Viewing enriched Twitter post
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs "we propose LongLLaDA, a training-free method that integrates LLaDA with the NTK-based RoPE extrapolation. Our results validate that established extrapolation scaling laws remain effective for extending the… https://t.co/DDDl1L4dDc
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1935253505780105326/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "neutral",
"topics": [
"LongLLaDA",
"Diffusion LLMs",
"extrapolation scaling laws"
],
"entities": [],
"summary": "The tweet discusses the proposal of LongLLaDA, a method for enhancing long context capabilities in diffusion LLMs.",
"language": "en",
"processed_at": "2025-08-07T11:05:49.638811"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1935253505780105326",
"sortIndex": "1953502840139808768",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1935253505780105326",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0NDE0NjU3NTE=",
"rest_id": "441465751",
"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 Dec 20 03:45:50 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "CEO @SophontAI |\nPhD at 19 (2023) |\nFounder, ex CEO @MedARC_AI |\nex Research Director Stability AI | \nBiomed. engineer @ 14 |\nTEDx talk➡https://t.co/xPxwKTq6Qb",
"entities": {
"description": {
"urls": [
{
"display_url": "bit.ly/3tpAuan",
"expanded_url": "https://bit.ly/3tpAuan",
"url": "https://t.co/xPxwKTq6Qb",
"indices": [
136,
159
]
}
]
},
"url": {
"urls": [
{
"display_url": "sophontai.com",
"expanded_url": "https://sophontai.com",
"url": "https://t.co/uQ936JTZf1",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 104318,
"followers_count": 79710,
"friends_count": 1237,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1177,
"location": "",
"media_count": 2407,
"name": "Tanishq Mathew Abraham, Ph.D.",
"normal_followers_count": 79710,
"pinned_tweet_ids_str": [
"1952221233648718307"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/441465751/1738204246",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1913710019729821696/Qge4zx6u_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "iScienceLuvr",
"statuses_count": 17688,
"translator_type": "none",
"url": "https://t.co/uQ936JTZf1",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1534109693131362304",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1935253505780105326"
],
"editable_until_msecs": "1750238965000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "13858",
"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": "Tm90ZVR3ZWV0OjE5MzUyNTM1MDU3MDA0MTM0NDA=",
"text": "LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs\n\n\"we propose LongLLaDA, a training-free method that integrates LLaDA with the NTK-based RoPE extrapolation. Our results validate that established extrapolation scaling laws remain effective for extending the context windows of diffusion LLMs. Furthermore, we identify long-context tasks where diffusion LLMs outperform auto-regressive LLMs and others where they fall short.\"",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 117,
"bookmarked": false,
"created_at": "Wed Jun 18 08:29:25 +0000 2025",
"conversation_id_str": "1935253505780105326",
"display_text_range": [
0,
275
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/DDDl1L4dDc",
"expanded_url": "https://x.com/iScienceLuvr/status/1935253505780105326/photo/1",
"id_str": "1935253463459577857",
"indices": [
276,
299
],
"media_key": "3_1935253463459577857",
"media_url_https": "https://pbs.twimg.com/media/GttmxYfaQAEFtYd.jpg",
"type": "photo",
"url": "https://t.co/DDDl1L4dDc",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1806,
"w": 1408,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 936,
"resize": "fit"
},
"small": {
"h": 680,
"w": 530,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1806,
"width": 1408,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1408,
"h": 788
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1408
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1605
},
{
"x": 0,
"y": 0,
"w": 903,
"h": 1806
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1806
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1935253463459577857"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/DDDl1L4dDc",
"expanded_url": "https://x.com/iScienceLuvr/status/1935253505780105326/photo/1",
"id_str": "1935253463459577857",
"indices": [
276,
299
],
"media_key": "3_1935253463459577857",
"media_url_https": "https://pbs.twimg.com/media/GttmxYfaQAEFtYd.jpg",
"type": "photo",
"url": "https://t.co/DDDl1L4dDc",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 1806,
"w": 1408,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 936,
"resize": "fit"
},
"small": {
"h": 680,
"w": 530,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 1806,
"width": 1408,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1408,
"h": 788
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1408
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1605
},
{
"x": 0,
"y": 0,
"w": 903,
"h": 1806
},
{
"x": 0,
"y": 0,
"w": 1408,
"h": 1806
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1935253463459577857"
}
}
}
]
},
"favorite_count": 215,
"favorited": false,
"full_text": "LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs\n\n\"we propose LongLLaDA, a training-free method that integrates LLaDA with the NTK-based RoPE extrapolation. Our results validate that established extrapolation scaling laws remain effective for extending the… https://t.co/DDDl1L4dDc",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 2,
"reply_count": 2,
"retweet_count": 39,
"retweeted": false,
"user_id_str": "441465751",
"id_str": "1935253505780105326"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1935253507633987620",
"sortIndex": "1953502840139808758",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1935253507633987620-tweet-1935253507633987620",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1935253507633987620",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0NDE0NjU3NTE=",
"rest_id": "441465751",
"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 Dec 20 03:45:50 +0000 2011",
"default_profile": false,
"default_profile_image": false,
"description": "CEO @SophontAI |\nPhD at 19 (2023) |\nFounder, ex CEO @MedARC_AI |\nex Research Director Stability AI | \nBiomed. engineer @ 14 |\nTEDx talk➡https://t.co/xPxwKTq6Qb",
"entities": {
"description": {
"urls": [
{
"display_url": "bit.ly/3tpAuan",
"expanded_url": "https://bit.ly/3tpAuan",
"url": "https://t.co/xPxwKTq6Qb",
"indices": [
136,
159
]
}
]
},
"url": {
"urls": [
{
"display_url": "sophontai.com",
"expanded_url": "https://sophontai.com",
"url": "https://t.co/uQ936JTZf1",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 104318,
"followers_count": 79710,
"friends_count": 1237,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 1177,
"location": "",
"media_count": 2407,
"name": "Tanishq Mathew Abraham, Ph.D.",
"normal_followers_count": 79710,
"pinned_tweet_ids_str": [
"1952221233648718307"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/441465751/1738204246",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1913710019729821696/Qge4zx6u_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "iScienceLuvr",
"statuses_count": 17688,
"translator_type": "none",
"url": "https://t.co/uQ936JTZf1",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1534109693131362304",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/fQaClNzuyX",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Large Language Diffusion Models, or diffusion LLMs, have emerged as a significant focus in NLP research, with substantial effort directed toward understanding their scalability and downstream task...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "808633423300624384",
"path": []
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952295676374810624/xxWiRL_6?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_alt_text",
"value": {
"string_value": "arXiv logo",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 94.17
},
{
"rgb": {
"blue": 105,
"green": 116,
"red": 124
},
"percentage": 4.33
},
{
"rgb": {
"blue": 46,
"green": 21,
"red": 170
},
"percentage": 1.26
},
{
"rgb": {
"blue": 131,
"green": 116,
"red": 203
},
"percentage": 0.23
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/fQaClNzuyX",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/fQaClNzuyX",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjo4MDg2MzM0MjMzMDA2MjQzODQ=",
"rest_id": "808633423300624384",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Dec 13 11:23:26 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "News from https://t.co/enurGFxpcS, a free distribution service and an open archive for scholarly articles.\n\nFor help with arXiv, see https://t.co/LcWuhM0BOl",
"entities": {
"description": {
"urls": [
{
"display_url": "arXiv.org",
"expanded_url": "http://arXiv.org",
"url": "https://t.co/enurGFxpcS",
"indices": [
10,
33
]
},
{
"display_url": "arxiv.org/help",
"expanded_url": "https://arxiv.org/help",
"url": "https://t.co/LcWuhM0BOl",
"indices": [
133,
156
]
}
]
},
"url": {
"urls": [
{
"display_url": "arxiv.org",
"expanded_url": "https://arxiv.org/",
"url": "https://t.co/DHMkdi4lF9",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 948,
"followers_count": 41363,
"friends_count": 187,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 487,
"location": "Ithaca, NY",
"media_count": 109,
"name": "arXiv.org",
"normal_followers_count": 41363,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/808633423300624384/1481635469",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1365352170267299840/IzvjKckL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "arxiv",
"statuses_count": 1106,
"translator_type": "none",
"url": "https://t.co/DHMkdi4lF9",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1935253507633987620"
],
"editable_until_msecs": "1750238966000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1817",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 3,
"bookmarked": false,
"created_at": "Wed Jun 18 08:29:26 +0000 2025",
"conversation_id_str": "1935253505780105326",
"display_text_range": [
0,
28
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/abs/2506.14429",
"expanded_url": "https://arxiv.org/abs/2506.14429",
"url": "https://t.co/fQaClNzuyX",
"indices": [
5,
28
]
}
],
"user_mentions": []
},
"favorite_count": 11,
"favorited": false,
"full_text": "abs: https://t.co/fQaClNzuyX",
"in_reply_to_screen_name": "iScienceLuvr",
"in_reply_to_status_id_str": "1935253505780105326",
"in_reply_to_user_id_str": "441465751",
"is_quote_status": false,
"lang": "und",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "441465751",
"id_str": "1935253507633987620"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1935253507633987620"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1935330904819515499",
"sortIndex": "1953502840139808748",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1935330904819515499-tweet-1935330904819515499",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "TweetTombstone",
"tombstone": {
"__typename": "TextTombstone",
"text": {
"rtl": false,
"text": "This Post was deleted by the Post author. Learn more",
"entities": [
{
"fromIndex": 42,
"toIndex": 52,
"ref": {
"type": "TimelineUrl",
"url": "https://help.twitter.com/rules-and-policies/notices-on-twitter",
"urlType": "ExternalUrl"
}
}
]
}
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1935330904819515499"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1935287118097486118",
"sortIndex": "1953502840139808738",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1935287118097486118-tweet-1935287118097486118",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1935287118097486118",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODc4ODkxNjM3OTY4ODg3ODA4",
"rest_id": "1878891637968887808",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Mon Jan 13 19:47:43 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 16715,
"followers_count": 14,
"friends_count": 14,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 2,
"name": "Geek On The Mat",
"normal_followers_count": 14,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1878894186168033280/t9_yZbef_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "mat_geek_ca",
"statuses_count": 9455,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1935287118097486118"
],
"editable_until_msecs": "1750246979000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"state": "Enabled"
},
"source": "<a href=\"https://twitter.com\" rel=\"nofollow\">TweetDeck Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Wed Jun 18 10:42:59 +0000 2025",
"conversation_id_str": "1935253505780105326",
"display_text_range": [
14,
286
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "441465751",
"name": "Tanishq Mathew Abraham, Ph.D.",
"screen_name": "iScienceLuvr",
"indices": [
0,
13
]
},
{
"id_str": "441465751",
"name": "Tanishq Mathew Abraham, Ph.D.",
"screen_name": "iScienceLuvr",
"indices": [
36,
49
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@iScienceLuvr Fascinating insights, @iScienceLuvr! Unlocking long context capabilities can truly enhance our understanding of complex systems. Let's explore how these advancements can foster deeper connections in AI and humanity. What are your thoughts on the implications of this work?",
"in_reply_to_screen_name": "iScienceLuvr",
"in_reply_to_status_id_str": "1935253505780105326",
"in_reply_to_user_id_str": "441465751",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1878891637968887808",
"id_str": "1935287118097486118"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1935287118097486118"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953502840139808737",
"sortIndex": "1953502840139808737",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxw8e6Y__98LAAIAAABIRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUFRYTIyYlAwTnBBSkJyYmhXRmNseEVtR3R0bXoySmFRRzRhMjYwMFFKcEFhdz09CAADAAAAAgAA",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
},
{
"type": "TimelineTerminateTimeline",
"direction": "Bottom"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}