Tesla’s new Cybertruck launch and next generation vehicle will be game-changing, with innovations in materials, manufacturing processes, and affordability.
Questions to inspire discussion.
What innovations does Tesla’s new Cybertruck bring?
—The Cybertruck introduces innovations in materials, manufacturing processes, and affordability, including a special ultra strong stainless steel alloy and a new manufacturing process called air bending.
Sandy talks Cybertruck with 5 Tesla Execs! Lars Moravy: Head of Vehicle Engineering Franz von Holzhausen: Head of Design Drew Baglino: Head of Powertrain (battery + motors) and Energy Pete Bannon: Head of Low Voltage David Lau: Head of Software Munro Live is a YouTube channel that features Sandy Munro and other engineers from Munro & Associates.
Cerebras introduces gigaGPT: GPT-3 sized models in 565 lines of code.
GigaGPT is Cerebras’ implementation of Andrei Karpathy’s nanoGPT – the simplest and most compact code base to train and fine-tune GPT models. Whereas nanoGPT can train models in the 100M parameter range, gigaGPT trains models well over 100B parameters. We do this without introducing additional code or relying on third party frameworks – the entire repo is just 565 lines of code. Instead gigaGPT utilizes the large memory and compute capacity of Cerebras hardware to enable large scale training on vanilla torch.nn code. With no modifications, gigaGPT supports long context lengths and works with a variety of optimizers.
Why gigaGPT
While the transformer architecture is simple, training a large transformer on a large number of GPUs is hard. Beyond a few billion parameters, vanilla GPT models run out of memory on even the latest GPUs. Training larger models requires breaking up models into smaller pieces, distributing them to multiple GPUs, coordinating the workload among the workers, and assembling the results. This is typically done via LLM scaling frameworks such as Megatron, DeepSpeed, NeoX, Fairscale, and Mosaic Foundry. Though powerful, these frameworks introduce significant complexity.
Tesla’s Cybertruck is likely to succeed and has high demand, causing legacy automakers to struggle to keep up with Tesla in the electric vehicle market.
Questions to inspire discussion.
Will the Tesla Cybertruck be available in Europe?
—Yes, there are plans to bring the Cybertruck to Europe, and Tesla may even create a smaller version to accommodate European regulations.
Pick-up truck fans let’s goooooo!! The Cybertruck is back once again, and it’s going head-to-head against one of the most powerful pick-ups money can buy — the Ford F-150 Raptor R! So let’s check out how these two almighty machines compare. Starting with the Tesla, we’ve got our hands on the ‘Cyberbeast’ tri-motor edition, which can produce 845hp and 930Nm of torque. This power is sent to all four wheels, and if you’re looking to pick one up it’ll cost you around $96,000.
It’s also pretty damn heavy, tipping the scales at 3,084kg!! Then alongside it we have the F-150. This Raptor R edition comes with a huge 5.2-litre supercharged V8 under the bonnet that can put down 700hp and 870Nm of torque. This power is sent to all four wheels via a 10-speed automatic gearbox, and this truck also comes in lighter than the Cybertruck, weighing in at 2,703kg.
Tesla’s success and potential for “Total Domination” in the automotive industry is driven by their advanced technology and their ability to revolutionize vehicle production.
Questions to inspire discussion.
What is the analyst’s best idea for 2024 regarding Tesla’s stock?
—The analyst’s best idea for 2024 is to short Tesla’s stock, despite the risky and historically unsuccessful nature of such a bet.
Posted in robotics/AI, transportation
AI is divisive. In the modern workplace today, most feel that the impact of Artificial Intelligence (AI) and its new generative strain of wonderment will transform the way we all work in the months and years to come. While some are still reticent to embrace its potential benefits (journalists and people in high-level decision-making roles may be among the more skeptical), data science theorists assure us that even the AI naysayers will soon find a subliminally attractive element of AI functionality coming forward in applications without it announcing itself as some newfangled auto-bot or intelligent assistant.
Among those groups who seem to ready to embrace AI quite readily are web developers, especially those who handle a large amount of image-centric tasks as they work to classify, categorize, manipulate and present pictorial assets for our online applications to illustrate our lives with.
To validate this suggestion, we need to know why working with web images can be such a chore, right? The fact is, advanced image editing and optimizing assets for human accessibility and Search Engine Optimization (SEO) is a key reason web development teams experience resource bottlenecks.
In the world of aviation, safety is paramount. Yet, even with the most stringent regulations and meticulous maintenance, unforeseen circumstances can arise, pushing the boundaries of human courage and resilience. The story of British Airways flight BA5390, which took place on June 10, 1990, is a testament to this.
It’s a tale of chaos, quick thinking, and extraordinary bravery, culminating in a miraculous survival against all odds.
On a sunny June morning in 1990, British Airways flight 5,390 took off from Birmingham, England, bound for Malaga, Spain. Little did the 81 passengers and six crew members know that they were about to embark on a terrifying journey that would test their courage and resilience to the limit.
Perfect for the holiday season.
*Under very specific conditions dictated by Tesla, that is.
Rotor Technologies is now in production on a full-size unmanned helicopter for civilian use. Based on the Robinson R44 Raven II, the R550X flies for more than three hours, at speeds up to 150 mph (241 km/h), carrying up to 1,200 lb (550 kg) of cargo.
According to Torklaw, helicopters have about 9.84 crashes per 100,000 hours of flight time. That’s curiously low, given their reputation and the fact that “general aircraft” have 7.28 crashes per 100,000 hours. But still, they’re notoriously tricky to fly, and there are a growing number of projects attempting to make them much easier, using simple fly-by wire joystick controls, or even simpler one-finger tablet control schemes.
Safest of all, of course, is to leave the humans on the ground altogether, and that’s what New Hampshire company Rotor Technologies has been focused on from its modest hangar at Nashua Airport, about 30 miles (50 km) outside Boston. It’s been flying two R22-based autonomous chopper prototypes since December last year, across nine locations in New Hampshire, Idaho and Oregon. It wrapped up its test campaign in November, having logged “more than 20 hours” of flight time.
