In survey after survey, executives and their employees report unimpressive gains from A.I. tools. Researchers from the Federal Reserve Bank of Atlanta, Stanford University, the Bank of England and the Autonomous Technological Institute of Mexico recently published a poll of nearly 6,000 senior business executives in which about 90 percent said the technology had no impact on either employment or productivity. That's even though 69 percent reported that their firms actively used A.I.Regular reader may recall the proposition that AI, as currently implemented, will benefit from RDBMS storage of ground facts, either a priori, or as adjudicated output from AI, as currently implemented. One suggestion was to simply store weights in a SQL (yes, I know, it's only meh relational) dztabase and use them to pre- or post-validate an output. We'll see. May be.
But A.I. is also creating a new type of work that may be sucking up much of the time the technology itself is saving.This ohe is so, so precious
Call it a "verification tax," "botsitting" or "rework" — it's the often arduous task of checking that A.I. output is accurate, safe and usable, and it is putting a very human bottleneck on A.I. automation.
Tech companies, for example, can use A.I. to generate thousands of lines of code an hour. Yet Amazon and others still require a human to review that code.IOW, AI, as currently implemented, is little more than a fresh graduate from The Grace L. Ferguson Airline (And Storm Door Co.)©Newhart COBOL programmer school subsidiary. I guess AI, as currently implemented, coding does go a bit faster. Ya still need to keep a vewy, vewy close eye on the little devil.
To be a bit more generous: back in the olden days (in which I existed shortly before they went poof) of computer systems, the world was divided into two parts, coders and systems analysts. The former banged out the code, based on structure and instructions from the systems analysts. Said bevy of analysts had the final say on, and responsibilty for, the buggyness (hopefully, nil) of the delivered product. Now, with AI, as currently implemented, everybody is an SA; in those olden days, this was the position to which one aspired (unless one were a crafty techy who envisioned himself as Management Material). But, of course, back in those olden days, the heavy lifting (in terms of time requirements) was done by the coders and output rarely ran as high as 100 lines of COBOL a day per coder. Piece of cake. The SAs sat around bullshitting and bitching about how dumb the coders were. "Can't they just follow directions, fur cryin out loud????" And such.
And, in keeping with the mantra: since AI, as currently implemented, is built on all the crap coding festering in the innterTubes, building smart datastores and simple code to leverage them isn't likely. Remember the coders' mantra: "all the data be mine, and only mine, and only my code can make sense of it." That shit is what permeates the innterTubes. `
