Is it just me, or are today's LLMs less likely to default to building everything in React than they were last year? I used to have to say "don't use React" in almost all of my frontend web dev prompts, I've not had to do that for most of the models in quite a while now
SOFTWARE
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Sol and Terra launch: new GPT-5.6 models with US government request
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Good new first: Sol is a smart, efficient, and a significant step forward. It is the same price as GPT-5.5. Also launching in the GPT-5.6 family is Terra, with 5.5-level performance at half the price. Bad news: at the request of the US government, it is launching today in
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PantryAgent connects pantry, meals, and grocery list to reduce waste
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4. PantryAgent: Helps you connect your pantry, meals, and grocery list into one system so all food gets used before it gets thrown out. The team generated their entire demo video with the Pika MCP.
— Pika (@pika_labs) 26 juin 2026
Team: Paul Jiang, Yuxuan Jiang, Tianjun Li, Elaine Zhu pic.twitter.com/AEQTR7AXBT4. PantryAgent: Helps you connect your pantry, meals, and grocery list into one system so all food gets used before it gets thrown out. The team generated their entire demo video with the Pika MCP. Team: Paul Jiang, Yuxuan Jiang, Tianjun Li, Elaine Zhu
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1000+ hackers, 24 hours, Pika MCP projects from CalHacks
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1000+ hackers. 24 hours. One Pika MCP. Here are five of our favorite Pika-fueled projects that came out of @CalHacks.
— Pika (@pika_labs) 26 juin 2026
1. Lumen: Lets product placement happen in post. Pass a product photo into Lumen and Pika will drop it into your footage seamlessly.
Team: Raghav Ojha pic.twitter.com/zY1MlkqmiU1000+ hackers. 24 hours. One Pika MCP. Here are five of our favorite Pika-fueled projects that came out of @CalHacks
. 1. Lumen: Lets product placement happen in post. Pass a product photo into Lumen and Pika will drop it into your footage seamlessly. Team: Raghav Ojha -
Book on ML for Time Series Forecasting and Anomaly Detection
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Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
amzn.to/3wrjXVv by @benji1a —————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #EdgeAI #EdgeComputing -
Designing Machine Learning Systems – Iterative Process for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro — 𝓣𝓸𝓹𝓲𝓬𝓼:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, -
RAG-Driven Generative AI 2nd Edition: Build MAS-RAG with DualRAG
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New (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL filtering -
MCPs vs CLIs: Which to Use When Building Agents?
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Should you use MCPs or CLIs when building agents? @BraceSproul + @jakebroekhuizen spill the tea. pic.twitter.com/BjeEvzgjiU
— LangChain (@LangChain) 26 juin 2026Should you use MCPs or CLIs when building agents? @BraceSproul + @jakebroekhuizen spill the tea.
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NVIDIA and Zaha Hadid Architects Build Custom AI Tools for Secure Design
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AI is most impactful when it's tailored to the way teams already work. Discover how Zaha Hadid Architects uses local compute, fine-tuned AI models, and NVIDIA technologies to build custom AI tools that accelerate design while keeping proprietary data secure.
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Slime: Open source RL framework behind GLM-5.2 post-training
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The RL framework behind GLM-5.2 is fully open source. The full post-training of GLM-5.2 ran on it in about two days. The same stack sits behind the entire GLM series, from 4.5 to 5.1. It is called slime, and it is built around one idea. Keep a single RL kernel, and push all the