This article discusses the latest developments in AI agents, including the launch of Perplexity Computer, the shift from 'vibe coding' to 'agentic engineering', the standardization efforts around AI agents, and OpenAI's new deal with the Pentagon after Anthropic was dropped.
* **Multi-Agent Desktops Expand:**
* Perplexity launches "Computer" – easy-use digital worker.
* Notion & Anthropic boost agent capabilities via plugins.
* **Agent Standards Emerge:**
* Anthropic releases "Agent Skills" repository (GitHub).
* OpenAI adopts similar architecture.
* Agentic AI Foundation forming for standardization.
* **Agentic Engineering Takes Hold:**
* Karpathy: "Vibe coding" outdated.
* Focus shifts to code understanding & agent steering.
* **Cloudflare Optimizes for Agents:**
* "Markdown for Agents" reduces token usage on webpages.
* No website owner code changes needed.
* **Pentagon Shifts AI Partners:**
* Pentagon stops using Anthropic products (values concerns).
* OpenAI wins Pentagon deal – stipulations on surveillance/weapons.
* Potentially weaker safeguards than Anthropic.
This article details benchmarks for Unsloth Dynamic GGUFs of the Qwen3.5 model, including analysis of perplexity, KL divergence, and MXFP4. It covers performance across different bit widths and quant types, highlighting the impact of Imatrix and the limitations of certain quantization approaches. Full benchmark data is also provided.
A new MIT study reveals a significant lack of transparency and safety measures in agentic AI systems, with many offering no disclosure about risks or ways to shut down rogue bots.
Perplexity defends its AI assistants against Cloudflare’s claims, arguing that they are not web crawlers but user-triggered agents.
This blog post details an experiment testing the ability of LLMs (Gemini, ChatGPT, Perplexity) to accurately retrieve and summarize recent blog posts from a specific URL (searchresearch1.blogspot.com). The author found significant issues with hallucinations and inaccuracies, even in models claiming live web access, highlighting the unreliability of LLMs for even simple research tasks.
Perplexity AI is a revolutionary search engine powered by AI, providing accurate and insightful answers to your questions. Our AI-powered chat assistant helps you explore information comprehensively.
The article discusses Perplexica, an open-source AI-powered search tool that aims to address the limitations of traditional and proprietary AI-powered search engines. The tool uses large language models (LLMs) like Mixtral and Gemini to understand and process user queries, delivering relevant and insightful results. It allows searches to be conducted locally, ensuring privacy, and employs information retrieval techniques to fetch relevant web pages based on user queries. Perplexica offers focus modes for specific types of questions, including All Mode, Writing Assistant Mode, Academic Search Mode, YouTube Search Mode, and Wolfram Alpha Search Mode.