Fifty Degrees Below - Kim Stanley Robinson [42]
This struck Frank as bullshit, but that was neither here nor there. Certainly the market fetishists who dominated their culture would not give up on such an ideologically correct idea just because of a single public relations gaffe. And indeed, Frank quickly came on news of a program called ARDA, Advanced Research and Development Activity, which had become home to both the Total Information Awareness program and the idea futures market. ARDA had been funded as part of the “National Foreign Intelligence Program,” which was part of an intelligence agency that had not been publicly identified. “Evidence Extraction,” “Link Discovery,” “Novel Intelligence from Massive Data”; all kinds of data-mining projects had disappeared with the futures market idea down this particular rabbit hole.
Before it left public view along with the rest of this kind of thing, the idea futures market concept had already been fine-tuned to deal with first iteration problems. “Conditional bidding” allowed participants to nuance their wagers by making them conditional on intermediary events. And—this jumped out at Frank as he read—”market makers” were added to the system, meaning automated bidders that were always available to trade, so that the market would stay liquid even when there were few participants. The first market-maker programs had lost tremendous amounts of money, so their programmers had refined them to a point where they were able to compete successfully with live traders.
Bingo. Frank’s investors.
The whole futures market concept had then gone black, along with ARDA itself. Wherever it was now, it undoubtedly included these programs that could trade in the futures of researchers and their ideas, predicting which would prosper by using the collective pooling of information envisioned in the Total Information Awareness concept, which had dreamed of collating all the information everywhere in the datasphere.
So: virtual markets, with virtual participants, creating virtual results, tracked by real people in real security agencies. All part of the newly secure environment as envisioned in the Homeland Security acts. That these people had chosen a Nazi title for their enterprise was presumably more a tribute to their ignorance and stupidity than to any evil intent. Nevertheless it was not reassuring.
Briefly Frank wondered if he could learn enough to do some reverse transcription, and use this system against itself. Google-bombing was one method that had successfully distorted the datasphere, placing information in ways that caused it to radiate out through the system inaccurately. That particular method had been countered by blockers, but other methods remained out there, using the cascading recombinant math that was part of the algorithm family that both Frank and Yann Pierzinski studied. Pierzinski was the young hotshot, blazing out into new territory; but it was Frank who had recognized what his newly powerful algorithm might do in the real world. Now maybe he had identified another potential application. Yann never would; he was one of those mathematicians who just didn’t care about