Jun 13, 2026 · 1:03 PM
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Julian Lim

Julian Lim is an entrepreneur, technology writer, and a researcher. He started JL Data Analysis after graduating from NUS in Intelligent Systems. Julian writes about technology innovations and entrepreneurship on Business Times, Asia Pacific Magazine and occasionally contributes to Startup Fortune.
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OpenAI's trial turns its $852 billion rise into a founder warning
Julian Lim ·
OpenAI's trial turns its $852 billion rise into a founder warning
OpenAI's trial with Elon Musk has turned the company's $852 billion rise into a governance test for the AI era. The case shows how nonprofit missions, strategic investors, founder control, and infrastructure-scale valuations can collide long before an IPO.

Dua Lipa's Samsung lawsuit puts AI marketing on notice
Julian Lim ·
Dua Lipa's Samsung lawsuit puts AI marketing on notice
Dua Lipa's reported $15 million lawsuit against Samsung highlights the growing commercial risk around likeness, consent and image rights. For startups building AI creative tools, ad automation and influencer platforms, provenance and permissions are becoming core product features.

Nvidia turns one reasoning model into three with Star Elastic
Julian Lim ·
Nvidia turns one reasoning model into three with Star Elastic
Nvidia's Star Elastic release packages 30B, 23B, and 12B reasoning models into a single checkpoint that can be sliced before deployment. The bigger question is whether elastic checkpoints can help startups control inference costs without adding new serving complexity.

AI leaders are making Nasdaq concentration harder for founders to ignore
Julian Lim ·
AI leaders are making Nasdaq concentration harder for founders to ignore
The Nasdaq's hottest winners are now outpacing the run-up seen before the 2000 peak, but today's AI leaders have stronger earnings and balance sheets. The risk for founders is that venture valuations, exits, and IPO timing are increasingly tied to whether a narrow group of public AI giants can keep proving the spending is worth it.

AI labs face a new fight over who gets to own the upside
Julian Lim ·
AI labs face a new fight over who gets to own the upside
A DeepMind employee's criticism of private AI lab ownership has sparked a live debate about whether regular investors are being shut out of the biggest AI wealth creation. The dispute links startup financing, public-market access, safety incentives and the broader question of who benefits if frontier AI changes the economy.


Nvidia is turning AI funding into a supply chain weapon
Julian Lim ·
Nvidia is turning AI funding into a supply chain weapon
Nvidia has committed about $40 billion to equity deals tied to major AI companies, including OpenAI and Anthropic. The move shows how the chipmaker is using capital to secure demand, shape infrastructure winners and deepen dependency across the AI supply chain.

Qualcomm is positioning itself for the next AI device war
Julian Lim ·
Qualcomm is positioning itself for the next AI device war
Qualcomm CEO Cristiano Amon says the chipmaker is working with major AI players on secretive devices, including OpenAI's first hardware push. The bigger story is the shift from cloud chatbots to phones, wearables, glasses, and AI-native companions that could define the next platform layer.

Telegram's validator push turns Toncoin's rally into a governance test
Julian Lim ·
Telegram's validator push turns Toncoin's rally into a governance test
Toncoin rallied after Pavel Durov said Telegram would become TON's largest validator and take a deeper role in the network. The move strengthens TON's consumer distribution story, but it also raises sharper questions about validator concentration and platform control.

ICE wants smart glasses to make facial recognition harder to ignore
Julian Lim ·
ICE wants smart glasses to make facial recognition harder to ignore
ICE is reportedly exploring smart glasses that would supplement its Mobile Fortify facial recognition app. The move shows how government demand could shape wearable AI before consumer adoption matures, while reviving serious questions about privacy, accuracy and accountability.

Applied Aerospace tests IPO demand as defense suppliers regain momentum
Julian Lim ·
Applied Aerospace tests IPO demand as defense suppliers regain momentum
Applied Aerospace & Defense disclosed a 25% revenue jump in its U.S. IPO filing, giving investors another test of demand for aerospace and defense listings. The deal comes as defense manufacturing, space systems and national security supply chains attract more public market attention.

AI assistants may be teaching users to stop trying
Julian Lim ·
AI assistants may be teaching users to stop trying
A new preprint suggests brief AI-assistant use can reduce persistence and unaided performance, especially when users ask for direct answers. The bigger issue for startups is whether AI products should scaffold judgment instead of replacing it.

OpenAI image users are testing where the new limits now sit
Julian Lim ·
OpenAI image users are testing where the new limits now sit
A viral r/ChatGPT thread has raised questions about whether OpenAI image-generation boundaries have changed, though no confirmed policy shift has been announced. For startups building creator tools and moderation products, the bigger issue is operational risk when model behavior changes without clear notice.

DGX Spark developers are trying to rescue Nvidia's awkward AI box
Julian Lim ·
DGX Spark developers are trying to rescue Nvidia's awkward AI box
DGX Spark is drawing criticism for price, bandwidth and early performance limits, but its developer forum is turning into a serious optimization hub. For founders, the question is whether shared tooling and community work can make expensive local AI hardware more valuable than its raw specs suggest.

Florida Makes Big Data Centers Pay Their Own Power Bills
Julian Lim ·
Florida Makes Big Data Centers Pay Their Own Power Bills
Florida's new data center law requires the largest power users to cover their own grid and infrastructure costs. The move keeps the state open to AI and cloud investment while making ratepayer protection a central part of the data center debate.

Google DeepMind has raised the bar for AI math reasoning
Julian Lim ·
Google DeepMind has raised the bar for AI math reasoning
Google DeepMind's AI co-mathematician has scored 48% on FrontierMath Tier 4, setting a new high-water mark on one of the toughest AI reasoning benchmarks. The result matters because it points toward AI systems that can solve verifiable technical problems, not just generate polished text.

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