Before you share that dramatic storm map on WhatsApp, check where it came from. A meteorologist has just retracted a map showing Hurricane Isaias's projected path, admitting it was generated by an AI tool and never checked against real forecast models.

The graphic looked official. It spread widely on social media. Then it was debunked, because the storm track was simply made up.

Why a fake map travels so fast

AI-generated visuals carry a quiet kind of authority. A map with coastlines, a cone, a track line: your brain reads it as data. But a generative tool can produce a confident-looking graphic without consulting a single forecast model.

That is the part worth sitting with. We have spent a few years learning that chatbots make things up in text. The same hallucination problem applies to imagery: storm tracks, maps, charts. Anything that looks like evidence.

What forecasters are being told to do

The push now is simple. Label AI-assisted graphics clearly. Then double-check them against official agency data before posting. No shortcuts, even when a storm is moving and everyone wants an update now.

The Malaysian angle

Timing matters here. We are heading into monsoon and flood season, and more people are leaning on AI-assisted weather and flood forecasts passed around on social media and news sites.

So treat any viral flood or rain map as unverified until you match it against official MetMalaysia data. Same goes for local agencies and pages reposting slick-looking graphics: verify first, share later. A wrong map during a flood warning is not a harmless mistake lah.

How to spot the next one

  • Look for the issuing agency name and a timestamp. No source, no trust.
  • Cross-check the track or rainfall warning against the official agency site.
  • Be suspicious of graphics with no label saying whether AI was involved.
  • If a screenshot has no traceable origin, do not forward it.

AI is genuinely useful for drafting and visualising weather information. It is just not a forecast source. Check before you trust, boleh?

Source: Yahoo

Unknown
Unknown

Continue Reading

Explainers 3 min read

Could AI help stop the poaching of Malaysia's prized gaharu trees?

Researchers and conservationists are exploring whether AI-powered image recognition and satellite or drone monitoring could help detect illegal harvesting of gaharu, the valuable agarwood-producing tree that is heavily poached across Malaysian forests. The idea is to use AI to spot suspicious forest clearing patterns, track known poaching routes, or flag suspicious trade listings faster than manual patrols can manage. The approach is still early-stage, more proof-of-concept than deployed system, and faces real challenges around dense canopy cover, funding and enforcement follow-through. It's a useful example of AI being applied to a uniquely Malaysian conservation problem rather than imported wholesale from elsewhere, and worth watching for pilot results from forestry departments or NGOs.

Unknown
Explainers 3 min read

If your team builds AI agents with Langflow, patch now, attackers are harvesting credentials

Security researchers at VulnCheck have confirmed a sharp escalation in attacks exploiting Langflow, a popular open-source framework for building AI agents that IBM acquired via DataStax in 2024. This marks the 12th exploited vulnerability found in Langflow this year, with telemetry showing over 50 exploitation attempts detected in a single day in late August. Attackers are using the flaw to harvest credentials from exposed Langflow instances, putting any organisation running unpatched deployments at risk of data theft. Because Langflow is widely used by developers prototyping AI agents and chatbots, the campaign highlights a broader problem: AI tooling is being adopted faster than it is being secured. Anyone running Langflow should update immediately and audit exposed instances.

Unknown
Explainers 3 min read

A fake video shows a grieving Mahathir, MCMC is now investigating and threatening legal action

Malaysia's communications regulator MCMC says it is probing an AI-generated video circulating online that falsely depicts former prime minister Mahathir Mohamad in a state of grief, and has warned that those who created or knowingly shared it could face legal consequences. The clip, which appears convincingly real, is part of a growing pattern of AI-generated content targeting prominent Malaysian figures without consent. MCMC has not confirmed whether a suspect has been identified but says enforcement action is being considered under existing communications and multimedia laws. The episode underscores how easy generative AI tools have made it to fabricate convincing footage of real people, and how quickly such clips can spread on social media before being debunked.

Unknown