👀 Claude Code's source code leaks to the world
🦾Plus: 💰 OpenAI raises $122 billion
In today’s edition:
📰Top 7 News Data APIs in 2026
🍎Ollama is now powered by MLX on Apple
🎙️Cohere drops #1 open ASR model that beats Whisper
⚙️What is inference engineering? Deepdive
💰 OpenAI raises $122 billion
⚡️ Slack drops 30 AI features
🏃 Whoop’s Valuation Tripled to $10Bn
📱 Samsung Galaxy S26 adds natural language AI photo editing
💡 AI Tutorial:How to automate PR reviews with Codex
🤖 AI Tools and Data Tools to checkout
Claude Code’s source leaked publicly. OpenAI raises $122B. Cohere beats Whisper.And inference engineering finally gets the deep dive it deserves 👇
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📚 Today’s READS
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👀 Claude Code’s source code leaks to the world
Anthropic’s flagship terminal coding agent had its source code exposed publicly — giving the entire dev community an unprecedented look inside a frontier agentic coding tool. Prompt chains, tool call patterns, orchestration logic — all visible. The AI engineering world is studying every line right now.
📰 Top 7 News Data APIs in 2026
NewsAPI, GDELT, Reuters, Bloomberg, Diffbot, Aylien, and The Guardian API — ranked for coverage, freshness, pricing, and developer experience. Saves you two weeks of research if you’re building news-aware AI agents.
🍎 Ollama is now powered by MLX on Apple Silicon in preview
Apple’s MLX framework now backs Ollama’s inference engine on M-series chips. Dramatically faster local model performance with lower power draw. If you run local LLMs on a Mac, this changes your workflow today.
🎙️ Cohere drops #1 open ASR model that beats Whisper
Cohere’s new speech recognition model outperforms OpenAI Whisper on every major benchmark — and it’s fully open. Best free ASR on the market for voice pipelines and transcription agents.
⚙️ What is inference engineering? Deepdive
KV cache, speculative decoding, batching strategies, quantization — this is the discipline that turns expensive models into production-grade APIs. The clearest explanation of the field written for working engineers. Bookmark before your next latency conversation.
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🤖 AI NEWS
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💰 OpenAI raises $122 billion to accelerate the next phase of AI
The largest venture funding round in history — by a significant margin. With $122B, OpenAI has more capital than most sovereign wealth funds have allocated to AI. Every cloud provider, chip fab, and data center operator is recalculating their strategy today.
⚡️ Slack drops 30 AI features
Summarization, agent channels, automated workflows, AI search — 30 features in a single release. Slack just became a serious enterprise AI platform. Update your team’s workflow this week.
🏃 Whoop’s Valuation Tripled to $10Bn
The health wearable company hit $10B on AI-powered coaching and biometric data intelligence. Health data engineering is a $10B vertical — and it’s barely getting started.
📱 Samsung Galaxy S26 adds natural language AI photo editing
“Make the sky more dramatic” — typed in plain English — now executes as a pixel-level edit. Natural language UX for image manipulation is now consumer-grade. The AI research-to-consumer gap just narrowed significantly.
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💡 AI TUTORIAL
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How to automate PR reviews with Codex
Source: The Code, Superhuman
PR reviews are a major bottleneck. Reviewers are constantly swamped, regressions slip through the cracks, and missing tests often go unnoticed until production breaks. OpenAI’s Codex can solve this by acting as an automated, first-pass reviewer directly within GitHub.
Just enable Codex in your repo settings and comment @codex review on any pull request. It will post inline comments just like a human teammate would. If it flags an issue, simply comment @codex fix it to kick off a cloud task that patches the code and updates the PR automatically.
To customize what Codex looks for, just add an AGENTS.md file to your repo root:
## Review guidelines
- Flag typos and grammar issues as P0 issues.
- Flag potential missing documentation as P1 issues.
- Flag missing tests as P1 issues.
...Codex applies the closest AGENTS.md to each changed file, so you can put stricter rules deeper in the tree for sensitive packages.
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