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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Actually, have a physical thorough VIVA for Bachelors, Masters and PhD. May be Oral Exam every 6 months, grill, if they possess all the knowledge despite AI was cranking in the backend, so be it, they are good to go. But from my experience so far, if AI is cranking full-on in the backend, students will never pass an oral exam unless the examiners are clueless...
Academia condemns students for graduating without reading books, while quietly using AI to evaluate papers and monographs without reading them. The scandal is not artificial intelligence; it is institutional hypocrisy.
Alvin Foo do you ever work at the Silicon layer? When you write your software? Semi- conductor chips/memory have inbuilt error checking & correction code in silicon, so as to enable you to orchestrate software work (writing applications) without any errors, whilst operating at a much higher level, even if you know nothing about VLSI chips or RAM.
You cannot orchestrate with AI unless you can trap errors and unless you are good software engineer, unlike that, you may be oblivious to semiconductors in your laptop, you will need to be a good software engineer to use AI, before you start making claims of it building and running a very sophisticated solution, autonomously to your English prompts.
Add the cost of the AI (it's not free) and the quality engineer you still need, it may not be a lowering in costs.
Ofcourse, you do not need large teams and large servers (as you once needed) but that trend predates the AI hype. It is a secular trend.
Use AI in code development, sure, but temper the claims please though.
This is pretty big! Ill have to check out anti gravity
Matrix
AI seriously disrupts the business model of academia. For decades, many academics have hidden behind abstruse language, arcane citation rituals, and credentialism to create artificial moats around knowledge. AI tears down those barriers in seconds.
The outrage is not really about students becoming less intelligent. If academic standards were the concern, where were these people when grade inflation became the norm? Where were they when universities kept expanding intake to bring in more tuition revenue? Where were they when degrees became products and students became customers?
Academia loves to market itself as a meritocracy, but anyone who has spent enough time around universities knows that networks, patronage, academic lineage, departmental cliques, and ideological tribes often matter as much as talent. Brilliant people are routinely excluded because they lack the right supervisor, the right institution, or the right connections. Many academic careers are built as much on who you know as what you know.
What AI threatens is not learning. It threatens gatekeeping. It threatens the ability of a small class of experts to act as custodians of knowledge and arbiters of legitimacy.
The whole noise is about protecting business.
Erik Fehn Game on!
Are you aware of the real reason for China's obsession for colonising Taiwan?
Taiwan produces 86% of the world's semiconductors. Once people understand that, their motivation becomes clearer.
Edgar Perez Global Speaker once people understand that Taiwan produces 86% of the world's superconductors, I think China's obsession with it becomes clearer.
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Mental sharpness is not luck. It’s built through daily habits
Also, keeping a journal or writing essays as a habit every morning?
What utter nonsense - any stimulation through learning expands the interconnectivity of the brain and so creating the very placidity that is required for action or behaviour. A.I. creates answers to enquiries, require the person to read that answer and absorb its content. Therefore strengthening the brain further. Just because of the ease of AI production, does not mean, the interacting agent is not benefitting enormously.
This is amazing 👏 @ Abhishek Veeramalla
Helen Shaw The historical point is a really interesting one, though I wonder if the shift away from descriptive language was as much a deliberate methodological choice as a loss. Either way, you're right that something has been squeezed out.
On grade descriptors, I think the instinct is sound but they tend to describe what "good" looks like without showing students how to get there. I totally agree that training is key. Philosophical thought has to be built somewhere in the curriculum, not just expected to arrive.
Unfortunately, even before this AI has appeared, many ( perhaps most ) students graduated without reading a book. The question is what do people read these days? Only a small intellectually inclined elite reads anything substantial at all. The internet killed reading long time before generative AI. The issue now is that people do not read anything deep, just headlines and bullets on powerpoint and many students think that learning is all a about memorizing sentences, problem patterns, and blackbox procedures. This has proven to be the best strategy to get maximum grades. This model is not sustainable in the era of AI. We got to be more ambitious, and keep challenging the potential of the best students.
Dr. Razali Koroh how does she not understand? If someone doesn't read the relevant texts for their degree, they absolutely should not be awarded that degree.
Thanks for sharing
https://www.linkedin.com/posts/sanjay-kumar-deterministic-ai_the-era-of-cheap-ai-is-over-and-anthropic-share-7463197436405026816-y5hI/