. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

443,850 Aufrufe • vor 1 Monat

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.22) This update is focused on smoother workflows, better safety and improved reliability. It adds stronger desktop and MCP integration, clearer file-edit previews, a redesigned dashboard and better subagent support. It also fixes problems with sessions, skills, authentication and background commands while making sessions faster to open and resume. Features Built-in agent tools now take precedence over user MCP servers when tool names collide. Desktop app tools are now available through a dedicated first-party MCP server. Remote control pickers can now group servers by device using announced device identity. edit_file diffs now show real file line numbers instead of starting at line 1. Permission prompts for file edits now auto-expand the diff row so you can see the change before approving. Sending a message to a finished subagent now continues that same subagent instead of failing. Background subagent completion messages now show the actual output instead of just a pointer to run the tool. Dashboard now shows a unified header with a location picker and an actions row for creating agents or resuming previous sessions. New grok-workspaced daemon mode lets a long-lived process expose folders to the Computer Hub, separate from the Desktop-supervised sidecar. Bug Fixes MCP connectors now correctly show when they need re-authentication, even if no tools are listed. Extensions modal shortcuts now work when the tab bar is focused, and invalid actions on headers show helpful messages. The Send now button and shortcuts now work correctly when an automatic background turn is running. Resumed sessions now show the exact text you typed for mid-turn follow-ups instead of the wrapped system message. The /skills command now updates the model with newly installed skills, even when written from another NFS client. Auto mode no longer instantly runs destructive git checkout -- commands; they now go through the model for safety. Fixed a crash that could occur when restoring pasted content after certain skill injections or rewinds. Subagents and workflows now respect the same bash timeout and auto-background settings configured for the parent session. Fixed model backend selection so an explicit chat_completions setting in config.toml is no longer overwritten by same-slug siblings. Slash command advertisements no longer spam repeatedly when your current directory is your home folder. Foreground shell commands no longer produce spurious background-task reminders or incorrect kill results. Queued follow-up buttons now appear in the order [Send now][edit][Cancel]. /compact instructions in the pager are now passed to the compaction backend. Bare /compact is unchanged. /goal, and resume after pressing Esc, now correctly starts the goal planner instead of failing with “Planning failed.” run_terminal_cmd now correctly tells the model that foreground commands are backgrounded after approximately 15 seconds instead of the 120-second timeout value. Skill announcements no longer repeat the same list of available skills multiple times in a session. Monitor events in multi-session processes now correctly wake idle sessions instead of being buffered until the next prompt. Performance Opening or resuming sessions no longer pauses the interface while reading MCP configuration files. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

62,365 Aufrufe • vor 1 Monat

BREAKING: SpaceXAI just released Grok Build v1.0.36 with new dashboard controls, live background task streaming, and major bug fixes. This update adds a dashboard preview toggle, stronger organization policy controls, and live streaming for background shell commands. It also fixes sandbox trust, pinned agents, configuration handling, MCP authentication, and background subagent approvals. Release Notes 1.0.36 — 2026-09-17 Features • New Dashboard preview setting lets you hide the selected-session preview panel on the dashboard. • New policy setting allows organizations to disable hooks that are not from managed policy. • Background shell commands now appear as live task rows with streaming output. Bug Fixes • grok --sandbox no longer exits when accepting folder trust. • Pinned agents in the dashboard no longer jump when their activity changes. • Swift code with triple-quoted strings now highlights correctly in the pager. • Mixed-case reasoning_effort values (e.g. "xHigh") are now accepted in config.toml. • Fixed accidental empty agent sessions when pressing Enter right after sending from the dashboard. • Fixed default TUI sessions so an [agent] set in config.toml is respected instead of always using a builtin plan. • MCP plugin authentication now succeeds for servers that declare a client ID in their manifest. • Shell command approvals from background subagents are now shown instead of being silently rejected.

DogeDesigner

49,579 Aufrufe • vor 25 Tagen

BREAKING: SpaceXAI just released a major Grok Build update, with Grok 4.7 now available in Grok Build. The update improves crash recovery, prompt handling, navigation, configuration reliability and overall subagent performance. It also adds new subagent controls, configurable request limits and long-reasoning reminders. Release Notes Version 1.0.41 — September 22, 2026 Features • Added a new sports_search tool that can look up live NFL scores, standings, schedules, player stats and team records directly from X data. • Added a subagent model inheritance setting to /settings. It persists in config.toml and respects managed and overlay layers. • Per-model request size limits can now be configured to match provider HTTP body caps and control inline image eviction. • A long-reasoning reminder can now be enabled through config to nudge the model after lengthy hidden-reasoning steps. Bug Fixes • Fixed the subagent fullscreen view so it no longer shows a stray [Dashboard] button in the header. • Fixed agent frontmatter mcpServers so headers and URLs from the active agent’s agent.md correctly override config.toml and survive config reloads or agent switches. • Ctrl+P now opens the command palette immediately from the welcome screen. • The Dashboard now focuses the “+ New Agent” row instead of leaving the previous session selected. • Sessions interrupted by a crash now show a clear marker instead of silently dropping the turn. • Pressing Ctrl+Z immediately after stashing a prompt now restores it. • The collapsed edit blocks setting now correctly collapses edits even when expanded_by_default is pinned to true. • Interjections now receive a visible reply before the agent resumes its previous tasks. • Cancelling a turn blocked on spawn_subagent now tells the model that the child moved to the background instead of claiming it was never executed. • Saving a queued-prompt edit now returns focus to the composer so the next keystrokes type the next message. • Subagent activation is now consistent between the TUI and Grok Agent Studio. Tables that only set limits or models no longer disable subagents. • Effort-level selection now accepts menu labels in addition to IDs.

DogeDesigner

427,277 Aufrufe • vor 20 Tagen

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Dave Kennedy

49,607 Aufrufe • vor 7 Monaten

Build AI agents on a time-aware knowledge graph! Utopia is an open-source knowledge system that turns documents, databases, and connected sources into a temporal graph your agents can reason over. Most RAG systems are optimized for one question: what is relevant right now? That works until the underlying knowledge changes. A customer contract gets updated. A project owner changes. A policy is revised. A previous fact may no longer be true, but simply overwriting it means the system loses the history behind that change. Utopia handles this with a bitemporal knowledge graph. Each fact can track both when it was true in the real world and when the system learned about it. When something changes, the old fact is preserved instead of silently disappearing. That means an agent can reason about questions like: • What is true now? • What was true three months ago? • When did this information change? • What evidence was the conclusion based on? The graph is also ontology-aware, so documents are represented as entities, facts, and relationships instead of only chunks and embeddings. That gives the system more structure for reasoning across relationships, resolving entities, detecting conflicting facts, and deriving new information through explicit rules. Key capabilities: • Bitemporal knowledge graph for tracking how facts change over time • Provenance on facts so agents can trace where information came from • Conflict detection instead of silently overwriting contradictory information • Ontology-based reasoning across entities, relationships, and derived facts • Hybrid retrieval across full-text search, vector search, and graph traversal • MCP and agentic RAG support for exposing the knowledge layer directly to agents The interesting part is that this turns the knowledge base into more than a retrieval system. Instead of only finding relevant information, an agent can reason over what changed, what is still valid, how facts are connected, and where each conclusion came from. 100% open source. I've shared the GitHub repo in the comments!

Sumanth

16,653 Aufrufe • vor 1 Monat

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 Aufrufe • vor 9 Monaten

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

10,095 Aufrufe • vor 5 Monaten

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

Alok

12,962 Aufrufe • vor 3 Monaten

Sure, but the idea of simplifying the appearance of Fortnite, the locker and the shop are all going in the exact opposite direction of simplicity. Equipping cosmetics takes double, if not triple the clicks. The UI is impractical and janky, not to mention the introduction of buttons and drop-down menus that were far easier to access previously. Selecting a skin to rotate it, preview it or even spin it around now requires clicking on it, which then applies it to your loadout. Previously this needed a confirm button so you could preview and choose skins, backblings etc without loosing your currently equipped on if you want to go back. Wraps are not included as part of a character's preset despite being completely relevant to the skin worn. Changing emotes, lobby tracks, and all cosmetics now means you have to back out and change tabs, something that could have previously been done on 1 page. The sectioned tabs make sense with new types like LEGO Kits, Cars, Instruments but there's no need to separate Character from Wraps, Emotes or Lobby. Archiving or Favoriting items can no longer be done in batches or quickly. Previously all you had to do was click once per cosmetic on the button but now you have to enter a drop down and select it for every individual item. Applying wraps to all slots now requires a drop down menu rather than simply clicking the button at the bottom. Swinging a pickaxe or redeploying a glider is near impossible to do and feels like more of a chore to actually accomplish with the drop-down menu. It overlays onto other items meaning as soon as it's clicked the menu vanishes and switches to another cosmetic before the animation can even begin. Cosmetics in the locker can be searched by seasons using "S1-17" but after S18+ they no longer filter. Entering the drop-down menu or right-clicking anything in the locker accidentally immediately takes you all the way back to your currently equipped item when exiting. The filter menu requires an "apply" button to be pressed rather than simply closing and applying when selecting one of the filters, taking longer and more clicks to simply find your recent items or remove a filter. The filter menu was also better as a side panel so you don't have to move your cursor to the center of the screen and back every single time. As a side panel it also allowed for more options to be displayed, whereas the current one requires a huge scroll bar to simply filter by favorite. The presets menu scroll wheel also zooms the skins in and out as you scroll up and down the list. Because of the randomize preset button, the list compared to when saving a preset is all moved up by 1, becoming disorientating to where the preset was in relation to the rows. The shop no longer displays item descriptions or set names on cosmetics - now requiring a click on each individual item when there is adequate space to do so. The new shop and locker appearance can be accustomed to, however, it NEEDS the basic functionality and user-friendly UI elements that the previous ones had. Simple buttons at the bottom to favorite, swing, redeploy and equip. Less tabs to switch between, less clicks required to complete simple tasks and less feeling like there's a battle against the UI itself just to equip the cosmetics you paid for. We appreciate the moves the renew the locker and shop, but in terms of functionality and user interaction, there is nothing we want more than the old one back or the old one's elements merged into the new appearance. Thank you.

FNAssist

181,435 Aufrufe • vor 2 Jahren

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.

Shanaka Anslem Perera ⚡

54,545 Aufrufe • vor 3 Monaten