Nvidia is banking on its software expertise and broad GPU ecosystem to stay ahead in the fiercely competitive AI chip market, CEO Jensen Huang said in an interview with Goldman Sachs Wednesday. Huang pointed to NVIDIA's large base of installed GPUs and their software compatibility as key strengths.

Huang highlighted three key elements of Nvidia's competitive moat: a large installed base of GPUs across multiple platforms, the ability to enhance hardware with software like domain-specific libraries, and expertise in building rack-level systems. The CEO said Nvidia's chip design prowess, noting the company has developed seven different chips for its upcoming Blackwell platform.

These comments come as Nvidia faces increasing competition from rivals. Addressing supply chain concerns, Huang said NVIDIA has sufficient in-house intellectual property to shift manufacturing if necessary without significant disruption. The company plans to begin shipping Blackwell-based products in the fourth quarter of fiscal 2025, with volume production ramping up in fiscal 2026, according to Huang.

From the note that Goldman Sachs sent to its clients: 1) Accelerated Computing: Mr. Huang highlighted his long-held view that Moore's Law was no longer delivering the rate of innovation it had in the past and, as such, was driving computation inflation in Data Centers. Further, he noted that the densification and acceleration of the $1 trillion data center infrastructure installed base alone would drive growth over the next 10 years, as it would deliver material performance improvement and/or cost savings.

2) Customer ROI: Mr. Huang noted that we have hit the end of transistor scaling that enabled better utilization rates and cost reductions in the previous virtualization and cloud computing cycles. He explained that, while using a GPU to augment a CPU will drive an increase in cost in absolute terms (~2x) in the case of Spark (distributed processing system and analytics engine for big data), the net cost benefit could be as large as ~10x for an application like Spark given the speed up of ~20x. From a revenue generation perspective, Mr. Huang shared that hyperscale customers can generate $5 in rental revenue for every $1 spent on Nvidia's infrastructure, given sustained strength in the demand for accelerated computing.

Microsoft today announced significant strides in its Azure Quantum Cloud service, including the demonstration of logical operations using the largest number of error-corrected qubits ever achieved. This progress brings the industry closer to building reliable quantum computers capable of solving complex problems beyond the reach of classical systems, the company said.

In a significant partnership, Microsoft is collaborating with Atom Computing to integrate their neutral-atom hardware into Azure Quantum. Atom Computing has already shown promise with hardware exceeding 1,000 qubits. Key to Microsoft's advancements is the implementation of the "tesseract code" error correction scheme on Quantinuum's trapped-ion quantum hardware. This led to a 22-fold reduction in error rates, a critical step towards reliable quantum computations. Microsoft is also committed to simplifying quantum programming. Azure's Q# language will now automatically handle complex error correction, making quantum development more accessible.

Oracle missed the tech industry's move to cloud computing last decade and ended up an also-ran. Now the AI boom has given it another shot. WSJ: The 47-year-old company that made its name on relational database software has emerged as an attractive cloud-computing provider for AI developers such as OpenAI, sending its long-stagnant stock to new heights. Oracle shares are up 34% since January, well outpacing the Nasdaq's 14% rise and those of bigger competitors Microsoft, Amazon.com and Google.

It is a surprising revitalization for a company many in the tech industry had dismissed as a dinosaur of a bygone, precloud era. Oracle appears to be successfully making a case to investors that it has become a strong fourth-place player in a cloud market surging thanks to AI. Its lateness to the game may have played to its advantage, as a number of its 162 data centers were built in recent years and are designed for the development of AI models, known as training.

In addition, Oracle isn't developing its own large AI models that compete with potential clients. The company is considered such a neutral and unthreatening player that it now has partnerships with Microsoft, Google and Amazon, all of which let Oracle's databases run in their clouds. Microsoft is also running its Bing AI chatbot on Oracle's servers.

An anonymous reader quotes a report from Reuters: The U.S. Commerce Department said Monday it is proposing to require detailed reporting requirements for advanced artificial intelligence developers and cloud computing providers to ensure the technologies are safe and can withstand cyberattacks. The proposal from the department's Bureau of Industry and Security would set mandatory reporting to the federal government about development activities of "frontier" AI models and computing clusters. It would also require reporting on cybersecurity measures as well as outcomes from so-called red-teaming efforts like testing for dangerous capabilities including the ability to assist in cyberattacks or lowering barriers to entry for non-experts to develop chemical, biological, radiological, or nuclear weapons. External red-teaming has been used for years in cybersecurity to identify new risks, with the term referring to U.S. Cold War simulations where the enemy was termed the "red team." [...] Commerce said the information collected under the proposal "will be vital for ensuring these technologies meet stringent standards for safety and reliability, can withstand cyberattacks, and have limited risk of misuse by foreign adversaries or non-state actors." Further reading: Biden Signs Executive Order To Oversee and Invest in AI

An anonymous reader shares a report: Passport numbers for a group of Disney cruise line workers. Disney+ streaming revenue. Sales of Genie+ theme park passes. The trove of data from Disney that was leaked online by hackers earlier this summer includes a range of financial and strategy information that sheds light on the entertainment giant's operations, according to files viewed by The Wall Street Journal. It also includes personally identifiable information of some staff and customers.

The leaked files include granular details about revenue generated by such products as Disney+ and ESPN+; park pricing offers the company has modeled; and what appear to be login credentials for some of Disney's cloud infrastructure. (The Journal didn't attempt to access any Disney systems.) "We decline to comment on unverified information The Wall Street Journal has purportedly obtained as a result of a bad actor's illegal activity," a Disney spokesman said. Disney told investors in an August regulatory filing that it is investigating the unauthorized release of "over a terabyte of data" from one of its communications systems. It said the incident hadn't had a material impact on its operations or financial performance and doesn't expect that it will.

Data that a hacking entity calling itself Nullbulge released online spans more than 44 million messages from Disney's Slack workplace communications tool, upward of 18,800 spreadsheets and at least 13,000 PDFs, the Journal found. The scope of the material taken appears to be limited to public and private channels within Disney's Slack that one employee had access to. No private messages between executives appear to be included. Slack is only one online forum in which Disney employees communicate at work.

Safe Superintelligence (SSI), co-founded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion to develop safe AI systems that surpass human capabilities. The company, valued at $5 billion, plans to use the funds to hire top talent and acquire computing power, with investors including Andreessen Horowitz, Sequoia Capital, and DST Global. Reuters reports: Sutskever, 37, is one of the most influential technologists in AI. He co-founded SSI in June with Gross, who previously led AI initiatives at Apple, and Daniel Levy, a former OpenAI researcher. Sutskever is chief scientist and Levy is principal scientist, while Gross is responsible for computing power and fundraising. Sutskever said his new venture made sense because he "identified a mountain that's a bit different from what I was working on."

SSI is currently very much focused on hiring people who will fit in with its culture. Gross said they spend hours vetting if candidates have "good character", and are looking for people with extraordinary capabilities rather than overemphasizing credentials and experience in the field. "One thing that excites us is when you find people that are interested in the work, that are not interested in the scene, in the hype," he added. SSI says it plans to partner with cloud providers and chip companies to fund its computing power needs but hasn't yet decided which firms it will work with. AI startups often work with companies such as Microsoft and Nvidia to address their infrastructure needs.

Sutskever was an early advocate of scaling, a hypothesis that AI models would improve in performance given vast amounts of computing power. The idea and its execution kicked off a wave of AI investment in chips, data centers and energy, laying the groundwork for generative AI advances like ChatGPT. Sutskever said he will approach scaling in a different way than his former employer, without sharing details. "Everyone just says scaling hypothesis. Everyone neglects to ask, what are we scaling?" he said. "Some people can work really long hours and they'll just go down the same path faster. It's not so much our style. But if you do something different, then it becomes possible for you to do something special."

After an initial euphoric rush to the cloud, admins are questioning the value and promise of the tech giant's services. The Register: According to a report published by UK cloud outfit Civo, more than a third of organizations surveyed reckoned that their move to the cloud had failed to live up to promises of cost-effectiveness. Over half reported a rise in their cloud bill. Although the survey, unsurprisingly, paints Civo in a flattering light, some of its figures may make uncomfortable reading for customers sold on the promises from hyperscalers. Like-for-like comparisons for a simple three-node cluster with 200 GB of persistent storage and a 5 TB data transfer showed prices going from $1,278.58 in 2022 to $1,458.68 in 2024 on Microsoft Azure.

For Google, the price went from $1,107.61 to $1,250.35. According to Civo's figures, the cost at AWS increased from $1,142.46 to $1,234.59. "The Kubernetes prices were taken from the hyperscalers' very own pricing calculators," a Civo spokesperson told The Register. In the IT world, there is an expectation that bang for buck increases as time goes by, but in this example, prices are rising faster than the rate of inflation, and what customers receive for their money remains unchanged.

Firefox 130 introduces several enhancements, including improved local translation handling, better Android page load performance, and the WebCodecs API for low-level audio/video processing on desktop platforms. Notably, it also supports third-party AI chatbots like ChatGPT and Google Gemini via the new Firefox Labs feature. Phoronix reports: The WebCodecs API is particularly useful for web-based apps like video/audio editors and video conferencing that may want control over individual frames of a video stream or audio chunks. For any web software interested in that low-level audio/video encode/decode handling there is now WebCodecs API working on the Firefox desktop builds. As for the third-party AI chatbots, here's what Mozilla's Ian Carmichael said back in June: "If you want to use AI, we think you should have the freedom to use (or not use) the tools that best suit your needs. Instead of juggling between tabs or apps for assistance, those who opt-in will have the option to access their preferred AI service from the Firefox sidebar to summarize information, simplify language, or test their knowledge, all without leaving their current web page."

You can learn more about Firefox 130 via developer.mozilla.org. Binaries for Linux can be found at Mozilla.org.

Elastic, creator of popular search engine Elasticsearch and visualization tool Kibana, plans to introduce the AGPL open-source license alongside its existing licenses. The move comes three years after Elastic ditched the Apache 2.0 license, sparking controversy in the tech community.

Founder Shay Banon says the change aims to clarify Elastic's market position following AWS's creation of OpenSearch, a fork of Elasticsearch. Despite initial friction, Banon claims Elastic's relationship with AWS has improved, citing growth in Elastic Cloud revenue and customer base.

Long-time Slashdot reader theodp writes: The Contingency Contingent, is Leigh Claire La Berge's amazing tale of what she calls her "fake job in Y2K preparedness." La Berge offers an insider's view of the madness that ensued when Y2K panic gave rise to seemingly-limitless spending at mega-corporations for massive enterprise-wide Y2K remediation projects led by management consulting firms that left clients with little to show for their money. (La Berge was an analyst for consulting firm Arthur Andersen, where "the Andersen position was that 'Y2K is a documentation problem, not a technology problem'.... At a certain point all that had happened yesterday was our documenting, so then we documented that. Then, exponentially, we had to document ourselves documenting our own documentation."). In what reads like the story treatment for an Office Space sequel, La Berge writes that it was a fake job "because Andersen was faking it."
From the article: The firm spent the late 1990s certifying fraudulent financial statements from Enron, the Texas-based energy company that made financial derivatives a household phrase, until that company went bankrupt in a cloud of scandal and suicide and Andersen was convicted of obstruction of justice, surrendered its accounting licenses, and shuttered. But that was later.

Finally, it was a fake job because the problem that the Conglomerate had hired Andersen to solve was not real, at least not in the sense that it needed to be solved or that Andersen could solve it. The problem was known variously as Y2K, or the Year 2000, or the Y2K Bug, and it prophesied that on January 1, 2000, computers the world over would be unable to process the thousandth-digit change from 19 to 20 as 1999 rolled into 2000 and would crash, taking with them whatever technology they were operating, from email to television to air-traffic control to, really, the entire technological infrastructure of global modernity. Hospitals might have emergency power generators to stave off the worst effects (unless the generators, too, succumbed to the Y2K Bug), but not advertising firms.

With a world-ending scenario on the horizon, employment standards were being relaxed. The end of the millennium had produced a tight labor market in knowledge workers, and new kinds of companies, called dot-coms, were angling to dominate the emergent world of e-commerce. Flush with cash, these companies were hoovering up any possessors of knowledge they could find. Friends from my gradeless college whose only experience in business had been parking-lot drug deals were talking stock options.
Looking back, the author remembers being "surprised by how quickly Y2K disappeared from office discourse as though censored..."

Their upcoming book is called Fake Work: How I Began to Suspect Capitalism is a Joke.

Casey Newton, former senior editor at the Verge, weighs in on Platformer about the arrest of Telegram CEO Pavel Durov.

"Fending off onerous speech regulations and overzealous prosecutors requires that platform builders act responsibly. Telegram never even pretended to." Officially, Telegram's terms of service prohibit users from posting illegal pornographic content or promotions of violence on public channels. But as the Stanford Internet Observatory noted last year in an analysis of how CSAM spreads online, these terms implicitly permit users who share CSAM in private channels as much as they want to. "There's illegal content on Telegram. How do I take it down?" asks a question on Telegram's FAQ page. The company declares that it will not intervene in any circumstances: "All Telegram chats and group chats are private amongst their participants," it states. "We do not process any requests related to them...."

Telegram can look at the contents of private messages, making it vulnerable to law enforcement requests for that data. Anticipating these requests, Telegram created a kind of jurisdictional obstacle course for law enforcement that (it says) none of them have successfully navigated so far. From the FAQ again:

To protect the data that is not covered by end-to-end encryption, Telegram uses a distributed infrastructure. Cloud chat data is stored in multiple data centers around the globe that are controlled by different legal entities spread across different jurisdictions. The relevant decryption keys are split into parts and are never kept in the same place as the data they protect. As a result, several court orders from different jurisdictions are required to force us to give up any data. [...] To this day, we have disclosed 0 bytes of user data to third parties, including governments.

As a result, investigation after investigation finds that Telegram is a significant vector for the spread of CSAM.... The company's refusal to answer almost any law enforcement request, no matter how dire, has enabled some truly vile behavior. "Telegram is another level," Brian Fishman, Meta's former anti-terrorism chief, wrote in a post on Threads. "It has been the key hub for ISIS for a decade. It tolerates CSAM. Its ignored reasonable [law enforcement] engagement for YEARS. It's not 'light' content moderation; it's a different approach entirely.
The article asks whether France's action "will embolden countries around the world to prosecute platform CEOs criminally for failing to turn over user data." On the other hand, Telegram really does seem to be actively enabling a staggering amount of abuse. And while it's disturbing to see state power used indiscriminately to snoop on private conversations, it's equally disturbing to see a private company declare itself to be above the law.

Given its behavior, a legal intervention into Telegram's business practices was inevitable. But the end of private conversation, and end-to-end encryption, need not be.

"Dirk Hohndel, a Linux kernel developer and long-time open source leader, wanted his audience at KubeCon + CloudNativeCon + Open Source Summit China 2024 Summit China to know he's not a Valkey developer," writes Steven J. Vaughan-Nichols. "He's a Valkey user and fan." [Hohndel] opened his speech by recalling how the open source, high-performance key/value datastore Valkey had been forked from Redis... Hohndel emphasized that "forks are good. Forks are one of the key things that open source licenses are for. So, if the maintainer starts doing things you don't like, you can fork the code under the same license and do better..." In this case, though, Redis had done a "bait-and-switch" with the Redis code, Hohndale argued. This was because they had made an all-too-common business failure: They hadn't realized that "open source is not a business model...."

While the licensing change is what prompted the fork, Hohndel sees leadership and technical reasons why the Valkey fork is likely to succeed. First, two-thirds of the formerly top Redis maintainers and developers have switched to Valkey. In addition, AWS, Google Cloud, and Oracle, under the Linux Foundation's auspices, all support Valkey. When both the technical and money people agree, good things can happen.

The other reason is that Valkey already looks like it will be the better technical choice. That's because the recently announced Valkey 8.0, which builds upon the last open source version of Redis, 7.2.4, introduces serious speed improvements and new features that Redis users have wanted for some time. As [AWS principal engineer Madelyn] Olson said at Open Source Summit North America earlier this year, "Redis really didn't want to break anything." Valkey wants to move a bit faster. How much faster? A lot. Valkey 8.0 overhauls Redis's single-threaded event loop threading model with a more sophisticated multithreaded approach to I/O operations. Hohndel reported that on his small Valkey-powered aircraft tracking system, "I see roughly a threefold improvement in performance, and I stream a lot of data, 60 million data points a day."
The article notes that Valkey is already being supported by major Linux distros including AlmaLinux, Fedora, and Alpine.

CSO Online reports that North Korea "is actively infiltrating Western companies using skilled IT workers who use fake identities to pose as remote workers with foreign companies, typically but not exclusively in the U.S."

Slashdot reader snydeq shares their report, which urges information security officers "to carry out tighter vetting of new hires to ward off potential 'moles' — who are increasingly finding their way onto company payrolls and into their IT systems." The schemes are part of illicit revenue generation efforts by the North Korean regime, which faces financial sanctions over its nuclear weapons program, as well as a component of the country's cyberespionage activities.

The U.S. Treasury department first warned about the tactic in 2022. Thosands of highly skilled IT workers are taking advantage of the demand for software developers to obtain freelance contracts from clients around the world, including in North America, Europe, and East Asia. "Although DPRK [North Korean] IT workers normally engage in IT work distinct from malicious cyber activity, they have used the privileged access gained as contractors to enable the DPRK's malicious cyber intrusions," the Treasury department warned... North Korean IT workers present themselves as South Korean, Chinese, Japanese, or Eastern European, and as U.S.-based teleworkers. In some cases, DPRK IT workers further obfuscate their identities by creating arrangements with third-party subcontractors.

Christina Chapman, a resident of Arizona, faces fraud charges over an elaborate scheme that allegedly allowed North Korean IT workers to pose as U.S. citizens and residents using stolen identities to obtain jobs at more than 300 U.S. companies. U.S. payment platforms and online job site accounts were abused to secure jobs at more than 300 companies, including a major TV network, a car manufacturer, a Silicon Valley technology firm, and an aerospace company... According to a U.S. Department of Justice indictment, unsealed in May 2024, Chapman ran a "laptop farm," hosting the overseas IT workers' computers inside her home so it appeared that the computers were located in the U.S. The 49-year-old received and forged payroll checks, and she laundered direct debit payments for salaries through bank accounts under her control. Many of the overseas workers in her cell were from North Korea, according to prosecutors. An estimated $6.8 million were paid for the work, much of which was falsely reported to tax authorities under the name of 60 real U.S. citizens whose identities were either stolen or borrowed...

Ukrainian national Oleksandr Didenko, 27, of Kyiv, was separately charged over a years-long scheme to create fake accounts at U.S. IT job search platforms and with U.S.-based money service transmitters. "Didenko sold the accounts to overseas IT workers, some of whom he believed were North Korean, and the overseas IT workers used the false identities to apply for jobs with unsuspecting companies," according to the U.S. Department of Justice. Didenko, who was arrested in Poland in May, faces U.S. extradition proceedings...

How this type of malfeasance plays out from the perspective of a targeted firm was revealed by security awareness vendor KnowBe4's candid admission in July that it unknowingly hired a North Korean IT spy... A growing and substantial body of evidence suggests KnowBe4 is but one of many organizations targeted by illicit North Korean IT workers. Last November security vendor Palo Alto reported that North Korean threat actors are actively seeking employment with organizations based in the U.S. and other parts of the world...

Mandiant, the Google-owned threat intel firm, reported last year that "thousands of highly skilled IT workers from North Korea" are hunting work. More recently, CrowdStrike reported that a North Korean group it dubbed "Famous Chollima" infiltrated more than 100 companies with imposter IT pros.
The article notes the infiltrators use chatbots to tailor the perfect resume "and further leverage AI-created deepfakes to pose as real people." And the article includes this quote from a former intelligence analyst for the U.S. Air Force turned cybersecurity strategist at Sysdig. "In some cases, they may try to get jobs at tech companies in order to steal their intellectual property before using it to create their own knock-off technologies."

The article closes with its suggested "countermeasures," including live video-chats with prospective remote-work applicants — and confirming an applicant's home address.

Mukesh Ambani, Asia's richest man and the chairman of Reliance Industries, said this week that his telecom firm will offer users 100 GB of free cloud storage. Oil-to-retail giant Reliance, which is India's most valuable firm by market cap, has upended the telecom market in India by offering free voice calls and dirt-cheap internet access.

Jio, Reliance's telecom subsidiary, serves 490 million subscribers, more than any rival in India. Jio offers access to at least 2GB of data per day for 14 days to subscribers for a total of $2.3. TechCrunch adds: Reliance plans to offer Jio users up to 100 GB of free cloud storage through its Jio AI Cloud service, set to launch around Diwali in October, Ambani said.

Microsoft is to discontinue the Microsoft Action Pack and Microsoft Learning Pack on January 21, 2025, sending partners off to potentially pricier and cloudier options. From a report: The Action Pack and Learning Pack, alongside Silver or Gold Membership, gave Microsoft partners access to many on-premises licenses for the company's software. The company's recommended replacements, Partner Success Core Benefits and Partner Success Expanded, abandon those benefits in favor of cloud services. According to Microsoft, it is "evolving the partner benefits offerings to provide partners with the tools and support they need to continue to lead the way in the shifting tech landscape."

Or cutting back on some things in favor of others. After all, it would never do to have all that software running on-premises when Microsoft has a perfectly good cloud ready to take on partner workloads. A Register reader affected by the change told us: "The first impact for us will be cost. We'll need to go from Action Pack ($515 + VAT) to Partner Success Core ($970 + VAT). Secondly, the benefits appear to have moved all online. "That's not a problem for day-to-day operations but it will make it harder when trying to recreate a customer environment with legacy software."

An anonymous reader shares a report: OpenAI lacks advanced security and customer support. It's just a research company, not an established cloud provider. The ChatGPT-maker is not focused enough on corporate customers. These are just some of the talking points Amazon Web Services' salespeople are told to follow when dealing with customers using, or close to buying, OpenAI's products, according to internal sales guidelines obtained by Business Insider. Other talking points from the documents include OpenAI's lack of access to third-party AI models and weak enterprise-level contracts. AWS salespeople should dispel the hype around AI chatbots like ChatGPT, and steer the conversation toward AWS's strength of running the cloud infrastructure behind popular AI services, the guidelines added.

[...] The effort to criticize OpenAI is also unusual for Amazon, which often says it's so customer-obsessed that it pays little attention to competitors. This is the latest sign that suggests Amazon knows it has work to do to catch up in the AI race. OpenAI, Microsoft, and Google have taken an early lead and could become the main platforms where developers build new AI products and tools. Though Amazon created a new AGI team last year, the company's existing AI models are considered less powerful than those made by its biggest competitors. Instead, Amazon has prioritized selling AI tools like Bedrock, which gives customers access to third-party AI models. AWS also offers cloud access to in-house AI chips that compete with Nvidia GPUs, with mixed results so far.

The nonprofit American Radio Relay League — founded in 1914 — has approximately 161,000 members, according to Wikipedia (with over 7,000 members outside the U.S.)

But sometime in early May its systems network was compromised, "by threat actors using information they had purchased on the dark web," the nonprofit announced this week. The attackers accessed the ARRL's on-site systems — as well as most of its cloud-based systems — using "a wide variety of payloads affecting everything from desktops and laptops to Windows-based and Linux-based servers." Despite the wide variety of target configurations, the threat actors seemed to have a payload that would host and execute encryption or deletion of network-based IT assets, as well as launch demands for a ransom payment, for every system... The FBI categorized the attack as "unique" as they had not seen this level of sophistication among the many other attacks, they have experience with.

Within 3 hours a crisis management team had been constructed of ARRL management, an outside vendor with extensive resources and experience in the ransomware recovery space, attorneys experienced with managing the legal aspects of the attack including interfacing with the authorities, and our insurance carrier. The authorities were contacted immediately as was the ARRL President... [R]ansom demands were dramatically weakened by the fact that they did not have access to any compromising data. It was also clear that they believed ARRL had extensive insurance coverage that would cover a multi-million-dollar ransom payment. After days of tense negotiation and brinkmanship, ARRL agreed to pay a $1 million ransom. That payment, along with the cost of restoration, has been largely covered by our insurance policy...

Today, most systems have been restored or are waiting for interfaces to come back online to interconnect them. While we have been in restoration mode, we have also been working to simplify the infrastructure to the extent possible. We anticipate that it may take another month or two to complete restoration under the new infrastructure guidelines and new standards.
ARRL's called the attack "extensive", "sophisticated", "highly coordinated" and "an act of organized crime". And tlhIngan (Slashdot reader #30335) shared this detail from BleepingComputer.

"While the organization has not yet linked the attack to a specific ransomware operation, sources told BleepingComputer that the Embargo ransomware gang was behind the breach."

Long-time Slashdot reader theodp shared this anecdote about Amazon's GenAI assistant for software development, Amazon Q: On Thursday, Amazon CEO Andy Jassy took to Twitter to boast that using Amazon Q to do Java upgrades has already saved Amazon from having to pay for 4,500 developer-years of work. ("Yes, that number is crazy but, real," writes Jassy). And Jassy says it also provided Amazon with an additional $260M in annualized efficiency gains from enhanced security and reduced infrastructure costs.

"Our developers shipped 79% of the auto-generated code reviews without any additional changes," Jassy explained. "This is a great example of how large-scale enterprises can gain significant efficiencies in foundational software hygiene work by leveraging Amazon Q."

Jassy — who FORTUNE reported had no formal training in computer science — also touted Amazon Q's Java upgrade prowess in his Letter to Shareholders earlier this year, as has Amazon in its recent SEC filings ("today, developers can save months using Q to move from older versions of Java to newer, more secure and capable ones; in the near future, Q will help developers transform their .net code as well"). Earlier this week, Business Insider reported on a leaked recording of a fireside chat in which AWS CEO Matt Garman predicted a paradigm shift in coding as a career in the foreseeable future with the prevalence of AI. According to Garman, "If you go forward 24 months from now, or some amount of time — I can't exactly predict where it is — it's possible that most developers are not coding."

Nearly 200 Google DeepMind workers signed a letter urging Google to cease its military contracts, expressing concerns that the AI technology they develop is being used in warfare, which they believe violates Google's own AI ethics principles. "The letter is a sign of a growing dispute within Google between at least some workers in its AI division -- which has pledged to never work on military technology -- and its Cloud business, which has contracts to sell Google services, including AI developed inside DeepMind, to several governments and militaries including those of Israel and the United States," reports TIME Magazine. "The signatures represent some 5% of DeepMind's overall headcount -- a small portion to be sure, but a significant level of worker unease for an industry where top machine learning talent is in high demand." From the report: The DeepMind letter, dated May 16 of this year, begins by stating that workers are "concerned by recent reports of Google's contracts with military organizations." It does not refer to any specific militaries by name -- saying "we emphasize that this letter is not about the geopolitics of any particular conflict." But it links out to an April report in TIME which revealed that Google has a direct contract to supply cloud computing and AI services to the Israeli Military Defense, under a wider contract with Israel called Project Nimbus. The letter also links to other stories alleging that the Israeli military uses AI to carry out mass surveillance and target selection for its bombing campaign in Gaza, and that Israeli weapons firms are required by the government to buy cloud services from Google and Amazon.

"Any involvement with military and weapon manufacturing impacts our position as leaders in ethical and responsible AI, and goes against our mission statement and stated AI Principles," the letter that circulated inside Google DeepMind says. (Those principles state the company will not pursue applications of AI that are likely to cause "overall harm," contribute to weapons or other technologies whose "principal purpose or implementation" is to cause injury, or build technologies "whose purpose contravenes widely accepted principles of international law and human rights.") The letter says its signatories are concerned with "ensuring that Google's AI Principles are upheld," and adds: "We believe [DeepMind's] leadership shares our concerns." [...]

The letter calls on DeepMind's leaders to investigate allegations that militaries and weapons manufacturers are Google Cloud users; terminate access to DeepMind technology for military users; and set up a new governance body responsible for preventing DeepMind technology from being used by military clients in the future. Three months on from the letter's circulation, Google has done none of those things, according to four people with knowledge of the matter. "We have received no meaningful response from leadership," one said, "and we are growing increasingly frustrated."

The Wow! signal, detected on August 15, 1977, was an intense radio transmission that appeared artificial and raised the possibility of extraterrestrial contact. However, recent research suggests it may have been caused by a natural astrophysical event involving a magnetar flare striking a hydrogen cloud. Universe Today reports: New research shows that the Wow! Signal has an entirely natural explanation. The research is "Arecibo Wow! I: An Astrophysical Explanation for the Wow! Signal." The lead author is Abel Mendez from the Planetary Habitability Laboratory at the University of Puerto Rico at Arecibo. It's available at the pre-print server arxiv.org. Arecibo Wow! is a new effort based on an archival study of data from the now-defunct Arecibo Radio Telescope from 2017 to 2020. The observations from Arecibo are similar to those from Big Ear but "are more sensitive, have better temporal resolution, and include polarization measurements," according to the authors. "Our latest observations, made between February and May 2020, have revealed similar narrowband signals near the hydrogen line, though less intense than the original Wow! Signal," said Mendez.

Arecibo detected signals similar to the Wow! signal but with some differences. They're far less intense and come from multiple locations. The authors say these signals are easily explained by an astrophysical phenomenon and that the original Wow! signal is, too. "We hypothesize that the Wow! Signal was caused by sudden brightening from stimulated emission of the hydrogen line due to a strong transient radiation source, such as a magnetar flare or a soft gamma repeater (SGR)," the researchers write. Those events are rare and rely on precise conditions and alignments. They can cause clouds of hydrogen to brighten considerably for seconds or even minutes.

The researchers say that what Big Ear saw in 1977 was the transient brightening of one of several H1 (neutral hydrogen) clouds in the telescope's line of sight. The 1977 signal was similar to what Arecibo saw in many respects. "The only difference between the signals observed in Arecibo and the Wow! Signal is their brightness. It is precisely the similarity between these spectra that suggests a mechanism for the origin of the mysterious signal," the authors write. These signals are rare because the spatial alignment between source, cloud, and observer is rare. The rarity of alignment explains why detections are so rare. The researchers were able to identify the clouds responsible for the signal but not the source. Their results suggest that the source is much more distant than the clouds that produce the hydrogen signal. "Given the detectability of the clouds as demonstrated in our data, this insight could enable precise location of the signal's origin and permit continuous monitoring for subsequent events," the researchers explain.