Full /goal documentation from Anthropic:
GENERATIVE AI
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Claude Code introduces autonomous goal-oriented agent workflows
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Claude Code just shipped /goal. You set a condition. Claude keeps working across turns until it's met. No babysitting. No prompting each step. A separate AI checks the work after every turn. Not Claude judging itself. Set it. Walk away. Come back to finished work. I made a
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The Evolution of AI Voice into Real-Time Conversational Intelligence
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My takeaway: The future of AI voice is not “speech-to-text.” It’s real-time conversational intelligence. That opens the door to entirely new workflows across enterprise software, customer support, media, and collaboration. I break it all down in the full video. Watch it here
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Advancements in Natural AI Speech Generation
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Another underrated capability: Natural speech generation. Most AI voices still sound overly polished or robotic. This approach adds: → Tone
→ Pauses
→ Emotional cadence
→ Conversational rhythm The result feels dramatically more human. That matters more than people -
AI Model’s Contextual Formatting Capabilities for Speech Transcription
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What impressed me most is the contextual formatting layer. The model does not just transcribe speech. It structures information automatically: → Dates
→ Numbers
→ Currency values
→ Speaker separation
→ Precise timestamps That means conversations instantly become usable -
The Evolution of Voice AI from Hearing to Understanding
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The biggest shift: AI is moving from “hearing words”
to “understanding conversations.” That sounds subtle, but it changes how enterprises can use voice AI in the real world. → Live meetings
→ Support calls
→ Podcasts
→ Streaming audio
→ Large audio archives The system -

Google’s new Gemini model to rival GPT-5.5 at I/O
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Lets go: Google’s next Gemini model is expected to compete with GPT-5.5 Google is reportedly preparing to unveil a new Gemini model at I/O, positioning it near OpenAI’s recent GPT-5.5 rather than the more elusive Anthropic Mythos. Google i/o got even more exciting
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Foundational Course on Large Language Models for Young Developers
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If you’ve been curious about how Large Language Models work, how AI tools generate responses, or what powers today’s Generative AI applications, this course is a great place to start. The LLM for Young Developers: Foundational Course offers a practical introduction to
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Build Your AI Employee in One Afternoon
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this guy literally breaks down the exact Claude + Obsidian playbook to build your own AI employee in a single afternoon
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GeoSpy AI privacy implications and capability analysis
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GeoSpy AI can locate a photo from a few pixels in a reflection.
— Pascal Bornet (@pascal_bornet) 14 mai 2026
No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time.
This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable.
Because the privacy… pic.twitter.com/dmCCojpWrMGeoSpy AI can locate a photo from a few pixels in a reflection. No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time. This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable. Because the privacy