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\u0627\u0648\u0631 \u0641\u06a9\u0631 \u06a9\u0631\u0646\u06d2 \u06a9\u06cc \u06a9\u0648\u0626\u06cc \u0641\u06cc \u0633\u0648\u0627\u0644 API \u0644\u0627\u06af\u062a \u0646\u06c1\u06cc\u06ba \u06c1\u06d2\u06d4<\/p>\n<p>\u06cc\u06c1 \u067e\u0631\u0648\u062c\u06cc\u06a9\u0679 Ollama \u0648\u06cc\u0628 \u0633\u0631\u0686 \u06a9\u0648 \u062a\u0644\u0627\u0634 \u06a9\u0631\u0646\u06d2 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0627\u0648\u0631 \u0645\u0642\u0627\u0645\u06cc Qwen LLM \u06a9\u0648 \u062e\u0644\u0627\u0635\u06c1 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u062a\u0627 \u06c1\u06d2 (\u0628\u062c\u0627\u0626\u06d2 \u06a9\u06c1 ChatGPT \u06cc\u0627 Claude \u062c\u06cc\u0633\u06d2 \u0645\u06cc\u0632\u0628\u0627\u0646 \u0686\u06cc\u0679 \u0679\u0648\u0644\u0632 \u067e\u0631 \u0627\u0646\u062d\u0635\u0627\u0631 \u06a9\u0631\u0646\u06d2 \u06a9\u06d2)\u06d4 \u0630\u06cc\u0644 \u0645\u06cc\u06ba \u0646\u0638\u0627\u0645 \u06a9\u0627 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\u0633\u0631\u0686 API \u06a9\u0648 \u06a9\u0627\u0644 \u06a9\u0631\u062a\u0627 \u06c1\u06d2\u060c \u0627\u0646 \u0635\u0641\u062d\u0627\u062a \u0645\u06cc\u06ba \u0633\u06d2 \u06c1\u0631 \u0627\u06cc\u06a9 \u06a9\u0648 \u0688\u0627\u0624\u0646 \u0644\u0648\u0688 \u06a9\u0631\u062a\u0627 \u06c1\u06d2\u060c \u0627\u0648\u0631 \u067e\u0691\u06be\u0646\u06d2 \u06a9\u06d2 \u0642\u0627\u0628\u0644 \u0645\u062a\u0646 \u06a9\u0648 \u0646\u06a9\u0627\u0644\u062a\u0627 \u06c1\u06d2\u06d4<\/p>\n<p>\u067e\u0627\u0646\u0686\u0648\u06ba \u0635\u0641\u062d\u0627\u062a \u0633\u06d2 \u0646\u06a9\u0627\u0644\u0627 \u06af\u06cc\u0627 \u0645\u0648\u0627\u062f \u0635\u0627\u0631\u0641 \u06a9\u06d2 \u0627\u0634\u0627\u0631\u06d2 \u0627\u0648\u0631 \u0633\u0633\u0679\u0645 \u067e\u0631\u0627\u0645\u067e\u0679\u0633 \u06a9\u06d2 \u0633\u0627\u062a\u06be \u0645\u0642\u0627\u0645\u06cc Qwen \u0645\u0627\u0688\u0644 \u06a9\u0648 \u0628\u06be\u06cc\u062c\u0627 \u062c\u0627\u062a\u0627 \u06c1\u06d2\u06d4<em>\u0645\u0627\u0631\u06a9 \u0688\u0627\u0624\u0646 \u0641\u0627\u0631\u0645\u06cc\u0679 \u0645\u06cc\u06ba \u062c\u0648\u0627\u0628 \u062f\u06cc\u0646\u06d2 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0627\u0646 \u0648\u06cc\u0628 \u0646\u062a\u0627\u0626\u062c \u0627\u0648\u0631 \u0635\u0641\u062d\u06c1 \u06a9\u0627 \u0645\u0648\u0627\u062f \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u06cc\u06ba\u06d4<\/em>\u0645\u0627\u0688\u0644 \u06a9\u06d2 \u062c\u0648\u0627\u0628\u0627\u062a \u06a9\u0648 \u0645\u0627\u0631\u06a9 \u0688\u0627\u0624\u0646 \u0641\u0627\u0626\u0644 \u06a9\u06d2 \u0637\u0648\u0631 \u067e\u0631 \u0688\u0633\u06a9 \u0645\u06cc\u06ba \u0645\u062d\u0641\u0648\u0638 \u06a9\u06cc\u0627 \u062c\u0627\u062a\u0627 \u06c1\u06d2\u06d4<\/p>\n<h2 id=\"heading-step-1-install-ollama-and-get-an-api-key\">\u0645\u0631\u062d\u0644\u06c1 1: \u0627\u0648\u0644\u0627\u0645\u0627 \u0627\u0646\u0633\u0679\u0627\u0644 \u06a9\u0631\u06cc\u06ba \u0627\u0648\u0631 API \u06a9\u0644\u06cc\u062f \u062d\u0627\u0635\u0644 \u06a9\u0631\u06cc\u06ba\u06d4<\/h2>\n<p>\u0634\u0631\u0648\u0639 \u06a9\u0631\u0646\u06d2 \u06a9\u06d2 \u0644\u06cc\u06d2\u060c Ollama \u0627\u06cc\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0627\u0646\u0633\u0679\u0627\u0644 \u06a9\u0631\u06cc\u06ba\u060c \u0627\u06cc\u06a9 \u0627\u06a9\u0627\u0624\u0646\u0679 \u0628\u0646\u0627\u0626\u06cc\u06ba \u0627\u0648\u0631 \u0627\u06cc\u06a9 API \u06a9\u0644\u06cc\u062f \u062d\u0627\u0635\u0644 \u06a9\u0631\u06cc\u06ba\u06d4 \u0627\u0633 \u0679\u06cc\u0648\u0679\u0648\u0631\u06cc\u0644 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0639\u0644\u0627\u0645\u06c1 \u06a9\u0627 \u0641\u0631\u06cc \u0679\u0627\u0626\u0631 \u06a9\u0627\u0641\u06cc \u06c1\u06d2\u06d4<\/p>\n<p>\u0627\u06af\u0631 \u0622\u067e \u06a9\u06d2 \u067e\u0627\u0633 \u06a9\u0644\u06cc\u062f \u06c1\u06d2 \u062a\u0648 \u0627\u0633\u06d2 \u0645\u0627\u062d\u0648\u0644\u06cc\u0627\u062a\u06cc \u0645\u062a\u063a\u06cc\u0631 \u0645\u06cc\u06ba \u0631\u06a9\u06be\u06cc\u06ba\u06d4<\/p>\n<pre><code class=\"language-bash\">export OLLAMA_API_KEY=\"paste-key-here\"\n<\/code><\/pre>\n<h2 id=\"heading-step-2-pull-the-qwen-model\">\u0645\u0631\u062d\u0644\u06c1 2: \u06a9\u06cc\u0648\u06cc\u0646 \u0645\u0627\u0688\u0644 \u06a9\u0648 \u06a9\u06be\u06cc\u0646\u0686\u06cc\u06ba\u06d4<\/h2>\n<p>\u0627\u0633 \u0679\u06cc\u0648\u0679\u0648\u0631\u06cc\u0644 \u0645\u06cc\u06ba \u0627\u0648\u067e\u0646 \u0645\u0627\u0688\u0644 Qwen \u06a9\u0627 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u06cc\u0627 \u06af\u06cc\u0627 \u06c1\u06d2\u060c \u062c\u0648 \u0627\u0633 \u0648\u0642\u062a \u062f\u0633\u062a\u06cc\u0627\u0628 \u0633\u0628 \u0633\u06d2 \u0686\u06be\u0648\u0679\u06d2 \u0633\u0627\u0626\u0632 \u06a9\u06d2 \u0645\u0627\u0688\u0644\u0632 \u0645\u06cc\u06ba \u0633\u06d2 \u0627\u06cc\u06a9 \u06c1\u06d2\u06d4<\/p>\n<p>\u0645\u06cc\u06ba 4 \u0628\u0644\u06cc\u0646 \u067e\u06cc\u0631\u0627\u0645\u06cc\u0679\u0631 \u0648\u06cc\u0631\u06cc\u0646\u0679 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631 \u0631\u06c1\u0627 \u06c1\u0648\u06ba \u06a9\u06cc\u0648\u0646\u06a9\u06c1 \u06cc\u06c1 \u0633\u0679\u0631\u06a9\u0686\u0631\u0688 \u067e\u0631\u0627\u0645\u067e\u0679\u0633 \u06a9\u06cc \u0627\u0686\u06be\u06cc \u0637\u0631\u062d \u067e\u06cc\u0631\u0648\u06cc \u06a9\u0631\u062a\u0627 \u06c1\u06d2 \u0627\u0648\u0631 \u0644\u06cc\u067e \u0679\u0627\u067e \u067e\u0631 \u0628\u063a\u06cc\u0631 \u0648\u0642\u0641 GPU \u06a9\u06d2 \u0686\u0644\u062a\u0627 \u06c1\u06d2\u06d4 \u062f\u0648\u0633\u0631\u06d2 \u0633\u0627\u0626\u0632 \u0628\u06be\u06cc \u06c1\u06cc\u06ba \u062c\u06cc\u0633\u06d2 2b \u06cc\u0627 9b\u06d4<\/p>\n<p>\u0645\u0642\u0627\u0645\u06cc \u0637\u0648\u0631 \u067e\u0631 Qwen3.5:4b \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u0646\u06d2 \u06a9\u06d2 \u0644\u06cc\u06d2\u060c \u0627\u0633\u06d2 \u0627\u0648\u0644\u0627\u0645\u0627 \u06a9\u0627 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u062a\u06d2 \u06c1\u0648\u0626\u06d2 \u0627\u0646\u0633\u0679\u0627\u0644 \u06a9\u0631\u06cc\u06ba\u06d4 \u0645\u06cc\u0631\u06cc \u0645\u0634\u06cc\u0646 \u067e\u0631 4b \u0645\u0627\u0688\u0644 \u06a9\u0627 \u0633\u0627\u0626\u0632 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b 3.4GB \u06c1\u06d2\u06d4 \u0627\u06af\u0631 \u0622\u067e \u06a9\u06d2 \u06a9\u0645\u067e\u06cc\u0648\u0679\u0631 \u06a9\u06cc \u0631\u06cc\u0645 \u06a9\u0645 \u06c1\u06d2 \u062a\u0648 \u0622\u067e 4b \u0645\u0627\u0688\u0644 \u06a9\u06cc \u0628\u062c\u0627\u0626\u06d2 qwen3.5:0.8b \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631 \u0633\u06a9\u062a\u06d2 \u06c1\u06cc\u06ba\u06d4<\/p>\n<pre><code class=\"language-plaintext\">ollama pull qwen3.5:4b\n<\/code><\/pre>\n<h2 id=\"heading-step-3-install-python-dependencies\">\u0645\u0631\u062d\u0644\u06c1 3: \u0627\u0632\u06af\u0631 \u067e\u0631 \u0627\u0646\u062d\u0635\u0627\u0631 \u0627\u0646\u0633\u0679\u0627\u0644 \u06a9\u0631\u06cc\u06ba\u06d4<\/h2>\n<pre><code class=\"language-bash\">python3 -m venv venv\nsource venv\/bin\/activate\npip install ollama requests beautifulsoup4\n<\/code><\/pre>\n<h2 id=\"heading-step-4-write-the-agent-code\">\u0645\u0631\u062d\u0644\u06c1 4: \u0627\u06cc\u062c\u0646\u0679 \u06a9\u0648\u0688 \u0644\u06a9\u06be\u06cc\u06ba\u06d4<\/h2>\n<p>\u0646\u06cc\u0686\u06d2 \u062f\u06cc\u0627 \u06af\u06cc\u0627 Python \u06a9\u0648\u0688 \u0686\u0627\u0631 \u06a9\u0627\u0645 \u06a9\u0631\u062a\u0627 \u06c1\u06d2: \u06cc\u06c1 \u0679\u0631\u0645\u06cc\u0646\u0644 \u0633\u06d2 \u0631\u06cc\u0633\u0631\u0686 \u067e\u0631\u0627\u0645\u067e\u0679\u0633 \u06a9\u06be\u06cc\u0646\u0686\u062a\u0627 \u06c1\u06d2\u060c \u0627\u0648\u067e\u0631 \u067e\u0627\u0646\u0686 \u0646\u062a\u0627\u0626\u062c \u06a9\u06d2 \u0644\u06cc\u06d2 Ollama&#8217;s web search API \u06a9\u0648 \u06a9\u0627\u0644 \u06a9\u0631\u062a\u0627 \u06c1\u06d2\u060c \u062f\u0631\u062e\u0648\u0627\u0633\u062a\u0648\u06ba \u06a9\u0627 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u062a\u06d2 \u06c1\u0648\u0626\u06d2 \u0648\u06cc\u0628 \u0635\u0641\u062d\u0627\u062a \u06a9\u0648 \u0688\u0627\u0624\u0646 \u0644\u0648\u0688 \u06a9\u0631\u062a\u0627 \u06c1\u06d2\u060c BeautifulSoup \u06a9\u0627 \u0627\u0633\u062a\u0639\u0645\u0627\u0644 \u06a9\u0631\u062a\u06d2 \u06c1\u0648\u0626\u06d2 \u06c1\u0631 \u0635\u0641\u062d\u06d2 \u067e\u0631 \u0645\u062a\u0646 \u06a9\u0648 \u0635\u0627\u0641 \u06a9\u0631\u062a\u0627 \u06c1\u06d2\u060c \u0627\u0648\u0631 \u067e\u06be\u0631 \u06c1\u0631 \u0686\u06cc\u0632 \u06a9\u0648 \u0627\u06cc\u06a9 \u0645\u0642\u0627\u0645\u06cc Qwen \u0645\u0627\u0688\u0644 \u06a9\u0648 \u0628\u06be\u06cc\u062c\u062a\u0627 \u06c1\u06d2 \u062a\u0627\u06a9\u06c1 \u0627\u0633\u06d2 Markdown \u0645\u06cc\u06ba \u062e\u0644\u0627\u0635\u06c1 \u06a9\u0631\u0646\u06d2 \u06a9\u06cc \u06c1\u062f\u0627\u06cc\u0627\u062a \u062f\u06cc\u06ba\u06d4 \u0622\u062e\u0631 \u0645\u06cc\u06ba\u060c \u0646\u062a\u0627\u0626\u062c \u06a9\u0648 \u0679\u0627\u0626\u0645 \u0627\u0633\u0679\u06cc\u0645\u067e\u0688 .md \u0641\u0627\u0626\u0644 \u0645\u06cc\u06ba \u0645\u062d\u0641\u0648\u0638 \u06a9\u0631\u06cc\u06ba\u06d4<\/p>\n<p>\u06a9\u0648\u0688 \u06a9\u0648 research_agent.py \u0641\u0627\u0626\u0644 \u0645\u06cc\u06ba \u0645\u062d\u0641\u0648\u0638 \u06a9\u0631\u06cc\u06ba\u06d4<\/p>\n<p>\u062e\u0644\u0627\u0635\u06c1 \u06a9\u0627 \u0627\u0634\u0627\u0631\u06c1 \u062c\u0627\u0646 \u0628\u0648\u062c\u06be \u06a9\u0631 \u0628\u0646\u06cc\u0627\u062f\u06cc \u06c1\u06d2\u06d4 \u0627\u0633\u06d2 \u0627\u067e\u0646\u06cc \u0645\u0637\u0644\u0648\u0628\u06c1 \u0622\u0624\u0679 \u067e\u0679 \u0642\u0633\u0645 \u06a9\u06d2 \u0645\u0637\u0627\u0628\u0642 \u06a9\u0631\u0646\u06d2 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0628\u0644\u0627 \u062c\u06be\u062c\u06be\u06a9 \u0627\u06cc\u0688\u062c\u0633\u0679 \u06a9\u0631\u06cc\u06ba\u06d4<\/p>\n<pre><code class=\"language-python\">import os\nimport json\nimport requests\nimport ollama\nfrom bs4 import BeautifulSoup\nfrom datetime import datetime\nfrom pathlib import Path\n\nAPI_KEY = os.getenv(\"OLLAMA_API_KEY\")\nSEARCH_URL = \"https:\/\/ollama.com\/api\/web_search\"\nMODEL = \"qwen3.5:4b\"\n\n# Search web using Ollama web search \ndef search_web(query):\n    response = requests.post(\n        SEARCH_URL,\n        headers={\"Authorization\": f\"Bearer {API_KEY}\"},\n        json={\"query\": query, \"max_results\": 5},\n        timeout=30,\n    )\n    response.raise_for_status()\n    return response.json().get(\"results\", [])\n\n# Fetch full web page content\ndef fetch_text(url):\n    try:\n        response = requests.get(url, timeout=10)\n        response.raise_for_status()\n    except requests.RequestException as e:\n        return \"\"\n    soup = BeautifulSoup(response.text, \"html.parser\")\n    for tag in soup([\"script\", \"style\", \"nav\", \"footer\"]):\n        tag.decompose()\n    return soup.get_text(separator=\"n\", strip=True)\n\n\ndef main():\n    user_prompt = input(\"Enter your prompt: \").strip()\n    if not user_prompt:\n        print(\"Prompt cannot be empty.\")\n        return\n\n    results = search_web(user_prompt)\n\n    # For each url in web search result, fetch full content\n    pages = []\n    for item in results:\n        url = item.get(\"url\")\n        if not url:\n            continue\n\n        print(f\"Fetching: {url}\")\n        page_text = fetch_text(url)\n\n        pages.append({\n            \"title\": item.get(\"title\", \"\"),\n            \"url\": url,\n            \"snippet\": item.get(\"content\", \"\"),\n            \"page_text\": page_text,\n        })\n\n    # Prompt to send to Qwen model with web data\n    prompt = f\"\"\"\n    User request:\n    {user_prompt}\n\n    Use these web results and page contents to answer in markdown format.\n\n    Data:\n    {json.dumps(pages, ensure_ascii=False)}\n    \"\"\"\n\n    # Invoke local Qwen model \n    response = ollama.chat(\n        model=MODEL,\n        messages=[{\"role\": \"user\", \"content\": prompt}],\n    )\n\n    digest = response.message.content\n\n    # Build a unique filename using today's date and time\n    timestamp = datetime.now().strftime(\"%Y-%m-%d_%H-%M-%S\")\n    filename = f\"digest-{timestamp}.md\"\n\n    # Save the digest to disk\n    with open(filename, \"w\") as f:\n        f.write(digest)\n    \n    print(f\"Saved to digest\")\n\nif __name__ == \"__main__\":\n    main()\n<\/code><\/pre>\n<h2 id=\"heading-step-5-run-the-agent\">\u0645\u0631\u062d\u0644\u06c1 5: \u0627\u06cc\u062c\u0646\u0679 \u06a9\u0648 \u0686\u0644\u0627\u0626\u06cc\u06ba\u06d4<\/h2>\n<pre><code class=\"language-plaintext\">python research_agent.py\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u067e\u0679 \u0622\u067e \u06a9\u0648 \u0627\u0633 \u0645\u0648\u0636\u0648\u0639 \u0645\u06cc\u06ba 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\u0632\u06cc\u0627\u062f\u06c1 \u0641\u0631\u06cc\u0628 \u06c1\u0648\u062a\u06d2 \u06c1\u06cc\u06ba\u06d4 \u0644\u06c1\u0630\u0627\u060c \u0633\u0627\u0626\u0679 \u067e\u0631 \u0645\u0639\u0627\u0626\u0646\u06c1 \u062f\u0631\u0633\u062a\u06af\u06cc \u06a9\u0648 \u0628\u0691\u06be\u0627\u0646\u06d2 \u0645\u06cc\u06ba \u0645\u062f\u062f \u06a9\u0631\u0633\u06a9\u062a\u0627 \u06c1\u06d2\u06d4<\/p>\n<p>\u0679\u06cc\u0633\u0679 \u0631\u0646 \u06a9\u06d2 \u0637\u0648\u0631 \u067e\u0631\u060c \u0645\u06cc\u06ba \u0646\u06d2 \u0627\u06cc\u06a9 \u0631\u06cc\u0633\u0631\u0686 \u0627\u06cc\u062c\u0646\u0679 \u0633\u06d2 \u067e\u0648\u0686\u06be\u0627 &quot;LLM \u0645\u06cc\u06ba \u0646\u06cc\u0627 \u06a9\u06cc\u0627 \u06c1\u06d2&#8221; \u0627\u0648\u0631 \u067e\u0627\u0646\u0686 \u0648\u06cc\u0628 \u0635\u0641\u062d\u0627\u062a \u062d\u0627\u0635\u0644 \u06a9\u06cc\u06d2\u060c \u062c\u06cc\u0633\u0627 \u06a9\u06c1 \u0630\u06cc\u0644 \u0645\u06cc\u06ba \u062f\u06a9\u06be\u0627\u06cc\u0627 \u06af\u06cc\u0627 \u06c1\u06d2\u06d4<\/p>\n<pre><code class=\"language-plaintext\">Enter your prompt: What's new in LLMs\nFetching: https:\/\/openai.com\/nl-NL\/index\/chatgpt-memory-dreaming\/\nFetching: https:\/\/pub.towardsai.net\/tai-210-glm-5-2-closes-most-of-the-open-weight-gap-in-ten-weeks-2f970c5f1326\nFetching: https:\/\/www.globenewswire.com\/news-release\/2026\/06\/23\/3315999\/0\/en\/Multiverse-Computing-Launches-Pulsar-16B-in-collaboration-with-NVIDIA-Frontier-Grade-Reasoning-at-Half-the-Parameters.html\nFetching: https:\/\/thenextweb.com\/news\/anthropic-claude-tag-slack-always-on-ai-teammate\nFetching: https:\/\/www.aidoers.io\/blog\/claude-mythos-5-and-fable-5-explained-what-anthropic-actually-shipped\n\nSaved to digest\n<\/code><\/pre>\n<p>\u0688\u0627\u0626\u062c\u0633\u0679 \u06a9\u0648 4B \u0645\u0642\u0627\u0645\u06cc \u0645\u0627\u0688\u0644 \u06a9\u06d2 \u0644\u06cc\u06d2 \u0645\u0639\u0642\u0648\u0644 \u062d\u062f \u062a\u06a9 \u0627\u0686\u06be\u06cc \u0637\u0631\u062d \u0633\u06d2 \u0628\u0646\u0627\u06cc\u0627 \u06af\u06cc\u0627 \u067e\u0627\u06cc\u0627 \u06af\u06cc\u0627\u06d4 \u0627\u0633\u06d2 \u062d\u0635\u0648\u06ba \u0645\u06cc\u06ba \u062a\u0631\u062a\u06cc\u0628 \u062f\u06cc\u0627 \u06af\u06cc\u0627 \u06c1\u06d2 \u062c\u0633 \u0645\u06cc\u06ba \u0645\u0627\u062e\u0630 \u0633\u06d2 \u062a\u0645\u0627\u0645 \u0645\u062a\u0639\u0644\u0642\u06c1 \u0688\u06cc\u0679\u0627 \u0645\u0648\u062c\u0648\u062f \u06c1\u06d2\u06d4 \u0645\u06cc\u06ba \u0646\u06d2 \u062e\u0648\u062f \u062e\u0644\u0627\u0635\u06c1 \u0686\u06cc\u06a9 \u06a9\u06cc\u0627 \u0627\u0648\u0631 \u0627\u0633\u06d2 \u062f\u0631\u0633\u062a \u067e\u0627\u06cc\u0627\u06d4<\/p>\n<p>\u0646\u062a\u0627\u0626\u062c \u062f\u0631\u062c \u0630\u06cc\u0644 \u06c1\u06cc\u06ba:<\/p>\n<pre><code class=\"language-plaintext\"># What's New in LLMs (June 2026)\n\nThe landscape of Large Language Models (LLMs) has evolved rapidly in June 2026, with significant updates in memory synthesis, new frontier models, enterprise integrations, and market dynamics.\n\n## 1. Memory & Personalization: OpenAI\u2019s \"Dreaming\" Update\nOpenAI has deployed a new memory architecture for ChatGPT, referred to as **Dreaming V3**.\n*   **Purpose:** Improves memory synthesis to optimize freshness, continuity, and relevance.\n*   **Evolution:**\n    *   **2024:** \"Saved memories\" (manual instruction-based).\n    *   **2025:** \"Dreaming V0\" (background process curating memories from chat history).\n    *   **2026:** **Dreaming V3** (significantly more capable and compute-efficient architecture).\n*   **Impact:** Memory is now reviewable via a summary page, allowing users to update information and set instructions on topics to bring up.\n*   **Availability:** Rolled out to ChatGPT Plus and Pro users in the US today, expanding to additional countries and Free\/Go users over coming weeks.\n*   **Capability:** The model now remembers specific user setups (e.g., photography gear preferences) and constraints (e.g., vegetarian diet, hotel AC preferences) without requiring explicit \"remember\" cues.\n\n## 2. New Frontier Models & Benchmarks\n\n### Claude Fable 5 & Mythos 5 (Anthropic)\n*   **Classification:** Mythos-class tier, sitting above Opus in raw capability.\n*   **Differentiation:** **Fable 5** is available to the public. **Mythos 5** is the identical model with cybersecurity safeguards removed, restricted to **Project Glasswing** partners only.\n*   **Pricing:** (10 per million input tokens \/ )50 per million output tokens.\n*   **Availability:** Included at no extra cost on Pro, Max, Team, and enterprise plans until June 22.\n*   **Capabilities:** Significant jumps in **Knowledge work**, **Agentic coding**, **Vision**, **Legal reasoning**, and **Biology**.\n\n### Z.ai GLM-5.2 (Open Weights)\n*   **Release:** Z.ai (Z.AI) released GLM-5.2 under an MIT license on June 16, 2026.\n*   **Performance:** Closed the open-weight gap in ten weeks. Scored **51** on the Artificial Analysis Intelligence Index.\n    *   **Context:** Expanded from 200K to **1 million tokens**.\n    *   **Architecture:** Utilizes \"IndexShare\" for long-context efficiency and \"Compaction-aware reinforcement learning\" for agents.\n*   **Benchmarks:** Ranked third on the AA-Briefcase (91 held-out tasks), behind Fable and Opus 4.8 but ahead of GPT-5.5.\n*   **Cost:** ~(0.52 per task (compared to )0.86 for GPT-5.5 and $1.80 for Opus 4.8).\n\n### Multiverse Pulsar 16B (NVIDIA Collaboration)\n*   **Parameters:** 16.15B total parameters (3.1B active).\n*   **Performance:** Delivers 30B-class intelligence at half the parameter count.\n*   **Validation:** Matches 30B-class architectures (e.g., Nemotron-3-Nano-30B-A3B) on reasoning, coding, and math.\n*   **Deployment:** Available on Hugging Face under Apache 2.0 license. Optimized for lower-memory GPUs and single-node environments.\n\n## 3. Enterprise Integration & Tools\n\n*   **Claude Tag (Anthropic):**\n    *   An \"always-on AI teammate\" available to **Claude Enterprise and Team** customers.\n    *   **Features:** Lives inside Slack, follows conversations, learns context, and uses an **ambient mode** to proactively flag updates and tasks.\n    *   **Scoping:** Identity-based permissions allow admins to restrict which channels\/teams the AI can access.\n*   **MCP Connectors (Anthropic):**\n    *   Launched **Enterprise-Managed Authorization (EMA)**.\n    *   Allows IT admins to provision connector access via identity providers (Okta) without individual OAuth flows.\n*   **Perplexity Brain (Computer Agent):**\n    *   Research preview for Max\/Enterprise Max subscribers.\n    *   Self-improving memory system that remembers what the agent *did* rather than user preferences.\n    *   Results show 25% increase in answer correctness on repeated tasks.\n\n## 4. Industry Trends & Personnel Moves\n\n*   **Market Dynamics:** ChatGPT market share dropped below 50% (46.4% by May 2026). Claude leads in subscription conversion (13%).\n*   **Talent Shifts:**\n    *   **Noam Shazeer:** Co-inventor of Transformer (Google) joins OpenAI as Lead for Architecture Research.\n    *   **John Jumper:** Nobel Laureate (DeepMind) joins Anthropic for AI-for-science infrastructure.\n*   **Corporate M&A:**\n    *   **SpaceX** acquires **Cursor** (Anysphere) for **$60 Billion** in a Q3 2026 deal to strengthen its AI coding division.\n    *   **Alibaba** released the **Qwen-Robot Suite** (Qwen-RobotNav, Manip, World) for embodied intelligence and robotic control.\n<\/code><\/pre>\n<h2 id=\"heading-conclusion\">\u0646\u062a\u06cc\u062c\u06c1<\/h2>\n<p>\u0627\u0633 \u0679\u06cc\u0648\u0679\u0648\u0631\u06cc\u0644 \u0645\u06cc\u06ba\u060c \u0622\u067e \u0646\u06d2 \u0627\u06cc\u06a9 \u0630\u0627\u062a\u06cc AI \u0648\u06cc\u0628 \u0631\u06cc\u0633\u0631\u0686 \u0627\u06cc\u062c\u0646\u0679 \u0628\u0646\u0627\u0646\u06d2 \u06a9\u0627 \u0637\u0631\u06cc\u0642\u06c1 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