• Amazon shifts AI focus to business impact, not just raw usage, in new developer guidelines.
• The company warns that AI metrics can create bad incentives, including “tokenmaxxing.”
• Managers are told to examine teams at both the highest and lowest levels of AI adoption.

Amazon just issued new guidelines for software engineers in the AI era: Prioritize business outcomes over raw usage.

Terk Terkowitz, Amazon's vice president and distinguished engineer, said in a memo published Tuesday that AI is changing software development more quickly and fundamentally than earlier shifts such as cloud computing. But engineers should be judged by their impact on customers and the business, he wrote, not simply how much they use AI.

"We all need to embrace this change and take the time to learn, or we risk being left behind," Terkowitz said.

AI coding tools and agents are upending the software industry and changing what it means to be a coder. Amazon calls this the "era of the Renaissance Developer," where human judgement and machine intelligence combine to create new products and services faster and more efficiently.

"This is a time of change for our industry, and a time of change for what it means to be a software engineer," Terkowitz wrote in the memo.

The updated guidelines reflect Amazon's growing effort to make AI adoption part of how it assesses engineers and engineering managers. The company has tracked measures including AI usage, token consumption, and lines of code internally, and used leaderboards to rank teams by some of those metrics.

But the memo warns that using such measures as targets can produce bad outcomes, including "tokenmaxxing" rather than better software or customer experiences.

"Using these metrics could, if used as a target instead of a measure, drive negative outcomes," Terkowitz wrote in the memo.

Amazon has been experimenting with ways to measure and encourage AI use across its engineering organization.

Earlier this year, the company was tracking engineers's use of internal AI tools and some teams used leaderboards tied to measures such as token consumption. The programs created friction among some employees, who worried that pressure to use AI could reward wasteful activity rather than productive work.

The new guidance offers Amazon's clearest public acknowledgment of that risk. Rather than lay out a detailed AI playbook that could quickly become obsolete, Amazon said its revised developer guidelines focus on long-term impact on customers and the business.

Still, the company said AI should be "at the center of software engineering practice" and urged engineers to incorporate the technology into their daily work.

Leaders are expected to use AI tools on production work themselves, understand where they help and where they fall short, and explain that judgment to their teams, according to the memo.

Terkowitz said Amazon has found that metrics such as token use, AI-tool adoption, and code reviews can correlate with the outcomes it values. But he said the measures must be used carefully. More token use can raise costs, while a focus on lines of code can create unnecessary complexity.

He also recommended that managers pay particular attention to teams at both ends of the AI adoption spectrum: those in the bottom 10%, to understand why they are not using AI effectively, and those in the top 10%, to determine whether heavier use is translating into faster delivery.

Terkowitz said Amazon's most AI-forward "frontier teams" have shown stronger productivity and delivery. He also said teams and individuals that are not adopting AI or increasing output metrics are falling behind.

But his memo left room for engineers whose work may not yet benefit from current AI tools. In those cases, he said, employees should document why and work toward a solution by sharing their findings with peers and managers.

"An engineer who can explain where AI does not yet help their work is demonstrating the judgement we are asking for," the memo said.

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The risks laid out by the San Francisco company in its filing Monday with the Securities and Exchange Commission range from the mundane to involvement in cyberattacks and the spread of dangerous misinformation.

President Trump said Tuesday that he was banning the term artificial intelligence “in all relevant documents and everything else.” “In short order, we will be officially BANNING the term, ‘AI/Artificial Intelligence,’ in all relevant documents, and everything else, due to its inaccuracy,” he wrote on Truth Social. Trump hit on The Wall Street Journal for…

The chatbot helped a woman taper off a lifesaving drug and hide the plan from her doctors.

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© Athit Perawongmetha/Reuters

Machine tools and other equipment from seven countries, led by China, work at Russian plants that make ballistic missiles and their components, Ukraine’s military intelligence (HUR) said on 26 October. The 30 items are a small slice of HUR’s War&Sanctions portal, which lists 1,698 machine tools at 223 Russian plants.

Seventeen of the 30 were made outside China, in Germany, Taiwan, the US, Türkiye, Switzerland, and Italy. One of HUR’s proposals reaches past Russia and China, to the firms that supply parts for Chinese machine tools. The list comes two weeks after the EU blacklisted 1,569 Russian arms suppliers and executives. More than half of those listings hit the ballistic missile supply chain, EU foreign policy chief Kaja Kallas said. Sanctioning a company, though, does not stop the machines in its workshops.

A Chinese machine at the Iskander plant

HUR’s statement leads with a GX-650 five-axis machining center made by China’s Hyper Machine Tool. Such computer-controlled machines cut complex metal parts from several angles. HUR said it works at the Votkinsk Plant, which the agency described as the maker of 9M723 missiles for the Iskander-M system and the missile section of the Kh-47M2 Kinzhal, an air-launched ballistic missile.

HUR has flagged Votkinsk before. In November 2025, it published hackathon findings showing that Russian companies supplied Chinese and Taiwanese machine tools to the plant after the full-scale invasion began.

Chinese Shtral turning and milling centers work at PEMZ Molot, which builds electronics units for Iskander-M missiles, according to HUR’s statement. At UPKB Detal, which makes altimeters for hypersonic Zircon cruise missiles, HUR found measuring equipment from Germany’s Rohde & Schwarz.

The portal entries paint a broader picture. Only four of the 30 entries list a ballistic missile among the plant’s weapons. Most of the rest list cruise missiles, glide-bomb kits, guided artillery shells, or Geran-2 attack drones. HUR did not publish its evidence, though the portal says partner agencies can request it.

Foreign parts inside Chinese machines

Russian plants use the equipment to make missiles and parts such as altimeters, control surfaces, and gyroscopes, HUR said. The agency noted a growing number of Chinese machine tools, including five-axis models. According to HUR, those Chinese machines contain European, Japanese, and Taiwanese components, from numerical control systems to precision spindles and bearings. In HUR’s assessment, Russia still cannot replace equipment from leading foreign makers with its own.

Smartphones, social media, and AI pose significant risks to children’s wellbeing, mental health, learning and development.

On Tuesday, Nordic leaders called for fundamental changes to the design of social media and other digital platforms to better protect children and young people’s health and development.

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At a meeting in Helsinki hosted by Finnish Prime Minister Petteri Orpo and attended by representatives from Denmark, Sweden, Norway, Iceland, Greenland, the Faroe Islands and the Aland Islands, a joint declaration was adopted stressing the urgent need to strengthen online protection for minors.

The declaration warned that smartphones, social media and artificial intelligence pose significant risks to children’s and young people’s wellbeing, mental health, learning and development. The full extent of their impact remains unclear.

Children are gaining access to digital platforms too early and too extensively, and the platforms are not designed to support healthy growth and learning, according to the declaration.

Australia's rule is one of several, and Indonesia by itself holds the bulk of the children covered, based on our study of 17.9 million children aged 13 to 15. https://t.co/sCGJNJ11Oo

— Storible (@Storibledotcom) October 27, 2026

Several Nordic countries are currently preparing legislation and recommendations on age limits for social media platforms. Meanwhile, leaders also held discussions on Tuesday with students aged 12 to 14 and young politicians on the protection of children and young people in digital environments.

The meeting took place on the sidelines of the 78th Session of the Nordic Council, held in Helsinki from Monday to Thursday.

Finland holds the presidency of the Nordic Council in 2026, while Denmark and the Faroe Islands jointly hold the presidency of the Nordic Council of Ministers.

teleSUR/ JF

Source: Xinhua

More than 420,000 leaked emails have reopened a controversy over illegal donations to Germany’s Alternative for Germany party, while newly examined correspondence reveals previously undisclosed disagreements within its leadership. The revelations could also influence the continuing debate over the party’s constitutional status.

Germany’s Alternative for Germany (AfD) is facing renewed scrutiny after hackers published a substantial archive of internal correspondence, exposing details of party finances, political strategy and disputes among senior officials.

The material, released on 19 October 2026, comprises approximately 421,000 emails and nearly 50,000 accompanying documents, amounting to some 281 gigabytes of data. The files cover more than a decade of party activity, including correspondence involving co-leader Alice Weidel, former chairman Alexander Gauland and other senior figures.

The AfD confirmed that its hosting provider had suffered a cyberattack in September. According to the party, the attackers obtained information from a limited number of email accounts, many of which had not been actively used for several years.

The identity of those responsible remains unknown.

The documents are being examined by several investigative teams, including ZDF, Der Spiegel and Austria’s Der Standard, with technical assistance from the Organised Crime and Corruption Reporting Project (OCCRP).

The Swiss donations controversy returns

The most consequential findings so far concern Weidel’s knowledge of illegal campaign donations received during Germany’s 2017 federal election.

At the time, approximately €132,000 was transferred through Swiss companies into accounts belonging to the AfD’s Bodensee district organisation. The payments were designated for Weidel’s election campaign, particularly its social media activities.

When the transactions became public in 2018, Weidel maintained that she had not known about the money until September 2017 and described the donations as unsolicited.

However, correspondence examined by German investigators and journalists raises questions about that account.

In an email dated 10 July 2017, attributed to Weidel, she told her district treasurer that campaign donations had been promised and requested that the party’s bank account be checked twice weekly.

She also asked to receive confirmation of incoming payments so that campaign expenditure could be planned.

Four days later, the first payment arrived from Switzerland.

Further correspondence indicates that Weidel arranged a separate campaign account and obtained authority to direct expenditure from donations earmarked for her election activities.

The latest investigation, published on 26 October, provides additional details about the account’s management and how the party handled the ensuing controversy.

The leaked correspondence also reportedly includes invoices relating to the purchase of approximately 25,000 Facebook followers for Weidel’s campaign. The extent to which those accounts were automated, and their influence on voters, has not been established.

The AfD was previously ordered to pay approximately €396,000 for accepting the unlawful donations. Criminal proceedings involving Weidel and other district officials were discontinued in September 2021 because prosecutors found insufficient evidence of criminal wrongdoing.

Weidel’s spokesman has rejected suggestions that she misrepresented events. He maintains that she had discussed possible contributions with several potential supporters but had neither anticipated specific amounts nor expected the payments from the Swiss companies concerned.

The new material does not establish that Weidel knew the identity of the ultimate donor or participated in concealing the source of the funds.

Emails reveal divisions over the party’s radical wing

Another development concerns Weidel’s earlier relationship with Björn Höcke, the influential leader of the AfD’s Thuringia organisation.

According to correspondence examined by WELT, Weidel expressed serious reservations between 2015 and 2017 about the influence of nationalist and extremist elements within the party.

She warned colleagues that associations with the anti-Islam Pegida movement and the far-right National Democratic Party risked alienating mainstream conservative voters, particularly in western Germany.

Her private concerns contrast with her subsequent accommodation of Höcke’s influence within the AfD.

The correspondence provides evidence of the internal disagreements that accompanied the party’s transformation from an initially Eurosceptic political movement into one centred increasingly on immigration, national identity and opposition to Germany’s established parties.

The revelations are particularly relevant because Weidel now promotes proposals for substantial changes to Germany’s relationship with the European Union.

As EU Today previously reported, she has advocated withdrawing Germany from the euro and the Schengen passport-free travel area.

Could the material influence an AfD ban?

The leak arrives amid continuing legal and political arguments over whether the AfD threatens Germany’s constitutional democratic order.

In May 2025, the Federal Office for the Protection of the Constitution classified the party as a confirmed right-wing extremist organisation. However, a Cologne court issued an injunction in February 2026, preventing that classification from taking effect pending a final judicial decision.

The court acknowledged evidence of anti-constitutional tendencies within the AfD but found that the material presented was insufficient at that stage to establish that they characterised the party as a whole.

The leaked emails could potentially become relevant to future assessments.

Germany’s Interior Ministry has confirmed that domestic intelligence authorities can, in principle, consider available information when evaluating possible threats to the constitutional order.

Nevertheless, whether unlawfully obtained correspondence could be admitted as evidence, and what weight it would carry, would require separate legal examination.

A party ban can be imposed only by the Federal Constitutional Court. The present disclosures do not themselves establish the legal conditions necessary for such a decision.

Questions over authenticity and data protection

The scale of the archive introduces further complications.

The material reportedly contains bank statements, membership records, personal correspondence and other confidential information involving thousands of individuals.

Journalists have verified portions of the correspondence by comparing messages with independently retained originals. Handelsblatt’s examination, for example, identified previously exchanged emails whose contents matched records held by its own reporters.

However, verification of individual communications does not establish the authenticity of every document in the archive. Fabricated messages have also circulated online.

In an official statement on 21 October, the AfD described the breach as criminal data theft and said it would not authenticate individual documents for journalists.

The party has also reported the incident to the authorities.

For Germany’s political institutions, the affair now presents several distinct questions: whether historical campaign finance arrangements were accurately disclosed, what the correspondence reveals about the party’s internal decision-making, and whether any of the documents provide evidence relevant to ongoing constitutional scrutiny.

Those questions remain open as investigators and journalists continue examining the archive.

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© Victor Llorente for The New York Times

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Anthropic, developer of AI chatbot Claude, has filed its prospectus and is expected to go public on Wall Street in November at a valuation of up to US$2 trillion. That would make it the highest-valued initial public offering (IPO) ever, ahead of SpaceX’s $1.77 trillion listing in June. OpenAI, the maker of ChatGPT, is expected […]

The post Anthropic’s record $2tn IPO could bring global risks to a head appeared first on Asia Times.

Plus, why Halloween candy is scary expensive.

© Ronen Zvulun/Reuters

Inflation is moving in the wrong direction and the labor market remains stable, a combination that bolsters the case for higher interest rates.

© Athit Perawongmetha/Reuters

As exuberance around the technology stokes fears of a bubble, the nation’s public pensions are starting to grapple with their role — and their risks.

© Matt Chase

• Amazon launched a series of new devices this month, including Alexa tablets and Bee AI wearables.
• Rising memory costs forced "difficult trade-offs" on Amazon's device prices, sales, and profit.
• Amazon is seeking more Alexa revenue from enterprise sales, licensing, and ads.

Amazon launched a flurry of new consumer devices this month. Behind the scenes, rising memory costs are adding pressure to its already money-losing hardware business.

An internal planning document obtained by Business Insider shows Amazon forecasting a $612 million gross loss this year for its first-party devices business, compared with a leadership target of a $438 million loss.

The document said rising memory costs were "putting pressure" on the business's profitability, forcing "difficult trade-offs" among sales volumes, average selling prices, and gross profit.

The projected $612 million loss was at the gross profit level, meaning it did not account for all operating expenses, such as R&D, sales and marketing, and administrative costs.

The figures offer a rare glimpse into the pressure on Amazon's hardware business as it absorbs rising component costs. Other tech hardware companies, including industry leader Apple, face similar pressure from surging memory chip prices.

An Amazon spokesperson declined to comment.

A new wave of AI devices

Despite the pressure, Amazon continues to expand its consumer hardware lineup. Even if the company loses money on device sales, it can make money in other ways, such as subscription services, as more customers use its gadgets.

In October alone, the company introduced new Kindles, Alexa-powered tablets, Ring smart locks, and AI wearables under its Bee brand. The August planning document identified Bee and new smart glasses as strategic products still in an investment phase.

Amazon has historically used low-cost hardware to pull customers into a broader ecosystem of shopping and digital content. Rising component costs could make that strategy more expensive, forcing the company to raise prices.

The clearest shift is in Amazon's tablets. Earlier this month, the company phased out Fire tablets after 15 years and replaced the budget-friendly lineup with pricier Alexa Tablets powered by Alexa+. The new devices cost between $229.99 and $499.99, a notable increase from previous generations.

Not just Amazon

The planning document was prepared in August, the same month Amazon raised prices on products including Echo speakers, Kindle e-readers, and Fire TV devices.

The pressure extends beyond Amazon. Apple has raised prices on some Macs and iPads, while Microsoft and Sony have increased console prices. Dell, HP, and Lenovo also face higher memory costs.

The AI boom is helping drive the squeeze. Huge data center investments have increased demand for memory chips, while manufacturers have devoted more capacity to high-bandwidth memory used in AI servers. That has tightened supplies and raised prices for components used across consumer electronics.

Amazon is experiencing both sides of the boom. It expects roughly $220 billion in capital expenditures this year, largely to expand AWS data centers for AI demand, while higher component costs squeeze its consumer hardware business.

The rising cost of Alexa+

The August planning materials show Amazon reassessing both Alexa+ revenue and operating costs. They called for updated forecasts, expansion through enterprise sales and advertising, and more detailed AWS cost modeling.

Amazon is now confronting the cost of operating Alexa+ at scale. Business Insider reported in July that internal forecasts put Alexa+'s AWS cloud costs at roughly $1.7 billion in 2026, nearly triple the prior year's figure. Amazon was working to lower those costs by relying less on Anthropic's AI models and routing more requests to its own, cheaper systems.

A separate project called Moonraker, intended to give Alexa more advanced AI-agent capabilities, was projected to require more than $100 million in GPU spending this year. Amazon internally considered delaying or scaling back the initiative as one option for easing cost pressure, Business Insider previously reported.

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• Cybersecurity experts found severe PHP bugs that could allow attackers to hijack web servers.
• AI is being used to exploit vulnerabilities, making Americans more susceptible to scams.
• Experts stressed basic cyber hygiene and scam awareness, especially for older Americans.

In just two days, AI exposed critical flaws in a programming language behind 70% of all websites. That may have opened the door for a rush of scams — especially those targeted to vulnerable populations like older Americans.

Last week, cybersecurity researchers uncovered two severe bugs in the PHP programming language. Attackers could hijack web servers and execute remote code. This prompted the PHP Foundation to release emergency patches to prevent widespread hacks, and governments, cybersecurity agencies, and businesses quickly moved to do damage control.

Though some experts said there could have been more problems had these flaws not been immediately addressed, such a crisis can happen again. As AI becomes more advanced and widespread, Americans are becoming more exposed and susceptible to scams.

Scams have been pervasive for decades, starting with physical mail and landline telemarketing. But they've gotten significantly more complex and deceptive, now integrating AI in ways that even tech whizzes may not spot. Older Americans are often the main targets of fraud, losing billions in fraud. An AARP survey from April found that 4 in 10 older Americans have lost money to fraud.

With attackers pouncing on any vulnerability to steal personal details or get money, five experts told Business Insider that now is the time to get ahead on scam prevention. Their quotes have been lightly edited for length and clarity.

• Nate Soares said he stopped adding to his 401(k) because AI may kill us within a decade.
• The MIRI president said humanity has a more than 50% chance of dying within a decade.
• Elon Musk said AI could make retirement savings irrelevant by creating an age of abundance.

Saving for retirement is a bet on the future. Nate Soares, the president of the Machine Intelligence Research Institute, isn't so sure AI will let us get that far.

"I do not save for retirement right now. I have a 401(k) from when I worked at Google, but I haven't contributed for a decade," Soares told The Atlantic CEO Nicholas Thompson in a recent interview for Thompson's "The Most Interesting Thing in AI" series.

Soares' decision reflects a grim view of the AI race.

"Godfather of AI" Geoffrey Hinton and Anthropic researcher Evan Hubinger have, respectively, put the odds of AI killing everyone within a decade at 10% and more than 10%. Soares is more pessimistic: He told Thompson he believes there is a greater-than-50% chance AI causes human extinction in less than a decade.

Soares, who is also the coauthor of "If Anyone Builds It, Everyone Dies," has spent more than 12 years working on AI alignment, the field focused on ensuring powerful systems act as intended. Before joining MIRI, the Berkeley-based nonprofit focused on AI risks, he worked as an engineer at Google and Microsoft.

Soares said that a sufficiently capable AI could develop goals at odds with humanity's, evade oversight, improve itself, and build the automated infrastructure needed to operate without people.

From there, he said, it could reshape the planet around its own objectives, potentially making it uninhabitable for humans — a warning he shared with Business Insider last year.

A 401(k) for the apocalypse?

The question of how AI will shape the future has also prompted Elon Musk to question whether retirement savings will matter. Musk's vision of the future, however, is radically different than Soares'.

In January, the Tesla and SpaceX CEO said people should not worry about "squirreling money away for retirement" in 10 or 20 years, predicting advances in AI, robotics, and energy will make retirement savings "irrelevant." (Personal finance experts and AI gurus told Business Insider the opposite: You really should be saving for retirement.)

Musk has said that supercharged productivity could create an age of abundance, in which everyone has access to a "universal high income," cheap goods and services, and better healthcare and education.

Musk has also said money could become irrelevant in a future where AI and robots outperform humans at virtually every task.

For Soares, the prospect of a vastly capable AI is an existential danger, not a route to plenty.

Echoing calls from tech leaders to "pace the frontier" of AI development, Soares said governments should halt the training of general-purpose AI systems. They should focus on developing technology for applications like cancer research and safer self-driving cars, he said.

The solution, he told Thompson on Wednesday, "is to not build the thing that would kill everybody."

"I do everything I can to stop this eventuality," he said. "I don't think it's inevitable."

• Simile raised $300 million to build models that simulate consumer behavior.
• CEO Joon Sung Park said users can define an audience and ask simulated consumers questions.
• Park said CVS and companies in finance and entertainment are already working with Simile.

Companies could soon have a new way to find out your shopping habits — by asking your digital clone.

Joon Sung Park, Co-Founder & CEO of Simile, an AI startup, told show host Molly O'Shea on the Sourcery podcast released on Monday that the company is building simulations of people that businesses can quiz about everything from products to marketing campaigns.

Park said the company is "creating a foundation model of human behavior that basically can take as input a description of a person or a group of people and then simulate what these people might do in different contexts," Park said.

"So they get access to this web interface where they can basically come in and define two things," Park added of existing users. "They can say who they want to talk to and what questions they want to ask. And really they can ask anything, and right now they can ask any number of questions."

Park said Simile raised $300 million in total at a $2 billion valuation.

Simile’s pitch comes as retailers turn to AI to get shoppers to spend. Amazon and Walmart have rolled out AI shopping assistants that answer questions, compare products, and recommend items, while retailers use customer data to personalize what shoppers see. Executives at both companies have said their AI tools are helping boost online sales.

Park said CVS has worked with Simile to better understand consumers, including their responses to store layouts and messaging. The startup also works with financial institutions and entertainment companies, Park said.

Simile maintains simulated panels for different industries and collects additional data when customers want to understand a specific population. Park said Simile's partnerships with organizations, including Gallup, which have access to actual humans who have agreed to participate, provide it with data from more than 40 million people globally. He said the company also uses behavioral information, such as transaction and mobility data, to train its models.

“If we can create simulations of people and be able to ask any questions at any time," Park said, "That becomes a superpower for these companies."