@svonava
Our Mixture of Experts embeddings enable e-com / travel / marketplace companies to build their own version of this: https://t.co/VQAmdMAoYP
Viewing enriched Twitter post
Our Mixture of Experts embeddings enable e-com / travel / marketplace companies to build their own version of this: https://t.co/VQAmdMAoYP
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1917304285886349331/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "neutral",
"topics": [
"e-commerce",
"travel",
"marketplace"
],
"entities": [],
"summary": "The tweet discusses the use of Mixture of Experts embeddings for companies in e-commerce, travel, and marketplaces.",
"language": "en",
"processed_at": "2025-08-07T12:41:42.372891"
}
} {
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1917304285886349331",
"sortIndex": "1953526972571189248",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1917304285886349331",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo4NDUyMzkyNTQ=",
"rest_id": "845239254",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Sep 25 10:13:41 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "Vector Compute @superlinked - tweets about information retrieval | xYouTube",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "superlinked.com",
"expanded_url": "http://superlinked.com",
"url": "https://t.co/kPc05hBDQN",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 92556,
"followers_count": 1527,
"friends_count": 1269,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 35,
"location": "San Francisco, California",
"media_count": 515,
"name": "Daniel Svonava",
"normal_followers_count": 1527,
"pinned_tweet_ids_str": [
"1757542567552684206"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/845239254/1542204063",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1049578011085950976/SA9VN-n9_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "svonava",
"statuses_count": 4863,
"translator_type": "none",
"url": "https://t.co/kPc05hBDQN",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1917304285886349331"
],
"editable_until_msecs": "1745959538000",
"is_edit_eligible": true,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1560",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 5,
"bookmarked": false,
"created_at": "Tue Apr 29 19:45:38 +0000 2025",
"conversation_id_str": "1917304285886349331",
"display_text_range": [
0,
115
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/VQAmdMAoYP",
"expanded_url": "https://x.com/svonava/status/1917304285886349331/photo/1",
"id_str": "1917304261525860352",
"indices": [
116,
139
],
"media_key": "3_1917304261525860352",
"media_url_https": "https://pbs.twimg.com/media/GpuiEUqXcAAFTrf.jpg",
"type": "photo",
"url": "https://t.co/VQAmdMAoYP",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
},
"medium": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
},
"small": {
"faces": [
{
"x": 20,
"y": 23,
"h": 24,
"w": 24
}
]
},
"orig": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
}
},
"sizes": {
"large": {
"h": 1122,
"w": 1164,
"resize": "fit"
},
"medium": {
"h": 1122,
"w": 1164,
"resize": "fit"
},
"small": {
"h": 655,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1122,
"width": 1164,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1164,
"h": 652
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 984,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 561,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 1164,
"h": 1122
}
]
},
"media_results": {
"result": {
"media_key": "3_1917304261525860352"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/VQAmdMAoYP",
"expanded_url": "https://x.com/svonava/status/1917304285886349331/photo/1",
"id_str": "1917304261525860352",
"indices": [
116,
139
],
"media_key": "3_1917304261525860352",
"media_url_https": "https://pbs.twimg.com/media/GpuiEUqXcAAFTrf.jpg",
"type": "photo",
"url": "https://t.co/VQAmdMAoYP",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
},
"medium": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
},
"small": {
"faces": [
{
"x": 20,
"y": 23,
"h": 24,
"w": 24
}
]
},
"orig": {
"faces": [
{
"x": 35,
"y": 40,
"h": 42,
"w": 42
}
]
}
},
"sizes": {
"large": {
"h": 1122,
"w": 1164,
"resize": "fit"
},
"medium": {
"h": 1122,
"w": 1164,
"resize": "fit"
},
"small": {
"h": 655,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1122,
"width": 1164,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1164,
"h": 652
},
{
"x": 0,
"y": 0,
"w": 1122,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 984,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 561,
"h": 1122
},
{
"x": 0,
"y": 0,
"w": 1164,
"h": 1122
}
]
},
"media_results": {
"result": {
"media_key": "3_1917304261525860352"
}
}
}
]
},
"favorite_count": 7,
"favorited": false,
"full_text": "Our Mixture of Experts embeddings enable e-com / travel / marketplace companies to build their own version of this: https://t.co/VQAmdMAoYP",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "845239254",
"id_str": "1917304285886349331"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1917304823759921333",
"sortIndex": "1953526972571189238",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1917304823759921333-tweet-1917304823759921333",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1917304823759921333",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNTc5MTIxOTcx",
"rest_id": "1579121971",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Jul 09 01:31:18 +0000 2013",
"default_profile": true,
"default_profile_image": false,
"description": "ML and Data. Irony & Humor appreciated.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 2060,
"followers_count": 18,
"friends_count": 260,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 19,
"name": "Scott",
"normal_followers_count": 18,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1878922470725472256/XkGLdsCK_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "MossScottAaron",
"statuses_count": 504,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1917304823759921333"
],
"editable_until_msecs": "1745959666000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "91",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Tue Apr 29 19:47:46 +0000 2025",
"conversation_id_str": "1917304285886349331",
"display_text_range": [
9,
82
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "845239254",
"name": "Daniel Svonava",
"screen_name": "svonava",
"indices": [
0,
8
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@svonava What is the distinction between MoE and having multi-modal embeddings db?",
"in_reply_to_screen_name": "svonava",
"in_reply_to_status_id_str": "1917304285886349331",
"in_reply_to_user_id_str": "845239254",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1579121971",
"id_str": "1917304823759921333"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1917304823759921333-tweet-1917305397477617872",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1917305397477617872",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo4NDUyMzkyNTQ=",
"rest_id": "845239254",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Sep 25 10:13:41 +0000 2012",
"default_profile": false,
"default_profile_image": false,
"description": "Vector Compute @superlinked - tweets about information retrieval | xYouTube",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "superlinked.com",
"expanded_url": "http://superlinked.com",
"url": "https://t.co/kPc05hBDQN",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 92556,
"followers_count": 1527,
"friends_count": 1269,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 35,
"location": "San Francisco, California",
"media_count": 515,
"name": "Daniel Svonava",
"normal_followers_count": 1527,
"pinned_tweet_ids_str": [
"1757542567552684206"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/845239254/1542204063",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1049578011085950976/SA9VN-n9_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "svonava",
"statuses_count": 4863,
"translator_type": "none",
"url": "https://t.co/kPc05hBDQN",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1917305397477617872"
],
"editable_until_msecs": "1745959803000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "105",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MTczMDUzOTczNzI3NTU5Njg=",
"text": "\"Multi-modal embedding\" usually means text+image. \n\nMoE embeddings also eat all the metadata (numbers, timestamps, relations to other objects, categorical info, location info etc etc).\n\nWith MoE embeddings, you integrate signals from metadata into your retrieval properly, not via filters/hybrid search/reranking and other suboptimal workarounds.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Tue Apr 29 19:50:03 +0000 2025",
"conversation_id_str": "1917304285886349331",
"display_text_range": [
16,
297
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1579121971",
"name": "Scott",
"screen_name": "MossScottAaron",
"indices": [
0,
15
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@MossScottAaron \"Multi-modal embedding\" usually means text+image. \n\nMoE embeddings also eat all the metadata (numbers, timestamps, relations to other objects, categorical info, location info etc etc).\n\nWith MoE embeddings, you integrate signals from metadata into your retrieval properly, not viaβ¦",
"in_reply_to_screen_name": "MossScottAaron",
"in_reply_to_status_id_str": "1917304823759921333",
"in_reply_to_user_id_str": "1579121971",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "845239254",
"id_str": "1917305397477617872"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1917304823759921333-cursor-showmore-1965333212",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFVL2dHSk4wdkdwL0FBQUFBSWFtNk1aeHBldzBCcWJvcFF5V21DMQgAAgAAAAYKAAMam6KUMlpgtQ8ABAoAAAACGpuilDJaYLUam6MZxpew0AAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1917619811103789306"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953526972571189237",
"sortIndex": "1953526972571189237",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxSbms___MLAAIAAAA8RW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUFNYW02TVp4cGV3MEJxYm9wUXlXbUMxR3B1aUZ2YVhBQk09CAADAAAAAgAA",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
},
{
"type": "TimelineTerminateTimeline",
"direction": "Bottom"
}
],
"metadata": {
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}