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Elaborate 50th anniversary party to be held at Apple Park

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In what’s probably the culmination of Apple’s 50th anniversary celebrations, maybe we’ll get to see Tim Cook dance again at a large-scale party now being planned at Apple Park.

Abstract black background with glowing concentric oval bands in rainbow colors, forming a hollow ring shape that appears threedimensional and futuristic
Apple Park is to host an elaborate 50th anniversary party

The anniversary celebrations were started by Tim Cook writing an open letter about Apple’s five decades, and since then events have followed in New York, China, South Korea, France, and Thailand. More are expected in the UK, Canada, and Australia, but probably the biggest one will be at Apple Park.
According to Bloomberg, Apple is planning what’s described as “an elaborate 50th birthday party” at its Cupertino, California headquarters. There are no further details in the article, and not even confirmed dates, but there is supposition that John Ternus will be center stage as the most likely next CEO of the company.
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10 startups chosen for Plug and Play’s third Seattle-area accelerator cohort

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Startup founders who pitched for a chance to join the latest Plug and Play Cohort. (Photo courtesy of Plug and Play)

Plug and Play has selected the 10 startups that will take part in its third Seattle-area accelerator cohort as the program marks its one-year anniversary in the region.

The companies — nine of which are Seattle based — are participating in a 12-week program running through mid-June. Cohort participants are innovating across enterprise software, biotech, physical AI, robotics, and health tech.

“Seattle has one of the deepest pools of technical talent in the world, and this cohort reflects that,” said Jack Callaghan, director of Plug and Play Seattle, in a news release Monday.

Each startup receives one-on-one guidance to refine business models, strengthen go-to-market strategies, and build strategic partnerships. The program also supports the development of proof-of-concepts, pilot projects, and commercial relationships.

Here are the 10 startups, with descriptions of their work provided by Plug and Play:

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  • Ally AI, Seattle. An AI-powered customer engagement platform built specifically for auto dealerships, offering 24/7 intelligent virtual agents across multiple communication channels.
  • Clockwork Bio, Seattle. Developing the data engine to power the AI revolution in drug discovery by leveraging AI at every step of the Experimental Biology Loop.
  • ElastixAI, Seattle. Developing a novel AI inference infrastructure that co-designs machine learning optimizations, the inference software stack, and the compute backend together in real time.
  • Glacis, Seattle. Building the trust infrastructure for production AI by providing a cryptographically verifiable layer that independently attests every AI decision in real time.
  • ImYoo Health, Sunnyvale, Calif. A direct-to-consumer single-cell transcriptomics company aiming to deliver personalized, biology-driven health insights by connecting people with similar immune profiles.
  • Reflection Robotics, Seattle. Building robot foundation models that make it dramatically faster and cheaper to automate physical tasks in manufacturing without requiring custom hardware or bespoke machines.
  • Sigma Genetics, Seattle. Building a non-invasive device that can deliver charged molecules, such as DNA, RNA, and proteins into patient cells to treat the most challenging diseases.
  • Strum AI, Seattle. Building an AI-first platform designed to lower the barrier for any enterprise to adopt algorithm-driven decision-making for supply chain excellence.
  • Tibbling Technologies, Seattle. A research-driven AI and scientific discovery company focused on developing advanced multimodal AI systems to solve complex problems in health tech and neuroscience.
  • Vicino AI, Seattle. A multi-agent GenAI platform for text/image-to-3D generation, enabling stepwise, personalized, and accurate asset generation for gaming, AR/VR product prototyping, and e-commerce.

A majority of the programming will take place virtually, but startups will have access to Plug and Play’s Seattle office inside the University of Washington’s CoMotion Labs. Plug and Play also has space at SNBL Global Gateway in Everett, Wash.

Plug and Play Seattle will host its Expo on June 5 at UW’s Kane Hall, where the cohort will showcase its progress.

Silicon Valley-based Plug and Play first announced it was coming to Seattle in November 2024, adding to its more than 60 locations worldwide.

In addition to startup accelerators, Plug and Play runs corporate innovation programs and has an in-house venture capital fund that has backed companies such as Dropbox, Gurdant Health, Honey, Lending Club, and PayPal.

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Microsoft is rethinking Windows 11 after months of complaints

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The effort is being led by Windows chief Pavan Davuluri, who has publicly acknowledged the extent of user frustration with Windows 11. In a recent company blog post, he said the Windows team had spent months analyzing user feedback to identify what he described as “the voice of people who…
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GrapheneOS Refuses to Comply with Age-Verification Laws

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An anonymous reader shared this report from Tom’s Hardware:

GrapheneOS, the privacy-focused Android fork, said in a post on X on Friday that it will not comply with emerging laws requiring operating systems to collect user age data at setup. “GrapheneOS will remain usable by anyone around the world without requiring personal information, identification or an account,” the project stated. “If GrapheneOS devices can’t be sold in a region due to their regulations, so be it.”

The statement came after Brazil’s Digital ECA (Law 15.211) took effect on March 17, imposing fines of up to R$50 million (roughly $9.5 million) per violation on operating system providers that fail to implement age verification…

Motorola and GrapheneOS announced a long-term partnership at MWC on March 2, to bring to bring the hardened OS to future Motorola hardware, ending GrapheneOS’s long-standing exclusivity to Google Pixel devices. A GrapheneOS-powered Motorola phone is expected in 2027. If Motorola sells devices with GrapheneOS pre-installed, those devices would need to comply with local regulations in every market where they ship, or Motorola may need to restrict sales geographically.
Or, “People can buy the devices without GrapheneOS and install it themselves in any region where that’s an issue,” according to a post on the GrapheneOS BlueSky account. “Motorola devices with GrapheneOS preinstalled is something we want but it doesn’t have to happen right away and doesn’t need to happen everywhere for the partnership to be highly successful. Pixels are sold in 33 countries which doesn’t include many countries outside North America and Europe.”

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Tom’s Hardware also notes that GrapheneOS “isn’t the first and won’t be the last company to outright refuse compliance with incoming age verification laws.”

“The developers of open-source calculator firmware DB48X issued a legal notice recently, stating that their software ‘does not, cannot and will not implement age verification,’ while MidnightBSD updated its license to ban users in Brazil.”

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Samsung’s latest Sonos-rivalling smart speaker doesn’t support a key Spotify feature

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Samsung’s Music Studio 5 speaker supports a range of streaming services through Spotify Connect and similar platforms, but it does not include support for Spotify’s lossless audio tier, which affects its overall playback quality range.

The Music Studio 5 forms part of Samsung’s recent push into standalone wireless speakers, positioning it against competitors such as Sonos that already support higher-quality streaming options across multiple services and devices.

Reports from user discussions show that the lossless setting does not appear when adjusting Spotify streaming quality through Spotify Connect, meaning playback is limited to lower tiers even when higher-quality audio is available.

This absence stands out as Spotify continues expanding its lossless tier across supported hardware, with the feature delivering audio at up to 24-bit/44.1kHz for listeners seeking playback closer to original studio recordings.

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Spotify’s lossless streaming option represents a shift toward higher-fidelity audio in mainstream services, as platforms move beyond compressed formats to appeal to users with more capable audio hardware and higher expectations.

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The Music Studio 5 supports Spotify Connect, which allows direct streaming from Spotify servers rather than routing audio through a mobile device, a feature typically associated with improved stability and convenience in wireless listening setups.

However, the absence of a selectable lossless option suggests either a limitation in the speaker’s current software implementation or a restriction within its hardware processing capabilities, although Samsung has not confirmed the cause.

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This places the device behind some competing speakers in the same price category, where support for higher-resolution formats has become a more common expectation rather than a niche feature.

The Music Studio 5 and Music Studio 7 mark Samsung’s move deeper into premium wireless audio, competing with the best Sonos speakers as the company expands beyond its traditional soundbar and TV-focused lineup.

As streaming services continue to prioritise audio quality improvements, compatibility with features such as lossless playback increasingly influences buying decisions, particularly for users investing in dedicated listening setups.

The current limitation may affect how the Music Studio 5 competes within the broader ecosystem, especially among users who prioritise audio fidelity alongside convenience and multi-platform streaming support.

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Samsung has not provided further clarification on whether lossless support could arrive through a future update or remains unsupported on the device, leaving its long-term compatibility with Spotify’s highest-quality tier uncertain.

(via Sammobile)

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In a tough graduate jobs market how might innovative people ‘go it alone’?

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Spinder Dhaliwal of the Westminster Business School at the University of Westminster explores how graduates can get ahead in a tough landscape.

For entrepreneurs, something that starts out as a simple idea can transform into a thriving business that brings financial rewards, confidence and personal growth. These days, graduates may look at forecasts for a tightening jobs market and decide their future is as an entrepreneur rather than an employee.

The business world is brimming with opportunity. I have researched entrepreneurship for years, and have found that rapid technological evolution, shifting consumer preferences and a growing focus on sustainability are creating an exciting landscape for bold graduates.

However, success is never guaranteed – like anyone else they’ll need to understand their market, and know their competitors, target audience and growth potential. This is where graduates should put the research skills they honed as a student to good use. This can help them to avoid costly mistakes – things like overestimating demand for their business idea or underestimating the level of competition, for example.

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My book, The Millennial Millionaire, demonstrates that successful young entrepreneurs tend to share certain traits: resilience, calculated risk-taking and a willingness to learn from failure. These characteristics remain essential in 2026, particularly as markets become more volatile with persistent inflation, shifting interest rate expectations and growing geopolitical tensions.

Graduate entrepreneurship has evolved over the years, and the traditional linear career where someone stayed with one employer, moving up through the ranks through their working life, is a thing of the past. My book highlights how younger entrepreneurs increasingly pursue business ownership not only for financial independence but also for autonomy, creativity and social impact.

However, it can still be tricky for graduates to make a mark. And entrepreneurship is not a level playing field, either. Rising costs for utilities and essential overheads, competitive markets and unequal access to capital disproportionately affect certain groups. Women generally have less access to capital compared to men, and this is more pronounced for some ethnic minority women. Young people may not have enough personal savings.

Entrepreneurship cannot be separated from questions of diversity and inclusion. Graduate entrepreneurs can face both opportunity and inequality when starting a venture. In this context, migrant communities often have a wealth of valuable “rags to riches” stories that they can share.

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According to some of my other research, many Asian entrepreneurs in the UK started with virtually no money but used determination and family resources to build multimillion-pound businesses.

For example, the billionaire owner of a string of airport hotels Surinder Arora came from the Punjab as a child. He worked for British Airways and dreamed of being a pilot – but instead invested in a B&B to serve airline crews.

These lessons remain highly relevant: entrepreneurship does not occur in isolation – it is shaped by relationships, identity and experience.

A unique time to go it alone

AI is clearly a game-changer, making this a unique time to launch a business that can be built with AI in mind rather than struggling to keep up. Today’s market is more connected, tech-driven and socially conscious than ever, and tech-savvy graduates are well-positioned to seize these opportunities. Sustainability is no longer optional – consumers expect brands to align with their values and demonstrate social responsibility.

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Budding entrepreneurs should use technology to their advantage. This could be for crowdfunding, market research or accessing support networks. My research suggests that entrepreneurs who want to give back to the community and who care about how their business affects the environment are more likely to build long-term trust with their customers.

For graduates, this means aligning business goals with broader societal needs such as poverty reduction or environmental challenges. The resulting venture could take the form of a social enterprise, ethical startup or inclusive business. But these enterprises will still need to generate money and be profitable – you can only give if you have.

Networking is a secret weapon. A strong network is essential, and graduates already have a foundation – they just need to build on it. They should attend industry events, stay informed about economic trends and learn from professionals. A supportive community can help to overcome challenges and accelerate growth.

Securing funding is often the biggest hurdle for new entrepreneurs. What’s key is the ability to start lean – “bootstrapping” (that is, having to start with the bare minimum of capital) is a challenge entrepreneurs are often forced to overcome. Many businesses begin with personal savings or family support. But graduates can also explore competitions and grants. Then eventually, a compelling pitch may attract investors.

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Starting a business offers graduates unparalleled opportunities, from harnessing technology to tackling global challenges such as climate change. Success lies in identifying a passion, using resources well and building a strong support network. The future belongs to those who innovate, adapt and take calculated risks. With determination and the right mindset, graduates can turn a vision into a thriving venture.

The Conversation

Spinder Dhaliwal

Spinder Dhaliwal is a reader in entrepreneurship and the director of PhDs for the Westminster Business School at the University of Westminster. Her main area of interest is in ethnic minority businesses, women in business and young entrepreneurs. She has written about entrepreneurship and the business community, compiled information on Britain’s Richest Asians reflecting a long held interest in the field and her previous book, Making a Fortune, Learning from the Asian Phenomenon, explored the journey of Asian entrepreneurs in the UK, the challenges they faced, and how they were overcome.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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Wheely, an on-demand chauffeur app, makes its US debut in NYC

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When the Uber Black isn’t premium enough, New Yorkers now have the option to call for a Wheely instead. Whimsical name aside, the London-based company is breaking into the US market by offering its chauffeur-hailing services to residents of New York City first, as first reported by Bloomberg. Think of it like Uber, but for business executives and VIPs who prefer better service and riding in Cadillacs and Mercedes.

“New York has long been requested by our customers, whether that be New Yorkers who have traveled with us in Europe and the Middle East, or our international clients who regularly visit the city,” Anton Chirkunov, founder and CEO of Wheely, said in a press release.

Using the Wheely app on several smartphones.

Wheely

Besides its black car Business SUV service, New Yorkers can opt for Wheely First that offers a Mercedes-Benz S-Class W223 filled with amenities like Fiji water and towels. For a more dedicated service, Wheely has its Perfect Airport Pickup where drivers will track flights to line up a pickup, and the Chauffeur for a Day option that lets users reserve a chauffeur that will also pick up friends and family or run errands for you. For interested drivers in New York City, Wheely will port over its in-house “Chauffeur Academy,” which is expected to grow to a network of 5,000 qualified drivers over the next five years.

While Wheely currently operates in London, Paris and Dubai, the company plans to expand to five major US cities within the next three years. According to Bloomberg, Wheely is considering markets in Texas, Miami and Palm Beach, Fla. as well as Washington, D.C. Wheely’s entry into the US market comes about a week after the announcement of the Uber Elite program, which targets a similar demographic. However, Uber Elite is only available in Los Angeles and San Francisco currently, with plans to expand to New York soon. However, Uber may have Wheely beat when it comes to hailing a helicopter, thanks to its upcoming Uber Air option.

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The Zero-Power Flight Computer | Hackaday

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In the early days of aviation, pilots or their navigators used a plethora of tools to solve common navigation and piloting problems. There was definitely a need for some kind of computing aid that could replace slide rules, tables, and tedious dead-reckoning computations. This would become even more important during World War II, when there was a massive push to quickly train young men to be pilots.

The same, but different. A Pickett slide rule (top) and an E6B slide rule (bottom). (Own Work).

Today, we’d whip up some sort of computer device, but in the 1930s, computers weren’t anything you’d cram on a plane, even if they’d had any. For example, the Mark 1 Fire Control Computer during WW2 was 3,000 pounds of gears and motors.

The computer is made to answer flight questions like “how many pounds of fuel do I need for another hour of flying time?” or “How do I adjust my course if I have a particular crosswind?”

History

There were a rash of flight computers starting in the 1920s that were essentially specialized slide rules. The most popular one appeared in the late 1930s. Philip Dalton’s circular slide rule was cheap to produce and easy to use. As you’ll see, it is more than just an ordinary slide rule. Keep in mind, these were not computers in the sense we think of today. They were simple slide rules that easily did specialized math useful to pilots.

Dalton actually developed a number of computers. The popular Model B appeared in 1933, and there were refinements leading to additional models. The Mark VII was very popular. Even Fred Noonan, Amelia Earhart’s navigator, used a Mark VII.

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A metal E6B (public domain).

Dalton thought the Mark VII was clunky and developed a way to do vector calculations using an endless belt inside the computer. This proved to expensive to make, so he created a flat wind computer and put, essentially, the Model B on the other side. While he called this the Model H, the Army called it the E6A.

In 1938, the Army Air Corps asked for a few minor changes and  adopted the computer as the E6B, although pilots often call it the “whiz wheel” or the “Dalton Dead Reckoning Computer.” Oddly enough, some pilots still swear by the E6B, and flight schools sometimes make you learn them because they help you develop a feel for the math you don’t get with a calculator.

Sadly, Dalton died in a plane crash with a student pilot in 1941. P.V.H. Weems, a well-known navigator and Fred Noonan’s mentor, carried on the work of improving the E6B.

Besides, they are almost a perfect backup computer. Small, light, cheap, not prone to breaking, and they need no power. Some are made of cardboard, some of metal, and others of plastic. Wartime E6Bs were on a plastic that glowed under cockpit illumination. Later, there would be electronic or software E6Bs (see the video below), but a real whiz wheel is something you can hold in your hand, and you never have to change the battery.

 

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Not Just a Slide Rule

The front of the E6B is, essentially, a circular slide rule. What makes it unique, though, is that it has special scales and markings to deal with conversions of things like nautical miles or knots. Even the arrangement of the scales work to make a pilot’s life easier.

For example, the top of the wheel is a big mark that represents 60. Why? Because there are 60 minutes in an hour, and this makes it easy to compute things like pounds of fuel per hour.

It also lets you convert things like knots to nautical miles easily because the conversion factors are marked already.

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If you know how to use a slide rule, you are almost immediately proficient on the front side of an E6B. Note that the sliding part of the computer is all about the wind computer (see below). All the calculation parts are just on the wheel, like a traditional circular slide rule.

The Back Side

The back side is a graphical vector solver for wind problems. You essentially use it to plot a wind triangle. You set the wind vector, the aircraft velocity vector, and you can read off the ground track. By moving things around, you can find your groundspeed, your wind correction angle, or your heading.On some E6Bs, you have to flip the slide to do low-speed or high-speed wind problems.

For an example wind problem, consider if you have wind at 200 degrees at 10 knots. Your true course is 150 degrees, and your true air speed is 130 knots. You would like to compute your ground speed, your true heading, and the wind correction angle.

One reason that the E6B remains useful for training is that it helps you develop intuition that is hard to get from a bunch of numbers on a calculator’s LEDs. You get a feel for how much wind will deflect your track 10 degrees, for example.

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You can also use the E6B in reverse. If your groundspeed isn’t what you expect, you might set up the problem to put in your true parameters and solve for what the wind must be to make that result correct.

Sure, with GPS, you probably don’t need to figure out whether you have enough fuel to make it to another airport. But without GPS and a real computer, the E6B can do those things just fine.

Learning the E6B

If you actually want to learn how to use the E6B, we suggest watching a YouTube video. There are some short videos, and at least one that has 14 different videos. The good news is that the E6B hasn’t changed in many years, so any video you find should be just fine.

We like [Aviation Theory’s] two videos, which are worth watching (see part 1, below).

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If you want to follow along and don’t have an E6B, you can try one virtually in your browser. Or, pick one up. The cardboard ones are fairly inexpensive and widely available.

The Legacy of the E6B

While the E6B isn’t the essential kit it once was, it is still a valuable aid for pilots. It is also a great example of how to turn an ordinary slide rule into something specialized.

We have a feeling Gene Roddenberry, an avid pilot, was very familiar with the E6B. He even thought they’d still use them in the 23rd century, as you can see in the video clip below.

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You can also catch a glimpse of these in old US Army Air Corps films like the one below (about the 14-minute mark), although we couldn’t find any training specifically for the E6-B that survived.

If you like old analog computers, read [Nicola Marras’] book. Maybe Spock would have preferred a Star Trekulator.

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[Featured image: “E6b-slide-rule” by [Duke]

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Will AI Force Source Code to Evolve – Or Make it Extinct?

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Will there be an AI-optimized programming language at the expense of human readability? There’s now been experiments with minimizing tokens for “LLM efficiency, without any concern for how it would serve human developers.”

This new article asks if AI will force source code to evolve — or make it extinct, noting that Stephen Cass, the special projects editor at IEEE Spectrum, has even been asking the ultimate question about our future. “Could we get our AIs to go straight from prompt to an intermediate language that could be fed into the interpreter or compiler of our choice? Do we need high-level languages at all in that future?”

Cass acknowledged the obvious downsides. (“True, this would turn programs into inscrutable black boxes, but they could still be divided into modular testable units for sanity and quality checks.”) But “instead of trying to read or maintain source code, programmers would just tweak their prompts and generate software afresh.” This leads to some mind-boggling hypotheticals, like “What’s the role of the programmer in a future without source code?” Cass asked the question and announced “an emergency interactive session” in October to discuss whether AI is signaling the end of distinct programming languages as we know them.

In that webinar, Cass said he believes programmers in this future would still suggest interfaces, select algorithms, and make other architecture design choices. And obviously the resulting code would need to pass tests, Cass said, and “has to be able to explain what it’s doing.” But what kind of abstractions could go away? And then “What happens when we really let AIs off the hook on this?” Cass asked — when we “stop bothering” to have them code in high-level languages. (Since, after all, high-level languages “are a tool for human beings.”) “What if we let the machines go directly into creating intermediate code?” (Cass thinks the machine-language level would be too far down the stack, “because you do want a compile layer too for different architecture….”)

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In this future, the question might become ‘What if you make fewer mistakes, but they’re different mistakes?’” Cass said he’s keeping an eye out for research papers on designing languages for AI, although he agreed that it’s not a “tomorrow” thing — since, after all, we’re still digesting “vibe coding” right now. But “I can see this becoming an area of active research.”
The article also quotes Andrea Griffiths, a senior developer advocate at GitHub and a writer for the newsletter Main Branch, who’s seen the attempts at an “AI-first” languages, but nothing yet with meaningful adoption. So maybe AI coding agents will just make it easier to use our existing languages — especially typed languages with built-in safety advantages.

And Scott Hanselman’s podcast recently dubbed Chris Lattner’s Mojo “a programming language for an AI world,” just in the way it’s designed to harness the computing power of today’s multi-core chips.

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How gas prices might drive more people to switch to an EV

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This story was originally published by Grist and is reproduced here as part of the Climate Desk collaboration.

Gasoline prices continue ticking higher as the United States and Israel’s war with Iran continues. As of March 23, the national average stands at $3.96 per gallon, nearly a dollar higher than at the start of the conflict. It’s also just shy of a tipping point that could push consumers toward electric vehicles.

When gas prices top $4 per gallon, BloombergNEF estimates that the total cost of ownership for EVs becomes lower than for gas-powered vehicles. The exact crossover point depends on local prices for both gasoline and electricity. “[But] even when I run the model using the more expensive electricity cost, we are still seeing this very similar pattern,” said Huiling Zhou, an electric vehicle analyst at BloombergNEF. In California, for example, where electricity costs are high, gas is also expensive. At more than $5 a gallon, the state has already passed the point at which EVs are the cheaper option.

According to a AAA survey from 2022 — when Russia’s invasion of Ukraine drove a monthslong price spike — $4 a gallon is also the threshold at which a majority of Americans will make changes to their driving habits or lifestyles. Stephanie Valdez Streaty, director of industry insights at Cox Automotive, agrees that “the high gas prices definitely start the conversation with a consumer.”

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“There is no meaningful policy tool to mitigate this.”

— Robbie Orvis, Energy Innovations

Edmunds.com has reported an uptick in search traffic for EVs since the war started on February 28. It’s too soon to tell whether that interest will convert to more purchases, said Valdez Streaty. But when prices surged at the outset of the war in Ukraine, sales of electrified vehicles rose as well. From January through March 2022, EVs’ share of car sales in the US climbed 69 percent, with hybrids jumping 32 percent. Robbie Orvis, who directs modeling and analysis for the think tank Energy Innovations, said the general trend pre-dates electric powertrains.

“In the past, when prices have gone up, people would start choosing more fuel-efficient cars,” he said. The oil shocks of the 1970s and 1980s, for example, led to a focus on fuel efficiency and helped make relatively efficient Japanese cars more popular. Avoiding gas guzzlers could become trendy this time, too.

“If you drive an EV, you’re nicely insulated,” Orvis said. “Your retail electricity rate isn’t going to double from one month to the next, like it can with gasoline.”

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Still, Orvis highlighted some factors that might mitigate a rush toward EVs. For one, it’s unclear how long high fuel prices will last. Limited availability of chargers for electric vehicles is another barrier to adoption. People also tend to put more weight on upfront costs than long-term financial gains. Then there’s the fact that higher oil prices can put a damper on consumer confidence more broadly.

“The current situation is very likely going to lead to higher prices all around,” Orvis said. That pressure could mean people are more hesitant to make a big purchase like a car. As Valdez Streaty put it, “if they can delay it, they’ll delay it.”

a customer is shown a 2022 white toyota prius car at a toyota dealership lot outdoors

A customer is shown a 2022 Toyota Prius hybrid in El Monte, California.
Paul Bersebach/MediaNews Group/Orange County Register/Getty Images

At the same time, EVs are in many ways more attractive than ever. Cox Automotive reported that, last month, the price premium for EVs compared to new gas-powered cars was the lowest on record, at $6,532. The pre-owned market had an even narrower $1,334 gap, with 18 of 26 brands now having an average used EV price below their used gas equivalents.

“If you can have access to charging, now is the perfect time to get an EV,” said Jenny Carter, a professor at Vermont Law School who has researched consumer EV adoption. But higher gas prices, she continued, also put a spotlight on equity issues.

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“Low-income people have the most to gain by owning and driving an EV, but they’re the hardest market to reach,” she said. Those households often spend the highest portion of their incomes on gasoline, she explained, but are the least likely to be able to afford alternative vehicles or have access to charging. “It’s a real paradox.”

Orvis thinks that part of the problem is the dearth of information available to prospective buyers. Because dealers generate much of their revenue providing maintenance that EVs don’t need, he said, they may not fully explore the financial benefits of going electric with customers. He suggested that shoppers use one of the many online calculators that can show how, even when the upfront cost of a gasoline car might be lower, the monthly costs of ownership could be higher when you consider fuel and maintenance costs.

“There’s a real issue with how EVs are marketed,” he said. “It’s very hard for a new buyer, especially if you’re not really versed in this stuff, to get a real sense of what the trade-offs are.”

For those who either can’t afford electric cars or don’t have access to charging, Valdez Streaty points to hybrid vehicles, which can be 25 to 45 percent more fuel efficient than their standard counterparts. A HondaCR-V, for example, gets around 29 mpg while the hybrid version gets 37.

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Even if soaring oil prices don’t last long, electrified cars can help soften the blow the next time they spike. A report released Wednesday by the energy think tank Ember found that EVs already displace around 1.7 million barrels of oil per day. While a far cry from the roughly 20 million that normally flow through the embattled Strait of Hormuz daily, it represents about 70 percent of Iran’s oil output.

“The main thing to watch is national plans of how to respond to this,” said Daan Walter, a principal at Ember. He is optimistic that many countries will use moments like this to start turning to climate-friendly policies that help reduce their dependence on fossil fuels, including gasoline.

So far, President Donald Trump doesn’t appear poised to lead the United States in that direction. Last summer, a Republican-led Congress gutted the Inflation Reduction Act, which included tax rebates for electric vehicles. But, particularly in the short term, American policymakers also lack levers for keeping rising gas prices in check, so people may very well start to shift on their own.

“There is no meaningful policy tool to mitigate this,” Orvis said. “The only way to do that is to just get off the roller coaster, and EVs allow you to do that.”

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Transforming Data Science With NVIDIA RTX PRO 6000 Blackwell Workstation Edition

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This is a sponsored article brought to you by PNY Technologies.

In today’s data-driven world, data scientists face mounting challenges in preparing, scaling, and processing massive datasets. Traditional CPU-based systems are no longer sufficient to meet the demands of modern AI and analytics workflows. NVIDIA RTX PROTM 6000 Blackwell Workstation Edition offers a transformative solution, delivering accelerated computing performance and seamless integration into enterprise environments.

  • Data Preparation: Data preparation is a complex, time-consuming process that takes most of a data scientist’s time.
  • Scaling: Volume of data is growing at a rapid pace. Data scientists may resort to downsampling datasets to make large datasets more manageable, leading to suboptimal results.
  • Hardware: Demand for accelerated AI hardware for data centers and cloud service providers (CSPs) is exceeding supply. Current desktop computing resources may not be suitable for data science workflows.

Benefits of RTX PRO-Powered AI Workstations

NVIDIA RTX PRO 6000 Blackwell Workstation Edition delivers ultimate acceleration for data science and AI workflows. These powerful and robust workstations enable real-time rendering, rapid prototyping, and seamless collaboration. With support for up to four NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition GPUs, users can achieve data center-level performance right at their desk, making even the most demanding tasks manageable.

PNY is redefining professional computing with the ‪@NVIDIA‬ RTX PRO 6000 Blackwell Workstation Edition, the most powerful desktop GPU ever built. Engineered for unmatched compute power, massive memory capacity, and breakthrough performance, this cutting-edge solution delivers a quantum leap forward in workflow efficiency, enabling professionals to tackle the most demanding applications with ease.PNY

NVIDIA RTX PRO 6000 Blackwell Workstation Edition empowers data scientists to handle massive datasets, perform advanced visualizations, and support multi-user environments without compromise. It’s ideal for organizations scaling up their analytics or running complex models. NVIDIA RTX PRO 6000 Blackwell Workstation Edition is optimized for AI workflows, leveraging the NVIDIA AI software stack, including CUDA-X, and NVIDIA Enterprise software. These platforms enable zero-code-change acceleration for Python-based workflows and support over 100 AI-powered applications, streamlining everything from data preparation to model deployment.

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Finally, NVIDIA RTX PRO 6000 Blackwell Workstation Edition offers significant advantages in security and cost control. By offloading compute from the data center and reducing reliance on cloud resources, organizations can lower expenses and keep sensitive data on-premises for enhanced protection.

Accelerate Every Step of Your Workflow

NVIDIA RTX PRO 6000 Blackwell Workstation Edition is designed to transform the entire data science pipeline, delivering end-to-end acceleration from data preparation to model deployment. With NVIDIA CUDA-X open-source data science cuDF library and other GPU-accelerated libraries, data scientists can process massive datasets at lightning speed, often achieving up to 50X faster performance compared to traditional CPU-based tools. This means tasks like cleaning data, managing missing values, and engineering features can be completed in seconds, not hours, allowing teams to focus on extracting insights and building better models.

NVIDIA RTX PRO 6000 Blackwell Workstation Edition is designed to transform the entire data science pipeline, delivering end-to-end acceleration from data preparation to model deployment

Exploratory data analysis is elevated with advanced analytics and interactive visualizations, powered by NVIDIA CUDA-X and PyData libraries. These tools enable users to create expansive, responsive visualizations that enhance understanding and support critical decision-making. When it comes to model training, GPU-accelerated XGBoost slashes training times from weeks to minutes, enabling rapid iteration and faster time-to-market AI solutions.

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NVIDIA RTX PRO 6000 Blackwell Workstation Edition streamlines collaboration and scalability. With NVIDIA AI Workbench, teams can set up projects, develop, and collaborate seamlessly across desktops, cloud platforms, and data centers. The unified software stack ensures compatibility and robustness, while enterprise-grade hardware maximizes uptime and reliability for demanding workflows.

By integrating these advanced capabilities, NVIDIA RTX PRO 6000 Blackwell Workstation Edition empowers data scientists to overcome bottlenecks, boost productivity, and drive innovation, making them an essential foundation for modern, enterprise-ready AI development.

Performance Benchmarks

NVIDIA’s cuDF library offers zero-code change acceleration for pandas, delivering up to 50X performance gains. For example, a join operation that takes nearly 5 minutes on CPU completes in just 14 seconds on GPU. Advanced group by operations drop from almost 4 minutes to just 4 seconds.

Enterprise-Ready Solutions from PNY

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Available from leading OEM manufacturers, NVIDIA RTX PRO 6000 Blackwell Workstation Edition Series GPUs are specifically engineered to meet the rigorous demands of enterprise environments. These systems incorporate NVIDIA Connect-X networking, now available at PNY and a comprehensive suite of deployment and support tools, ensuring seamless integration with existing IT infrastructure.

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Designed for scalability, the latest generation of workstations can tackle complex AI development workflows at scale for training, development, or inferencing. Enterprise-grade hardware maximizes uptime and reliability.

To learn more about NVIDIA RTX PRO™ Blackwell solutions, visit: NVIDIA RTX PRO Blackwell | PNY Pro | pny.com or email GOPNY@PNY.COM

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