Even as Singapore positions itself at the frontier of AI technology, human intelligence still remains critical, according to the city state’s foreign minister Vivian Balakrishnan.“We should beware of just trying to throw every problem, and every step in a solution, at a large-language model (LLM),” he said on Saturday at the AI Engineer conference, referring to deep-learning technology behind generative AI services such as ChatGPT.Balakrishnan warned against discarding traditional AI models programmed by humans, citing the limitations of the LLM – such as high costs and finite computing power.
SRCSouth China Morning Post
LANGEN
LEANCenter-Right
WORDS89
ENT6
SAT · 2026-05-16 · 07:04 GMTBRIEF NSR-2026-0516-76712
NSR-2026-0516-76712News Report·EN·Technology
Singapore minister reveals why human touch still important in AI era
Singapore's Foreign Minister Vivian Balakrishnan stated that human intelligence remains crucial even as the nation advances in AI technology. Speaking at the AI Engineer conference on Saturday, he cautioned against relying solely on large language models (LLMs), the technology behind generative AI like ChatGPT.
Kolette LimSouth China Morning PostFiled 2026-05-16 · 07:04 GMTLean · Center-RightRead · 1 min
South China Morning PostFIG 01
Reading time
1min
Word count
89words
Sources cited
1cited
Entities identified
6entities
Quality score
100%
§ 01
Briefing Summary
AI-generatedNEWSAR · AI
Singapore's Foreign Minister Vivian Balakrishnan stated that human intelligence remains crucial even as the nation advances in AI technology. Speaking at the AI Engineer conference on Saturday, he cautioned against relying solely on large language models (LLMs), the technology behind generative AI like ChatGPT. Balakrishnan advised against discarding traditional AI models programmed by humans, highlighting LLMs' limitations, including high costs and finite computing power. He emphasized that human intelligence is still critical in addressing problems and developing solutions in the AI era.
Confidence 0.85Sources 1Claims 4Entities 6
§ 02
Article analysis
Model · rule-basedFraming
Technology
Human Interest
Tone
Measured
AI-assessed
CalmNeutralAlarmist
Factuality
0.70 / 1.00
Factual
LowHigh
Sources cited
1
Limited
FewMany
§ 03
Key claims
4 extracted01
LLMs have limitations such as high costs and finite computing power.
quoteVivian Balakrishnan
Confidence
1.00
02
Traditional AI models programmed by humans should not be discarded.
quoteVivian Balakrishnan
Confidence
1.00
03
We should beware of just trying to throw every problem, and every step in a solution, at a large-language model (LLM).
quoteVivian Balakrishnan
Confidence
1.00
04
Human intelligence remains critical even as Singapore advances in AI technology.
quoteVivian Balakrishnan
Confidence
1.00
§ 04
Full report
1 min read · 89 words§ 05
Entities
6 identifiedKey playerOppositionContextPositiveNeutralNegative
Organizations1
Locations1
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Keywords & salience
9 termsartificial intelligence
1.00
human intelligence
0.90
large-language model
0.80
generative ai
0.70
ai engineer conference
0.60
vivian balakrishnan
0.50
singapore
0.50
deep-learning technology
0.40
traditional ai models
0.40
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Topic connections
Interactive graph Network visualization showing 51 related topics
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