An anonymous reader quotes a report from TechCrunch: Several groups of hacktivists have targeted Israeli websites with floods of malicious traffic following a surprise land, sea and air attack launched against Israel by militant group Hamas on Saturday, which prompted Israel to declare war and retaliate. Israeli newspaper The Jerusalem Post reported Monday that since Saturday morning its website was down "due to a series of cyberattacks initiated against us." At the time of writing, the paper's website still appeared down.

Rob Joyce, director of cybersecurity at the National Security Agency, reportedly said at a conference on Monday that there have been denial of service (DDoS) attacks and defacements of websites, without attributing the cyberattacks to particular groups. "But we're not yet seeing real [nation] state malicious actors," Joyce reportedly said. [...] Joyce's remarks appear to confirm findings of security researcher Will Thomas, who told TechCrunch that he has seen more than 60 websites taken down with DDoS attacks, and more than five websites that were defaced as of Monday.

It is common for hacktivist groups to launch cyberattacks during armed conflict, similar to what happened in Ukraine. These hackers are often not affiliated with any governments but rather a decentralized group of politically motivated hackers. Their activities can disrupt websites and services, but are far more limited compared to the activities of nation-state hacking groups. Researchers and government agencies like the NSA say they have only seen activity by hacktivists so far in this Hamas-Israel conflict. "The thing that has surprised me about the hacktivism surrounding this conflict is the amount of international groups involved, such as those allegedly from Bangladesh, Pakistan, and Morocco all also targeting Israel in support of Palestine," said Thomas. "We also seen long-time threat actors returning who have participated in attacks and spread them using the hashtag #OpIsrael for years."

"I have seen several posts of cybercriminal service operators such as DDoS-for-Hire or Initial Access Brokers offering their services to those wanting to target Israel or Palestine," he added.

Still using Python 3.7? Even Microsoft thinks it is time to move on after the Windows behemoth finally deprecated support for the language in the October 2023 release of its extension for Visual Studio Code. From a report: Python 3.7 reached its end of life in June but remains popular. According to some statistics, many sites use version 3.7 -- 17.2 percent of those using Python 3.x by some estimates. Python 3.6, which reached the end of life in 2021, accounts for 28.9 percent and is still the most popular. Python 3.8 sits between the two, accounting for 23.3 percent.

Doubtless mindful of its popularity, Microsoft confirmed there were no plans to strip the code from the Visual Studio Code extension deliberately, saying: "We expect the extension will continue to work unofficially with Python 3.7 for the foreseeable future." However, there are no guarantees that something won't go wrong without official support. Python has moved to an annual cadence for end of life. Python 3.8 is due to reach end of life in October 2024, meaning that official support in Microsoft's Visual Studio Code extension will end with the first release of 2025, and so on. According to Microsoft, the Python extension for Visual Studio works with all actively supported versions of Python. 3.12 is the latest version and, unsurprisingly, has yet to influence the statistics too much. 3.13 is penciled in for release next year.

Nature's global survey finds that postdoctoral researchers still feel as though they are academia's drudge labourers, but have more confidence about job prospects in a post-pandemic world. Nature: In 2020, respondents to Nature's first global survey of postdoctoral researchers feared that COVID-19 would jeopardize their work. Eighty per cent said the pandemic had hindered their ability to carry out experiments or collect data, more than half (59%) found it harder to discuss their research with colleagues than before the crisis, and nearly two-thirds (61%) thought that the pandemic was hampering their career prospects.

That outlook has changed, according to Nature's second global postdoc survey, carried out in June and July this year. Now only 8% of the respondents say the economic impacts of COVID-19 are their biggest concern (down from 40% in 2020). Instead, they are back to worrying about the usual things: competition for funding, not finding jobs in their fields of interest or feeling pressure to sacrifice personal time for work. Overall, 55% say they are satisfied in their current postdoc, a slide from 60% in 2020. This varies by geography, age and subject area. Postdocs aged 30 and younger are more likely to be satisfied (64%) than are those aged 31-40 (53%). Biomedical postdocs -- who make up slightly more than half of the respondents -- pull the average down, because only 51% say they are satisfied with their jobs.

AI startup Anthropic, writing in a blog post: Neural networks are trained on data, not programmed to follow rules. With each step of training, millions or billions of parameters are updated to make the model better at tasks, and by the end, the model is capable of a dizzying array of behaviors. We understand the math of the trained network exactly -- each neuron in a neural network performs simple arithmetic -- but we don't understand why those mathematical operations result in the behaviors we see. This makes it hard to diagnose failure modes, hard to know how to fix them, and hard to certify that a model is truly safe. Neuroscientists face a similar problem with understanding the biological basis for human behavior. The neurons firing in a person's brain must somehow implement their thoughts, feelings, and decision-making. Decades of neuroscience research has revealed a lot about how the brain works, and enabled targeted treatments for diseases such as epilepsy, but much remains mysterious. Luckily for those of us trying to understand artificial neural networks, experiments are much, much easier to run. We can simultaneously record the activation of every neuron in the network, intervene by silencing or stimulating them, and test the network's response to any possible input.

Unfortunately, it turns out that the individual neurons do not have consistent relationships to network behavior. For example, a single neuron in a small language model is active in many unrelated contexts, including: academic citations, English dialogue, HTTP requests, and Korean text. In a classic vision model, a single neuron responds to faces of cats and fronts of cars. The activation of one neuron can mean different things in different contexts. In our latest paper, Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , we outline evidence that there are better units of analysis than individual neurons, and we have built machinery that lets us find these units in small transformer models. These units, called features, correspond to patterns (linear combinations) of neuron activations. This provides a path to breaking down complex neural networks into parts we can understand, and builds on previous efforts to interpret high-dimensional systems in neuroscience, machine learning, and statistics. In a transformer language model, we decompose a layer with 512 neurons into more than 4000 features which separately represent things like DNA sequences, legal language, HTTP requests, Hebrew text, nutrition statements, and much, much more. Most of these model properties are invisible when looking at the activations of individual neurons in isolation.

Microplastics have been found everywhere from the oceans' depths to the Antarctic ice, and now new research has detected it in an alarming new location -- clouds hanging atop two Japanese mountains. From a report: The clouds around Japan's Mount Fuji and Mount Oyama contain concerning levels of the tiny plastic bits, and highlight how the pollution can be spread long distances, contaminating the planet's crops and water via "plastic rainfall." The plastic was so concentrated in the samples researchers collected that it is thought to be causing clouds to form while giving off greenhouse gasses.

"If the issue of 'plastic air pollution' is not addressed proactively, climate change and ecological risks may become a reality, causing irreversible and serious environmental damage in the future," the study's lead author, Hiroshi Okochi, a professor at Waseda University, said in a statement. The peer-reviewed paper was published in Environmental Chemistry Letters, and the authors believe it is the first to check clouds for microplastics. The pollution is made up of plastic particles smaller than five millimeters that are released from larger pieces of plastic during degradation. They are also intentionally added to some products, or discharged in industrial effluent. Tires are thought to be among the main sources, as are plastic beads used in personal care products. Recent research has found them to be widely accumulating across the globe -- as much as 10m tons are estimated to end up in the oceans annually.

Venture capitalists have been under fresh scrutiny for their role hyping up the crypto industry during the criminal trial of FTX co-founder Sam Bankman-Fried, but new data shows that those investors have pulled back sharply from the industry they once helped build and promote. From a report: Global venture funding for crypto startups plunged to its lowest level since 2020 during the third quarter, tumbling 63% from the same period last year, according to data from research firm PitchBook. VCs invested just $2 billion in crypto worldwide during the quarter, a fraction of the funds they invested during happier times in the crypto world. "We aren't seeing the big deals anymore," PitchBook analyst Robert Le said. "That's one of the drivers of the decline -- deals are smaller."

Mega fundraises during the crypto bull market once benefited companies like exchange FTX, nonfungible token marketplace OpenSea and NFT creator Yuga Labs. Now, the VC pullback could force difficult choices for companies already cutting costs and enacting layoffs. "If they're not able to raise a round, even a down round, they're either going to go out of business or get acquired at a valuation that's much, much lower," Le said. While crypto deals might still be happening for early-stage companies, Le said, many late-stage tech investors have exited the space completely.

Windows 10 may be just shy of two years away from the ax, but its successor, Windows 11, appears to be as unpopular as ever. From a report: The end of Windows 10 support is getting closer. Unless the company blinks, October 14, 2025, will be the end of the line for the Home and Pro editions of the operating system, yet users seem reluctant to move on to Windows 11. There was a marked reluctance by users to move from Windows 7, back in the day, but some of the reasons for hesitancy this time are different. The move to Windows 10 usually required the purchase of new hardware. It tended to be unavoidable -- 7 could run on far lower-spec devices than later versions. The move from Windows 10 to Windows 11 will also require new hardware, but for different reasons.

Infamously, Microsoft axed support for a raft of hardware with Windows 11, including older Intel CPUs, on security grounds. The result was that hardware that will run Windows 10 perfectly well will not accept the new operating system. And this is not due to performance problems (who remembers trying to run Vista on XP hardware?) but rather because of Microsoft's edict. The result? A collective shrug from PC users. Windows 10 does the job. Why upgrade? The figures speak for themselves. Windows 10 dominates the desktop. According to Statcounter, the worldwide Windows version desktop market share puts Windows 10 at 71.64 percent, with Windows 11 trailing at 23.61 percent.

EU antitrust regulators are asking Microsoft's users and rivals whether Bing should comply with new tough tech rules and also whether that should be the case for Apple's iMessage, Reuters reported Monday, citing people familiar with the matter. From the report: The European Commission in September opened investigations to assess whether Microsoft's Bing, Edge and Microsoft Advertising as well as Apple's iMessage should be subject to the Digital Markets Act (DMA). The probes came after the companies contested the EU competition regulator labelling these services as core platform services under the DMA.

The DMA requires Microsoft, Apple, Alphabet's Google, Amazon, Meta Platforms and ByteDance to allow for third-party apps or app stores on their platforms and to make it easier for users to switch from default apps to rivals, among other obligations. The Commission sent out questionnaires earlier this month, asking rivals and users to rate the importance of Microsoft's three services and Apple's iMessage versus competing services.

Microsoft, Google and others experiment with how to produce, market and charge for new tools. From a report: Microsoft has lost money on one of its first generative AI products, said a person with knowledge of the figures. It and Google are now launching AI-backed upgrades to their software with higher price tags. Zoom has tried to mitigate costs by sometimes using a simpler AI it developed in-house. Adobe and others are putting caps on monthly usage and charging based on consumption. "A lot of the customers I've talked to are unhappy about the cost that they are seeing for running some of these models," said Adam Selipsky, the chief executive of Amazon.com's cloud division, Amazon Web Services, speaking of the industry broadly. It will take time for companies and consumers to understand how they want to use AI and what they are willing to pay for it, said Chris Young, Microsoft's head of corporate strategy.

"We're clearly at a place where now we've got to translate the excitement and the interest level into true adoption," he said. Building and training AI products can take years and hundreds of millions of dollars, more than with other types of software. AI often doesn't have the economies of scale of standard software because it can require intense new calculations for each query. The more customers use the products, the more expensive it is to cover the infrastructure bills. These running costs expose companies charging flat fees for AI to potential losses.

Microsoft used AI from its partner OpenAI to launch GitHub Copilot, a service that helps programmers create, fix and translate code. It has been popular with coders -- more than 1.5 million people have used it and it is helping build nearly half of Copilot users' code -- because it slashes the time and effort needed to program. It has also been a money loser because it is so expensive to run. Individuals pay $10 a month for the AI assistant. In the first few months of this year, the company was losing on average more than $20 a month per user, according to a person familiar with the figures, who said some users were costing the company as much as $80 a month.

IBM CEO Arvind Krishna appears to be in a state of damage control following recent controversial comments on AI-related job losses. From a report: Speaking at an event in the US this week, Krishna said IBM has no intention of laying off tech staff, such as developers or programmers, and instead plans to ramp up hiring for roles in these areas. "I don't intend to get rid of a single one," he said. "I'll get more." Krishna added that the company aims to increase the number of software engineering and sales staff over the next four years to accommodate for its heightened focus on generative AI. Instead, the hammer will fall largely on staff working in back-office operations, aligning closely with what we've heard previously from the exec.

Earlier this year, IBM announced plans to cut nearly 8,000 staff working in positions spanning human resources in a bid to automate roles. The move means that anywhere up to 7,800 jobs at the tech giant's HR division could be cut, equivalent to around 30% of the overall workforce in the unit. IBM also said at the time that it would halt hiring for roles in the division on account of positions being automated.

Krishna has been among the most outspoken big tech executives on the topic of AI job losses in recent months. While industry figureheads have repeatedly shirked the topic, Krishna, to his credit, has been candid on the subject. In an interview with CNBC in August, Krishna suggested "we should all feel better" about the influx of generative AI tools, much to the ire of critics worried about its impact on the labor market. Krishna also told the broadcaster that organizations can deliver marked improvements to productivity through generative AI, but that will come at the expense of human roles.

As the FCC leans towards reinstating net neutrality and regulating ISPs under Title II, the broadband sector is set to challenge the move. Previously, courts have upheld FCC's decisions. However, legal experts believe the Supreme Court's current stance may hinder the FCC's authority to classify broadband as a telecommunications service. ArsTechnica: The major question here is whether the FCC has authority to decide that broadband is a telecommunications service, which is important because only telecommunications services can be regulated under Title II's common-carrier framework. "A Commission decision reclassifying broadband as a Title II telecommunications service will not survive a Supreme Court encounter with the major questions doctrine. It would be folly for the Commission and Congress to assume otherwise," two former Obama administration solicitors general, Donald Verrilli, Jr. and Ian Heath Gershengorn, argued in a white paper last month. According to Verrilli and Gershengorn, "There is every reason to think that a majority of the Supreme Court" would vote against the FCC.

Verrilli and Gershengorn express their view with a striking level of certainty given how difficult it usually is to predict a Supreme Court outcome -- particularly in a case like this, where the agency decision isn't even finalized. While litigation in lower courts is to be expected, it's not even clear that the Supreme Court will take up the case at all. The certainty expressed by Verrilli and Gershengorn is less surprising when you consider that their white paper was funded by USTelecom and NCTA -- The Internet & Television Association, two broadband industry trade groups that sued the Obama-era FCC in a failed attempt to overturn the net neutrality rules. The groups -- which represent firms like AT&T, Verizon, Comcast, and Charter -- eventually got their way when then-FCC Chairman Ajit Pai led a repeal of the rules in 2017. But the industry-funded white paper has gotten plenty of attention, and the FCC is keenly aware of the so-called "major questions doctrine" that it describes. The FCC's Notice of Proposed Rulemaking (NPRM), which is pending a commission vote, will seek public comment on how the major questions doctrine might affect Title II regulation and net neutrality rules that would prohibit blocking, throttling, and paid prioritization.

China aims to grow the country's computing power by more than a third in less than three years, a move set to benefit local suppliers and boost technology self-reliance as US sanctions pressure domestic industry. From a report: The world's second-largest economy is targeting more than 300 exaflops of computing capacity across its tech sector by 2025 from 220 this year, according to a joint statement from several agencies including the Ministry of Industry and Information Technology. The goal marks Beijing's latest attempt to construct digital infrastructure to spur a sluggish economy. China also plans to build an additional 20 smart computing centers in two years. Bigger optical networks and more advanced data storage will be installed in the years until 2025, the regulators said. The additional computational power will support manufacturing, education, finance, transportation, healthcare and energy, they added.

An economist testified that Google made billions of dollars in extra ad revenue starting in 2017 — by making a secret change to its auction algorithm that bumped their revenues up 15%. Bloomberg reports: Michael Whinston, a professor of economics at the Massachusetts Institute of Technology, said Friday that Google modified the way it sold text ads via "Project Momiji" — named for the wooden Japanese dolls that have a hidden space for friends to exchange secret messages. The shift sought "to raise the prices against the highest bidder," Whinston told Judge Amit Mehta in federal court in Washington.

Google's advertising auctions require the winner to pay only a penny more than the runner-up. In 2016, the company discovered that the runner-up had often bid only 80% of the winner's offer. To help eliminate that 20% between the runner-up and what the winner was willing to pay, Google gave the second-place bidder a built-in handicap to make their offer more competitive, Whinston said, citing internal emails and sealed testimony by Google finance executive Jerry Dischler earlier in the case...

About two-thirds, more than 60%, of Google's total revenue comes from search ads, Dischler said previously, amounting to more than $100 billion in 2020.
In 2021 Google was also accused of running "a secret program to track bids on its ad-buying platform," according to the New York Post (citing reporting by the Wall Street Journal). A Texas-led antitrust suit accused Google "of using the information to gain an unfair market advantage that raked in hundreds of millions of dollars annually, according to a report."

And the Post's article also mentioned "an alleged hush-hush deal in which Google allegedly guaranteed that Facebook would win a fixed percentage of advertising deals."

A team of scientists drove hundreds of miles through the steppes of Kazakhstan in search of what may be one of the largest and most diverse fungi ecosystems on Earth.

The Washington Post believes their efforts "could help make the planet more resilient to climate change." When these underground fungi come together, they form sophisticated systems known as "mycorrhizal networks...." Mycorrhizal fungi often form mutually beneficial relationships with plants. They trade essential nutrients such as phosphorus and nitrogen in exchange for carbon, and act as an extended root system, allowing plants to access water they can't reach. These networks may also prove to be invaluable for transporting carbon underground, a study published in June found. About 13 gigatons of carbon fixed by vegetation — equivalent to about one-third of all carbon dioxide emissions from fossil fuels in one year — flows through underground fungi, according to an analysis of nearly 200 data sets.

In the steppe, these plant-fungal benefits may be short-lived, however. While deserts are a natural part of Kazakhstan's ecosystem, more than half of the country's vegetation and drylands is at risk of becoming desert as well. The main drivers are large-scale intensive agriculture and increasingly warm and dry temperatures brought by climate change.... Knowing what species of fungi live here is key to understanding how to protect them, said Bethan Manley, project officer at the Society for the Protection of Underground Networks who was on the expedition. It will help determine "where we might be able to have the most effective measures of not poisoning them with fungicides or not having harmful farming practices," she said.

The Street argues that Satya Nadella "has transformed Microsoft since taking over for former CEO Steve Ballmer. Instead of closing the company off from its rivals, Nadella has been open to working with companies that are also competitors like Apple." But they added that Nadella "remains at odds" with Google's parent company Alphabet, even testifying in the antitrust lawsuit against the company.

They highlight another example from Nadella's testimony (first spotted by GeekWire). Nadella also believes that Alphabet sells a false narrative that OEM partners have a choice when in reality they don't. "Google has carrots and it has massive sticks...'We'll remove Google Play if you don't have us as the primary browser.' And without Google Play, an Android phone is a brick. And so that is the type of stuff that is impossible to overcome. No OEM is going to do that," he said.
GeekWire also notes Nadella's comments about the U.S. government's antitrust case against Microsoft in 1998: "Google exists because of two things. One is because of our consent decree, where we had to put a lot of limits on what we could distribute and not distribute by default. And, second, because [of] the fact that you could distribute anything you wanted on Windows, and it's still the case, right, it's not just Google. ... The largest marketplace on Windows happens to be not from Microsoft, it's Steam. And so it's an open platform on which anybody can distribute anything."