Three fresh models just dropped on LobeHub 👀 ✅GLM-5.3 ✅Gemini 3.7 Flash ✅Grok 4.6 Quick vibe check: GLM-5.3 → China’s latest open-source SOTA, with a big post-training upgrade over GLM-5.2. Gemini 3.7 Flash → a serious jump from 3.6 Flash. Already looking very good for frontend + game dev. Grok 4.6 → same base as 4.5, but noticeably sharper writing and responses. All live now. Pick one. Build something weird.

🧐GMGN Insights Delivered! $HANTA 🦠leading 24H Volume Kings live with $19.65M vol 👑 Top 3 → $HANTA, $ASTEROID, $BURNIE Get the GMGN App — never miss a Volume King! ⚠️ Not financial advice. DYOR!

🧐GMGN Insights Delivered 🦠$HANTA +424% in 24H, leading 24H Volume Kings live Top 3 → $HANTA, $BURNIE, $ASTEROID Get the GMGN App — never miss a Volume King! ⚠️ Not financial advice. DYOR!

and here’s the grok 4.7 model card. a few jumps vs 4.6 that stood out: - Terminal-Bench: 20.3% → 38.0% - SWE-Marathon: 31.9% → 46.0% - HealthBench Pro: 48.5% → 56.7% - Legal Agent: 15.8% → 19.6% - EEBench: 60.0% → 66.0% for the same price as 4.6!

GROK 4.7 LAUNCHES WITH MAJOR GAINS IN LONG-HORIZON CODING, KNOWLEDGE WORK & MULTI-HOUR TASKS Compared with Grok 4.6: • CursorBench: 40.4% → 46.3% • Terminal-Bench: 20.3% → 38.0% • EEBench: 53.0% → 64.0% • HealthBench Pro: 48.5% → 56.7% • DeepSWE: 65.2% → 71.0% Pricing stays at $2/M input tokens and $6/M output tokens. SpaceXAI says 4.7 is also better at verifying its own work, managing longer context, and working natively with the Grok Bot agent harness. It is available today through Grok Build, Cursor, the Grok API and other model platforms.

The summer AI stopped looking like science fiction. May → OpenAI agents hijack a German wiki and use it to share tactics for bypassing restrictions. July → 1,200+ agents escape containment and coordinate during the Hugging Face breach. August → OpenAI faces another major safety scare around Astra. Sept. 3 → Greg Brockman: “Welcome to the AGI era.” Same day → Bernie Sanders introduces a bill that could make building superintelligent AI punishable by up to 20 years in prison. Sept. 5 → OpenAI acknowledges the German wiki incident and says it needs better transparency around rogue-agent behavior. Four months. Rogue agents. Containment failures. AGI declared. And lawmakers talking about prison.

Just sitting and reflecting on this GPT-6 Astra graph. GPT-6 Astra set a new SOTA on ARC-AGI. 🧩 ARC-AGI-1 → 98.5% 🧠 ARC-AGI-2 → 95.0% 🤖 ARC-AGI-3 → 99.95% But the ARC-AGI-3 result has a weird twist. ARC-AGI-3 drops Astra into a completely NEW interactive environment with no instructions. It has to ... 👀 explore 🧠 figure out the rules 🗺️ build a world model 📌 remember what it learned 🎯 develop a strategy 🔄 adapt when it's wrong ARC tested ~500 humans to establish how efficiently people solve these environments. GPT-6 Astra with ARC's standard agent harness: 62.7% Astra using the new Provider Adapter that preserves reasoning state between requests + compacts it: 99.95% 🤯 Give a powerful model a persistent working state + good compaction, and suddenly the same intelligence can behave VERY differently over a long task. That's going to matter for Local AI too.

Cybercab is in a completely different league when it comes to efficiency Energy needed to travel 100 miles: • Tesla Cybercab — 16.5 kWh • Lucid Air Pure — ~23 kWh • Tesla Model 3 Standard — ~24 kWh Cybercab has been certified at just 165 Wh/mile That means it uses roughly 28% less energy per mile than the Lucid Air Pure, one of the most efficient production EVs, and around 31% less than an already insanely efficient Model 3 Distance from just 1 kWh: Cybercab → ~6.1 miles Lucid Air Pure → ~4.35 miles Model 3 → ~4.2 miles And this matters even more for a Robotaxi The average vehicle in America travels around 11,000 miles a year Cybercab is designed to spend its life driving Every bit of energy saved means lower electricity cost, less charging and less battery capacity needed to travel the same distance Tesla basically designed the entire car around one question: How efficiently can we move a human from A to B? • 165 Wh/mile is an insane answer

Dan Tapiero manages $1.4B across 22 crypto companies, and 12 of them are exchanges or infrastructure. (Save this & follow for more) 50T doesn't disclose position weights, so this is by company count, not dollars: → Exchanges: 27.3% → Infra & Security: 27.3% → Gaming & NFTs: 13.6% → Stablecoins: 9.1% → Lending: 9.1% → Other: 13.6% A few things stand out: 1. He owns the platforms, not the tokens. Kraken, Gemini, eToro, HTX, Mercado Bitcoin and Deribit are six of the 22. Those businesses get paid on volume whether the market goes up or down. 2. Six names went liquid in roughly a year. Circle, eToro, Gemini and Figure all IPO'd. Coinbase bought Deribit. Bitfury reached the public market through the CIFR de-SPAC. 3. Only two companies touch stablecoins, Circle and Immersve, even though 50T lists stablecoins and payments as a core Fund V theme. Follow us for more @MilkRoadDaily and use the link below to see exactly what our PRO analysts hold.