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NVIDIA Nitrogen promises a new era of vision-to-action AI by learning gameplay solely from video inputs, but running this model on consumer hardware reveals distinct latency hurdles.

The 2025 hardware bankruptcy crisis has claimed giants like iRobot and Rad Power. We analyze the specific failures, warranty risks, and what owners should do next.

Is the new Alexa Plus upgrade actually useful? We test the new Agentic AI features, provide fixes for common bugs, and analyze the upcoming Expedia and Square integrations.

After 25 years, the PlanetWeb 3.0 Sega Dreamcast browser can no longer load Google due to SSL changes. Here is how to keep your console online in 2025 using proxies like FrogFind.

Microsoft’s Rust 2030 plan aims to eliminate C/C++ using AI agents. We analyze the engineering reality, the memory safety benefits, and the massive risks of automated rewrites.

Anna’s Archive has released a massive 300TB Spotify backup. We analyze the Ogg Vorbis quality, storage requirements, and the reality of offline music preservation.

Learn to run GLM-4.7 locally using Unsloth Dynamic quants. We cover critical llama.cpp MoE offloading flags, specific regex settings, and hardware tuning for 355B models.

The recent McKinsey layoffs signal a shift in the industry. We analyze how AI in consulting is dismantling the "billable hour" model and what replaces it.

In 2025, Anthropic hiring strategies are pivoting toward generalist engineers with creative "side quests," valuing curiosity and cross-domain skills over narrow specialization.

As AI data center energy costs surge, residential ratepayers are seeing a 13% jump in pricing due to capacity market mechanics and outdated infrastructure policies.

The Indie Game Awards stripped Clair Obscur: Expedition 33 of its titles following a strict Gen AI disqualification. We analyze the zero-AI policy, developer pitfalls, and the industry impact.

Explore the current landscape of Microsoft Copilot, analyzing its integration challenges, user experience issues, and Microsoft's strategy to enhance productivity tools.

New 2025 data reveals AI-generated code contains 10.83 bugs per pull request compared to human benchmarks, creating urgent challenges for software quality control.

SoftBank faces a year-end deadline to secure $22.5 billion for OpenAI. We analyze the risks of Masayoshi Son's "Stargate" bet, the Arm margin loans, and what this means for the AI market.

If you’re searching for the best AI meeting note taker to keep up with your busy schedule, the top 10 AI meeting note taker tools for 2026 include remio, Tactiq, Otter.ai, Fireflies.ai, Bluedot, Avoma, Granola, Lindy, Sembly AI, and Supernormal. Each AI meeting note taker is designed to help you capture meeting notes quickly and generate concise meeting summaries in no time. The market for AI meeting note taker solutions is projected to grow from $9.54 billion in 2024 to $11.

You want AI to give correct answers and be trustworthy. So, what is RAG? Retrieval-augmented generation helps you achieve this by mixing information retrieval with text generation . This method links generative models to external sources, ensuring that every answer is more useful and based on real facts. Studies show that retrieval-augmented generation lowers mistakes by 30 percent. You can notice these positive changes in tools like remio. RAG assists with features such as a

In 2026, people are looking for the best RAG tools for AI and llm workflow. This top 10 RAG tools articles will help you do this. You will see new names like remio. There are also favorites like LangChain, LlamaIndex, Haystack, RAGatouille, EmbedChain, NeMo Guardrails, Pinecone, Weaviate, and Milvus. These top RAG tools work for different needs. Developers make smarter apps. Companies get more work done. You can handle your own knowledge easily. Retrieval augmented generation

You can see how RAG changes how AI answers questions in 2025. RAG uses dynamic knowledge injection to give you better and newer answers. Before, many AI systems only used what they learned in the past. Now, RAG uses its own frameworks to find new information. You get answers right away with facts, not guesses. Today, RAG makes answers up to 13% more correct . RAG also lowers wrong answers by 60-80%. You get the newest information fast in areas like finance and healthcare. Met

A recent Anthropic experiment exposes critical AI agent security flaws after a vending machine agent lost $1,000 and ordered a PS5 via simple prompt injection.

OpenAI has officially opened the ChatGPT App Store, releasing the Apps SDK beta for developers to integrate services like Spotify and Zillow directly into chat.