{
"$type": "site.standard.document",
"bskyPostRef": {
"cid": "bafyreiejzoqspxmhzkc6ljvs53darvuw6zttbwhlp6qxvli2ylxrulbqqm",
"uri": "at://did:plc:oyu7kdlpydxm44ioz2z7kbhs/app.bsky.feed.post/3mhxjgsy4qrf2"
},
"coverImage": {
"$type": "blob",
"ref": {
"$link": "bafkreib3mmn4xaxnq7kw2nquyi2koaloma2mmhn26jeumuug6ujs2e7rqq"
},
"mimeType": "image/jpeg",
"size": 163070
},
"path": "/2026/03/26/google-might-have-solved-ramageddon-with-turboquant/",
"publishedAt": "2026-03-26T11:40:10.000Z",
"site": "https://dataconomy.com",
"tags": [
"Research",
"Featured",
"Google",
"TurboQuant"
],
"textContent": "Google Research developed TurboQuant, a new AI memory compression algorithm designed to enhance efficiency in artificial intelligence systems. The algorithm allows AI models to process more information with less memory, potentially reducing operational costs for AI inference, prompting comparisons to the fictional compression technology depicted in HBO’s “Silicon Valley.” Google Research described TurboQuant as a […]",
"title": "Google might have solved RAMageddon with TurboQuant"
}