🐦 Twitter Post Details

Viewing enriched Twitter post

@percyliang

Normally replay old data reduces forgetting, but it actually helps you learn on new data too! We finally put this paper out on arxiv, but had it up as a Marin GitHub issue ~1 year ago: https://t.co/MNevf6XjvC

Media 1

📊 Media Metadata

{
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2030084101559271490/media_0.jpg?",
      "filename": "media_0.jpg"
    }
  ],
  "processed_at": "2026-03-07T14:27:17.277285",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2030084101559271490",
  "url": "https://x.com/percyliang/status/2030084101559271490",
  "twitterUrl": "https://twitter.com/percyliang/status/2030084101559271490",
  "text": "Normally replay old data reduces forgetting, but it actually helps you learn on new data too!\n\nWe finally put this paper out on arxiv, but had it up as a Marin GitHub issue ~1 year ago:\nhttps://t.co/MNevf6XjvC",
  "source": "Twitter for iPhone",
  "retweetCount": 14,
  "replyCount": 6,
  "likeCount": 143,
  "quoteCount": 0,
  "viewCount": 15403,
  "createdAt": "Sat Mar 07 00:52:21 +0000 2026",
  "lang": "en",
  "bookmarkCount": 87,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2030084101559271490",
  "displayTextRange": [
    0,
    209
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "percyliang",
    "url": "https://x.com/percyliang",
    "twitterUrl": "https://twitter.com/percyliang",
    "id": "86481377",
    "name": "Percy Liang",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1319828397699129346/wjBcgUH0_normal.jpg",
    "coverPicture": "",
    "description": "",
    "location": "Stanford, CA",
    "followers": 97005,
    "following": 424,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Sat Oct 31 07:26:37 +0000 2009",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 2582,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 105,
    "statusesCount": 1258,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "1924527490351169964"
    ],
    "profile_bio": {
      "description": "professor of computer science @Stanford @stanfordnlp, co-founder of @togethercompute, creator of https://t.co/7R5THVogW2, co-founder of @simile_ai, pianist",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [
            {
              "display_url": "marin.community",
              "expanded_url": "http://marin.community",
              "indices": [
                97,
                120
              ],
              "url": "https://t.co/7R5THVogW2"
            }
          ],
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                30,
                39
              ],
              "name": "",
              "screen_name": "Stanford"
            },
            {
              "id_str": "0",
              "indices": [
                40,
                52
              ],
              "name": "",
              "screen_name": "stanfordnlp"
            },
            {
              "id_str": "0",
              "indices": [
                68,
                84
              ],
              "name": "",
              "screen_name": "togethercompute"
            },
            {
              "id_str": "0",
              "indices": [
                136,
                146
              ],
              "name": "",
              "screen_name": "simile_ai"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "cs.stanford.edu/~pliang/",
              "expanded_url": "https://cs.stanford.edu/~pliang/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/eDtsxiCvFO"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {},
  "card": {
    "binding_values": [
      {
        "key": "description",
        "value": {
          "string_value": "Description Interested in how to properly order pretraining data for fixed available data. To start, we can consider how you would want to do curriculum learning for transfer: if you are given a fe..."
        }
      },
      {
        "key": "domain",
        "value": {
          "string_value": "github.com"
        }
      },
      {
        "key": "site",
        "value": {
          "scribe_key": "publisher_id",
          "user_value": {
            "id_str": "13334762",
            "path": []
          }
        }
      },
      {
        "key": "photo_image_full_size_alt_text",
        "value": {
          "string_value": "Description Interested in how to properly order pretraining data for fixed available data. To start, we can consider how you would want to do curriculum learning for transfer: if you are given a fe..."
        }
      },
      {
        "key": "vanity_url",
        "value": {
          "scribe_key": "vanity_url",
          "string_value": "github.com"
        }
      },
      {
        "key": "summary_photo_image_alt_text",
        "value": {
          "string_value": "Description Interested in how to properly order pretraining data for fixed available data. To start, we can consider how you would want to do curriculum learning for transfer: if you are given a fe..."
        }
      },
      {
        "key": "title",
        "value": {
          "string_value": "Studying how data ordering can improve pretraining · Issue #702 · marin-community/marin"
        }
      },
      {
        "key": "card_url",
        "value": {
          "scribe_key": "card_url",
          "string_value": "https://t.co/MNevf6XjvC"
        }
      }
    ],
    "card_platform": {
      "platform": {
        "audience": {
          "name": "production"
        },
        "device": {
          "name": "iPhone",
          "version": "13"
        }
      }
    },
    "name": "summary_large_image",
    "url": "https://t.co/MNevf6XjvC",
    "user_refs_results": [
      {
        "rest_id": "13334762",
        "result": {
          "__typename": "User",
          "action_counts": {
            "favorites_count": 8640
          },
          "avatar": {
            "image_url": "https://pbs.twimg.com/profile_images/1633247750010830848/8zfRrYjA_normal.png"
          },
          "banner": {
            "image_url": "https://pbs.twimg.com/profile_banners/13334762/1765308302"
          },
          "core": {
            "created_at": "Mon Feb 11 04:41:50 +0000 2008",
            "name": "GitHub",
            "screen_name": "github"
          },
          "dm_permissions": {
            "can_dm": false
          },
          "exclusive_tweet_following": false,
          "follow_request_sent": false,
          "identity_profile_labels_highlighted_label": {},
          "location": {
            "location": "San Francisco, CA"
          },
          "media_permissions": {
            "can_media_tag": true
          },
          "notifications_settings": {
            "notifications_enabled": false
          },
          "pinned_items": {
            "tweet_ids_str": [
              "2019093909981257849"
            ]
          },
          "privacy": {
            "protected": false,
            "suspended": false
          },
          "private_super_following": false,
          "profile_bio": {
            "description": "The AI-powered developer platform to build, scale, and deliver secure software.",
            "entities": {
              "description": {
                "hashtags": [],
                "symbols": [],
                "urls": [],
                "user_mentions": []
              },
              "url": {
                "urls": [
                  {
                    "display_url": "github.com",
                    "expanded_url": "http://github.com",
                    "indices": [
                      0,
                      23
                    ],
                    "url": "https://t.co/bbJgfyzKzp"
                  }
                ]
              }
            }
          },
          "profile_image_shape": "Square",
          "profile_metadata": {
            "profile_interstitial_type": "",
            "profile_link_color": "981CEB"
          },
          "profile_translation": {
            "translator_type_enum": "None"
          },
          "properties": {
            "has_extended_profile": true
          },
          "relationship_counts": {
            "followers": 2619287,
            "following": 333
          },
          "relationship_perspectives": {
            "blocked_by": false,
            "blocking": false,
            "followed_by": false,
            "following": false,
            "live_following": false,
            "muting": false
          },
          "rest_id": "13334762",
          "smart_blocked_by": false,
          "smart_blocking": false,
          "super_follow_eligible": false,
          "super_followed_by": false,
          "super_following": false,
          "tweet_counts": {
            "media_tweets": 2914,
            "tweets": 10395
          },
          "verification": {
            "is_blue_verified": true,
            "verified": false,
            "verified_type": "Business"
          },
          "website": {
            "url": "https://t.co/bbJgfyzKzp"
          }
        }
      }
    ]
  },
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "github.com/marin-communit…",
        "expanded_url": "https://github.com/marin-community/marin/issues/702",
        "indices": [
          186,
          209
        ],
        "url": "https://t.co/MNevf6XjvC"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": {
    "type": "tweet",
    "id": "2029983689988542742",
    "url": "https://x.com/kothasuhas/status/2029983689988542742",
    "twitterUrl": "https://twitter.com/kothasuhas/status/2029983689988542742",
    "text": "to improve fine-tuning data efficiency, replay generic pre-training data\n\nnot only does this reduce forgetting, it actually improves performance on the fine-tuning domain! especially when fine-tuning data is scarce in pre-training (w/ @percyliang) https://t.co/ClGPAUlPqQ",
    "source": "Twitter for iPhone",
    "retweetCount": 46,
    "replyCount": 10,
    "likeCount": 395,
    "quoteCount": 2,
    "viewCount": 35764,
    "createdAt": "Fri Mar 06 18:13:21 +0000 2026",
    "lang": "en",
    "bookmarkCount": 283,
    "isReply": false,
    "inReplyToId": null,
    "conversationId": "2029983689988542742",
    "displayTextRange": [
      0,
      247
    ],
    "inReplyToUserId": null,
    "inReplyToUsername": null,
    "author": {
      "type": "user",
      "userName": "kothasuhas",
      "url": "https://x.com/kothasuhas",
      "twitterUrl": "https://twitter.com/kothasuhas",
      "id": "1266445726491410432",
      "name": "Suhas Kotha",
      "isVerified": false,
      "isBlueVerified": false,
      "verifiedType": null,
      "profilePicture": "https://pbs.twimg.com/profile_images/1694095997184376833/0nuYqdDE_normal.jpg",
      "coverPicture": "https://pbs.twimg.com/profile_banners/1266445726491410432/1695070580",
      "description": "",
      "location": "",
      "followers": 725,
      "following": 274,
      "status": "",
      "canDm": true,
      "canMediaTag": true,
      "createdAt": "Fri May 29 19:06:10 +0000 2020",
      "entities": {
        "description": {
          "urls": []
        },
        "url": {}
      },
      "fastFollowersCount": 0,
      "favouritesCount": 546,
      "hasCustomTimelines": true,
      "isTranslator": false,
      "mediaCount": 27,
      "statusesCount": 127,
      "withheldInCountries": [],
      "affiliatesHighlightedLabel": {},
      "possiblySensitive": false,
      "pinnedTweetIds": [
        "1969094885518053869"
      ],
      "profile_bio": {
        "description": "cs phd @ stanford",
        "entities": {
          "description": {
            "hashtags": [],
            "symbols": [],
            "urls": [],
            "user_mentions": []
          },
          "url": {
            "urls": [
              {
                "display_url": "kothasuhas.github.io",
                "expanded_url": "http://kothasuhas.github.io/",
                "indices": [
                  0,
                  23
                ],
                "url": "https://t.co/kT6iprmMcx"
              }
            ]
          }
        }
      },
      "isAutomated": false,
      "automatedBy": null
    },
    "extendedEntities": {
      "media": [
        {
          "allow_download_status": {
            "allow_download": true
          },
          "display_url": "pic.twitter.com/ClGPAUlPqQ",
          "expanded_url": "https://twitter.com/kothasuhas/status/2029983689988542742/photo/1",
          "ext_media_availability": {
            "status": "Available"
          },
          "features": {
            "all": {
              "tags": [
                {
                  "name": "Percy Liang",
                  "screen_name": "percyliang",
                  "type": "user",
                  "user_id": "86481377"
                }
              ]
            },
            "large": {
              "faces": []
            },
            "orig": {
              "faces": []
            }
          },
          "id_str": "2029982860254588928",
          "indices": [
            248,
            271
          ],
          "media_key": "3_2029982860254588928",
          "media_results": {
            "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARwr8qf1mzAACgACHCvzaSWakRYAAA==",
            "result": {
              "__typename": "ApiMedia",
              "id": "QXBpTWVkaWE6DAABCgABHCvyp/WbMAAKAAIcK/NpJZqRFgAA",
              "media_key": "3_2029982860254588928"
            }
          },
          "media_url_https": "https://pbs.twimg.com/media/HCvyp_WbMAAw6Rr.jpg",
          "original_info": {
            "focus_rects": [
              {
                "h": 819,
                "w": 1462,
                "x": 0,
                "y": 0
              },
              {
                "h": 958,
                "w": 958,
                "x": 287,
                "y": 0
              },
              {
                "h": 958,
                "w": 840,
                "x": 346,
                "y": 0
              },
              {
                "h": 958,
                "w": 479,
                "x": 527,
                "y": 0
              },
              {
                "h": 958,
                "w": 1462,
                "x": 0,
                "y": 0
              }
            ],
            "height": 958,
            "width": 1462
          },
          "sizes": {
            "large": {
              "h": 958,
              "w": 1462
            }
          },
          "type": "photo",
          "url": "https://t.co/ClGPAUlPqQ"
        }
      ]
    },
    "card": null,
    "place": {},
    "entities": {
      "hashtags": [],
      "symbols": [],
      "timestamps": [],
      "urls": [],
      "user_mentions": [
        {
          "id_str": "86481377",
          "indices": [
            235,
            246
          ],
          "name": "Percy Liang",
          "screen_name": "percyliang"
        }
      ]
    },
    "quoted_tweet": null,
    "retweeted_tweet": null,
    "isLimitedReply": false,
    "article": null
  },
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}