Google is working on Collections support for NotebookLM. > Users will be able to group multiple notebooks into a single collection.
> Collections will appear in a separate tab in the NotebookLM main menu. Since Notebooks now also function as "projects" in Gemini, this may
SOFTWARE
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Google adds Collections support to NotebookLM for grouping notebooks
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@reach_vb — 2026-06-27
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True story: I stopped thinking about context since GPT 5.3 Codex Single project focused threads with the recent capability of codex to spinoff new threads is goated! Codex continues and goes through compaction but remembers all the important stuff and if not, it’ll look up
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GPT-5.6 ships in three capability tiers, Sol is flagship
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@OpenAI just turned the frontier into a choice.
Instead of one model, GPT-5.6 ships as three capability tiers: Sol — the new flagship. Sets a state of the art on Terminal-Bench 2.1 (complex command-line, multi-step agent work) and is OpenAI's most capable model yet for -
OpenHuman’s Super Context reads your screen before you type
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ESTE AGENTE YA CONOCE TU CONTEXTO ANTES DE QUE SE LO DIGAS
— Nico (@nicos_ai) 27 juin 2026
Se trata de Super Context, lo nuevo de OpenHuman
Abres un chat nuevo, escribes una línea y ya sabe en qué estás trabajando
El truco: antes de responderte, va y se documenta solo
→ te lee la pantalla para ver qué… https://t.co/3Qf5Nj2hFc pic.twitter.com/wz0nNCEPFfTHIS AGENT ALREADY KNOWS YOUR CONTEXT BEFORE YOU SAY IT This is Super Context, the new feature from OpenHuman You open a new chat, type a line, and it already knows what you're working on The trick: before replying, it will research on its own → it reads your screen
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Isolation by design for secure agent operations
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The solution is isolation by design. → Research agent: can browse the web, cannot touch private data
→ Action agent: can access sensitive tools, has no internet
→ Credentials: stored in a vault, agents use them without seeing secrets
→ Sensitive actions: trigger a human -
Streaming 3D reconstruction from single camera, real-time, open-source
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🚨 Forget LIDAR.
— Charly Wargnier (@DataChaz) 27 juin 2026
The Robbyant team just dropped a streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences.
One single camera. Runs in real time. Open-source.
Entirely end-to-end.
NO iterative optimization tricks and no post-processing cleanup steps!… pic.twitter.com/zo8GuGQYdIForget LIDAR. The Robbyant team just dropped a streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences. One single camera. Runs in real time. Open-source. Entirely end-to-end. NO iterative optimization tricks and no post-processing cleanup steps!
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How open source and local AI can defeat Microsoft
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Except that we can make Opensource and Local AI win. Anthropic isn’t Google, it’s Microsoft , and Microsoft was beaten; they even ship Linux now.
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Raven: Memory-First Self-Evolving Agent Coming Soon
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Perhaps the market won't even give us six months. We are also juggling research, development, product, design, and operations. However, under this pace, it is difficult to ensure academic results, code quality, product experience, and even design taste. Fortunately, the team atmosphere is very good, and everyone wants to make this happen. You can also look forward to our upcoming release of Raven, a Memory-first, ultra-strong self-evolving Agent.
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AI Agent Tech Stack Explained with Key Technologies and Tools
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The AI Agent Tech Stack Explained! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Machine Learning Credit Risk Classifier from Raw Data to Approval Prediction
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Machine Learning with Python! A Credit Risk Classifier: From Raw Data to Approval Prediction! The Benefit of an Excellent 820 Credit Score! What You Need to Know! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow