The arrival of OpenAI’s DALL-E 2 in the spring of 2022 marked a turning point in AI when text-to-image generation suddenly became accessible to a select group of users, creating a community of digital explorers who experienced wonder and controversy as the technology automated the act of visual creation.

But like many early AI systems, DALL-E 2 struggled with consistent text rendering, often producing garbled words and phrases within images. It also had limitations in following complex prompts with multiple elements, sometimes missing key details or misinterpreting instructions. These shortcomings left room for improvement that OpenAI would address in subsequent iterations, such as DALL-E 3 in 2023.

On Tuesday, OpenAI announced new multimodal image generation capabilities that are directly integrated into its GPT-4o AI language model, making it the default image generator within the ChatGPT interface. The integration, called “4o Image Generation” (which we’ll call “4o IG” for short), allows the model to follow prompts more accurately (with better text rendering than DALL-E 3) and respond to chat context for image modification instructions.

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The first ever fatal crash involving a fully driverless vehicle occurred in San Francisco on January 19. The driverless vehicle belonged to Waymo, but the crash was not Waymo’s fault.

Here’s what happened: A Waymo with no driver or passengers stopped for a red light. Another car stopped behind the Waymo. Then, according to Waymo, a human-driven SUV rear-ended the other vehicles at high speed, causing a six-car pileup that killed one person and injured five others. Someone’s dog also died in the crash.

Another major Waymo crash occurred in October in San Francisco. Once again, a driverless Waymo was stopped for a red light. According to Waymo, a vehicle traveling in the opposite direction crossed the double yellow line and crashed into an SUV that was stopped to the Waymo’s left. The force of the impact shoved the SUV into the Waymo. One person was seriously injured.

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Uber has new shuttle routes for NYC travelers. Less than six months after launching bus rides between LaGuardia Airport and Manhattan, the company is adding four routes between John F. Kennedy International Airport (JFK) and Manhattan.

Beginning on Thursday, you can book up to four seats for one of the new routes. You can reserve them as early as seven days in advance or as late as two minutes before you hop on. Each bus has a 14-passenger limit at launch. Much like your flight, you can bring one piece of luggage weighing up to 50 lbs and a personal item that fits in your lap or under your seat. When you get onboard, the driver will verify your identity with a QR code and PIN.

The four new routes include stops at either Port Authority Terminal and Grand Central Terminal or Chinatown and Atlantic Terminal. Each of those two Manhattan courses is split into two additional routes — one to JFK’s Terminal 4 and another to Terminal 5. They run every 30 minutes, from 5AM to 10:45PM, all week.

The JFK shuttles will typically cost “up to $25” for one way, but Uber is launching the new rides with introductory one-way pricing of $10 through April 30.

Uber says it’s booked hundreds of thousands of shuttle seats since it launched its LaGuardia routes last fall. Although it can be a handy way to get around (and cheaper than hailing a cab), there’s a free public transit shuttle running between the airport and the subway. As Redditor u/Kufat opined about Uber’s shuttles in October, “This is for tourists who think they’ll get stabbed the moment they enter the subway.”

This article originally appeared on Engadget at https://www.engadget.com/transportation/uber-adds-new-shuttle-rides-between-jfk-airport-and-manhattan-100039821.html?src=rss

The U.S. Space Force has certified United Launch Alliance’s Vulcan Centaur rocket for national security missions after successful test flights and resolution of a booster nozzle issue. This certification allows ULA to join SpaceX in conducting launches under the National Security Space Launch program, with Vulcan missions expected to begin this summer. SpaceNews reports: “Thank you to all our customer partners who have worked hand-in-hand with us throughout this comprehensive certification process. We are grateful for the collaboration and excited to reach this critical milestone in Vulcan development,” said Tory Bruno, president and chief executive of United Launch Alliance in a ULA statement about the vehicle’s certification.

Bruno said at the roundtable that the next launch by ULA will be of its Atlas 5, carrying a set of Project Kuiper broadband satellites for Amazon. That launch is expected as soon as next month. He said then that would be followed by the first two Vulcan national security launches, missions designated USSF-106 and USSF-87. ULA did not give a schedule for those upcoming Vulcan launches but Space Systems Command, in a summary accompanying its press release, said the first NSSL mission on Vulcan is planned for the summer. Bruno said at the roundtable that the payloads for those missions have “complex processing” requirements beyond a typical mission, and did not state how long it would take them to be ready for a launch.

Bruno said ULA is projecting a dozen launches this year, split roughly evenly between Atlas and Vulcan and between national security and commercial missions. ULA has been stockpiling components, such as BE-4 engines and solid rocket boosters, needed for those missions. “We’re all staged up and ready, and as spacecraft show up, we’ll be able to fly them,” he said. He noted the company wants to get to a “baseline tempo” of two launches a month by the end of this year and perform 20 launches next year.

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Scientists in China successfully transplanted a genetically modified pig liver into a brain-dead patient, where it functioned for 10 days. The liver, modified to reduce immune rejection, produced key proteins and bile, showing compatibility and offering hope for future short-term xenotransplants. The Guardian reports: The surgery, at a Chinese hospital last year, is thought to mark the first time a pig liver has been transplanted into a human. It raises the prospect of pig livers serving as a “bridging organ” for patients on the waiting list for a transplant or to support liver function while their own organ regenerates. […] The latest procedure was carried out in a 50-year-old man diagnosed with brain death after a severe head injury. The patient’s own liver was intact and, in a surgery that took more than 10 hours, the organ taken from a genetically modified Bama miniature pig was plumbed into his blood supply as an additional liver.

The pig had six genetic modifications aimed at preventing immune rejection. These included deactivating genes that contribute to the production of sugars on the surface of pig cells, which the human immune system attacks, and introducing genes that express human proteins to “humanize” the liver. After the transplant, the pig liver showed signs of functioning, including producing bile, which helps break down fats in the digestive system, and porcine albumin, a blood protein. The team behind the advance, described in the journal Nature, said it was not clear whether the liver would have been able to fully support the patient, given that he had an existing liver and because the liver was removed after 10 days at the request of his family.

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An anonymous reader quotes a report from TechCrunch: It’s only been a day since ChatGPT’s new AI image generator went live, and social media feeds are already flooded with AI-generated memes in the style of Studio Ghibli, the cult-favorite Japanese animation studio behind blockbuster films such as “My Neighbor Totoro” and “Spirited Away.” In the last 24 hours, we’ve seen AI-generated images representing Studio Ghibli versions of Elon Musk, “The Lord of the Rings”, and President Donald Trump. OpenAI CEO Sam Altman even seems to have made his new profile picture a Studio Ghibli-style image, presumably made with GPT-4o’s native image generator. Users seem to be uploading existing images and pictures into ChatGPT and asking the chatbot to re-create it in new styles.

OpenAI’s latest update comes on the heels of Google’s release of a similar AI image feature in its Gemini Flash model, which also sparked a viral moment earlier in March when people used it to remove watermarks from images. OpenAI’s and Google’s latest tools make it easier than ever to re-create the styles of copyrighted works — simply by typing a text prompt. Together, these new AI image features seem to reignite concerns at the core of several lawsuits against generative AI model developers. If these companies are training on copyrighted works, are they violating copyright law?

According to Evan Brown, an intellectual property lawyer at the law firm Neal & McDevitt, products like GPT-4o’s native image generator operate in a legal gray area today. Style is not explicitly protected by copyright, according to Brown, meaning OpenAI does not appear to be breaking the law simply by generating images that look like Studio Ghibli movies. However, Brown says it’s plausible that OpenAI achieved this likeness by training its model on millions of frames from Ghibli’s films. Even if that was the case, several courts are still deciding whether training AI models on copyrighted works falls under fair use protections. “I think this raises the same question that we’ve been asking ourselves for a couple years now,” said Brown in an interview. “What are the copyright infringement implications of going out, crawling the web, and copying into these databases?”

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sciencehabit quotes a report from Science.org: Whales sing, orcas squeal, and sea turtles croak. But sharks are more the strong, silent type. Now, researchers report the first evidence that sharks make sounds, too, described today in Royal Society Open Science. The animals may be making the sounds — a series of clicking noises — by snapping their flat rows of teeth, which are blunt for crushing prey. The sharks can hear mostly low-frequency noise, and the clicks they emit are higher pitched, which suggests they are not for communicating with other rigs. It’s possible they are a defensive tactic. Marine mammals that eat rigs, such as leopard seals, can hear in the frequency range of the rig clicks, but the researchers question whether a few clicks would deter an attack. The sounds might be part of their response to being startled, the team says.

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JPMorgan Chase used a quantum computer from Honeywell’s Quantinuum to generate and mathematically certify truly random numbers — an advancement that could significantly enhance encryption, security, and financial applications. The breakthrough was validated with help from U.S. national laboratories and has been published in the journal Nature. From a report: Between May 2023 and May 2024, cryptographers at JPMorgan wrote an algorithm for a quantum computer to generate random numbers, which they ran on Quantinuum’s machine. The US Department of Energy’s supercomputers were then used to test whether the output was truly random. “It’s a breakthrough result,” project lead and Head of Global Technology Applied Research at JPMorgan, Marco Pistoia told Bloomberg in an interview. “The next step will be to understand where we can apply it.”

Applications could ultimately include more energy-efficient cryptocurrency, online gambling, and any other activity hinging on complete randomness, such as deciding which precincts to audit in elections.

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