@sigue @masukomi
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@weekend_editor @sigue Had to go hunt down wtf the "Harlequin" Dylan was.
Discovered Harlequin was a company? Does that mean there was a company that actually used Dylan for its regular production code?!
That's 🤯 if true. I had NO idea.
[edit: even more 🤯 than discovering a company that uses Smalltalk in production.]
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@weekend_editor @sigue Had to go hunt down wtf the "Harlequin" Dylan was.
Discovered Harlequin was a company? Does that mean there was a company that actually used Dylan for its regular production code?!
That's 🤯 if true. I had NO idea.
[edit: even more 🤯 than discovering a company that uses Smalltalk in production.]
We (Harlequin) were the *other* company making a Dylan system, after Apple. It was a very weird company, but a good place to work for the 4 years or so I was there.
In fact, when Apple shut down their Dylan project, we hired most of the developers to come finish Harlequin Dylan. They were in the building more or less next door, and were mostly old friends who had worked previously at Symbolics.
Cambridge was like that in those days.
We also had Harlequin Lispworks, which was a Common Lisp system that *was* used in production code, and sold to customers who used it in production code.
We also had Harlequin MLWorks, an ML system that was similarly used.
Dylan was just coming on-stream, so it never quite got used in production before everything was more or less destroyed, sold, or scattered to the winds.
OpenDylan is more or less what survived, which turns out to be quite a lot!
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We (Harlequin) were the *other* company making a Dylan system, after Apple. It was a very weird company, but a good place to work for the 4 years or so I was there.
In fact, when Apple shut down their Dylan project, we hired most of the developers to come finish Harlequin Dylan. They were in the building more or less next door, and were mostly old friends who had worked previously at Symbolics.
Cambridge was like that in those days.
We also had Harlequin Lispworks, which was a Common Lisp system that *was* used in production code, and sold to customers who used it in production code.
We also had Harlequin MLWorks, an ML system that was similarly used.
Dylan was just coming on-stream, so it never quite got used in production before everything was more or less destroyed, sold, or scattered to the winds.
OpenDylan is more or less what survived, which turns out to be quite a lot!
@weekend_editor I knew about Harlequin Dylan but not MLWorks. Was MLWorks a shipped product or only a prototype?
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They’re the only ones skilled enough to decipher the technobabble and keep the nerds honest.
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Companies are eager to replace engineers with AI.
Funny how management and C-suite roles are never part of the experiment.
If AI really excels at rational, unbiased decision-making, those positions should be the first on the list.
