Just tried a CyberCab ride here in Austin Texas 🤩 Super smooth experience. The style is just unmatched especially vs Waymo which I tried last year.
Hope it’s not gonna take years until this is possible in Germany. Come on EU 🤞 https://t.co/ZJsmmELnxw
70·B+Long
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news9/7news
Grok Build just got another big update, taking another major step toward becoming a full agent workspace
Desktop app tools now connect through a dedicated first-party MCP server, a new long-running workspace daemon can expose folders to Computer Hub, finished subagents can be continued instead of restarted, and background agents now return their actual output directly
Add better diff previews, smarter tool priority, stronger safety around destructive Git commands, and faster session startup
Release Notes: v1.0.22
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 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. • 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. • `/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 ~15s instead of the 120s 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 config files.
5·CNeutral
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Twitter9/7news
🤔
5·CNeutral
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Twitter9/7news
Common sense is now considered “Far Right”
5·CNeutral
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meme9/6meme
Level up your game, on and off the court🏀
Grab your Valhalla gear today at https://t.co/sAWcJ22DgJ! 🔥
#FLOKI #ShopFloki #ValhallaP2E
0·-Neutral
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news9/6news
Altiero Spinelli – The Man Who Designed the EU in Prison.
Not a metaphor. Literally. The blueprint for the European Union — its founding logic, its institutional architecture, its explicit goal of dissolving national sovereignty permanently — was written in 1941, on a tiny island off the coast of Naples, where Mussolini had imprisoned him. The Ventotene Manifesto. Still cited. Still operative. Still running.
1. Spinelli had been a communist since seventeen – and was eventually expelled from the Communist Party for left-wing deviation. Too radical for the communists. Which tells you something about the man. In his prison years he reached the conclusion that the nation-state was the root cause of war, fascism, and every political catastrophe of the century. It had to go. Not reformed. Not constrained. Abolished – permanently, irreversibly, through the construction of a supranational federal authority with supreme power over member states.
2. The Ventotene Manifesto was written in 1941 on paper smuggled into the prison in cigarette packets. Its argument was simple and total: nation-states must be replaced by a federal European government. The economic integration would come first – because economic interdependence would make political separation prohibitively costly. Then the institutions. Then the law. Then the currency. Each step irreversible by design. The nation-state dissolved not by force but by process – incrementally, bureaucratically, until the point of no return had been passed without anyone noticing when.
3. This is the architecture of the European Union. Not a conspiracy theory – the founding document. Spinelli served as a member of the European Parliament and drafted the 1984 Spinelli Report – the direct precursor to the Maastricht Treaty. Today the European Parliament sits in the Spinelli Building in Brussels. The Spinelli Group inside it advances his program explicitly, in his name, without apology. The man who wrote the blueprint in a prison cell in 1941 is the acknowledged intellectual father of the institution that governs 450 million people. This is not hidden. It is simply not taught.
4. The mechanism was specifically intended to be irreversible. Each treaty expands competence and makes contraction impossible. The Commission is unelected and insulated from democratic pressure to reverse course. Spinelli understood, from his Marxist formation, that the correct way to make a revolutionary change permanent is to make the cost of reversing it higher than the cost of accepting it. Brexit took fifty years of membership to become possible – and was still nearly impossible to execute.
5. Poland is the most precise illustration. A nation that disappeared from the map for a century and fought back through language, family, and refusal to be absorbed – now a member of an institution designed to make national sovereignty obsolete. The Brussels directive that overrides the Polish parliament is Spinelli’s program, running as designed. The Poland that survived partition by Prussia, Russia, and Austria is now navigating a project designed to produce the same outcome through consent rather than conquest. Spinelli would have considered this progress.
6. He died in 1986, before Maastricht, before the euro, before the completed project. Like Gramsci, he did not need to see it. The manifesto written on cigarette-packet paper on a prison island became the founding document of the most powerful supranational institution in history – one that 450 million people live inside without knowing who designed it, when, where, or why.
7. Now you know. The question worth asking is not whether the EU is good or bad. It is whether you would have consented to Spinelli’s program if asked directly – whether you wanted the nation-state abolished permanently by incremental bureaucratic process, designed from the start to be irreversible. Nobody was asked. That too was part of the design.
25·CLong
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news9/5news
I had the chance to talk to the head of the Reaction Injection Molding (RIM) Tesla team that developed the process, machines, materials and production line responsible for the Cybercab exterior (and some interior) plastic panels.
What is RIM? Reaction injection molding (RIM) is a manufacturing process that injects two liquid chemicals into a mold to create strong, lightweight plastic parts.
The primary benefits to Tesla? Tesla uses Reaction Injection Molding (RIM) for the Cybercab primarily to eliminate the traditional automotive paint shop, which is historically one of the most expensive, space-consuming, and environmentally taxing parts of car manufacturing. Tesla's goal for mass production is a highly compact, parallel modular assembly system called the "unboxed" process.
By skipping the massive infrastructure of a paint shop, Tesla can reduce the factory footprint by roughly 50%. Since the colored panels come out of the molds nearly complete, they don't have to follow a strict sequential painting order and can be easily bolted on toward the end of assembly, minimizing the risk of factory scratches.
In the Tesla application for Cybercab, the RIM gold exterior body panels have a underlying reinforced plastic inner support panel that is plastic laser welded (& some industrial adhesives) bonded to the outer panel.
When I first saw the early production tests, I noticed there were visible "distortions" where the contact points occurred and this detracted from the overall look of the Cybercab.
The team worked very hard to address this issue and made a number of production process modifications that virtually eliminated this issue and I can say the Cybercabs I saw and rode in at the Launch Event looked exceptionally clean.
Amazing work by the Plastics team to not only develop this process and the machinery and materials used, but to refine the production process to get such an amazing result! Thanks to @XanderSky for making this video clip!
65·B+Long
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news9/4news
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: https://x.ai/build
Update to the latest Alpha release: grok update --alpha
Update to the latest Stable release: grok update
5·CNeutral
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news9/4news
'I support all meme coins. I might even buy (or sell) one or two in the next few weeks to test a few new things. May the best memes win! 🙏'
are you still going to test the few new things sir, @cz_binance? 👀
with Binance announcing the $MARSCOIN spot listing today, i think it is a good candidate for this test
it is also the first meme/stock pair to be listed on Binance, so it's on the frontier of one of the hottest crypto trends right now
plus you and your friend @elonmusk memed the idea into existence haha
85·ALong
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news9/3news
SpaceX Highlights Starbase Ambitions, & More
This week's newsletter covers Starbase Louisiana, OpenAI Jalapeño results, and Figure AI's Index app.
1. SpaceX Highlights Starbase Ambitions By: Brett Winton | Chief Futurist | @wintonARK Last week, SpaceX and Governor Jeff Landry announced Starbase Louisiana, a $100 billion commitment to build one of the largest infrastructure projects in history on roughly 125,000 acres at Pecan Island in Vermilion Parish.[1] The greenfield investment includes five complexes, each with two Starship towers, with ten pads at the outset, and eventually more than a dozen towers supporting ~30 flights per day. The land will include not only a launch site, but also onsite propellant production, power generation, deep-water shipping, vehicle processing, employee housing, and likely an airport. Construction will begin in 2027, with first launches no earlier than 2029. Two geographic features were the deciding factors. Launch corridors facing south over the Gulf will give SpaceX efficient access to the polar orbits for its space-based compute constellation, and natural gas in Louisiana will power the methane-fueled rockets. Gwynne Shotwell was clear about the motivation: the company's existing infrastructure—two pads at Starbase in Texas and three soon-to-be in Florida—cannot support the ambitious plans for Starship’s flight cadence.[2] For perspective on the scope of the project, Brazil’s 14 gigawatt (GW) Itaipu hydropower plant, the closest completed contemporary analog, cost ~$90 billion in today’s dollars, and California’s much delayed and uncompleted high-speed rail project is projected to cost ~$125 billion, as shown below.
What Explains The Size Of This SpaceX Investment? SpaceX needs the capacity because the payloads-in-waiting are worth potentially trillions of dollars a year, starting with billions for its Starlink communications constellation and, we believe, trillions for its Starmind constellation. Based on ARK’s projection of SpaceX’s monetization rate per communications satellite, a single reusable rocket filled with Starlink satellites could generate ~$4 billion in lifetime net cashflow relative to the $1 billion in combined launch, satellite manufacture, ground station installation, and customer acquisition costs. Importantly, the towers at Pecan Island should be able to catch Starship. Indeed, if Starship launches its tenth fully reusable commercial rocket successfully in 2027, as we anticipate, the post-tax IRR (Internal Rate of Return) would approach 100% at an annual rate, as shown below.
With that kind of return, the constraint on SpaceX will not be capital but the physical capacity to deploy it. The company should maintain similarly healthy, albeit moderately diminishing, returns even as it scales through hundreds of Starlink-carrying Starship flights. Though the Starlink opportunity will eventually saturate, the galaxy is the limit for SpaceX’s AI opportunity. By its 100th AI satellite launch ARK’s research suggests all-in costs to manufacture and launch its satellites will already run roughly half that of terrestrial datacenter developers. At that time ARK’s research anticipates that SpaceX will still be spending substantially on research and development (R&D) and will mostly monetize its orbital constellation by renting out capacity as an infrastructure-as-a-service provider while it seeks to catch up to the performance frontier currently occupied by Anthropic and OpenAI. Even with those constraints, its early Starmind launches should be able to yield IRRs in the high 20s as can be seen below.
As the buildout expands, datacenter economics on the ground are likely to get worse as developers cope with local opposition and have to find exponentially increasing amounts of power. Meanwhile, SpaceX should become increasingly expert at manufacturing its satellites and packing more satellites into each launch; its economics should get better. Its 1000th launch could enjoy upfront costs at less than 40% those of the terrestrial benchmark. The volume of compute that SpaceX will command simultaneously suggests that it should be able to catch up with the performance frontier, pull back on research and development use of its constellation, and deliver higher-monetizing AI software to end-customers. By its 1000th launch, the prospective IRRs of Starmind could double those of Starlink at its peak, even as SpaceX invests much larger dollar volumes into the AI constellation.
What Will Be The Macroeconomic Impact Of This Investment? Based on Louisiana's ~$344 billion in nominal gross domestic product (GDP),[3] a capital commitment of $100 billion, no matter how phased, will move the needle, especially because it will impact a parish of fewer than 60,000 people. Compared to the state’s GDP per capita of ~$56,000, its fact sheet on this project projects 3,000 direct new jobs and ~8,100 indirect jobs with salaries averaging $92,600 per year over ten years. Landry put the historical contrast in stark relief: for generations, industry has extracted oil, gas, and petrochemicals from Louisiana, taking their share of state GDP down from ~25% in 1999 to less than 20% today.[4] SpaceX is entering Louisiana not to extract, but to build. Chronically underestimated in macro forecasts, disruptive innovation does more than displace the existing capital stock: it increases the expected return on new capital enough to incentivize physical infrastructure that otherwise would not be built. In 2015, no company would have considered investing $100 billion in an industrial complex on Pecan Island to serve the rocket launch business. Rocket reusability changed the expected return on capital on such a project, which summoned the capital. Now, the capital is buying propellant plants, power generation, and port infrastructure in a parish that had none. More important than the initial investment will be the second-order impact. Infrastructure built to accommodate a technology on a steep cost-decline curve should generate a higher return on capital than the legacy stock it displaces, delivering productivity—cheaper access to orbit, always-on connectivity, cheaper compute per watt—that redeploys labor, energy, and land at the margin for more productive uses cases. That supply-side expansion is the reason the growth associated with disruptive technology is much larger than consensus models have incorporated.
2. OpenAI’s Jalapeño Could Accelerate The Shift Toward Custom AI Silicon By: Karim Mattar | Research Associate, AI & Cloud | @MattarARK Last week, OpenAI published the first results for Jalapeño, its first custom inference chip developed with Broadcom. â� Relative to Kimi K2.5, the largest public model tested, OpenAI reported ~1.5 times higher peak performance per watt and 3.4 times lower latency, as shown below.[5] Across Kimi K2.5, DeepSeek R1, and GPT-OSS 120B, Jalapeño achieved the performance-latency frontier despite being OpenAI’s first attempt.
SemiAnalysis independently verified Jalapeño’s InferenceX results at OpenAI’s lab and found that it outperformed Blackwell on performance per watt across nearly all of the workloads tested.[7] Its output-token throughput per megawatt also exceeded NVIDIA’s latest public Rubin results in SemiAnalysis’s testing.[8] Rubin is the more appropriate comparison, given the timing of the two chips. That said, the results are early: Jalapeño remains on engineering silicon and SemiAnalysis has yet to test it on AgentX, its benchmark for longer, multi-turn agentic workloads. Perhaps more interesting than the benchmark results is how quickly OpenAI got there. Using its own AI models during the design and optimization process, OpenAI took Jalapeño from initial Register-Transfer Level (RTL) to tapeout[9] in roughly nine months.[10] SemiAnalysis also noted that OpenAI used Codex to overcome one of the traditional disadvantages associated with custom silicon: developing kernels for Jalapeño and shortening the time necessary to build a mature software stack around new hardware. As power becomes a larger constraint on AI infrastructure, squeezing more inference from each megawatt will become increasingly valuable. â� OpenAI and Broadcom plan to deploy 10 gigawatts of OpenAI-designed accelerators through 2029,[11] giving OpenAI the volume to spread chip-development costs across an enormous inference workload. Jalapeño does not mean that OpenAI will stop buying NVIDIA graphics processing units (GPUs), particularly for training. Instead, its early performance suggests that frontier AI companies operating at sufficient scale can justify the cost of designing their own inference silicon, particularly if AI itself continues to compress chip-development timeline cycles.
3. Figure AI Unveils Index, The Largest And Most Diverse Robot Dataset In The World By: Daniel Maguire, ACA | Research Analyst, Autonomous Technology & Robotics | @DMaguireARK Last week, Figure AI came out of stealth mode with Index, a consumer app that pays people to record everyday tasks on camera, sourcing real-world physical data to train humanoid robots.[12] Over four months in stealth, the app has surpassed 264,000 downloads across 108 countries, with users uploading more than 16 million videos and earning $15 million and creating the largest and most diverse robot training dataset in the world, according to Figure AI. The company has committed more than $1 billion to data and compute over the next 12 months. Notably, to outsource the tasks, users can book Creators—a human-powered on-ramp to robots-as-a-service. The launch of Index underscores the importance of diverse real-world data, the current bottleneck for humanoid robot deployment at scale. Hardware is advancing rapidly, as demonstrated during last week’s World Humanoid Robot Games in Beijing, during which Chinese humanoids beat Usain Bolt's 100m world record.[13] Commercial deployments, however, remain few and far between. As a result, companies are beginning to collect data in-house: Tesla flagged its own data efforts on its latest earnings call,[14] and Unitree's CEO is allocating a large portion of proceeds from the company’s initial public offering (IPO) toward software development.[15] ARK's research suggests that humanoid robots are ~200,000X more complex than autonomous vehicles. That complexity is likely to create a ~$26 trillion total addressable market, split roughly evenly between household and manufacturing applications, as shown below.
The development of humanoid robots is still in early innings. We look forward to monitoring the pace of scaling over the coming years.
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[1] Louisiana Economic Development. 2026. “SpaceX Launches New Era of Commercial Spaceflight with $100 Billion Louisiana Campus.� [2] Ibid. See also SpaceX. 2026. “SpaceX Reports Second Quarter 2026 Results.� [3] Bureau of Economic Analysis. 2026. “GDP by State.� [4] Louisiana Economic Development. 2026. “SpaceX Launches New Era of Commercial Spaceflight with $100 Billion Louisiana Campus.� [5] OpenAI. 2026. “Jalapeño’s first results show industry-leading speed and efficiency in AI inference.� [6] Ibid. [7] Shan, B. et al. 2026. “OpenAI Jalapeño: Better Than Nvidia Blackwell.� SemiAnalysis. [8] Ibid. [9] The RTL to Tapeout process transforms a high-level Register-Transfer Level (RTL) hardware description into a final, manufacturable layout file delivered to a foundry. See ChipExpert. 2025. “From RTL to Tapeout : A Complete VLSI Flow Explained.� [10] OpenAI. 2026. “OpenAI and Broadcom unveil LLM-optimized inference chip.� [11] Broadcom. 2025. “OpenAI and Broadcom announce strategic collaboration to deploy 10 gigawatts of OpenAI-designed AI accelerators.� [12] FigureAI. 2026. “Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset.� [13] Zhuang, Y. “2026. A Chinese Robot Beat Usain Bolt’s 100-Meter Record. Should We Be Impressed?� The New York Times. [14] Yahoo!Finance.2026. “Tesla, Inc. (TSLA) Q2 FY2026 earnings call transcript.� [15] Wang, Y. 2026. “Unitree IPO Turns 36-Year-Old Founder Into China’s First Humanoid Robot Billionaire. Forbes. [16] International Federation of Robotics. 2025. “National Robot Density.� Knutsen, R. et al. 2025. “Quadruped State of The Market - Unitree, Boston Dynamics, ANYbotics, DEEP Robotics, and The Rising Application Ecosystem.� SemiAnalysis. 36Kr European Central Station 2025 2025. “Unitree Launches Listing Guidance: Favored by Capital, but Mass Production Yet to Come.�