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.

USOPP'S SLINGSHOT HAS BEEN NERFED Usopp’s Galaxy Slingshot (Mythic) - Close-range damage: 93 → 90 (-3%) - Mid-range damage: 93 → 90 (-3%) - Long-range damage: 88.35 → 86 (-3%) - Max-range damage: 83.7 → 82 (-2%) - Headshot multiplier: 2.13 → 2.11 (-1%) Usopp’s Slingshot (Legendary) - Close-range damage: 89 → 86 (-3%) - Mid-range damage: 89 → 86 (-3%) - Long-range damage: 84.55 → 82 (-3%) - Max-range damage: 80.1 → 78 (-3%) - Headshot multiplier: 1.8 → 1.75 (-3%) Usopp’s Slingshot (Epic) - Close-range damage: 85 → 82 (-4%) - Mid-range damage: 85 → 82 (-4%) - Long-range damage: 80.75 → 78 (-3%) - Max-range damage: 76.5 → 74 (-3%) - Headshot multiplier: 1.8 → 1.75 (-3%) Usopp’s Slingshot (Rare) - Close-range damage: 81 → 78 (-4%) - Mid-range damage: 81 → 78 (-4%) - Long-range damage: 76.95 → 74 (-4%) - Max-range damage: 72.9 → 72 (-1%) - Headshot multiplier: 1.8 → 1.75 (-3%) Usopp’s Slingshot (Uncommon) - Close-range damage: 77 → 75 (-3%) - Mid-range damage: 77 → 75 (-3%) - Long-range damage: 73.15 → 71 (-3%) - Max-range damage: 69.3 → 67 (-3%) - Headshot multiplier: 1.8 → 1.75 (-3%)

🧐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!

Open-weight AI is 6–7 months behind the closed frontier but frankly your workload doesn't care. Did your problems get 6–7 months harder? Epoch measured the capability gap specifically for cybersecurity. 🟣 GLM-5.3 → 160 Cyber ECI 🟦 GPT-5.4 from March → 157 🟦 today's closed frontier → ~171 So today's best open-weight cyber model is roughly where the closed frontier was 6–7 months ago. That sounds like bad news for Local AI. I'm not sure it is. Because there's a more fundamental question - Did your problems get 6–7 months harder? If yesterday's frontier model can already 💻 build the app you need 📄 search your documents 🔧 fix your code 📊 analyze your spreadsheet 🤖 automate your workflow then today's smarter frontier model doesn't suddenly make yesterday's model incapable. This is the part of AI benchmarks I think we're beginning to miss. The frontier keeps moving. But the capability threshold required to solve problems nearly all of us encounter often doesn't. Once a local model crosses that threshold, the competition changes. Most people don't actually want to code. They want the thing the code produces. If a local model can write the tool, run it and solve the problem, it doesn't necessarily matter that Opus can solve a substantially harder problem. And today's other OpenRouter number makes this point 👉 Open weights → 72% of tokens / 27% of spend. ⚠️ Epoch measured cybersecurity capability, not general everyday usefulness, and GLM-5.3's Cyber ECI currently comes from only three benchmark results. Epoch AI Link in ALT

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.