AI Weekly Malaysia

Waymo has opened its next-generation robotaxi, the Ojai, to all riders in Los Angeles, Phoenix, and San Francisco, with roughly 300 units currently in its commercial fleet. The Ojai is a Zeekr minivan built on Geely's SEA-M platform, equipped with Waymo's sixth-generation modular self-driving system and Google's Gemini AI as an in-car rider assistant. Waymo plans to expand the Ojai to Denver, Las Vegas, and San Diego later this year.

Why: The Ojai runs on a Chinese EV platform (Zeekr/Geely SEA-M) paired with Gemini AI as an in-car assistant — a concrete example of LLM-powered agents embedded in consumer hardware at scale. Builders working on AI agents or automotive/ride-hailing tech can study how Waymo integrates Gemini for rider interaction and how modular sensor stacks are designed to port across vehicle types. No direct Malaysia impact, but the Zeekr/Geely supply chain connection is relevant if Chinese EV platforms expand into Southeast Asian mobility markets.

Uber is investing in and partnering with Zipline to add drone delivery to Uber Eats, targeting one million drone deliveries per day by end of 2029, with first deliveries starting in Zipline's existing markets by end of 2026. Uber is replicating its autonomous-vehicle platform strategy—onboarding many partners rather than building in-house—having committed over $10B to dozens of AV providers, though its relationship with Waymo is deteriorating and expected to end in 2028. Zipline's drones are pitched as enabling 5-10 minute order fulfillment.

Why: For SaaS founders, the notable pattern is Uber's aggregator-platform play: instead of owning drone or AV infrastructure, it invests small stakes in many partners and routes demand through its marketplace. If you build logistics, last-mile, or quick-commerce tooling, expect large marketplaces to increasingly act as distribution rails for specialized hardware/autonomy partners rather than building their own. For Malaysian builders, this is mostly a watch-and-learn signal; drone delivery regulation and airspace infrastructure locally are not at this stage, but the platform-vs-build tension is directly applicable to any marketplace or aggregator startup deciding what to own versus partner.

Waymo has begun deploying its first custom AI ASIC, built on TSMC's 5nm process, to replace the Intel FPGAs it previously used for sensor processing in autonomous vehicles. The chip claims 1,000+ TOPS (likely INT8) and is optimized for both CNNs and transformer models, incorporating data from over 200 million miles of autonomous driving, with heavy focus on latency and redundancy for automotive environments.

Why: This is a niche hardware story for AV/robotics specialists; most builders in the audience won't change tooling or architecture decisions because of it. The only broadly useful signal is the FPGA-to-ASIC migration pattern: when latency and compute density become critical enough, general-purpose programmable hardware gives way to fixed-function silicon—a tradeoff worth noting if you ever build real-time edge ML systems.

Nevada's Transportation Authority approved permits for Tesla (up to 5,000), Waymo (1,000), and Uber (1,000 via Motional and Zoox) to operate commercial robotaxis in Clark County/Las Vegas over the next 12 months. Tesla's Cybercab chief engineer Eric Early admitted they likely won't deploy more than ~2,500 vehicles in that timeframe, citing non-technology constraints.

Why: This is a US regulatory and deployment story with no direct impact on Malaysian or SEA builders. The only transferable signal is that even well-funded autonomous vehicle companies are hitting operational (not just technical) ceilings at scale — relevant only if you work in mobility or robotics.

A viral video shows an Amazon Prime Air delivery drone dropping a customer's package directly into her swimming pool in Texas, surfacing the same week Amazon announced plans to expand Prime Air to 500 cities. The article text itself is mostly site boilerplate; the substantive detail is limited to the title.

Why: For builders shipping autonomous or robotics-driven products, this is a concrete reminder that scaling announcements can outpace real-world reliability. If you work on drone, last-mile delivery, or any autonomous-actuation system, expect your worst edge cases to go viral and plan QA around unpredictable drop zones—not just nominal delivery coordinates.

The article title indicates Waymo has doubled its lobbying spending amid a robotaxi competition with Uber, but the provided article body contains only cookie consent and privacy policy boilerplate—no substantive reporting is present in the text.

Why: No actionable detail is available from the article text. The title alone signals that autonomous ride-hailing regulation is becoming a lobbying battleground, but without the article's specifics on spending figures, legislative targets, or market impact, builders cannot make informed decisions.

Malaysian P2P financing platform microLEAP signed an MoU with Provident Banc Berhad to explore alternative financing and financial education initiatives for Malaysian SMEs, covering both Shariah-compliant and conventional P2P structures. The announcement was made at an industry event on Islamic financing and financial stress, but no specific products, timelines, or funding amounts were disclosed.

Why: This is an MoU to 'explore' collaboration with no concrete product, API, pricing, or launch detail. Malaysian startup founders should note that P2P and Shariah-compliant financing channels exist as alternatives to traditional bank loans, but there is nothing actionable from this announcement itself.

Also, a micromobility startup spun out of Rivian in 2025, raised a $150M Series D led by Prysm Capital with existing backers Eclipse, Greenoaks, and MVP Ventures, bringing total funding to $455M in under two years. The company is expanding beyond pedal-assist e-bikes and commercial cargo quads into autonomous delivery vehicles, leveraging the same electric architecture across form factors, with DoorDash as a commercial partner from a prior $200M round.

Why: Minimal practical impact for this audience. This is a hardware/transportation funding announcement with no software, API, cloud, or AI-tooling implications builders can act on. The autonomous delivery angle is early-stage and tied to DoorDash's commercial agreement, not something accessible to independent developers or SaaS founders.

A CNBC reporter drove hundreds of miles comparing Tesla FSD (Supervised) and Rivian's new Autonomy+ system, concluding Rivian has surpassed legacy competitors like GM but still trails Tesla. Rivian's in-vehicle AI assistant launched May 12, 2026, and the company expects to deliver point-to-point driving later in 2026, positioning itself as a safety-guardrail alternative to Tesla's approach.

Why: This is a consumer auto review with no direct takeaway for builders shipping AI/ML, agents, SaaS, or infrastructure. The only marginally relevant detail is Rivian's in-vehicle AI assistant launching May 12, 2026, but there is no technical, API, or platform information for developers to act on.