National university of sex shoves AI down employees' throats, creates more problems for them at work than if they hadn't use AI!

[OYK]

Eight NUS employees, speaking to The Straits Times on the condition of anonymity, say that what is happening feels at times like the university is putting AI adoption ahead of a clear vision of how AI should improve working life.

They note how staff members are using AI to transcribe meeting minutes, write e-mails or create AI-generated art for university events.

At the same time, they have also noticed an attendant uptick in AI-related errors that create more clean-up work than if AI had not been introduced.

Meanwhile, attempts at incorporating AI into everyday tasks like filtering out postgraduate candidates in admissions processes have caused glitches that resulted in more manual work, says an employee at the Faculty of Arts and Social Sciences.

“The reality is that AI is not advanced enough to help us do anything that’s worth doing in our office,” the employee adds. “We have to expend double the effort to fix it.”

https://www.straitstimes.com/life/ai-vs-workers-is-tracking-ai-usage-the-wrong-kpi?ref=latest

 

[Aaron carter]

Post in thread 'Today's so-called AI is a total farce, for it's just taking automation to another level. Nothing more.'

Jun 4, 2026

Personally, the real AI is still light years away. Dense motherfuckers are getting stoked for nothing over chatbots and more shitty chatbots.

It is always 10yrs away just like nuclear fusion

• k1976

 

[eatshitndie]

hope for cost overruns and budget deficits when national up skirt starts using claude ai with pay per use tokens.

 

[bigozt]

Academics are stupid

 

[joemartini]

these are deadwood civil servants?? axe them and save costs for taxpayers.
that is the suggestions put forward by the so-called experts from NUS.

knn..NUS - National Up Skirt.

 

[True Believer]

Tasks are repetitive actions needed to get things done i.e. formatting spreadsheets, writing boilerplate code, summarising legal documents, drafting basic emails etc. Purpose is the ultimate goal of the role i.e. solving complex problems, building client relationships, strategic decision making, driving innovation etc. AI is designed to automate the tasks, but not the purpose. I can use AI to offload 80% of my mundane, time-consuming tasks to digital assistants. This frees me to focus entirely on higher-value strategic work.

 

[404]

When AI is first applied to any project, it is in the infant stage, expects to encounter various challenges and limitations. As the technology matures, it begins to learn from data, improve its algorithms, and become more efficient in its tasks. This evolution can lead to significant enhancements in accuracy, productivity, and overall performance.

 

[k1976]

Eight NUS employees, speaking to The Straits Times on the condition of anonymity, say that what is happening feels at times like the university is putting AI adoption ahead of a clear vision of how AI should improve working life.

They note how staff members are using AI to transcribe meeting minutes, write e-mails or create AI-generated art for university events.

At the same time, they have also noticed an attendant uptick in AI-related errors that create more clean-up work than if AI had not been introduced.

Meanwhile, attempts at incorporating AI into everyday tasks like filtering out postgraduate candidates in admissions processes have caused glitches that resulted in more manual work, says an employee at the Faculty of Arts and Social Sciences.

“The reality is that AI is not advanced enough to help us do anything that’s worth doing in our office,” the employee adds. “We have to expend double the effort to fix it.”

https://www.straitstimes.com/life/ai-vs-workers-is-tracking-ai-usage-the-wrong-kpi?ref=latest

Because Art n Social Science is not AI trained hard enough?

 

[k1976]

When AI is first applied to any project, it is in the infant stage, expects to encounter various challenges and limitations. As the technology matures, it begins to learn from data, improve its algorithms, and become more efficient in its tasks. This evolution can lead to significant enhancements in accuracy, productivity, and overall performance.

U need a lot good baseline data to train up the model for certain level of competency. But if there is any small changes or discrepancies, it will affect the AI model efficiency and accuracy.

13

Generative AI is a type of artificial intelligence that creates new content—like text, images, or code—rather than just following rules. Since you are comparing "Generative AI vs. Generative AI," you might be looking at how different models (like ChatGPT vs. Google Gemini) compare, or how Generative AI differs from older, traditional AI. [1, 2, 3, 4]

Traditional AI vs. Generative AI
To understand what makes generative AI special, it helps to compare it to traditional AI (also called predictive or discriminative AI). [1, 2]

• • Traditional AI analyzes existing data to find patterns, make decisions, or predict outcomes. Think of it like a traffic app—it looks at current road speeds and routes you on the best existing path, but it doesn't build a new road. [1, 2]
  • Generative AI goes a step further and creates entirely new things based on the patterns it learned during its training. Think of it like an architect—it looks at thousands of house designs, and then draws a brand-new floor plan.

 

[k1976]

Resistance is futile

Enjoy

 

[k1976]

Generative AI has arrived massively in Singapore, transforming from a trendy tool into a core national priority, with the market expected to reach $5.09 billion by 2030. The government has dedicated over S$1.6 billion to fund investments, attract tech giants like Google and OpenAI, and upskill 100,000 workers to become "AI bilingual". [1, 2]
The arrival and integration of GenAI in Singapore cover three main areas:

1. Corporate and Business Adoption
Businesses are shifting from trial to practical application, supported by the Infocomm Media Development Authority (IMDA). [1, 2, 3]

• • The GenAI Playbook & Navigator: These tools guide small and medium-sized enterprises (SMEs) to confidently use pre-approved AI solutions and access grant support. [1]
  • GenAI Sandboxes: Launched by EnterpriseSG and IMDA, these allow local companies to experiment with and evaluate specialized GenAI tools for retail, F&B, and education. [1, 2]
  • Global Hub Expansion: Tech leaders like OpenAI, Nvidia, and Google DeepMind have established major research labs and innovation centers in Singapore to serve the APAC region. [1, 2]

2. Workforce and Education
To prevent a talent gap, Singapore has embedded GenAI training into the broader ecosystem, from primary institutions to the workforce. [1, 2]

• • SkillsFuture: Individuals can explore various AI learning pathways through the SkillsFuture portal and receive premium AI tool subscriptions for signing up for selected courses. [1]
  • National AI Impact Programme: Targets 100,000 workers to help them integrate existing domain knowledge with AI proficiency. [1]
  • Higher Education Integration: Students across Institutes of Higher Learning are participating in advanced GenAI boot camps, ensuring they graduate fully AI-fluent. [1, 2]

3. Governance and Privacy
Singapore aims to be a global leader in trusted and responsible AI. [1]

• • AI Verify Framework: Expanded to cover GenAI, this framework helps developers test applications for risks like bias and hallucinations.
  • Personal Data Protection Commission (PDPC): Singapore has proposed new guidelines to protect individuals, requiring mandatory notifications when companies use personal data to train generative AI models. [1, 2, 3, 4]