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1.66 kB
| title: "House Oversight: Estate Documents (Nov 12) (HOUSE_OVERSIGHT_016333)" | |
| source: "House Oversight: Estate Documents (Nov 12)" | |
| sourceUrl: "https://www.justice.gov/epstein" | |
| date: "2026-01-01" | |
| category: "House Oversight" | |
| eftaNumber: "HOUSE_OVERSIGHT_016333" | |
| ocrPages: 1 | |
| ocrChars: 1098 | |
| ocrElapsed: 0.0 | |
| parseTier: "external-legacy" | |
| engine: "engine undisclosed (ep-nov-12.greg.technology mirror)" | |
| externalSource: "greg-ep-nov-12" | |
| externalLicense: "not granted" | |
| externalCredit: "ep-nov-12.greg.technology" | |
| externalUrl: "https://ep-nov-12.greg.technology" | |
| To be sure, some recent achievements in artificial intelligence have been | |
| remarkably impressive. Computers can now produce visual artworks and musical | |
| compositions akin to those of recognized masters, creating just the sort of "information" | |
| that Wiener most prized. But by far the largest impact on society to date has come from | |
| the collection and manipulation of Shannon-like information, which has reshaped our | |
| shopping habits, political participation, personal relationships, expectations of privacy, | |
| and more. | |
| What might "deep learning" evolve into, if the fundamental currency becomes | |
| "information" as Wiener defined it? How might the field shift if re-animated by | |
| Wiener's deep moral convictions, informed as they were by his prescient concerns about | |
| rampant militarism, runaway corporate profit-seeking, the self-limiting features of | |
| secrecy, and the reduction of human expression to interchangeable commodities? | |
| Perhaps "deep learning" might then become the cultivation of meaningful information | |
| rather than the relentless pursuit of potent, if meaningless, bits. | |
| 113 | |
| HOUSE_OVERSIGHT_016333 | |