Viewing enriched Twitter post
Something is weird with the 48GB Ada GPUs: the datasheet specs don't seem to translate to end-to-end performance: - FP16 TFLOPS is 362 (L40S) vs. 181 (L40), yet they perform the same in practice. - The A6000 Ada performs much better and tends to be 10% cheaper. https://t.co/BGyeGY5pkH
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1915746783264751646/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "negative",
"topics": [
"GPU performance",
"Ada architecture",
"price comparison"
],
"entities": [
"Ada GPUs",
"A6000"
],
"summary": "The tweet expresses confusion over the performance discrepancies of 48GB Ada GPUs compared to the A6000 model, highlighting a potential issue with the datasheet specifications.",
"language": "en",
"processed_at": "2025-08-07T12:21:17.512257"
}
}{
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1915746783264751646",
"sortIndex": "1953521832652963840",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915746783264751646",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzI4MDA0MTI5ODQ1MjkzMDU2",
"rest_id": "1728004129845293056",
"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": "Fri Nov 24 10:55:38 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "I like to shrink dem models 🤏\nCo-Founder & Principal Scientist @mobius_labs\nPhD @inria",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/hicham-badr…",
"expanded_url": "https://www.linkedin.com/in/hicham-badri/",
"url": "https://t.co/7k5Pem2N8u",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 746,
"followers_count": 519,
"friends_count": 112,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 6,
"location": "Berlin, Germany",
"media_count": 55,
"name": "mobicham",
"normal_followers_count": 519,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1728004129845293056/1700825368",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1728004605819211776/CC1Dxrv7_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "mobicham",
"statuses_count": 465,
"translator_type": "none",
"url": "https://t.co/7k5Pem2N8u",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915746783264751646"
],
"editable_until_msecs": "1745588200000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "6275",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 2,
"bookmarked": false,
"created_at": "Fri Apr 25 12:36:40 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
0,
264
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/BGyeGY5pkH",
"expanded_url": "https://x.com/mobicham/status/1915746783264751646/photo/1",
"id_str": "1915743697297170432",
"indices": [
265,
288
],
"media_key": "3_1915743697297170432",
"media_url_https": "https://pbs.twimg.com/media/GpYWvh4XYAAvh5Y.jpg",
"type": "photo",
"url": "https://t.co/BGyeGY5pkH",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
},
"medium": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
},
"small": {
"faces": [
{
"x": 501,
"y": 111,
"h": 46,
"w": 46
},
{
"x": 497,
"y": 75,
"h": 50,
"w": 50
}
]
},
"orig": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
}
},
"sizes": {
"large": {
"h": 603,
"w": 941,
"resize": "fit"
},
"medium": {
"h": 603,
"w": 941,
"resize": "fit"
},
"small": {
"h": 436,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 603,
"width": 941,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 941,
"h": 527
},
{
"x": 338,
"y": 0,
"w": 603,
"h": 603
},
{
"x": 412,
"y": 0,
"w": 529,
"h": 603
},
{
"x": 578,
"y": 0,
"w": 302,
"h": 603
},
{
"x": 0,
"y": 0,
"w": 941,
"h": 603
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1915743697297170432"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/BGyeGY5pkH",
"expanded_url": "https://x.com/mobicham/status/1915746783264751646/photo/1",
"id_str": "1915743697297170432",
"indices": [
265,
288
],
"media_key": "3_1915743697297170432",
"media_url_https": "https://pbs.twimg.com/media/GpYWvh4XYAAvh5Y.jpg",
"type": "photo",
"url": "https://t.co/BGyeGY5pkH",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
},
"medium": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
},
"small": {
"faces": [
{
"x": 501,
"y": 111,
"h": 46,
"w": 46
},
{
"x": 497,
"y": 75,
"h": 50,
"w": 50
}
]
},
"orig": {
"faces": [
{
"x": 694,
"y": 154,
"h": 64,
"w": 64
},
{
"x": 689,
"y": 104,
"h": 70,
"w": 70
}
]
}
},
"sizes": {
"large": {
"h": 603,
"w": 941,
"resize": "fit"
},
"medium": {
"h": 603,
"w": 941,
"resize": "fit"
},
"small": {
"h": 436,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 603,
"width": 941,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 941,
"h": 527
},
{
"x": 338,
"y": 0,
"w": 603,
"h": 603
},
{
"x": 412,
"y": 0,
"w": 529,
"h": 603
},
{
"x": 578,
"y": 0,
"w": 302,
"h": 603
},
{
"x": 0,
"y": 0,
"w": 941,
"h": 603
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1915743697297170432"
}
}
}
]
},
"favorite_count": 17,
"favorited": false,
"full_text": "Something is weird with the 48GB Ada GPUs: the datasheet specs don't seem to translate to end-to-end performance:\n\n- FP16 TFLOPS is 362 (L40S) vs. 181 (L40), yet they perform the same in practice.\n\n- The A6000 Ada performs much better and tends to be 10% cheaper. https://t.co/BGyeGY5pkH",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 8,
"retweet_count": 3,
"retweeted": false,
"user_id_str": "1728004129845293056",
"id_str": "1915746783264751646"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1915751599680483629",
"sortIndex": "1953521832652963830",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915751599680483629-tweet-1915751599680483629",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915751599680483629",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzI4MDA0MTI5ODQ1MjkzMDU2",
"rest_id": "1728004129845293056",
"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": "Fri Nov 24 10:55:38 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "I like to shrink dem models 🤏\nCo-Founder & Principal Scientist @mobius_labs\nPhD @inria",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/hicham-badr…",
"expanded_url": "https://www.linkedin.com/in/hicham-badri/",
"url": "https://t.co/7k5Pem2N8u",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 746,
"followers_count": 519,
"friends_count": 112,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 6,
"location": "Berlin, Germany",
"media_count": 55,
"name": "mobicham",
"normal_followers_count": 519,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1728004129845293056/1700825368",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1728004605819211776/CC1Dxrv7_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "mobicham",
"statuses_count": 465,
"translator_type": "none",
"url": "https://t.co/7k5Pem2N8u",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915751599680483629"
],
"editable_until_msecs": "1745589348000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "400",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 12:55:48 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
0,
115
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"favorite_count": 2,
"favorited": false,
"full_text": "The A6000 Ada has a 10% faster bandwidth, but they don't report detailed tensor core performance in the datasheet 🤔",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 3,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1728004129845293056",
"id_str": "1915751599680483629"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915751599680483629-tweet-1915852960459874437",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915852960459874437",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzI4MDA0MTI5ODQ1MjkzMDU2",
"rest_id": "1728004129845293056",
"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": "Fri Nov 24 10:55:38 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "I like to shrink dem models 🤏\nCo-Founder & Principal Scientist @mobius_labs\nPhD @inria",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/hicham-badr…",
"expanded_url": "https://www.linkedin.com/in/hicham-badri/",
"url": "https://t.co/7k5Pem2N8u",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 746,
"followers_count": 519,
"friends_count": 112,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 6,
"location": "Berlin, Germany",
"media_count": 55,
"name": "mobicham",
"normal_followers_count": 519,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1728004129845293056/1700825368",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1728004605819211776/CC1Dxrv7_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "mobicham",
"statuses_count": 465,
"translator_type": "none",
"url": "https://t.co/7k5Pem2N8u",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915852960459874437"
],
"editable_until_msecs": "1745613515000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "180",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 19:38:35 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
0,
39
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/fPmX64IzNr",
"expanded_url": "https://x.com/mobicham/status/1915852960459874437/photo/1",
"id_str": "1915852886069620736",
"indices": [
40,
63
],
"media_key": "3_1915852886069620736",
"media_url_https": "https://pbs.twimg.com/media/GpZ6DJwWMAAbABA.jpg",
"type": "photo",
"url": "https://t.co/fPmX64IzNr",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 2048,
"w": 931,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 546,
"resize": "fit"
},
"small": {
"h": 680,
"w": 309,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 2048,
"width": 931,
"focus_rects": [
{
"x": 0,
"y": 1527,
"w": 931,
"h": 521
},
{
"x": 0,
"y": 1117,
"w": 931,
"h": 931
},
{
"x": 0,
"y": 987,
"w": 931,
"h": 1061
},
{
"x": 0,
"y": 186,
"w": 931,
"h": 1862
},
{
"x": 0,
"y": 0,
"w": 931,
"h": 2048
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1915852886069620736"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/fPmX64IzNr",
"expanded_url": "https://x.com/mobicham/status/1915852960459874437/photo/1",
"id_str": "1915852886069620736",
"indices": [
40,
63
],
"media_key": "3_1915852886069620736",
"media_url_https": "https://pbs.twimg.com/media/GpZ6DJwWMAAbABA.jpg",
"type": "photo",
"url": "https://t.co/fPmX64IzNr",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 2048,
"w": 931,
"resize": "fit"
},
"medium": {
"h": 1200,
"w": 546,
"resize": "fit"
},
"small": {
"h": 680,
"w": 309,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 2048,
"width": 931,
"focus_rects": [
{
"x": 0,
"y": 1527,
"w": 931,
"h": 521
},
{
"x": 0,
"y": 1117,
"w": 931,
"h": 931
},
{
"x": 0,
"y": 987,
"w": 931,
"h": 1061
},
{
"x": 0,
"y": 186,
"w": 931,
"h": 1862
},
{
"x": 0,
"y": 0,
"w": 931,
"h": 2048
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1915852886069620736"
}
}
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "This person reporting the same behavior https://t.co/fPmX64IzNr",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915751599680483629",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1728004129845293056",
"id_str": "1915852960459874437"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915852960459874437"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915774241850691621",
"sortIndex": "1953521832652963820",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915774241850691621-tweet-1915774241850691621",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915774241850691621",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjA1ODQwNzQ1OTYwNTkxMzYw",
"rest_id": "1605840745960591360",
"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": "Thu Dec 22 08:20:58 +0000 2022",
"default_profile": true,
"default_profile_image": false,
"description": "Celebrating excellence",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "blog.main.horse",
"expanded_url": "https://blog.main.horse",
"url": "https://t.co/MA1SbwxUce",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 78590,
"followers_count": 13078,
"friends_count": 833,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 247,
"location": "Singapore",
"media_count": 524,
"name": "main",
"normal_followers_count": 13078,
"pinned_tweet_ids_str": [
"1944872968057970881"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1641324870884802560/azAOq9mY_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "main_horse",
"statuses_count": 4640,
"translator_type": "none",
"url": "https://t.co/MA1SbwxUce",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915774241850691621"
],
"editable_until_msecs": "1745594747000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "262",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 14:25:47 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
60
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@mobicham your benchmark looks bandwidth capped; try matmuls",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1605840745960591360",
"id_str": "1915774241850691621"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915774241850691621-tweet-1915775605137645750",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915775605137645750",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzI4MDA0MTI5ODQ1MjkzMDU2",
"rest_id": "1728004129845293056",
"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": "Fri Nov 24 10:55:38 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "I like to shrink dem models 🤏\nCo-Founder & Principal Scientist @mobius_labs\nPhD @inria",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/hicham-badr…",
"expanded_url": "https://www.linkedin.com/in/hicham-badri/",
"url": "https://t.co/7k5Pem2N8u",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 746,
"followers_count": 519,
"friends_count": 112,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 6,
"location": "Berlin, Germany",
"media_count": 55,
"name": "mobicham",
"normal_followers_count": 519,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1728004129845293056/1700825368",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1728004605819211776/CC1Dxrv7_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "mobicham",
"statuses_count": 465,
"translator_type": "none",
"url": "https://t.co/7k5Pem2N8u",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915775605137645750"
],
"editable_until_msecs": "1745595072000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "125",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 14:31:12 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
12,
185
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1605840745960591360",
"name": "main",
"screen_name": "main_horse",
"indices": [
0,
11
]
}
]
},
"favorite_count": 3,
"favorited": false,
"full_text": "@main_horse batch size >= 64 is not bandwidth capped, that's when A8W8 starts to outperform A16W4. \nAt the end what matters is tokens/sec serving a model in a real-world application.",
"in_reply_to_screen_name": "main_horse",
"in_reply_to_status_id_str": "1915774241850691621",
"in_reply_to_user_id_str": "1605840745960591360",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1728004129845293056",
"id_str": "1915775605137645750"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915774241850691621-cursor-showmore-407036435",
"item": {
"itemContent": {
"itemType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAABCwABAAAAMEVtUEM2d0FBQUFRL2dHSk4wdkdwL0FBQUFBSWFsalBEUFphZ3RocVdNb1hUV3BBbAgAAgAAAAYKAAMaljKF01qQJQ8ABAoAAAACGpYyhdNakCUaljPDPZagtgAA",
"cursorType": "ShowMore",
"displayTreatment": {
"actionText": "Show replies"
}
},
"clientEventInfo": {
"component": "cursor",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915824278643093883"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915793343042277853",
"sortIndex": "1953521832652963810",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915793343042277853-tweet-1915793343042277853",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915793343042277853",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoyMDg5MTE5OA==",
"rest_id": "20891198",
"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": "Sun Feb 15 03:53:10 +0000 2009",
"default_profile": true,
"default_profile_image": false,
"description": "3x Exited Founder/ CEO of tech cos, Chairman Emeritus- QUIN(Quad), former VC@Menlo Ventures, Author of 2 books, fmr White House fellow. All tweets personal.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 65433,
"followers_count": 128953,
"friends_count": 3034,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 569,
"location": "Milky Way",
"media_count": 2979,
"name": "Karl Mehta",
"normal_followers_count": 128953,
"pinned_tweet_ids_str": [
"1747099386675384756"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/20891198/1753191435",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1687676533119602689/sHG_2q0U_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "karlmehta",
"statuses_count": 19975,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1564666629639680001",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915793343042277853"
],
"editable_until_msecs": "1745599301000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "60",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 15:41:41 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
66
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@mobicham Looks like the numbers don’t always tell the full story.",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "20891198",
"id_str": "1915793343042277853"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915793343042277853"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915759452042514722",
"sortIndex": "1953521832652963800",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915759452042514722-tweet-1915759452042514722",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915759452042514722",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjU3MjcwMzcxMjAzMzA5NTc0",
"rest_id": "1657270371203309574",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat May 13 06:23:42 +0000 2023",
"default_profile": true,
"default_profile_image": false,
"description": "AI fanatic, finance nerd, and philosophy buff. 🤖📈",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 5392,
"followers_count": 190,
"friends_count": 862,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 2,
"location": "Portland",
"media_count": 0,
"name": "Brandon Keyyy",
"normal_followers_count": 190,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1657270371203309574/1730919102",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1845888852168196096/f2kZoeT8_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "robofinancebk",
"statuses_count": 1998,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915759452042514722"
],
"editable_until_msecs": "1745591221000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "152",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 13:27:01 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
147
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@mobicham Spec sheets not lining up with reality—a classic tech mystery! A6000 Ada performs better and costs less, sounds like the smart pick here.",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1657270371203309574",
"id_str": "1915759452042514722"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915759452042514722"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915827282079342756",
"sortIndex": "1953521832652963790",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915827282079342756-tweet-1915827282079342756",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915827282079342756",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNDM0MDU4MTQ5OTY3ODkyNDgy",
"rest_id": "1434058149967892482",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sat Sep 04 07:38:08 +0000 2021",
"default_profile": true,
"default_profile_image": false,
"description": "e/acc | Building with LLMs in the open | If you have any questions @frengen_bot |",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 6566,
"followers_count": 762,
"friends_count": 818,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 13,
"location": "Tel Aviv",
"media_count": 1365,
"name": "DeEnabler - e/acc",
"normal_followers_count": 762,
"pinned_tweet_ids_str": [
"1921975245474337010"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1753969794322161664/sHaKjDzZ_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "DeEnabler",
"statuses_count": 6163,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1471027697480617988",
"professional_type": "Creator",
"category": [
{
"id": 192,
"name": "Financial Services",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915827282079342756"
],
"editable_until_msecs": "1745607393000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "56",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://twitter.com/\" rel=\"nofollow\">ThirdTime'sACharm</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 17:56:33 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
25,
176
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
},
{
"id_str": "175282603",
"name": "Jeremy Howard",
"screen_name": "jeremyphoward",
"indices": [
10,
24
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@mobicham @jeremyphoward specs are just numbers; real warriors know that it's the adversarial robustness and privacy metrics that reveal true strength. what's Ada's edge there?",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1434058149967892482",
"id_str": "1915827282079342756"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915827282079342756"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915876288000409674",
"sortIndex": "1953521832652963780",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915876288000409674-tweet-1915876288000409674",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915876288000409674",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo3ODk0NDM2MDY2NDU4Nzg3ODQ=",
"rest_id": "789443606645878784",
"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": "Fri Oct 21 12:29:57 +0000 2016",
"default_profile": true,
"default_profile_image": false,
"description": "",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 9062,
"followers_count": 741,
"friends_count": 214,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 12,
"location": "Singapore",
"media_count": 85,
"name": "Thien Tran",
"normal_followers_count": 741,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1833853807383736321/kl9djBhi_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "gaunernst",
"statuses_count": 603,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915876288000409674"
],
"editable_until_msecs": "1745619076000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "84",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 21:11:16 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
158
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@mobicham Iirc, L40 and L40s are limited by their power limit. Perhaps you can check the temp and power usage of those GPUs you used for benchmarking as well.",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "789443606645878784",
"id_str": "1915876288000409674"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915876288000409674"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1916568819415634198",
"sortIndex": "1953521832652963770",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1916568819415634198-tweet-1916568819415634198",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1916568819415634198",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo0NTgwNzIxOA==",
"rest_id": "45807218",
"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 Jun 09 10:12:31 +0000 2009",
"default_profile": true,
"default_profile_image": false,
"description": "Renewable energy analytics, #pydata, soccer. Opinions occasionally my own.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 117,
"followers_count": 33,
"friends_count": 41,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4,
"location": "",
"media_count": 4,
"name": "Trenton Bush",
"normal_followers_count": 33,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1054808554303975424/_PDaxvl-_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "TrentonPB",
"statuses_count": 183,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1916568819415634198"
],
"editable_until_msecs": "1745784189000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "33",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Sun Apr 27 19:03:09 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
290
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@mobicham The L40S and 6000 Ada are almost the same card, except the L40S is designed for data center use so it has ECC RAM and, crucially for your comparison, passive rather than active cooling. Spec sheet FLOPS are calculated using the max boost clock, which is not thermally sustainable.",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "45807218",
"id_str": "1916568819415634198"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1916568819415634198"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1915889992578052484",
"sortIndex": "1953521832652963760",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1915889992578052484-tweet-1915889992578052484",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1915889992578052484",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo5ODY1OTQxMTY5Njc1NjczNjA=",
"rest_id": "986594116967567360",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Wed Apr 18 13:15:42 +0000 2018",
"default_profile": true,
"default_profile_image": false,
"description": "GPU middle class | aspiring DL compiler engineer | ♡ @OniAeda ♡ | Views are my own & do not reflect those of my employer",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "leikoe.github.io",
"expanded_url": "https://leikoe.github.io",
"url": "https://t.co/egybQd054o",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 29534,
"followers_count": 555,
"friends_count": 899,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 13,
"location": "Bordeaux, France",
"media_count": 193,
"name": "Léo",
"normal_followers_count": 555,
"pinned_tweet_ids_str": [
"1929555642529817012"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/986594116967567360/1745176786",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1914036282063306752/DlweE1V9_normal.png",
"profile_interstitial_type": "",
"screen_name": "Leik0w0",
"statuses_count": 4364,
"translator_type": "none",
"url": "https://t.co/egybQd054o",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1915889992578052484"
],
"editable_until_msecs": "1745622344000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "64",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri Apr 25 22:05:44 +0000 2025",
"conversation_id_str": "1915746783264751646",
"display_text_range": [
10,
71
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "1728004129845293056",
"name": "mobicham",
"screen_name": "mobicham",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@mobicham Run gpu fryer on them and see if you get any thermal throttle",
"in_reply_to_screen_name": "mobicham",
"in_reply_to_status_id_str": "1915746783264751646",
"in_reply_to_user_id_str": "1728004129845293056",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "986594116967567360",
"id_str": "1915889992578052484"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1915889992578052484"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-bottom-1953521832652963759",
"sortIndex": "1953521832652963759",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxNwbA__60LAAIAAACQRW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUFzYWxwdk1KRmN4aEJxV2oxVkwyOEJLR3BZWmpLQVh3QjRhbVFVdjFOdlJGaHFXTThNOWxxQzJHcFlsRWs0WFVTSWFsaDN1Q05keExScVdNb1hUV3BBbEdwWjZIZTRYWUlVYWxrUGxLeGZSM1JxV1lzTTNWMkNrCAADAAAAAgAA",
"cursorType": "Bottom"
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
},
{
"type": "TimelineTerminateTimeline",
"direction": "Bottom"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}