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Deepmind AI Predicts Weather More Accurately Than Existing Forecasts

Arthur T Knackerbracket has processed the following story:

GenCast is the latest in DeepMind’s ongoing research project to use artificial intelligence to improve weather forecasting. The model was trained on four decades of historical data from the European Centre for Medium-Range Weather Forecasts’s (ECMWF) ERA5 archive, which includes regular measurements of temperature, wind speed and pressure at various altitudes around the globe.

Data up to 2018 was used to train the model and then data from 2019 was used to test its predictions against known weather. The company found that it beat ECMWF’s industry-standard ENS forecast 97.4 per cent of the time in total, and 99.8 per cent of the time when looking ahead more than 36 hours.

[...] Existing weather forecasts are based on physics simulations run on powerful supercomputers that deterministically model and extrapolate weather patterns as accurately as possible. Forecasters usually run dozens of simulations with slightly different inputs in groups called ensembles to better capture a range of possible outcomes. These increasingly complex and numerous simulations are extremely computationally intensive and require ever more powerful and energy-hungry machines to operate.

AI could offer a less costly solution. For instance, GenCast creates forecasts with an ensemble of 50 possible futures, each taking just 8 minutes on a custom-made and AI-focused Google Cloud TPU v5 chip.

[...] But for now, GenCast does offer a way to run forecasts at lower computation cost, and more quickly. Kieran Hunt at the University of Reading, UK, says just as a collection of physics-based forecasts can generate better results than a single forecast, he believes ensembles will boost the accuracy of AI forecasts.

Hunt points to the record 40°C (104°F) temperatures seen in the UK in 2022 as an example. A week or two earlier, there were lone members of ensembles predicting it, but they were considered anomalous. Then, as we drew nearer to the heatwave, more and more forecasts fell in line, allowing early warning that something unusual was coming.

“It does allow you to hedge a little if there is one member that shows something really extreme; it might happen, but it probably won’t,” says Hunt. “I wouldn’t view it as necessarily a step change.  It’s combining the tools that we’ve been using in weather forecasting for a while with the new AI approach in a way that will certainly work to improve the quality of AI weather forecasts. I’ve no doubt this will do better than the kind of first wave of AI weather forecasts.”

Journal Reference:> Nature DOI: 10.1038/s41586-024-08252-9

What to Know About Google's Breakthrough Weather Prediction Model

upstart writes:

The latest forecast tool out of DeepMind shows how artificial intelligence could revolutionize the way we predict the weather:

The Sun'll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google's DeepMind team released its latest weather prediction model this week, which outperforms a leading traditional weather prediction model across the vast majority of tests put before it.

The generative AI model is dubbed GenCast, and it is a diffusion model like those undergirding popular AI tools including Midjourney, DALL·E 3, and Stable Diffusion. Based on the team's tests, GenCast is better at predicting extreme weather, the movement of tropical storms, and the force of wind gusts across Earth's mighty sweeps of land. The team's discussion of GenCast's performance was published this week in Nature.

Where GenCast departs from other diffusion models is that it (obviously) is weather-focused, and "adapted to the spherical geometry of the Earth," as described by a couple of the paper's co-authors in a DeepMind blog post.

Arthur T Knackerbracket has processed the following story:

Samsung's 9th-generation 280-layer V-NAND flash memory has only recently entered mass production, with the first commercial products expected to hit store shelves next year. However, according to the Korea Economic Daily, the company is already setting ambitious targets for its 10th-generation 400-layer V-NAND technology.

Competition in the space has intensified in recent years, driven in large part by the increasing demands of AI applications, along with a growing consumer appetite for larger and more affordable flash storage.

Samsung currently holds a leading 37 percent market share, but maintaining that position is becoming increasingly challenging as competitors like Micron, YMTC, SK Hynix, and Kioxia accelerate their development of higher-density 3D NAND.

SK Hynix plans to begin manufacturing 400-layer NAND by the end of 2025, with full-scale production expected in the first half of 2026. This has prompted Samsung to target the same timeline, as its smaller Korean rival has gained significant market share over the past two years.

Stacking 400 or more layers of NAND is no easy feat, as scaling beyond 300 layers has already posed challenges to the reliability of early prototypes. To tackle this, Samsung plans to employ a Tri-Level Cell (TLC) architecture alongside a new technology called Bonding Vertical NAND (BV NAND), which separates memory cells and peripheral circuitry onto different wafers, which are then bonded together in a vertical structure.

This approach will also help Samsung achieve higher manufacturing yields compared to those of the Cell over Periphery (CoP) NAND design. The company claims it can reach densities of 28Gb/mm², or 1Tb (128GB) per die, which is only slightly lower than the density achieved with a 9th-generation Quad-Level Cell (QLC) architecture. Additionally, the 5.6Gb/s data rate per pin provides a significant performance boost over the 3.2Gb/s maximum achievable with the previous design.

In theory, future Samsung SSDs could reach capacities of up to 16TB, with speeds approaching the limits of a PCIe 5.0 x4 interface in sequential reads and writes.

Samsung will present this promising new V-NAND architecture in more detail at the upcoming International Solid-State Circuits Conference in February 2025.

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upstart writes:

From reuters.com:

Shareholders of Ubisoft Entertainment SA (UBIP.PA) are considering how to structure a possible buyout of the Assassin's Creed video game maker without reducing the founding family's control, two people familiar with the matter told Reuters.

The Guillemot family, which is the largest and founding shareholder, has been in talks with Tencent and other investors in recent weeks about funding a management-led buyout of France's largest video games maker, the people said, speaking on condition of anonymity. However, the Guillemot family has indicated it would like to retain the control it has over the company, which also makes Just Dance, Far Cry and Tom Clancy's video game series, as part of a deal, the people said.

Tencent, currently the second-largest shareholder in Ubisoft and China's biggest social network and gaming firm, has yet to decide whether to participate in the buyout and increase its stake in the company, one of the people said.

This is partly because it has asked for a greater say on future board decisions including cash flow distribution in return for financing the deal, which has not been agreed upon with the Guillemot family, the person added.

Discussions between the two parties are ongoing as Tencent also wants to prevent any potential hostile takeover of Ubisoft by other investors, said the person, adding that Tencent's plan is to remain patient and wait for the founding family to agree to a deal. Tencent may opt not to increase its stake in Ubisoft, as it considers its current direct holding of almost 10% in Ubisoft sufficient for maintaining its gaming business cooperation with the company, the person added.

[...] "We remain committed to making decisions in the best interests of all of our stakeholders" a spokesman for Ubisoft said. "In this context, as we have already indicated, the Company is also reviewing all its strategic options."

In October, Ubisoft said it regularly reviewed "all its strategic options", but declined further comment on a report of buyout interest. Shares in Ubisoft rose as much as 16% after the Reuters report. Its shares were trading up 12.1% at 13.2 euros by 1445 GMT.

[...] The company's shares fell to their lowest level in the last decade in September after it cut its outlook on weaker-than-expected sales and postponed the launch of "Assassin's Creed Shadows" title.

This week it announced it would discontinue development of its gaming title XDefiant and as a consequence close its production studios in San Francisco and Osaka, and ramp down production in Sydney.

Ubisoft is run by the Guillemot family, which owns 15% of the firm, followed by Tencent which owns just under 10%, according to LSEG data. The family held about 20.5% of Ubisoft's net voting rights while Tencent owned 9.2% as of the end of April, as per the firm's latest annual report.

Original Submission

upstart writes:

From reuters.com:

The U.S. House of Representatives is set to vote next week on an annual defense bill that includes just over $3 billion for U.S. telecom companies to remove equipment made by Chinese telecoms firms Huawei and ZTE (000063.SZ) , opens new tab from American wireless networks to address security risks.

The 1,800-page text was released late Saturday and includes other provisions aimed at China, including requiring a report on Chinese efforts to evade U.S. national security regulations and an intelligence assessment of the current status of China's biotechnology capabilities.

The Federal Communications Commission has said removing the insecure equipment is estimated to cost $4.98 billion but Congress previously only approved $1.9 billion for the "rip and replace" program.

Washington has aggressively urged U.S. allies to purge Huawei and other Chinese gear from their wireless networks.

FCC Chair Jessica Rosenworcel last week again called on the U.S. Congress to provide urgent additional funding, saying the program to replace equipment in the networks of 126 carriers faces a $3.08 billion shortfall "putting both our national security and the connectivity of rural consumers who depend on these networks at risk."

She has warned the lack of funding could result in some rural networks shutting down, which "could eliminate the only provider in some regions" and could threaten 911 service.

Competitive Carriers Association CEO Tim Donovan on Saturday praised the announcement, saying "funding is desperately needed to fulfill the mandate to remove and replace covered equipment and services while maintaining connectivity for tens of millions of Americans."

In 2019, Congress told the FCC to require U.S. telecoms carriers that receive federal subsidies to purge their networks of Chinese telecoms equipment. The White House in 2023 asked for $3.1 billion for the program.

Senate Commerce Committee chair Maria Cantwell said funding for the program and up to $500 million for regional tech hubs will be covered by funds generated from a one-time spectrum auction by the FCC for advanced wireless spectrum in the band known as AWS-3 to help meet rising spectrum demands of wireless consumers.

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upstart writes:

US clears export of advanced AI chips to UAE under Microsoft deal, Axios says:

The U.S. government has approved the export of advanced artificial intelligence chips to a Microsoft-operated facility in the United Arab Emirates as part of the company's highly-scrutinized partnership with Emirati AI firm G42, Axios reported on Saturday, citing two people familiar with the deal.

Microsoft invested $1.5 billion in G42 earlier this year, giving the U.S. company a minority stake and a board seat. As part of the deal, G42 would use Microsoft's cloud services to run its AI applications.

The deal, however, was scrutinized after U.S. lawmakers raised concerns G42 could transfer powerful U.S. AI technology to China. They asked for a U.S. assessment of G42's ties to the Chinese Communist Party, military and government before the Microsoft deal advances. The U.S. Commerce Department and G42 did not immediately respond to Reuters' requests for comment. Microsoft declined to comment on the report.

The approved export license requires Microsoft to prevent access to its facility in the UAE by personnel who are from nations under U.S. arms embargoes or who are on the U.S. Bureau of Industry and Security's Entity List, the Axios report said.

The restrictions cover people physically in China, the Chinese government or personnel working for any organization headquartered in China, the report added.

[...] Abu Dhabi sovereign wealth fund Mubadala Investment Company, the UAE's ruling family and U.S. private equity firm Silver Lake hold stakes in G42. The company's chairman, Sheikh Tahnoon bin Zayed Al Nahyan, is the UAE's national security advisor and the brother of the UAE's president.

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stormwyrm writes:

In 1974, Stephen Hawking, using arguments that combined the two pillars of modern physics, General Relativity and quantum field theory, showed that black holes should not be entirely black but would have to emit radiation that would eventually cause them to evaporate. In 2023 however, physicists Michael F. Wondrak, Walter D. van Sujilekom, and Heino Falcke showed that Hawking radiation might not even require an event horizon: spacetime curvature alone is all that's required. They further refined their arguments in a follow-up paper that argues that even a neutron star might evaporate on the time scale similar to a stellar mass black hole (10⁶⁷ years), an object like our earth's moon 10⁹⁰ years, and interstellar gas clouds some 10¹⁴⁰ years. If this is correct, even single protons would be subject to this phenomenon, and they would also take something like 10⁶⁷ years to decay as well (this is a far longer timescale than proton decay predictions from Grand Unified Theories, which posit proton decay at about 10³⁴ to 10³⁶ years). Ethan Siegel has an article that explores this intriguing possibility:

It was long thought that black holes, once they formed, would be stable forever, but that story changed significantly with the work of Stephen Hawking in 1974. Black holes actually emit tiny amounts of radiation continuously, and on enormously long timescales of ~10^67 years or greater, they'll eventually evaporate away entirely. In 2023, a provocative paper suggested that this radiation isn't limited to black holes, implying that everything eventually decays away.

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upstart writes:

The ghosts of India's TikTok: What happens when a social media app is banned:

TikTok was one of India's most popular apps – until it was banned in 2020. It's a lesson for what might unfold if a US ban goes ahead.

Four years ago, India was TikTok's biggest market. The app boasted a growing base of 200 million users, thriving subcultures and sometimes life-changing opportunities for creators and influencers. TikTok seemed unstoppable – until simmering tensions on the border between India and China erupted into deadly violence. After the border skirmish, the Indian government banned the app on 29 June 2020. Almost overnight, TikTok was gone. But the accounts and videos of Indian TikTok are still online, frozen in time when the app had just emerged as a cultural giant.

In some ways, it could offer a preview of what might lie on the horizon in the United States. In April, 2024 President Joe Biden signed a bill into law that could ultimately ban TikTok from the US, marking a new chapter after years of threats and failed legislation. The law requires the company that owns TikTok, ByteDance, to sell its stake in the app within the next nine months, with a further three-month grace period, or face a potential ban in the country. ByteDance says it has no intention of selling the social media platform, but on 6 December, a US federal appeals court rejected the company's bid to overturn the law. The platform is set to become unavailable on 29 January, though some observers expect the case will make it to the Supreme Court, the highest authority in the US.

Banning a massive social media app would be an unprecedented moment in American tech history, though the looming court battle currently leaves TikTok's fate uncertain. But the Indian experience shows what can happen when a major country wipes TikTok from its citizen's smartphones. India is not the only country to have taken the step either – in November 2023, Nepal also announced a decision to ban TikTok and Pakistan has implemented a number of temporary bans since 2020. As the app's 150 million US users swipe through videos in limbo, the story of India's TikTok ban shows that users are quick to adapt, but also that when TikTok dies, much of its culture dies with it.

Sucharita Tyagi, a film critic based in Mumbai, had grown her account to 11,000 followers when TikTok came down, with some of her videos racking up millions of views.

"TikTok was huge. People were coming together all over the country, dancing, putting up skits, posting about how they run their homestead in their small town in the hills," says Tyagi. "There was a massive number of people who suddenly had this exposure that they had always been denied, but now it was possible."

The app was a particular phenomenon because of the ways its algorithm gave opportunities to rural Indian users, who were able to find an audience and even reach celebrity status not possible on other apps.

"It democratised content creation for the first time," says New Delhi-based technology writer and analyst Prasanto K Roy. "We began to see a lot of these very rural people fairly low down on the socio-economic ladder who would never dream of getting a following, or making money on it. And TikTok's discovery algorithm would deliver it to users who wanted to see it. There was nothing quite like it in terms of hyper-local videos."

When TikTok went offline in India, the government banned 58 other Chinese apps along with it

TikTok holds a similar cultural significance in the US, where niche communities flourish and an untold number of small creators and businesses base their livelihood around the app. It's a kind of success that's less prevalent on other social media platforms. Instagram, for example, is generally tuned more for consuming content from accounts with big followings, while TikTok places a heavier emphasis on encouraging regular users to post.

When TikTok went offline in India, the government banned 58 other Chinese apps along with it, including some that are currently growing in popularity in the US today, such as the fashion shopping app Shein. As the years rolled on, India banned over a hundred more Chinese apps, though negotiations recently brought an Indian version of Shein back online.

The same could happen in the US. The new law sets a precedent and creates a mechanism for the American government to get rid of other Chinese apps. The privacy and national security concerns politicians voice about TikTok could apply to a host of other companies as well.

And when a popular app is removed, others can attempt to fill the gap. "As soon as TikTok was banned it opened up a multibillion-dollar opportunity," says Nikhil Pahwa, an Indian tech policy analyst and founder of the news site MediaNama. "Multiple Indian start-ups launched or pivoted to fill the gap."

For months, the Indian technology press was flooded with news about these buzzy new Indian social media companies, with names Chingari, Moj and MX Taka Tak. Some found initial success, luring former TikTok stars onto their platforms and securing investments and even governmental support. It splintered the Indian social market into different corners as the new apps battled for dominance, but that post-TikTok gold rush didn't last long.

In August 2020, Instagram launched a short-form video feed called Reels, just months after the TikTok ban. YouTube followed suit with Shorts, its own copycat TikTok functionality, a month later. Instagram and YouTube were already entrenched in India, and the field of new start-ups didn't stand a chance.

upstart writes:

An ethicist's take: Is it OK to lie to an AI chatbot during a job interview?:

If you're secure in your job, you may not have encountered just yet how AI is "elevating" and "enhancing" the job search experience, for employers and job seekers alike. Its use is most clearly felt in the way high-volume staffing agencies have begun to employ AI chatbots to screen applicants well before they interact with a human hiring manager.

From the employer's perspective, this makes perfect sense. Why wade through stacks of resumes to weed out the ones that don't look to be a good fit even just on first glance, if an AI can do that for you?

From the job seeker's perspective, the experience is likely to be decidedly more mixed.

This is because many employers are using AI not just to search a body of documents, screening them for certain keywords, syntax, and so on. Rather, in addition to this, search firms are now using AI chatbots to subsequently "interview" applicants to screen them even more thoroughly and thus further winnow the pool of resumes a human will ultimately have to go through.

Often, this looks the same as conversing with ChatGPT. Other times, it involves answering specific questions in a standard video/phone screen where the chatbot will record your answers, thereby making them analyzable. If you're a job seeker and you find yourself in the latter scenario, don't worry, they will give the chatbot a name like "Corrie" and that will put you completely at ease and in touch with a sense of your worth as a fully-rounded person.

On the job seeker's side, this is where the issues begin to arise.

If you know your words are being scanned by a gatekeeper strictly for certain sets of keywords, what's the incentive to tell the whole truth about your profile? It's not possible to intuit what exact tally or combo of terms you need to hit, so it's better to just give the bot all of the terms listed in the job description and then present your profile more fully at the next stage in an actual interview with a human. After all, how would a job seeker present nontraditional experience to the bot with any assurance it will receive real consideration?

Indeed, when the standardadvice is to apply for jobs of interest even when you only bring somewhere between 40-to-60% of the itemized skills and background, why take the risk the chatbot sets the bar higher?

For a job seeker, lying to the bot — or at least massaging the facts strategically for the sake of impressing a nonhuman gatekeeper — is the best, most effective means of moving on to the next stage in the hiring process, where they can then present themselves in a fuller light.

But what are the ethics of such dishonesty? Someone who lies to the chatbot would have no problem lying to the interviewer, some might say. We're on a slippery slope, they would argue.

Arthur T Knackerbracket has processed the following story:

Meta believes it will need one to four gigawatts of nuclear power, in additional to the energy it already consumes, to fuel its AI ambitions. As such, it will put out a request for proposals (RFP) to find developers capable of supplying that level of electricity in the United States by early 2030.

"Advancing the technologies that will build the future of human connection — including the next wave of AI innovation — requires electric grids to expand and embrace new sources of reliable, clean and renewable energy," the Facebook parent company wrote in a blog post announcing the RFP on Tuesday.

But while Meta plans to continue investing in solar and wind, hyperscalers seem convinced that harnessing the atom is the only practical means of meeting AI's thirst for power while making good on its sustainability commitments.

This wouldn't be the first time Meta has pursued nuclear fission power. As we previously reported, Meta had planned to build an atomic datacenter complex, but was foiled after a rare species of bees were discovered on a prospective site, resulting in its cancellation.

Meta has become a leading developer of generative AI models with Llama 3.1 405B being among its most sophisticated. To support the development of these and future models, Zuckerberg has committed to deploying some 600,000 GPUs, which require a prodigious amount of power to run.

As we understand it, additional details regarding the nature of the RFP will be provided to qualified companies. However, we do know that Meta is looking for someone to deploy between one and four gigawatts of nuclear power, suggesting they're still a little uncertain as to the extent of power that'll be required to achieve their goals and that these plans are destined for the US.

The blog post also mentions the prospect of deploying multiple units to cut costs. Given the timeline, this suggests that Meta is very likely looking at small modular reactors (SMRs).

As their name suggests, SMRs are really just miniaturized reactors not unlike those found in nuclear submarines and aircraft carriers, which can be manufactured and co-located alongside datacenters and other industrial buildings.

upstart writes:

A Supercomputer Just Created the Largest Universe Simulation Ever:

Last month, a team of researchers put the then-fastest supercomputer in the world to work on a rather large quandary: the nature of the universe's atomic and dark matter.

The supercomputer is called Frontier; recently, a team of researchers recently used it to run the largest astrophysical simulation of the universe yet. The supercomputer's simulation size corresponds to surveys taken by large telescope observatories, which to this point had not been possible. The calculations undergirding the simulations provide a new foundation for cosmological simulations of the universe's matter content, from everything we see to the invisible stuff that only interacts with ordinary matter gravitationally.

Frontier is an exascale-class supercomputer, capable of running a quintillion (one billion-billion) calculations per second. In other words, a juiced machine worthy of the vast undertaking that is simulating the physics and evolution of both the known and unknown universe.

"If we want to know what the universe is up to, we need to simulate both of these things: gravity as well as all the other physics including hot gas, and the formation of stars, black holes and galaxies," said Salman Habib, the division director for computational sciences at Argonne National Laboratory, in an Oak Ridge National Laboratory release. "The astrophysical 'kitchen sink' so to speak."

The matter we know about—the stuff we can see, from black holes, to molecular clouds, to planets and moons—only accounts for about 5% of the universe's content, according to CERN. A more sizable chunk of the universe is only inferred by gravitational effects it seems to have on the visible (or atomic) matter. That invisible chunk is called dark matter, a catch-all term for a number of particles and objects that could be responsible for about 27% of the universe. The remaining 68% of the universe's makeup is attributed to dark energy, which is responsible for the accelerating rate of the universe's expansion.

"If we were to simulate a large chunk of the universe surveyed by one of the big telescopes such as the Rubin Observatory in Chile, you're talking about looking at huge chunks of time — billions of years of expansion," Habib said. "Until recently, we couldn't even imagine doing such a large simulation like that except in the gravity-only approximation."

In the top graphic, the left image shows the evolution of the expanding universe over billions of years in a region containing a cluster of galaxies, and the right image shows the formation and movement of galaxies over time in one section of that image.

"It's not only the sheer size of the physical domain, which is necessary to make direct comparison to modern survey observations enabled by exascale computing," said Bronson Messer, the director of science for Oak Ridge Leadership Computing Facility, in a laboratory release. "It's also the added physical realism of including the baryons and all the other dynamic physics that makes this simulation a true tour de force for Frontier."

Frontier is one of several exascale supercomputers used by the Department of Energy, and comprises more than 9,400 CPUs and over 37,000 GPUs. It resides at Oak Ridge National Laboratory, though the recent simulations were run by Argonne researchers.

The Frontier results were possible thanks to the supercomputer's code, the Hardware/Hybrid Accelerated Cosmology Code (or HACC). The fifteen-year-old code was updated as part of the DOE's $1.8 billion, eight-year Exascale Computing Project, which concluded this year.

The simulations' results were announced last month, when Frontier was still the fastest supercomputer in the world. But shortly after, Frontier was eclipsed by the El Capitan supercomputer as the world's fastest. El Capitan is verified at 1.742 quintillion calculations per second, with a total peak performance of 2.79 quintillion calculations per second, according to a Lawrence Livermore National Laboratory release.

Original Submission

upstart writes:

Could AI supersede traditional gift giving inspiration?:

Like many of us at this time of year, Josie Hughes wracks her brain to think of gifts for friends and family.

However, last month she decided to try a different approach.

Being familiar with artificial intelligence (AI), particularly through her work at the Institute of Analytics, she decided to see if AI could generate Christmas present ideas for her nine-year-old brother.

"I use AI all the time for my job, for example, help writing emails as I have autism and ADHD and I struggle...and I thought with Christmas coming up, I wonder if it can help me," says Ms Hughes, who lives in Eastbourne.

She asked ChatGPT for suggestions for a gift for a nine-year old who loves the outdoors.

"It recommended a slackline – like a tight rope - as well as a fishing kit and survival kit. He lives in a woodland area, and I was really impressed, I hadn't thought of those gifts.

"I find it hard to trawl the internet; I don't want the faff. This saves you a lot of time. It's better for suggestions than just asking Google."

As a result, she'll be wrapping a slackline for him this Christmas.

[...] In a way, services like those replicate how shopping used to be, says Linda Ellett, UK head of consumer and retail at accountancy firm KPMG.

"This is how it used to be with retailers. You used to go into a store and ask them for advice if you are looking for something, like a birthday present for a niece. Online never had that aspect and this gives them a chance to do that."

She says gen AI platforms have the potential to really shake-up how we search for products.

Arthur T Knackerbracket has processed the following story:

For a company that has traditionally promoted CEOs from within its ranks, considering an outsider to lead would mark a significant departure from Intel's long-standing practices. Since its founding in 1968, only one CEO – Bob Swan in 2019 – was hired externally, and even he was regarded as a temporary solution following Brian Krzanich's resignation.

As for potential successors, external candidates remain largely speculative. However, rumors suggest Marvell CEO Matt Murphy is among those being considered.

On the internal front, CFO David Zinsner and interim co-CEO MJ Holthaus are reportedly in the running, while recently departed board member Lip-Bu Tan has also been approached about the position.

Intel's openness to outside leadership underscores the challenges it faces and the urgency to set its turnaround plans into motion.

Under Pat Gelsinger's brief tenure, following his move from VMware in 2021, Intel continued to lose market share to competitors like Nvidia while grappling with persistent product delays and manufacturing challenges. This year alone has been marked by a whirlwind of setbacks, including poor financial performance, job cuts, CPU crashes, and yield issues.

Compounding these struggles, analysts predict that Intel's ambitious efforts to revamp its manufacturing processes won't deliver significant financial improvements until at least late 2025. Given this backdrop, it's unsurprising that Intel's board is seeking a fresh, external perspective to steer the company toward recovery.

Bloomberg reports that Intel may also consider former executives who departed during previous leadership transitions. Such candidates could offer a mix of internal familiarity and fresh perspectives. Among the names floated are ex-CFO and current board member Stacy Smith, former PC unit head Gregory Bryant, Ampere Computing CEO and one-time Intel president Renee James, and Kirk Skaugen, who previously led the company's data center business.

Another intriguing possibility involves executives from Intel's key customers with in-house chipmaking expertise. For instance, Apple's Johny Srouji could emerge as a strong candidate, bringing insights from one of the industry's most successful chip design operations.

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Arthur T Knackerbracket has processed the following story:

The solar boom has been so extraordinary this spring that South Australia has, at times, met all its electricity needs entirely from solar power, reports by ABC News. Any excess energy has been exported to other states. Nationwide, demand for grid power that cannot be supplied by rooftop solar has plummeted to record lows.

Earlier this month, the Australian Energy Market Operator warned that an "emergency backstop" mechanism might be necessary next spring to maintain grid stability when households export excess solar electricity.

Spring creates ideal conditions for an oversupply of solar power to the grid. Longer, sunnier days boost solar output, but mild temperatures mean air conditioners are rarely used, keeping electricity demand low.

Unfortunately, abundance isn't always beneficial. At times, there's simply too much solar power in Australia's electricity systems to manage effectively, raising serious concerns.

Electricity market designer Jess Hunt, quoted in the report, emphasized that much of this excess solar power will inevitably need to be wasted or "spilled." She likened it to rainfall that overflows and cannot be captured by reservoirs.

[...] Advances in inverter technology could enable solar systems to contribute to grid stability services, offering a partial solution. Wonhas also expressed optimism about the role of batteries in addressing the minimum demand challenge, as they can absorb and later discharge excess solar energy.

However, he acknowledged that storing all surplus solar power would not be economically viable. This creates a need for trade-offs between costs and capturing every bit of solar output. Establishing sufficient energy storage infrastructure is expensive, particularly when much of the excess power is not immediately required.

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upstart writes:

In less than 10 minutes, a US teen made a small fortune selling off a memecoin he'd made on a lark. Traders, feeling swindled, sought revenge:

On the evening of November 19, art adviser Adam Biesk was finishing work at his California home when he overheard a conversation between his wife and son, who had just come downstairs. The son, a kid in his early teens, was saying he had made a ton of money on a cryptocurrency that he himself had created.

[...] Earlier that evening, at 7:48 pm PT, Biesk's son had released into the wild 1 billion units of a new crypto coin, which he named Gen Z Quant. Simultaneously, he spent about $350 to purchase 51 million tokens, about 5 percent of the total supply, for himself.

Then he started to livestream himself on Pump.Fun, the website he had used to launch the coin. As people tuned in to see what he was doing, they started to buy into Gen Z Quant, leading the price to pitch sharply upward.

By 7:56 pm PT, a whirlwind eight minutes later, Biesk's son's tokens were worth almost $30,000—and he cashed out. "No way. Holy fuck! Holy fuck!" he said, flipping two middle fingers to the webcam, with tongue sticking out of his mouth. "Holy fuck! Thanks for the twenty bandos." After he dumped the tokens, the price of the coin plummeted, so large was his single trade.

To the normie ear, all this might sound impossible. But in the realm of memecoins, a type of cryptocurrency with no purpose or utility beyond financial speculation, it's relatively routine. Although many people lose money, a few have been known to make a lot—and fast.

In this case, Biesk's son had seemingly performed what is known as a soft rug pull, whereby somebody creates a new crypto token, promotes it online, then sells off their entire holdings either swiftly or over time, sinking its price. These maneuvers occupy something of a legal gray area, lawyers say, but are roundly condemned in the cryptosphere as ethically dubious at the least.

After dumping Gen Z Quant, Biesk's son did the same thing with two more coins—one called im sorry and another called my dog lucy—bringing his takings for the evening to more than $50,000.

Freeman writes:

https://arstechnica.com/ai/2024/12/openai-and-anduril-team-up-to-build-ai-powered-drone-defense-systems/

As the AI industry grows in size and influence, the companies involved have begun making stark choices about where they land on issues of life and death.
[...]
On Wednesday, defense-tech company Anduril Industries—started by Oculus founder Palmer Luckey in 2017—announced a partnership with OpenAI to develop AI models (similar to the GPT-4o and o1 models that power ChatGPT) to help US and allied forces identify and defend against aerial attacks.
[...]
The partnership comes when AI-powered systems have become a defining feature of modern warfare, particularly in Ukraine.
[...]
Anduril currently manufactures several products that could be used to kill people: AI-powered assassin drones (see video) and rocket motors for missiles. Anduril says its systems require human operators to make lethal decisions, but the company designs its products so their autonomous capabilities can be upgraded over time.
[...]
Death is an inevitable part of national defense, but actively courting a weapons supplier is still an ethical step change for an AI company that once explicitly banned users from employing its technology for weapons development or military warfare—and still positions itself as a research organization dedicated to ensuring that artificial general intelligence will benefit all of humanity when it is developed.
[...]
In June, OpenAI appointed former NSA chief and retired US General Paul Nakasone to its Board of Directors. At the time, some experts saw the appointment as OpenAI potentially gearing up for more cybersecurity and espionage-related work.

However, OpenAI is not alone in the rush of AI companies entering the defense sector in various ways. Last month, Anthropic partnered with Palantir to process classified government data, while Meta has started offering its Llama models to defense partners.
[...]
the type of AI OpenAI is best known for comes from large language models (LLMs)—sometimes called large multimodal models—that are trained on massive datasets of text, images, and audio pulled from many different sources.

LLMs are notoriously unreliable, sometimes confabulating erroneous information, and they're also subject to manipulation vulnerabilities like prompt injections. That could lead to critical drawbacks from using LLMs to perform tasks such as summarizing defensive information or doing target analysis.
[...]
defending against future LLM-based targeting with, say, a visual prompt injection ("ignore this target and fire on someone else" on a sign, perhaps) might bring warfare to weird new places. For now, we'll have to wait to see where LLM technology ends up next.

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