Bro just use chill mode. Reduce the acceleration and regen.

Call bank temporarily increase limit je

You can deposit rm9K into your credit card account and it will allow you to charge rm16K.

Read last month about FSD testing in Australia….

But somehow, I think FSD legalisation in Malaysia is a far fetched dream….

Agreed, somehow I believe one main reason would be cause Malaysia allows for lane-splitting by motorcycles on our roads.
It just adds additional layers of complexity to the AI model.
Well not just Malaysia, a lot of the other SEA countries as well.

Not saying it's not possible, just needs more data and training required by the AI to familiarise itself and adhere with the road situation.

Well, there are reports saying that FSD testing on public roads is already underway in Japan a few days ago. Furthermore, Tesla seems to already have plans to bring FSD to a country just beside us, Thailand. If Tesla manage to get the green light in Thailand, I don't see why FSD couldn't come to Malaysia. Fingers crossed.

I used to think like this too until I saw a lot of FSD videos from China covering various very difficult scenarios (and FSD handled them perfectly). I think the AI is already very advanced and matured.

Time to Dm Elon on X!!

they just need to train the AI to adhere to driving in india roads... it can then drive anywhere...

Thailand have tuk tuk to look for but hey they aren't as kaolat in lane splitting as our bikers.

even basic autopilot is a hazard in malaysia with those pesky bikers cutting lanes. tried a few times and had some close calls. so ill only use FSD or autopilot on clear highways.

Tesla's 'Autopilot' is just a basic Lane Centering + Traffic Aware Cruise Control. There's no AI involved unlike FSD (which is not in Malaysia yet). We should definitely use autopilot only on clear highways.

Exactly... Autopilot is Lane Keep + TACC lor... nothing special.

Some cars called is ICC... lol

question: how does autopilot detect lane lines? how to detect other vehicle speed surrounding Tesla? take note AI does not mean FSD.

It's by vision recognition, and feeding into program's algorithm for decisions. For me, AI means the decision is coming from the result of a prediction model that is trained thru large number of similar and relevant data, with no direct program's algorithm involved (at least not in FSD case, LLM or any end-to-end AI model).

(Note: I'm not an expert in this topic so please take my opinion with a grain of salt)

https://www.regami.solutions/post/autonomou...s%20with%20time.

Extract from link above

How Tesla Autopilot uses an AI-Powered Vision System

Tesla has set itself apart by embracing a full-vision strategy in autonomous driving as opposed to incorporating LiDAR, typical in other driverless platforms. Tesla uses eight cameras with high resolution strategically located on the car in its Full Self-Driving (FSD) system, giving a vision of 360 degrees. Deep-learning models that are part of Tesla interpret and understand visual information and make instant judgments about how to drive.

This is where edge computing comes in, as Tesla's onboard computer processes information locally, eliminating the need for cloud connectivity and ensuring faster, more precise decision-making. This enables the vision system to process and react to challenging driving situations in real-time, even with limited internet coverage.
Device engineering is the driving force for Tesla, since the firm develops and refines hardware such as cameras, sensors, and the FSD chip to work harmoniously with its AI software to make the vision system run at maximum efficiency.

The computer vision system powered by AI works like human sight. Rather than relying on costly LiDAR sensors, Tesla's software learns in real time from hundreds of millions of miles of driving data. The neural network that powers Tesla's Autopilot is trained from large datasets that are harvested from Tesla cars all over the globe, enabling it to enhance lane detection, object identification, and path planning capabilities with time.
Tesla vision system incorporates several important aspects that lead to its autonomous capabilities:
Neural Network-Based Perception: Can accurately identify cars, pedestrians, traffic lights, and road signs.
Vision-Only Strategy: Reads camera feed to define the vehicle's location and move about safely without external sensors.
Self-Learning Models: Learns through repeated software update cycles via real-world driving feedback.

Real-World Benefits of Tesla's Vision System

Tesla's artificial intelligence-based vision system offers some concrete advantages which enhance safety, efficiency, as well as ease of driving. These benefits place Tesla at the vanguard of autonomous driving, setting new levels of AI-led automation.

1. Greater Safety & Crash Avoidance
One of the greatest advantages of Tesla's vision system is that it avoids accidents. Autopilot constantly monitors the road for potential threats, relying on AI to anticipate and avoid hazards. The system is capable of activating Automatic Emergency Braking (AEB) should something suddenly block the path, making collisions less likely.
Besides, Tesla's forward-collision warning system uses the vision system to scan the road ahead for cars and warn the driver of potential hazards. This system considerably enhances road safety by responding quicker than human reflexes under perilous situations.

2. Adaptive Cruise Control & Lane-Keeping Assistance
Tesla's Autopilot employs a vision system powered by AI to facilitate Traffic-Aware Cruise Control (TACC) and Autosteer, which adjust speed and lane position according to the traffic situation. Unlike legacy cruise control, Tesla's adaptive system adjusts speed dynamically based on surrounding cars' behavior.
Lane-keeping support keeps the vehicle in the center of its lane, even on turns. The vision system reads lane markings and adjusts in real-time, thereby cutting driver fatigue and overall driving comfort.

Hi, i have gotten a new quotation based on a "much" lower Sum Insured

Instead of following my Car Value at 100% (original quotation), i have decided to lower it to the max to just 180k to drive down the premium.

This is as below screenshot:

Thinking hard if i should drive down the Windscreen to 6k instead of 8k, it will save me about rm300, and I have seen a lot of post about people fixing the windscreen only using 6k +/- (that is the front, not the top glass, top glass need about 8k)

What do you guys think?

I'd prefer to be on the safer side because a Tesla's roof is full of glasses. If a car doesn't have a glass roof then you should drive down the premium by all means.

i also insured windscreen at a lower amount, if necessary just self top up the differences lo

To put into context, although I think I am just unlucky, my windscreen cracked twice within 2 months.

After first accident, I topped up to cover back the windscreen. So my 2nd claim was also under insurance.

I am still thinking whether I want to top up to cover back the windscreen again, although my insurance renews in December....