diff --git "a/dynamic_feed.json" "b/dynamic_feed.json"
--- "a/dynamic_feed.json"
+++ "b/dynamic_feed.json"
@@ -1,24 +1,24 @@
 {
- "generated_at": "2026-05-30T15:00:56.097815+00:00",
+ "generated_at": "2026-05-30T15:18:58.436729+00:00",
  "license": "CC-BY-4.0 (attribution to https://dynamicfeed.ai)",
  "models": [
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-   "provider": "openai",
-   "model_id": "gpt-5-nano",
-   "display_name": "gpt-5-nano",
+   "id": 1211,
+   "provider": "groq",
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+   "display_name": "gemma-7b-it",
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-   "cached_input_per_1m": 0.005,
-   "context_window": 272000,
-   "max_output_tokens": 128000,
-   "modalities": "text,image",
+   "output_per_1m": 0.08,
+   "cached_input_per_1m": null,
+   "context_window": 8192,
+   "max_output_tokens": 8192,
+   "modalities": "text",
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-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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@@ -36,13 +36,13 @@
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    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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+   "id": 153,
    "provider": "openai",
-   "model_id": "gpt-5-nano-2025-08-07",
-   "display_name": "gpt-5-nano-2025-08-07",
+   "model_id": "gpt-5-nano",
+   "display_name": "gpt-5-nano",
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    "output_per_1m": 0.4,
    "cached_input_per_1m": 0.005,
@@ -54,31 +54,31 @@
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "id": 1211,
-   "provider": "groq",
-   "model_id": "gemma-7b-it",
-   "display_name": "gemma-7b-it",
+   "id": 154,
+   "provider": "openai",
+   "model_id": "gpt-5-nano-2025-08-07",
+   "display_name": "gpt-5-nano-2025-08-07",
    "input_per_1m": 0.05,
-   "output_per_1m": 0.08,
-   "cached_input_per_1m": null,
-   "context_window": 8192,
-   "max_output_tokens": 8192,
-   "modalities": "text",
+   "output_per_1m": 0.4,
+   "cached_input_per_1m": 0.005,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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+   "id": 1252,
    "provider": "mistral",
-   "model_id": "mistral-small-latest",
-   "display_name": "mistral-small-latest",
+   "model_id": "mistral-small-3-2-2506",
+   "display_name": "mistral-small-3-2-2506",
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    "output_per_1m": 0.18,
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@@ -90,13 +90,13 @@
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    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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+   "id": 1251,
    "provider": "mistral",
-   "model_id": "mistral-small-3-2-2506",
-   "display_name": "mistral-small-3-2-2506",
+   "model_id": "mistral-small-latest",
+   "display_name": "mistral-small-latest",
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@@ -108,25 +108,25 @@
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "provider": "groq",
-   "model_id": "gpt-oss-20b",
-   "display_name": "gpt-oss-20b",
+   "id": 1317,
+   "provider": "google",
+   "model_id": "gemini-2.0-flash-lite-001",
+   "display_name": "gemini-2.0-flash-lite-001",
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-   "cached_input_per_1m": 0.0375,
-   "context_window": 131072,
-   "max_output_tokens": 32768,
-   "modalities": "text",
+   "cached_input_per_1m": 0.0187,
+   "context_window": 1048576,
+   "max_output_tokens": 8192,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
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    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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@@ -144,25 +144,25 @@
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "provider": "google",
-   "model_id": "gemini-2.0-flash-lite-001",
-   "display_name": "gemini-2.0-flash-lite-001",
+   "id": 1217,
+   "provider": "groq",
+   "model_id": "gpt-oss-20b",
+   "display_name": "gpt-oss-20b",
    "input_per_1m": 0.075,
    "output_per_1m": 0.3,
-   "cached_input_per_1m": 0.0187,
-   "context_window": 1048576,
-   "max_output_tokens": 8192,
-   "modalities": "text,image",
+   "cached_input_per_1m": 0.0375,
+   "context_window": 131072,
+   "max_output_tokens": 32768,
+   "modalities": "text",
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-   "supports_vision": true,
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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@@ -180,25 +180,7 @@
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-  },
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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@@ -216,31 +198,31 @@
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+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "model_id": "gemini-2.5-flash-lite-preview-09-2025",
-   "display_name": "gemini-2.5-flash-lite-preview-09-2025",
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+   "provider": "mistral",
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+   "cached_input_per_1m": null,
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+   "modalities": "text",
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "model_id": "labs-devstral-small-2512",
-   "display_name": "labs-devstral-small-2512",
+   "model_id": "devstral-small-latest",
+   "display_name": "devstral-small-latest",
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@@ -252,16 +234,16 @@
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-   "display_name": "gemini-2.5-flash-lite",
+   "model_id": "gemini-2.5-flash-lite-preview-06-17",
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@@ -270,67 +252,49 @@
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-   "model_id": "mistral-small",
-   "display_name": "mistral-small",
+   "model_id": "ministral-3-3b-2512",
+   "display_name": "ministral-3-3b-2512",
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-   "context_window": 1048576,
-   "max_output_tokens": 8192,
-   "modalities": "text,image,audio",
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+   "max_output_tokens": 131072,
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
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-   "provider": "google",
-   "model_id": "gemini-2.0-flash-001",
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+   "provider": "openai",
+   "model_id": "gpt-4.1-nano-2025-04-14",
+   "display_name": "gpt-4.1-nano-2025-04-14",
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
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-   "model_id": "devstral-small-2507",
-   "display_name": "devstral-small-2507",
+   "model_id": "devstral-small-2505",
+   "display_name": "devstral-small-2505",
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@@ -342,13 +306,13 @@
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
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-   "model_id": "devstral-small-2505",
-   "display_name": "devstral-small-2505",
+   "model_id": "devstral-small-2507",
+   "display_name": "devstral-small-2507",
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@@ -360,34 +324,34 @@
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-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
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-   "model_id": "gemini-2.5-flash-lite-preview-06-17",
-   "display_name": "gemini-2.5-flash-lite-preview-06-17",
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+   "output_per_1m": 60.0,
+   "cached_input_per_1m": 7.5,
    "context_window": 200000,
-   "max_output_tokens": 32000,
+   "max_output_tokens": 100000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   },
   {
-   "id": 29,
-   "provider": "anthropic",
-   "model_id": "claude-opus-4-1-20250805",
-   "display_name": "claude-opus-4-1-20250805",
+   "id": 219,
+   "provider": "openai",
+   "model_id": "o1-2024-12-17",
+   "display_name": "o1-2024-12-17",
    "input_per_1m": 15.0,
-   "output_per_1m": 75.0,
-   "cached_input_per_1m": 1.5,
+   "output_per_1m": 60.0,
+   "cached_input_per_1m": 7.5,
    "context_window": 200000,
-   "max_output_tokens": 32000,
+   "max_output_tokens": 100000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   },
   {
-   "id": 94,
+   "id": 51,
    "provider": "openai",
-   "model_id": "gpt-4-0314",
-   "display_name": "gpt-4-0314",
+   "model_id": "ft:gpt-4-0613",
+   "display_name": "ft:gpt-4-0613",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
    "context_window": 8192,
    "max_output_tokens": 4096,
    "modalities": "text",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   },
   {
    "id": 95,
@@ -4464,13 +4464,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   },
   {
-   "id": 51,
+   "id": 92,
    "provider": "openai",
-   "model_id": "ft:gpt-4-0613",
-   "display_name": "ft:gpt-4-0613",
+   "model_id": "gpt-4",
+   "display_name": "gpt-4",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
@@ -4482,25 +4482,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   },
   {
-   "id": 92,
+   "id": 94,
    "provider": "openai",
-   "model_id": "gpt-4",
-   "display_name": "gpt-4",
+   "model_id": "gpt-4-0314",
+   "display_name": "gpt-4-0314",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
    "context_window": 8192,
    "max_output_tokens": 4096,
    "modalities": "text",
-   "supports_tools": true,
+   "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-30T14:58:21.820538+00:00"
+   "updated_at": "2026-05-30T15:16:24.207639+00:00"
   }
  ],
  "mcp_servers": [
@@ -8514,7 +8514,7 @@
    "indicator": "minor",
    "description": "Minor Service Outage",
    "operational": false,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 10,
@@ -8524,7 +8524,7 @@
    "indicator": "minor",
    "description": "Partially Degraded Service",
    "operational": false,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 2,
@@ -8534,7 +8534,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 11,
@@ -8544,7 +8544,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 6,
@@ -8554,7 +8554,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 3,
@@ -8564,7 +8564,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 5,
@@ -8574,7 +8574,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 1,
@@ -8584,7 +8584,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 7,
@@ -8594,7 +8594,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 9,
@@ -8604,7 +8604,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   },
   {
    "id": 8,
@@ -8614,7 +8614,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-30T14:58:13.713514+00:00"
+   "updated_at": "2026-05-30T15:16:15.592338+00:00"
   }
  ],
  "ai_news": [
@@ -8625,7 +8625,7 @@
    "source": "AWS ML",
    "summary": "This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI endpoints with inference components.",
    "published_at": "2026-05-29T23:36:58+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 16,
@@ -8634,7 +8634,7 @@
    "source": "Google AI",
    "summary": "We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.",
    "published_at": "2026-05-29T19:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 17,
@@ -8643,16 +8643,7 @@
    "source": "Google AI",
    "summary": "Gemini Omni & Gemini 3.5 hero",
    "published_at": "2026-05-29T17:30:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 18,
-   "url": "https://blog.google/innovation-and-ai/technology/ai/university-waterloo-labs/",
-   "title": "Check out real-life AI prototypes from the Futures Lab.",
-   "source": "Google AI",
-   "summary": "University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.",
-   "published_at": "2026-05-29T12:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 1,
@@ -8661,7 +8652,7 @@
    "source": "OpenAI",
    "summary": "Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.",
    "published_at": "2026-05-29T12:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 2,
@@ -8670,7 +8661,16 @@
    "source": "OpenAI",
    "summary": "How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.",
    "published_at": "2026-05-29T12:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 18,
+   "url": "https://blog.google/innovation-and-ai/technology/ai/university-waterloo-labs/",
+   "title": "Check out real-life AI prototypes from the Futures Lab.",
+   "source": "Google AI",
+   "summary": "University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.",
+   "published_at": "2026-05-29T12:00:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 86,
@@ -8679,7 +8679,7 @@
    "source": "Simon Willison",
    "summary": "Release: datasette 1.0a31 Another significant alpha release, with two new headline features. Datasette now offers users with the necessary permissions the ability to both execute write queries against their database and to save stored queries (renamed from \"canned queries\") both ",
    "published_at": "2026-05-29T03:32:02+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 3,
@@ -8688,7 +8688,7 @@
    "source": "OpenAI",
    "summary": "OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.",
    "published_at": "2026-05-29T03:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 87,
@@ -8697,7 +8697,7 @@
    "source": "Simon Willison",
    "summary": "The most interesting thing about Anthropic's $65B Series H announcement is this line (emphasis mine): Since our Series G in February, adoption has continued to grow across global enterprise customers, and our run-rate revenue crossed $47 billion earlier this month. Anthropic have",
    "published_at": "2026-05-29T01:23:08+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 4,
@@ -8706,7 +8706,7 @@
    "source": "OpenAI",
    "summary": "OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.",
    "published_at": "2026-05-29T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 46,
@@ -8715,7 +8715,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-29T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 88,
@@ -8724,7 +8724,7 @@
    "source": "Simon Willison",
    "summary": "Anthropic shipped Claude Opus 4.8 today. My favourite thing about it is this note in the release announcement: Users will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that",
    "published_at": "2026-05-28T23:59:50+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 89,
@@ -8733,7 +8733,7 @@
    "source": "Simon Willison",
    "summary": "Release: llm-anthropic 0.25.1 New model: Claude Opus 4.8 (claude-opus-4.8). New -o fast 1 option for fast mode, for organizations with that feature enabled on their account. Default max_tokens for each model now defaults to that model's maximum output rather than 8,192. #72 See a",
    "published_at": "2026-05-28T23:54:56+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 62,
@@ -8742,7 +8742,7 @@
    "source": "AWS ML",
    "summary": "Azercell Telecom LLC, Azerbaijan's leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich ",
    "published_at": "2026-05-28T21:54:06+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 63,
@@ -8751,7 +8751,7 @@
    "source": "AWS ML",
    "summary": "In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, deploy the entire stac",
    "published_at": "2026-05-28T20:39:22+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 64,
@@ -8760,7 +8760,7 @@
    "source": "AWS ML",
    "summary": "In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML wo",
    "published_at": "2026-05-28T20:35:44+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 65,
@@ -8769,7 +8769,7 @@
    "source": "AWS ML",
    "summary": "This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1) apply five evaluation patterns for deep agents, 2) build offline evaluations usin",
    "published_at": "2026-05-28T20:32:23+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 90,
@@ -8778,7 +8778,7 @@
    "source": "Simon Willison",
    "summary": "Tool: markdown-svg-renderer A slightly customized Markdown rendering tool with special treatment for fenced code SVG blocks - it both renders the image and provides a tab for switching to the code view. You can paste in Markdown or give it a URL to a CORS-enabled Markdown file or",
    "published_at": "2026-05-28T19:45:14+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 66,
@@ -8787,7 +8787,7 @@
    "source": "AWS ML",
    "summary": "Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic. Managing test cases for evaluation ba",
    "published_at": "2026-05-28T18:10:47+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 67,
@@ -8796,7 +8796,7 @@
    "source": "AWS ML",
    "summary": "This post covers Opus 4.8's improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock.",
    "published_at": "2026-05-28T17:51:32+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 68,
@@ -8805,7 +8805,7 @@
    "source": "AWS ML",
    "summary": "This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon ",
    "published_at": "2026-05-28T16:41:07+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 19,
@@ -8814,7 +8814,7 @@
    "source": "Google AI",
    "summary": "The colorful I/O logo against a black background, surrounded by stills from the I/O keynote",
    "published_at": "2026-05-28T15:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 5,
@@ -8823,7 +8823,7 @@
    "source": "OpenAI",
    "summary": "Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.",
    "published_at": "2026-05-28T12:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 7,
@@ -8832,7 +8832,7 @@
    "source": "OpenAI",
    "summary": "MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale.",
    "published_at": "2026-05-28T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 6,
@@ -8841,7 +8841,7 @@
    "source": "OpenAI",
    "summary": "Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.",
    "published_at": "2026-05-28T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 91,
@@ -8850,7 +8850,7 @@
    "source": "Simon Willison",
    "summary": "sqlite AGENTS.md SQLite gained an AGENTS.md file five days ago - but it's not intended for their own development, it's presumably aimed at people who are pointing agents at the SQLite codebase. It includes: SQLite does not accept pull requests without prior agreement and/or accom",
    "published_at": "2026-05-27T23:44:37+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 69,
@@ -8859,7 +8859,7 @@
    "source": "AWS ML",
    "summary": "In this post, we explore how Amazon Bedrock Data Automation can accurately extract information from four common types of financial documents: bank statements, W-2 forms, 1099-B tax forms, and vendor contracts. We highlight the complexity in the documents, detail the custom extrac",
    "published_at": "2026-05-27T21:28:53+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 70,
@@ -8868,7 +8868,7 @@
    "source": "AWS ML",
    "summary": "In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while impro",
    "published_at": "2026-05-27T20:06:34+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 71,
@@ -8877,7 +8877,7 @@
    "source": "AWS ML",
    "summary": "In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. We walk you through the architectural decisions, implementation challenges, and measurable results t",
    "published_at": "2026-05-27T20:01:06+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 72,
@@ -8886,7 +8886,7 @@
    "source": "AWS ML",
    "summary": "In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organization. You will learn about: the two-layer architecture that separates batch processing from real-",
    "published_at": "2026-05-27T18:51:45+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 73,
@@ -8895,7 +8895,7 @@
    "source": "AWS ML",
    "summary": "As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, users carry the cognitive load of choosing between them. At AWS Sales, this meant more than 20 domain-sp",
    "published_at": "2026-05-27T18:00:07+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 47,
@@ -8904,7 +8904,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-27T17:20:29+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 92,
@@ -8913,7 +8913,7 @@
    "source": "Simon Willison",
    "summary": "Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by their staff. I think this is because OpenAI and Anthropic have both found product-market f",
    "published_at": "2026-05-27T16:38:35+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 8,
@@ -8922,7 +8922,7 @@
    "source": "OpenAI",
    "summary": "Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.",
    "published_at": "2026-05-27T11:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 9,
@@ -8931,7 +8931,7 @@
    "source": "OpenAI",
    "summary": "See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.",
    "published_at": "2026-05-27T07:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 93,
@@ -8940,25 +8940,7 @@
    "source": "Simon Willison",
    "summary": "PICARD: Data, shields up DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy. [camera shakes] WORF: HULL BREACHES ON NINE DECKS DATA: Here's what happened: you told me to raise shields, and I didn't &md",
    "published_at": "2026-05-27T06:41:43+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 11,
-   "url": "https://openai.com/index/warp",
-   "title": "Warp’s big bet on building open source with GPT-5.5",
-   "source": "OpenAI",
-   "summary": "Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.",
-   "published_at": "2026-05-27T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 49,
-   "url": "https://huggingface.co/blog/delta-weight-sync",
-   "title": "Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL",
-   "source": "Hugging Face",
-   "summary": null,
-   "published_at": "2026-05-27T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 10,
@@ -8967,7 +8949,7 @@
    "source": "OpenAI",
    "summary": "Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency",
    "published_at": "2026-05-27T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 48,
@@ -8976,7 +8958,25 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-27T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 49,
+   "url": "https://huggingface.co/blog/delta-weight-sync",
+   "title": "Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL",
+   "source": "Hugging Face",
+   "summary": null,
+   "published_at": "2026-05-27T00:00:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 11,
+   "url": "https://openai.com/index/warp",
+   "title": "Warp’s big bet on building open source with GPT-5.5",
+   "source": "OpenAI",
+   "summary": "Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.",
+   "published_at": "2026-05-27T00:00:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 94,
@@ -8985,7 +8985,7 @@
    "source": "Simon Willison",
    "summary": "The pressure Daniel Stenberg on the unprecedented level of pressure the curl team are facing right now thanks to the deluge of (credible) AI-assisted security issues being reported. The rate of incoming security reports is 4-5 times higher than it was in 2024 and double the speed",
    "published_at": "2026-05-26T23:48:45+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 74,
@@ -8994,7 +8994,7 @@
    "source": "AWS ML",
    "summary": "Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and config",
    "published_at": "2026-05-26T17:57:18+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 75,
@@ -9003,7 +9003,7 @@
    "source": "AWS ML",
    "summary": "In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.",
    "published_at": "2026-05-26T17:41:26+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 95,
@@ -9012,7 +9012,7 @@
    "source": "Simon Willison",
    "summary": "Microsoft Copilot Cowork Exfiltrates Files The biggest challenge in designing agentic systems continues to be preventing them from enabling attackers to exfiltrate data. In this case Microsoft Copilot Cowork (yes, that's a real product name) was allowing agents to send emails to ",
    "published_at": "2026-05-26T15:36:48+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 96,
@@ -9021,7 +9021,7 @@
    "source": "Simon Willison",
    "summary": "A lot of the emails I get from founders are now written in a hard-hitting journalistic style. I know they're written by AI, because no founder ever wrote this way before. And once you realize something is written by AI, it's hard not to ignore it. I have never knowingly finished ",
    "published_at": "2026-05-26T15:02:30+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 97,
@@ -9030,7 +9030,7 @@
    "source": "Simon Willison",
    "summary": "I cannot believe I'm saying this, but getting the literal Pope to canonize your product's specific technical limitations as a spiritual treatise is the single greatest act of vendor lobbying I have ever seen. — Corey Quinn, on Anthropic co-founder Christopher Olah's influen",
    "published_at": "2026-05-26T02:28:54+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 98,
@@ -9039,7 +9039,7 @@
    "source": "Simon Willison",
    "summary": "Dropped this morning by the Vatican: Magnifica Humanitas of His Holiness Pope Leo XIV on Safeguarding the Human Person in the Time of Artificial Intelligence. This is a very interesting document. It's some of the clearest writing I've seen on the ethics of integrating AI into mod",
    "published_at": "2026-05-25T23:58:17+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 99,
@@ -9048,16 +9048,7 @@
    "source": "Simon Willison",
    "summary": "California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal, in San Mateo County, CA, USWe took our new folding kayak out in the harbor and saw sea lions and harbor seals chilling on the docks.",
    "published_at": "2026-05-25T23:08:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 50,
-   "url": "https://huggingface.co/blog/agent-glossary",
-   "title": "Harness, Scaffold, and the AI Agent Terms Worth Getting Right",
-   "source": "Hugging Face",
-   "summary": null,
-   "published_at": "2026-05-25T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 12,
@@ -9066,7 +9057,16 @@
    "source": "OpenAI",
    "summary": "OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency.",
    "published_at": "2026-05-25T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 50,
+   "url": "https://huggingface.co/blog/agent-glossary",
+   "title": "Harness, Scaffold, and the AI Agent Terms Worth Getting Right",
+   "source": "Hugging Face",
+   "summary": null,
+   "published_at": "2026-05-25T00:00:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 100,
@@ -9075,7 +9075,7 @@
    "source": "Simon Willison",
    "summary": "Release: datasette 1.0a30 The big new feature in this alpha is a new customizable \"Jump to...\" menu, described in detail in The extensible \"Jump to\" menu in Datasette 1.0a30 on the Datasette blog. You can try it out by hitting / on latest.datasette.io - it looks like this: The ne",
    "published_at": "2026-05-24T23:52:37+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 51,
@@ -9084,7 +9084,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-23T00:02:03+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 20,
@@ -9093,7 +9093,7 @@
    "source": "Google AI",
    "summary": "Alphabet CEO Sundar Pichai in conversation on the I/O 2026 Dialogues stage",
    "published_at": "2026-05-22T18:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 52,
@@ -9102,16 +9102,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-22T15:25:59+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 14,
-   "url": "https://openai.com/index/virgin-atlantic",
-   "title": "How Virgin Atlantic ships faster with Codex",
-   "source": "OpenAI",
-   "summary": "How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects.",
-   "published_at": "2026-05-22T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 13,
@@ -9120,7 +9111,16 @@
    "source": "OpenAI",
    "summary": "OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.",
    "published_at": "2026-05-22T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 14,
+   "url": "https://openai.com/index/virgin-atlantic",
+   "title": "How Virgin Atlantic ships faster with Codex",
+   "source": "OpenAI",
+   "summary": "How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects.",
+   "published_at": "2026-05-22T00:00:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 31,
@@ -9129,7 +9129,7 @@
    "source": "Google DeepMind",
    "summary": null,
    "published_at": "2026-05-21T19:46:42+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 15,
@@ -9138,7 +9138,7 @@
    "source": "OpenAI",
    "summary": "AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care.",
    "published_at": "2026-05-21T12:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 21,
@@ -9147,7 +9147,7 @@
    "source": "Google AI",
    "summary": "We’re helping build the state’s next-generation workforce and investing in energy programs.",
    "published_at": "2026-05-20T20:40:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 22,
@@ -9156,7 +9156,7 @@
    "source": "Google AI",
    "summary": "Image with the words \"Ready, Set, I/O\" and a colorful Gemini logo",
    "published_at": "2026-05-20T19:30:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 23,
@@ -9165,7 +9165,7 @@
    "source": "Google AI",
    "summary": "A small group meeting featuring two in-room participants and three participants on-screen.",
    "published_at": "2026-05-20T16:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 53,
@@ -9174,7 +9174,16 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-19T18:38:09+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 30,
+   "url": "https://blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/",
+   "title": "I/O 2026",
+   "source": "Google AI",
+   "summary": "At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.",
+   "published_at": "2026-05-19T17:45:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 27,
@@ -9183,7 +9192,25 @@
    "source": "Google AI",
    "summary": "Gemini 3.5 text and multi-colored star icon on an abstract blue background.",
    "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 28,
+   "url": "https://blog.google/products-and-platforms/products/search/search-io-2026/",
+   "title": "A new era for AI Search",
+   "source": "Google AI",
+   "summary": "Text that reads \"The best of a search engine with the best of AI\"",
+   "published_at": "2026-05-19T17:45:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
+  },
+  {
+   "id": 29,
+   "url": "https://blog.google/products-and-platforms/products/google-one/google-ai-subscriptions/",
+   "title": "Everything new in our Google AI subscriptions, fresh from I/O 2026",
+   "source": "Google AI",
+   "summary": "The image shows colorful icons. The copy reads: More magic in one plan. More power, more perks, same price.",
+   "published_at": "2026-05-19T17:45:00+00:00",
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 26,
@@ -9192,7 +9219,7 @@
    "source": "Google AI",
    "summary": "a series of colorful icons representing Google I/O against a black background",
    "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 25,
@@ -9201,7 +9228,7 @@
    "source": "Google AI",
    "summary": "Google Workspace",
    "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 24,
@@ -9210,34 +9237,7 @@
    "source": "Google AI",
    "summary": "A graphic features the text \"How people are using AI Mode in the U.S.\" surrounded by colorful, stylized illustrations of a pencil, planet, banana, gift box, cursor, gamepad, and lipstick on a light blue background.",
    "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 30,
-   "url": "https://blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/",
-   "title": "I/O 2026",
-   "source": "Google AI",
-   "summary": "At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.",
-   "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 29,
-   "url": "https://blog.google/products-and-platforms/products/google-one/google-ai-subscriptions/",
-   "title": "Everything new in our Google AI subscriptions, fresh from I/O 2026",
-   "source": "Google AI",
-   "summary": "The image shows colorful icons. The copy reads: More magic in one plan. More power, more perks, same price.",
-   "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
-  },
-  {
-   "id": 28,
-   "url": "https://blog.google/products-and-platforms/products/search/search-io-2026/",
-   "title": "A new era for AI Search",
-   "source": "Google AI",
-   "summary": "Text that reads \"The best of a search engine with the best of AI\"",
-   "published_at": "2026-05-19T17:45:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 54,
@@ -9246,7 +9246,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-19T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 32,
@@ -9255,7 +9255,7 @@
    "source": "Google DeepMind",
    "summary": "Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.",
    "published_at": "2026-05-18T18:21:39+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 55,
@@ -9264,7 +9264,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-18T15:12:46+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 33,
@@ -9273,7 +9273,7 @@
    "source": "Google DeepMind",
    "summary": "We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.",
    "published_at": "2026-05-17T19:53:18+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 34,
@@ -9282,7 +9282,7 @@
    "source": "Google DeepMind",
    "summary": null,
    "published_at": "2026-05-17T19:50:57+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 35,
@@ -9291,7 +9291,7 @@
    "source": "Google DeepMind",
    "summary": null,
    "published_at": "2026-05-17T19:43:45+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 36,
@@ -9300,7 +9300,7 @@
    "source": "Google DeepMind",
    "summary": "A collection of science tools and experiments to expand the scale and precision of scientific exploration.",
    "published_at": "2026-05-17T13:50:34+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 37,
@@ -9309,7 +9309,7 @@
    "source": "Google DeepMind",
    "summary": "We're expanding our tools to help you understand how content was created and edited across the web.",
    "published_at": "2026-05-17T13:43:50+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 38,
@@ -9318,7 +9318,7 @@
    "source": "Google DeepMind",
    "summary": "Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.",
    "published_at": "2026-05-16T09:13:34+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 39,
@@ -9327,7 +9327,7 @@
    "source": "Google DeepMind",
    "summary": "Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.",
    "published_at": "2026-05-16T08:16:06+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 40,
@@ -9336,7 +9336,7 @@
    "source": "Google DeepMind",
    "summary": "Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.",
    "published_at": "2026-05-16T08:08:44+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 41,
@@ -9345,7 +9345,7 @@
    "source": "Google DeepMind",
    "summary": "Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.",
    "published_at": "2026-05-16T08:00:15+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 42,
@@ -9354,7 +9354,7 @@
    "source": "Google DeepMind",
    "summary": "Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.",
    "published_at": "2026-05-16T07:53:11+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 43,
@@ -9363,7 +9363,7 @@
    "source": "Google DeepMind",
    "summary": "Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.",
    "published_at": "2026-05-16T07:40:27+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 44,
@@ -9372,7 +9372,7 @@
    "source": "Google DeepMind",
    "summary": "Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.",
    "published_at": "2026-05-16T03:14:17+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 45,
@@ -9381,7 +9381,7 @@
    "source": "Google DeepMind",
    "summary": "Gemini 3.5 is built to help you execute complex, agentic workflows.",
    "published_at": "2026-05-15T22:50:12+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 56,
@@ -9390,7 +9390,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-14T18:55:01+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 57,
@@ -9399,7 +9399,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-14T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 58,
@@ -9408,7 +9408,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-11T23:18:26+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 59,
@@ -9417,7 +9417,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-06T19:06:55+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 60,
@@ -9426,7 +9426,7 @@
    "source": "Hugging Face",
    "summary": null,
    "published_at": "2026-05-06T00:00:00+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 76,
@@ -9435,7 +9435,7 @@
    "source": "Microsoft AI",
    "summary": "The post A conversation with Kevin Scott: What’s next in AI appeared first on The AI Blog.",
    "published_at": "2022-12-06T17:29:09+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 77,
@@ -9444,7 +9444,7 @@
    "source": "Microsoft AI",
    "summary": "The post From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative appeared first on The AI Blog.",
    "published_at": "2022-10-12T16:00:02+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 78,
@@ -9453,7 +9453,7 @@
    "source": "Microsoft AI",
    "summary": "The post Microsoft open sources its ‘farm of the future’ toolkit appeared first on The AI Blog.",
    "published_at": "2022-10-06T14:58:15+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 79,
@@ -9462,7 +9462,7 @@
    "source": "Microsoft AI",
    "summary": "The post How data and AI will transform contact centres for financial services appeared first on The AI Blog.",
    "published_at": "2022-07-25T14:49:33+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 80,
@@ -9471,7 +9471,7 @@
    "source": "Microsoft AI",
    "summary": "The post AI-equipped drones study dolphins on the edge of extinction appeared first on The AI Blog.",
    "published_at": "2022-07-21T14:50:33+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 81,
@@ -9480,7 +9480,7 @@
    "source": "Microsoft AI",
    "summary": "The post Online math tutoring service uses AI to help boost students’ skills and confidence appeared first on The AI Blog.",
    "published_at": "2022-07-13T12:59:50+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 82,
@@ -9489,7 +9489,7 @@
    "source": "Microsoft AI",
    "summary": "The post AI-Mimi is building inclusive TV experiences for Deaf and Hard of Hearing user in Japan appeared first on The AI Blog.",
    "published_at": "2022-07-06T14:51:23+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 83,
@@ -9498,7 +9498,7 @@
    "source": "Microsoft AI",
    "summary": "The post Microsoft’s framework for building AI systems responsibly appeared first on The AI Blog.",
    "published_at": "2022-06-21T17:50:03+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 84,
@@ -9507,7 +9507,7 @@
    "source": "Microsoft AI",
    "summary": "The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade appeared first on The AI Blog.",
    "published_at": "2022-06-08T21:04:42+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   },
   {
    "id": 85,
@@ -9516,7 +9516,7 @@
    "source": "Microsoft AI",
    "summary": "The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog.",
    "published_at": "2022-05-31T21:06:06+00:00",
-   "updated_at": "2026-05-30T14:59:29.453329+00:00"
+   "updated_at": "2026-05-30T15:16:46.480766+00:00"
   }
  ]
 }
\ No newline at end of file