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Hey there,

Hope your weekend kicked off strong – whether you're debugging code, brainstorming your next creator project, or plotting SMB growth. As we roll into the week (dropping in your inbox Tuesday), here's the fresh AI intel you can actually use.

TODAY’s HIGHLIGHTS

  • OpenAI Calls Out DeepSeek: OpenAI accuses Chinese startup DeepSeek of "distilling" US models like ChatGPT to train their cheap R1 rival, sparking US-China AI tensions that could hit dev access and pricing.

  • Ai2 Drops SERA Agents: Allen Institute releases open coding agents that adapt to any repo for just $400 training – beating pricier closed models on real GitHub issues.

  • Ring Dumps Surveillance Deal: Amazon ends Ring-Flock partnership amid backlash over police data sharing, a win for privacy in smart home tech.

  • State Hackers Weaponize AI: Google warns Iran, China hackers are exploiting Gemini for phishing and malware, urging devs to lock down AI tools.

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🛠️ TOOL OF THE WEEK

Ai2's SERA coding agents are blowing up for devs and small teams tired of black-box pricey alternatives.

What it is
Open-source family (8B-32B params) that fine-tunes on your private codebase to fix GitHub issues autonomously – hits 54%+ on SWE-Bench Verified benchmark.

Who it's for
Developers, SMB engineering leads, creators building apps – anyone with repos needing fast, cheap automation without RL hassle.

Highlights

  • Train specialized agents for $400 on cloud GPUs, 26x cheaper than rivals.

  • Full Apache 2.0 openness: weights, code, 200k trajectories on Hugging Face/GitHub.

  • One-line Claude Code integration via sera-cli for instant repo navigation/edits.

  • Adapts to internal codebases without data leaks or vendor lock-in.

Try this:

Grab sera-cli: uv tool install ai2-sera-cli then sera --modal – point at your repo and watch it solve issues.

Trade-off: Smaller models shine on specialized tasks but may need human review for edge cases.

📊 AI INDUSTRY INSIGHTS

China's DeepSeek is bypassing safeguards to "distill" responses from ChatGPT and top US models, training their R1 chatbot on the cheap. This model-crime matters to you because it floods the market with cut-rate rivals, potentially slashing prices but risking quality and security in tools devs rely on daily.

Why care as a creator or SMB? Your next API call could power (or get ripped from) these battles – watch for export controls tightening access.

State-sponsored hackers are now wielding AI like Gemini for phishing lures and malware code, per Google's latest Threat Intelligence report—activity spiked in Q4 2025 across Iran, NK, China, and Russia groups. This isn't hype; it's real ops acceleration, making attacks faster and sneakier. For devs and SMBs, it means auditing any public model inputs pronto.

Google just rolled Gemini 3 Deep Think, a reasoning beast for science and engineering, with API upgrades for multi-step agents and structured outputs. ByteDance countered with Seedance 2.0, a viral multimodal video model blending up to 9 images, 3 clips, and audio into pro-grade films-China's chasing that DeepSeek magic again.

These hits show AI shifting to practical deployment: why they matter? Devs get agentic firepower for apps, creators unlock video without crews, but watch the security gaps.

OPEN SOURCE SPOTLIGHT

Everything's open: https://github.com/ai2-open-coding (check Hugging Face for weights). Train on your codebase with their synthetic data pipeline – no PhD needed. Devs are raving about 54% SWE-Bench scores at 1/3 the size of proprietary options. Fork it, fine-tune, deploy – game-changer for SMBs owning their AI stack.

🧠 MINDSET SHIFT

Multi-agent "swarms" are dethroning solo AI for coding-think ant colonies verifying each step over one big brain risking the "Dumb Zone." Recent summits predict IDEs fading by end-2026 as context engineering rules. What if your next project swaps single prompts for team debates? Share your take-reply and let's chat.

🔐 PRIVACY PLAY

Google's report spotlights nation-state crews exploiting LLMs for attack tools, from recon to malware. Actionable steps:

  • Scan prompts for sensitive data before public models.

  • Use local/federated setups for code gen.

  • Enable input logging in tools like Perplexity for audits.
    Stay lean, stay safe-your side project shouldn't fund a hack.

That's your AI pulse for the week ahead. Experiment with Model Council today, and hit reply with wins or questions. Build boldly.

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That's your AI pulse – go build something epic this week. Catch you on Wednesday.

Keep learning,
The AI Learning Hub Team

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