It will be much bigger
"Second Space Age": Goldman Forecasts $1.8 Trillion Space Economy By 2035 zerohedge.com/technology/sec…
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So much has been built since then!
When @MKBHD interviewed Elon 8 years ago, Fremont was Tesla’s only car factory. Since then, $TSLA added 3 more car factories, a Tesla Semi factory, 3 Megapacktories, a lithium refinery, 4680 battery cell production, the world’s best-selling car: Model Y, and a Level 4 Cybercab.
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Elon Musk retweeted
BREAKING: Starlink has now partnered with 48 airlines worldwide, covering more than 7,000 aircraft that are already equipped, undergoing installation, or under contract.
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Grok
Grok 4.6 just ranked #2 in agentic U.S. administrative/regulatory legal research and the cost is insane • Grok 4.6 — 62.12% | $1.52/test • Claude Opus 5 — 65.15% | $6.58/test • GPT-5.6 Sol — 60.61% | $19.69/test Grok actually beats GPT-5.6 Sol on accuracy while costing roughly 13× less per test And it comes within just 3 percentage points of Opus 5, while Opus costs more than 4× as much This is exactly where Grok 4.6 is getting ridiculous It’s delivering frontier-level agentic performance at a fraction of the cost Grok is making high-end AI dramatically cheaper to actually use
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Starship Flight 13 is being recovered from sea
After approx. 24 days at sea, the SpaceX Recovery team successfully guided Starship to a location just off the coast of Christmas Island. A team of SpaceX engineers is on their way to conduct additional analysis on the vehicle in calmer waters before attempting to return it to Starbase
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Grok 4.6 takes top spot on this benchmark
🥇 We evaluated Grok 4.6 on MedAgentBench, a benchmark for agentic clinical EHR tasks, and it took the top spot. Grok 4.6 posts the highest pass@1 we've measured to date, moving ahead of the previous leader, GPT-5.6 Sol, to claim first place on the leaderboard. 🏥 Grok 4.6 averages ~95.9% pass@1 (avg of 3 runs), edging out the prior best (GPT-5.6-sol at ~94.7%) and improving on Grok 4.5 by roughly 2.5 points. On a benchmark where the model acts as an autonomous agent in a simulated EHR, calling FHIR APIs to complete clinical tasks across 10 task types, the result is also remarkably consistent run to run (95.3% to 96.3%). 📊 Leaderboards: medicalsphere.ai/benchmarks
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