Viewing enriched Twitter post
For benchmarks that target novel tasks, a common form of benchmark hacking that arbitrages this gap is to generate a dense sampling of potential tasks by manually parameterizing the space and then brute-forcing it. Very expensive but it works. There's little you can do to restore benchmark validity here besides increasing the dimensionality of the task space.
{
"score": 0.36,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.06000000000000001,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-03-01T12:33:32.883923",
"import_source": "api_import",
"source_tagged_at": "2026-03-01T12:33:32.883946",
"enriched": true,
"enriched_at": "2026-03-01T12:33:32.883949"
}{
"type": "tweet",
"id": "2027218052820193776",
"url": "https://x.com/fchollet/status/2027218052820193776",
"twitterUrl": "https://twitter.com/fchollet/status/2027218052820193776",
"text": "For benchmarks that target novel tasks, a common form of benchmark hacking that arbitrages this gap is to generate a dense sampling of potential tasks by manually parameterizing the space and then brute-forcing it. Very expensive but it works. There's little you can do to restore benchmark validity here besides increasing the dimensionality of the task space.",
"source": "Twitter for iPhone",
"retweetCount": 6,
"replyCount": 6,
"likeCount": 163,
"quoteCount": 0,
"viewCount": 17776,
"createdAt": "Fri Feb 27 03:03:42 +0000 2026",
"lang": "en",
"bookmarkCount": 38,
"isReply": true,
"inReplyToId": "2027216811414974875",
"conversationId": "2027216811414974875",
"displayTextRange": [
0,
280
],
"inReplyToUserId": "68746721",
"inReplyToUsername": "fchollet",
"author": {
"type": "user",
"userName": "fchollet",
"url": "https://x.com/fchollet",
"twitterUrl": "https://twitter.com/fchollet",
"id": "68746721",
"name": "François Chollet",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/2006806326140350470/Kd5oZv-f_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/68746721/1463719109",
"description": "",
"location": "United States",
"followers": 613125,
"following": 825,
"status": "",
"canDm": false,
"canMediaTag": false,
"createdAt": "Tue Aug 25 17:09:25 +0000 2009",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 10732,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 1477,
"statusesCount": 25032,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1968676861430706451"
],
"profile_bio": {
"description": "Co-founder @ndea. Co-founder @arcprize. Creator of Keras and ARC-AGI. Author of 'Deep Learning with Python'.",
"entities": {
"description": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": [
{
"id_str": "0",
"indices": [
11,
16
],
"name": "",
"screen_name": "ndea"
},
{
"id_str": "0",
"indices": [
29,
38
],
"name": "",
"screen_name": "arcprize"
}
]
},
"url": {
"urls": [
{
"display_url": "fchollet.com",
"expanded_url": "https://fchollet.com/",
"indices": [
0,
23
],
"url": "https://t.co/6miFIZS7Li"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"article": null
}