SOL LAB u.t.s. @sol_lab_uts - Twitter Profile

1/5 “The designers just kind of know.” With that sentence, knowledge management mostly manages invisibility. Design knowledge lives in the thing itself, not only in heads and not only in the wiki.

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

Design, in between. SOL LAB u.t.s. works between idea and object. More on Instagram: https://t.co/YVV642gzI5

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

5/5 The full essay on Between, with sources: https://t.co/uwcWAowxn3

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

4/5 Innovation happens in the transitions: tuning filters, externalizing intuition, building models. A knowledge management system that only stores final products cuts right where new design knowledge is made.

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

5/5 Der ganze Essay auf Between, mit Quellen: https://t.co/K5XgIDJgbn

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

1/5 «Die Designer:innen wissen das irgendwie.» Mit diesem Satz verwaltet Knowledge Management vor allem Unsichtbarkeit. Designwissen sitzt im Ding, nicht nur im Kopf und nicht nur im Wiki.

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SOL LAB u.t.s.

@sol_lab_uts

1 day ago

4/5 Innovation entsteht in den Übergängen: Filter justieren, Intuition externalisieren, Modelle bilden. Ein Knowledge Management, das nur Endprodukte speichert, kappt genau dort, wo neues Designwissen entsteht.

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sol_lab_uts retweeted

David 'JoelKatz' Schwartz

@JoelKatz

12 days ago

We should fear AI less because, worst case, we'll get to live in The Matrix and that's pretty much what we have now.

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sol_lab_uts retweeted

Alex Veremeyenko

@alex_verem

15 days ago

MIT published a brutally honest report on what AI is doing to students. A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet. Study groups are disappearing. Office hours are emptying out. Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum. Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle. The numbers are rough. 46 percent of surveyed MIT undergrads use LLMs daily. 90 percent worry about their own overreliance. Undergrads who feel AI makes them replaceable now outnumber those who feel it makes them capable. The committee's answer surprised me. They refused to fight AI with surveillance. The report calls AI detectors unreliable, says lockdown browsers feel like spying, and warns that policing students builds a classroom atmosphere of mutual distrust. Instead, MIT wants to rebuild education around the things AI can't replace. That means oral exams, semester portfolios, in-person project work, and a required social component in every subject. The report even floats the idea of rethinking grades entirely, since without a GPA to optimize, much of the incentive to cheat with AI evaporates. The committee warns professors against replacing undergrad research assistants with AI agents just because they're cheaper, because a university exists to grow people, not output. The most famous tech school on earth admitted the machines broke its way of teaching. Its answer is more humans, not more software.