‹ BackNewsTesla

Tesla

Tesla cuts RAM in AI5 and AI6 chips to speed Optimus production
Tesla
2026-10-01 07:59:45

Tesla FSD review in Taiwan remains stuck in document supplements, with approval now seen no earlier than Q2 2027

Tesla’s Full Self-Driving (Supervised) review in Taiwan is still stalled at the document confirmation and supplementary filing stage, according to the Vehicle Safety Certification Center. The case has not yet cleared the technical review meeting, a key first step in the approval path. Rechecking its own four-stage timeline first published on July 15, BlockTempo said that initial estimates are now running more than two months behind schedule. Based on the revised timeline, the outlet said the earliest possible completion date for certification has shifted from late 2026 to the beginning of the second quarter of 2027. Under a more conservative scenario, the process could slip into the second half of 2027. The recalculation assumes the first stage wraps up in mid-November at the earliest, followed by ministry approval, road testing, a safety validation report review, and final certification. At the same time, Tesla Taiwan has opened Vehicle Operator positions in both Taipei and Kaohsiung. The roles require driving prototype test vehicles for six to eight hours a day on fixed routes and public roads, in different weather and time conditions. BlockTempo said the hiring points to preparation for local road data collection, but does not mean the regulatory review is close to completion. The report also noted that Tesla has already shifted FSD sales in Taiwan from a one-time purchase model to a subscription model, while feature activation remains dependent on regulatory clearance.

20
Tesla FSD review in Taiwan remains stuck in document supplements, with approval now seen no earlier than Q2 2027
Tesla had factory workers wear motion-capture gear to train Optimus on their own jobs
Tesla Lines Up $30 Billion in Credit Facilities as Free Cash Flow Turns Negative
Policy Regula
2026-09-30 21:00:57

Jensen Huang and Elon Musk frame “superintelligence” around power, computing and safety

ABMedia reported that U.S. President Donald Trump, through an executive order, set the policy direction for artificial intelligence around “Superintelligence,” or SI, and argued that the word “Artificial” should be removed as the industry moves beyond AI. At an America.gov event, Nvidia CEO Jensen Huang and Tesla founder Elon Musk discussed how that idea could translate into industrial practice, focusing on electricity supply, orbital computing, data center economics and controls for autonomous agents. According to the report, Musk linked power consumption directly to economic output, saying that every 1% increase in electricity use could create an opportunity for GDP to rise by 1% as well. He said the sector is looking at grid upgrades and market-driven energy development, including fusion, fission and advanced battery storage, to meet rising generative computing demand. He also described “Orbital Computing” as a way to send computing hardware into orbit with heavy-lift rockets and tap solar power in space. Huang, for his part, described the shift from traditional data centers to “superintelligence factories” that generate ongoing economic value. On safety, the report said Nvidia is using Open Shell sandboxing to isolate agents and restrict access, while Bluefield chips provide external real-time monitoring. ABMedia also said the industry has signed a joint statement with the White House covering internal controls and third-party audits.

20
Jensen Huang and Elon Musk frame “superintelligence” around power, computing and safety
Tesla secures $30 billion in new credit lines for Cybercab and Optimus expansion
Musk says SpaceX and Tesla target 200 gigawatts of solar production a year