Video Game History Foundation founder Frank Cifaldi recently supported claims that piracy is the only effective way to preserve video games. The comments lay the blame squarely on game companies’ refusal to keep legacy content available or allow archivists to build legal repositories. Sony’s announcement that all PlayStation games will be digital-only from 2028 onward has sparked concern that titles will become harder to preserve and more easily vanish, since the company’s servers will become the sole point of distribution. In an official statement, Cifaldi noted that the end of physical PlayStation games has surprisingly little impact on the Foundation’s efforts because the majority of games from the last two decades are already digital-only.

According to the Foundation, most games nowadays are not released for consoles, let alone on physical discs. Furthermore, many discs for major titles require downloading updates before they are playable, although the DoesItPlay database reveals that, even today, most are playable offline out of the box. Cifaldi claimed that the true reason piracy remains the best option for preservation is that the Entertainment Software Association, which lobbies for game publishers, has closed off other routes. For example, in 2018, the Association opposed efforts to grant copyright exemptions for museums, libraries, and archives to retain copies of abandoned online games for research.

This is the same organization that recently helped defeat a proposed California bill to preserve premium-priced online-only games by falsely claiming that community servers are illegal. The Foundation accused the ESA of repeatedly blocking attempts by cultural heritage institutions to reform DRM legislation. Cifaldi also described the Library of Congress’ outdated software preservation process, which currently only requires tiny snippets of source code. For example, Capcom once asked the Foundation to provide the LoC with “the first and last ten pages of code” for a Mega Man game. Unable to discern where digital records began and ended, the group simply chose random segments. Platform holders’ habit of closing online storefronts and removing media from users’ accounts is also unhelpful.

The ban is part of a deepening spat between the two companies after Anthropic accused Alibaba of illicitly extracting its Claude AI model capabilities — a dispute that highlights the frantic race between the U.S. and China to take the lead in artificial intelligence. […] Anthropic said last month that it had suffered a strike by Alibaba, which it described as a “distillation” effort that involves training a less capable model on the outputs of a stronger one. The distillation helps accelerate China’s ability to reach Anthropic’s advanced Mythos Preview capabilities, it said in a letter seen by Reuters that was sent to two U.S. senators.

Alibaba’s ban comes just days after developers said Claude Code contained mechanisms that inspected user environments, including timezone and proxy-related information, and inserted subtle markers into prompts sent to Anthropic’s servers. An Anthropic employee wrote on Tuesday on X that the feature was “an experiment we launched in March” intended to prevent account abuse by unauthorized resellers and protect against model distillation. The person who spoke to Reuters about Alibaba’s ban said that Anthropic’s restrictions targeting China were difficult to enforce on individual users who can deploy servers in the United States and make traffic appear as if it originated there. But companies were more aware of legal and compliance risks, the person added.

They’re now calling it the “Inkterface” and there’s a good few things you’ll need to make it including:
1 x Adafruit ESP32 Feather with 2MB PSRAM.
1 x Adafruit eInk Breakout Friend.
1 x Adafruit 5.83” Monochrome eInk Panel.
13 x M2.5 x 5mm Pan Head Machine Screws.
4 x 1/4” x 1/4” x 3/16” Stepped Magnet SB443-OUT.

Valve even provided a video on the GitLab showing it being put together […].

Researchers have found a never-before-seen piece of macOS malware that combines a series of clever tradecraft to infect Macs with stealthy, custom-developed credential-stealing code. The malware is delivered in two stages. The first is distributed in a disk image that masquerades as Maccy, a clipboard manager for Macs. It’s compiled as AppleScript that is notable for the way it delivers the second stage. The malware is named PamStealer because the Rust-written infostealer uses the Pluggable Authentication Modules interface built into macOS to validate the target’s login password before sending it to an attacker-controlled server.

[…] PamStealer shows a native password prompt designed to resemble a system authorization request. Text that appears with the prompt says: “Maccy wants to make changes. Enter your password to allow this.” As noted earlier, once a target complies, the malware validates it locally through the PAM API. “This check is done entirely through PAM: there is no call out to dscl, security, osascript or any spawned process to verify the password, as many commodity macOS stealers do,” [said Jamf, a security firm for macOS users]. “The result is a quieter routine that keeps only a verified password, and one fewer process chain for defenders to detect on.”

If the validation fails, PamStealer displays the prompts again until it receives the correct one. Once the target enters the correct password, PamStealer displays a message stating that the file is damaged and can’t be installed. This is designed to be a decoy to prevent the target from suspecting anything is amiss. The malware uses tactics to maximize the information it can steal. One tactic is to request the target grant full disk access to the fake Maccy app. It also contains code designed to access ethereum accounts. The various techniques — particularly the Script Editor lure, a self-contained JXA dropper, a Rust-based second stage, and local validation of credentials through PAM are all noteworthy.

There were about 689 deaths for every 100,000 people in the US in 2025, according to a new report from the US Centers for Disease Control and Prevention — the lowest rate recorded in more than a century of tracking. The age-adjusted rate has fallen 22% since 2021, landing about 4% lower than it was just before the pandemic in 2019. […] The top causes of death in the US in 2025 followed longstanding patterns: Heart disease led with nearly 695,000 deaths, followed by cancer with nearly 623,000 deaths.

Unintentional injuries, which includes drug overdoses, were the third leading cause of death. Overdose deaths are still high — about 70,000 people died from an overdose in 2025, preliminary CDC data shows — but experts say that sharp declines probably played a large role in bringing the age-adjusted death rate down in the US.

SpaceX went live with its “Better than nothing beta” back in 2020 when it had almost 900 satellites operating in low-Earth orbit. It initially served a narrow band of users in the upper US and Canada, who complained about frequent service interruptions and high sensitivity to obstructions, with speeds between 50Mbps and 150Mbps, and latency from 20ms to 40ms. By 2022, the service and coverage areas had already dramatically improved. […]

SpaceX currently has over 10,000 Starlink satellites in operation, providing robust internet connectivity on land, sea, and air in over 160 countries. Performance varies by the dish, service level paid for, time of day, and location of the user, but we’re now talking 200Mbps median download speeds, 10Mbps to 40Mbps uploads, and latency hovering around 25ms.

Researchers who tracked more than 90,000 people over a decade found that sitting or lying down while awake for more than 30 minutes in one period each day was associated with an increased risk of cancer death. The risk increases for every additional hour of continuous inactivity, the findings suggest. However, the researchers also found breaking up periods of sedentary behavior longer than 30 minutes with bursts of physical activity could help reduce the risk. Getting up every half-hour, even for a short walk around the office, could do wonders for your health, they said.

[…] The findings, published in Plos Medicine, focused on the health effects of prolonged sedentary behavior on a daily basis. […] The team analyzed data from wearable devices worn by more than 91,000 UK Biobank participants, who were followed for an average of 12 years. The findings suggest prolonged inactivity lasting more than 30 minutes was associated with cancer risks. Each additional hour of prolonged inactivity every day was associated with a 10% increase in risk of cancer death. However, replacing long spells of inactivity with movement appeared to reduce that risk. Substituting one hour of sedentary behavior each day with light physical activity, such as ironing or washing up, was associated with a 12% lower risk of cancer death.

Replacing 30 minutes of inactivity each day with 30 minutes of moderate physical activity, such as walking at an average pace, was associated with an 8% lower risk. The risk was 22% lower when five minutes of inactivity was replaced with five minutes of vigorous physical activity each day, the study suggested. There were limitations to the research, including the fact that the researchers performed a statistical analysis of an observational study, so could not prove causation.

The decline in the labor force marks a “massive exodus” driven by multiple factors, said Mike Reid, head of U.S. economics at RBC. “The unemployment rate fell to 4.2% as both the number of unemployed workers and the size of the labor force pulled back,” Reid wrote in a post-report commentary. “This may well be a story of retirements but could also be a story of prior job seekers dropping out of the labor force.”

[…] [T]he rolls of those counted as not in the labor force, a group that includes the unemployed and those not looking for work, jumped by 832,000. And while the establishment survey, which counts jobs filled, showed growth for the month of 57,000, the survey of households, which counts the actual level of those working, tumbled by 507,000. On a year-over-year basis, the labor force is down by just over 1 million, while the level of the employed also has fallen by 1.06 million and the ranks of the unemployed have risen by 40,000. The employment-to-population ratio slipped to 59% in June, the lowest since October 2021. All that has happened while the unemployment rate has risen by just one-tenth of a percentage point to 4.2%.

The drop in participation is sometimes attributed to a shrinking immigrant population and retiring baby boomers and Gen Xers. However, in June the biggest plunge came from what is defined as “prime age” workers, or those between the ages of 25 and 54. That rate fell 0.6 percentage point to 83.3%, its lowest since December 2023. “Looking at the statistics now, that argument doesn’t hold up so well,” North said of the retirement and immigration rationale. “I hate to use the word ‘alarming,’" he added, but said the numbers are cause for concern.

JadePuffer’s “self-narrating” payloads “contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don’t often write but LLM-generated code produces reflexively,” Clark added. “The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds.” After exploiting CVE-2025-3248, a missing authentication vulnerability in Langflow that allows remote, unauthenticated attackers to execute arbitrary Python on the host, the AI agent began scanning for and collecting secrets, including LLM provider API keys, cloud credentials “with explicit coverage of Chinese providers” including Alibaba, Aliyun, Tencent, and Huawei, while also scanning for AWS, Azure and Google Cloud Platform, cryptocurrency wallets, and database credentials.

The AI also installed a crontab entry on the Langflow server to maintain persistence and call back to the attacker’s infrastructure every 30 minutes. JadePuffer’s intended target was a separate internet-exposed production server running a MySQL database and an Alibaba Nacos configuration service, we’re told. Nacos is an open-source service-discovery and dynamic configuration platform developed by Alibaba and used in the cloud provider’s microservices applications. The agent connected to the server’s exposed MySQL port using root credentials, although Sysdig doesn’t know how the attacker obtained them. These credentials weren’t stolen from the victim’s environment.

JadePuffer then attacked Nacos via multiple vectors including an authorization bypass flaw (CVE-2021-29441) and forging a valid JSON web token (JWT) using Nacos’s default signing key. Additionally, using its root database access, the LLM injected a backdoor administrator into the Nacos backing database. It ultimately encrypted all 1,342 Nacos service configuration items using MySQL’s built-in AES encryption function, and created an extortion demand, ransom note, Bitcoin payment address, and a Proton Mail contact […]. However, according to the threat hunters, the victim can’t recover the encrypted data, even if they paid the ransom demand, because the agent escalated “from row-level deletion to dropping entire database schemas, narrating its own targeting rationale,” without backing up any of the encrypted data.

The Foundation says the pileup of Godot pull requests pending review isn’t all bad: It’s a sign that interest in using and contribution to Godot is increasing. But the influx of contributions authored or submitted by AI is sapping the projects’ maintainers of their willingness to confront the “already tedious” work of reviewing pull requests. “If your feedback on PRs is just being absorbed by a machine and not going towards mentoring a potential future maintainer, it becomes much harder to justify spending your free time on PR review,” the Foundation said.

As the problem becomes increasingly unsustainable, the Godot Foundation says it’s in the process of updating its contribution policies, focusing on “adding barriers to low-effort slop” contributions, encouraging maintainers to review code, developing new contributors into future maintainers, and crucially, requiring that all contributions come from humans who are accountable for their code — and fixing it if it fails. “AI cannot take responsibility, and we can’t trust heavy users of AI to understand their code enough to fix it,” the Foundation said.

The Foundation says we can expect Godot’s contributing policy to soon include explicit rejections of AI-authored code, noting that contributors should only use AI assistance for “menial things” and must disclose its use. Additionally, the Foundation will reject any AI-generated text in human-to-human communications, saying it’s “a basic principle of respect” — though it says machine translations “are still acceptable” if the original text was human-authored. “Things change every day with respect to the current suite of AI tools available,” the Foundation said. “We will continue taking a conservative approach in our policies towards them, but we will re-evaluate as things evolve.”

Specifically, a feature called Conversation Focus, which boosts the audio of the person you’re speaking with so you can hear them better in loud environments. You’ll get three hours per month without a subscription, but if you want to use it more often, then you’ll need to pay up. Though even then, you’re still capped at 15 hours. Subscribing also nets you “Premium Device Support,” where you’ll get faster access to what Meta says are “human experts” trained on the smart glasses’ features, should any problems arise. Guess humans are better at some things after all.

A Meta spokesperson tells WIRED that this is “not an AI rate limit.” Rate limits are common on other AI platforms — users get free access to a feature until they hit a certain cap, then they’ll need to subscribe to use it more until the limit resets at the end of the month. However, the Conversation Focus feature runs on-device, meaning it doesn’t need to head to Meta’s servers for AI processing. There’s no real-time way to monitor how many hours you’ve used Conversation Focus, but you’ll receive a notification when you get near the limit.

“The subscription supports that ongoing work and gives power users expanded access along with premium device support,” the spokesperson says. “We’re going to start testing new optional subscription plans that offer more premium features and advanced capabilities for those who want to unlock more from our apps and AI glasses.”

[OpenAI CEO Sam Altman] and other OpenAI bosses have suggested that each of the biggest AI developers in the US should give 5% to their equity to an investment vehicle such as the Alaska Permanent Fund, a sovereign fund that invests US oil wealth into stocks and pays dividends to the state, the FT reported.

The talks are “conceptual” and in early stages, it said, and any deal could require an act of Congress to implement. Both OpenAI and Anthropic have previously suggested in policy papers that a public or sovereign wealth fund may be required in the future to distribute shares to the public. In April, OpenAI said that a “public wealth fund” could provide “every citizen — including those not invested in financial markets — with a stake in AI-driven economic growth.”

WhatsApp this week started rolling out username reservations ahead of the broader launch planned later this year. The feature — which lets people find and message each other by handle instead of phone number — is already raising impersonation concerns, drawing scrutiny from security experts and regulators in India, the app’s largest market, with more than 500 million users. The rollout marks a shift in how people identify one another on WhatsApp. Instead of relying on phone numbers as the primary identifier, users will increasingly interact through platform-managed usernames, a change that Meta says improves privacy but that critics argue could create new opportunities for impersonation.

[…] Asked about how it protects against impersonation, Meta told TechCrunch it reserves usernames for public figures, government entities, and “some variations” of those names so only the legitimate owner can claim them. The company did not explain, however, how it decides which lookalike usernames get proactively reserved and which don’t. The concerns have already reached regulators in India, where cyber fraud schemes frequently exploit messaging platforms to impersonate police, banks, and government officials. […] Rachel Tobac, chief executive of SocialProof Security, called usernames a net privacy gain because they reduce the need to share phone numbers, which can expose users to SIM-swap attacks, phishing, and account takeovers. Still, she said, lookalike usernames still create opportunities for impersonation. “Ultimately, usernames are a great idea to avoid leaking your phone number to folks you don’t know, but it’s important to verify identity with the username function too,” Tobac told TechCrunch. Her advice for most users: Pick a username that isn’t easily guessable, so it’s harder for attackers to find you, message you cold, or harass and spam you.

[…] The Mozilla Foundation said the introduction of usernames is likely to bring new tradeoffs. “Increased scams and impersonation from fake handles are potentially a big one,” it told TechCrunch. “Checking a phone number can be a useful verification tool, but these harms are also permitted by the platform’s fundamental design choices.” Mozilla also flagged a broader interoperability question — one worth logging if you’re building on top of, or competing with, Meta’s ecosystem. While letting users claim their existing Facebook and Instagram usernames may cut down on impersonation, it also shows how easily Meta can stitch identity together across its own apps, even as users still can’t take that identity, or their contacts, to a rival platform. For now, WhatsApp says it is taking a gradual approach to the rollout. “We’re taking our time and listening to feedback so that when it rolls out later this year we get it right,” the company said in its FAQ.

The banner, seen on OnePlus’ German website, tells visitors seeking “the experience you trust” that OPPO offers the same speed, performance, and compatibility that OnePlus users have come to expect. It hosts devices ranging from earbuds and tablets to OPPO’s latest foldables, with each button taking users straight to OPPO’s website. Particularly revealing is the wording. Instead of pushing future OnePlus hardware, the company focuses on the fact that OPPO’s products are built on the hardware and software that users already know, while promising seamless compatibility with current OnePlus devices. In other words, if you’re up for your next upgrade, OnePlus seems to be saying OPPO has what you’re looking for right now.

Reports in the past several months have said OnePlus has been scaling back operations in several global markets. Previous restructuring reportedly included cutting headcount, a more focused regional strategy, and greater dependence on OPPO’s infrastructure. The two brands have been sharing engineering resources, software development, and supply chains for years now, particularly as OxygenOS and ColorOS have begun to look more and more alike.

Interestingly, the change appears to be regional. OPPO already has a retail footprint in Germany, so the handoff is fairly straightforward. In the United States, however, things are very different, where OPPO does not officially sell smartphones. That means American OnePlus customers aren’t getting the same messaging, mostly because there isn’t an OPPO lineup waiting to step in.

Consider this: There are roughly 14,500 active satellites in orbit. Musk’s Starlink constellation accounts for about two thirds of those. Both the launch cadences and satellite-manufacturing capacity would have to scale up astronomically to deploy a million orbital data center satellites. For context, there have been roughly 7,000 orbital launches in all of human history. To loft 1 million satellites into low Earth orbit on SpaceX’s Starship, which is designed to carry up to 60 satellites per vehicle, would require 16,666 launches exclusively devoted to satellite deployments. Considering that SpaceX launched a record 165 orbital missions in 2025, even at 10 times that cadence, it would take a decade. And how long would it take to build 1 million satellites, given Starlink’s current pace of around 4,000 per year and a generous tenfold increase in capacity? Short of a manufacturing revolution, try 25 years.