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A tiny 3B model just outperformed Qwen on deep-search and coding benchmarks. At the same time, Claude Sonnet 4.6 is getting Opus-level power at a lower price.
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AI INSIGHTS
🍐 Claude Sonnet 4.6 Gets Opus-Level Power (Without Opus Pricing)
Anthropic just upgraded Claude Sonnet 4.6 to near-Opus 4.6 performance but kept Sonnet pricing the same. And it now ships with a 1M-token context window (beta).
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Sonnet: $3/$15 per 1M tokens
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Opus: $5/$25 per 1M tokens
→ That’s ~67% more tokens per dollar on Sonnet. For long prompts and long outputs, that matters.
Many preferred Sonnet 4.6 over 4.5 (70%) and even over Opus 4.5 (59%), citing fewer hallucinations and less overengineering. On OSWorld (real app usage):
→ Sonnet 4.6 nearly matches Opus 4.6. This is about practical automation, not just chat quality.
They also added context compaction, which summarizes older turns so long-running sessions don’t collapse under their own weight. That’s useful when analysis runs for hours and new data keeps coming in.
Sonnet 4.6 blurs the line between mid-tier and flagship. That lowers the barrier for serious AI apps, makes long-running agents cheaper, and shifts buying decisions toward value.
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4. 7 Easiest AI Side Hustles that Even Students Can Start to Get $1K/Month (All Online). Want extra cash for travel or gadgets? Learn the exact prompts I use to turn basic AI apps into money-making machines between my busy lectures today
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TODAY IN AI
AI HIGHLIGHTS
📲 Manus just launched personal OpenClaw-style agents inside Telegram, no technical setup needed. You get research, data processing, and even PDF creation. Try it here.
⚙️ Building a vibe-coded app that stands out is an entirely different skillset. Here’s a step-by-step breakdown on how to build apps that don’t look vibe-coded.
🎙️ Longtime NPR host David Greene is suing Google, claiming NotebookLM’s male podcast voice copies his cadence and tone. But Google says it’s on a paid actor.
🔒 ChatGPT gets Lockdown Mode for security-focused teams. It blocks risky tools, restricts live web access, and adds Elevated Risk labels. Here’s how it works.
🍏 Apple is accelerating three AI wearables: an AI pin, smart glasses, and AirPods with Siri integration. If production starts in December, 2027 might get interesting.
🚀 Meta secured millions of Nvidia chips for its data centers, including standalone Grace CPUs & next-gen Vera Rubin systems. Wall Street didn’t see this one coming?
💰 Big AI Fundraising: Blackstone has led a $1.2B funding round for Indian AI data center startup Neysa, showing the rising demand for AI infra in emerging markets.
NEW EMPOWERED AI TOOLS
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🎨 Figr AI maps flows, spots edge cases, runs UX reviews, builds A/B variations and prototypes that match your app’s design language
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📈 Layers generates a growth plan and helps run it – content, social posting, ads, and insights – so you can keep building while users come in
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🧠 Boost.space v5 provides the persistent context layer that turns siloed LLMs into an integrated business intelligence system
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👁️ Qwen3.5 is an open-weight, native vision-language model built for long-horizon agentic tasks. It delivers the capabilities of a 397B giant with the inference speed of a 17B model
AI BREAKTHROUGH
🧠 China’s 3B Surprise… A Recruiting Startup Just Beat Qwen
Nanbeige LLM Lab, backed by a Chinese recruiting platform, just released Nanbeige4.1-3B. It’s open-weight under Apache 2.0. And it’s posting numbers that punch way above its size.
On Arena-Hard-V2 (a brutal chat stress test), it scores 73.2.
On Multi-Challenge, 52.21. On deep-search agent benchmarks:
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69.90 on GAIA vs 28.33 (Qwen3-4B-2507)
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75.00 on xBench-DeepSearch-05 vs 34.00 (Qwen3-4B-2507)
Yes. Their 3B reportedly beats a 32B model in that setup. So how are they doing this? The answer isn’t scale. It’s training design.
→ They start with an upgraded supervised fine-tuning mix, then apply two reinforcement learning stages.
The model also supports up to 256K tokens of context. That enables deep-search setups with hundreds of tool calls and 100K+ token single-pass reasoning.
For a 3B model, that’s unusually ambitious and clearly aimed at agent-style workflows.
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