Replying to @solirvine
Low numbers, and yet haunted by the Bitter Lesson. I guess it's harnesses at least for now
Replying to @gordon_cassie
Feels like there is a general sense that the hard yards are ahead to get real productivity boosts, less magic thinking from buyers on what can be achieved with the tools
Alex Hamilton retweeted
The real Philosopher's Stone of legal AI is teaching the machine to reason about whether things are important enough to raise with the other side.
Most people mistakenly think that legal AI should spot and raise every issue, every time.
Replying to @solirvine
This is all true, except is this so different to how it has always been, just with more people able to play?
These issues translate directly to using AI in law
When we make decisions based on AI output volume alone, ignoring everything else that goes on during product development, we do more harm than good, to the point where the organization may be better off abandoning AI development entirely. You cannot assess AI "productivity improvements" without looking at the entire product development flow, taken from when it's a gleam in somebody's eye to delivery to customers and beyond. A simple output-volume metric is worthless on its own. You have to consider the entire system.
Goldratt's "The Goal," which I think of as essential reading—knowing that material is a basic software-engineering competence at the level of knowing how to code—addresses exactly this issue. Goldratt talks about robotic automation in a factory damaging overall productivity, but that's exactly the problem we're dealing with when we use robotic (AI) code generators. Automating a sub-process does nothing but jack up operating expenses unless it addresses a bottleneck in the overall development flow. Coding has never been the bottleneck.
AI, as often used, does nothing but increase inventory (work done that generates no revenue), and as the inventory piles up, it encourages shortcuts (e.g., inadequate review and testing) that disrupt the flow and damage overall productivity.
People do say that "AI creates challenges," but we have not even scratched the surface of how to address those. In the meantime, we make knee-jerk adjustments to our process that damage overall productivity, and given that most organizations are incapable of accurate self-assessment, that goes entirely unnoticed. There are things we can do to get the situation under control. For example: human-created software architecture can be used as a constraint on the AI, working in very small batches makes reviews possible, making the feedback loops faster increases the value of the software and makes necessary changes easier. We can analyze literally everything that happens as a product is developed (the "value stream") and optimize the entire process. We can improve development flow to eliminate dependencies and bottlenecks.
We, as an industry, don't seem willing to do any of that, however. We ignore those things at our own peril.
Replying to @solirvine
I suspect there is a difference here between process-thinking and project-thinking. Work that is more project-like will probably focus on workbenches, but if the work can be treated as a process, then building the processing into apps may make sense
Replying to @AlexHamiltonRad @gordon_cassie
We have to respond into the void to feed the algorithm. Ugh
Replying to @gordon_cassie
I’m watching my life flash before my eyes… and then the comments you are receiving. FFS
Replying to @solirvine
Claude assures me that yours is novel :)
Replying to @solirvine
Does this overlap with SALI/FOLIO and Noslegal? Can it be contributed to fill in gaps? I'm not sure where they have gotten to in this area
Replying to @matthewfurnari @gordon_cassie
Agree and you get the benefit of a shared understanding of how the world fits together, rather than the model deciding each run for itself
Alex Hamilton retweeted
Our yearlong investigation reveals Nigel Farage courting illicit funding as part of a plot to bring foreign money into British politics, orchestrated by his top aides and caught on hidden camera.
Replying to @gordon_cassie
Interesting tension with the (topical) idea that you shouldn’t slot AI in to replace humans, you should re-envisage the process. Might be good to apply Chesterton’s Fence and think about what was valuable in the old way. So basically, more champagne
Replying to @ContrarianJolly @lawheroezV2
Well it can have huge value, just a supplier can't capture any of it



