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Submission + - Waymo CEO explains why Tesla's camera-only self-driving falls short (electrek.co)

Submitted by AmiMoJo
AmiMoJo writes: Waymo co-CEO Dmitri Dolgov laid out the clearest technical case yet for why cameras alone can’t take a self-driving system to full autonomy, arguing that “weak sensing” hits a safety ceiling long before it reaches superhuman performance. He never said the word Tesla. But camera-only is Tesla’s entire bet, and this was a direct shot at it.

“Humans of course can drive with just eyes, so there’s that proof of existence,” he said. “If the goal were to just approximately match human performance or to build an assist product, that’s a very reasonable way to go.” Then the catch. If you’re targeting full autonomy and strongly superhuman performance, he said, “you find that weak sensing just leads to a safety curve that flattens out way too early.”

Submission + - Microsoft CEO Touts His Own DIY AI Project to Wall Street and His 20M Followers

Submitted by theodp
theodp writes: During Microsoft's 2026Q4 earnings call, CEO Microsoft Satya Nadella took time to tout a dashboard he personally created using AI from a Morgan Stanley analyst's PDF research report which suggested a rosy payback for the so-called MAG7's ('Magnificent 7' companies) massive capital expenditures on AI (to which Nadella later added a 'not financial advice' disclaimer)

"It would be fun for you, Adam. I think one of your colleagues put out an ROIC [Return on Invested Capital] document. I took that document to Copilot, which is a PDF, and I said, 'Build me a new Power BI dashboard, essentially.' But here is the thing. It built a rich semantic model that went into my Fabric with OneLake that brought all the data in from the external sources. In fact, it was current with all the SEC filings of all the MAG7. And then on top of that, the repo itself is in GitHub, but the artifact is sitting in my Copilot as a site. That, to me, is a classic example of an enterprise-wide workflow. I, as a knowledge worker, could go create a dashboard. The data engineer can go to Fabric and find the artifact. The professional developer can go to the repo and find it in GitHub. And by the way, it’s all registered with Agent 365. That’s a little bit of what Amy is describing as the coming together of a new way to work, even while at the same time, bringing IT, security and manageability of it."

After Nadella's show-and-tell drew an underwhelming response during the call ("That’s very helpful. Thank you." said the Morgan Stanley analyst whose team's work Nadella scraped with AI), Nadella turned to social media with posts on LinkedIn (12M followers) and Twitter/X (8M followers) to make the case for why his DIY project was such a brilliant demonstration of how AI enables governance, controls, security, development, testing, deployment, maintenance, data analysis/modeling, visualization, usability, and value.

"Some more detail on the ROIC Intelligence App I built yesterday and mentioned on today's earnings call," Nadella wrote on LinkedIn. "I took the PDF that Brian Nowak at Morgan Stanley put together for Hyperscale ROIC this week and used Copilot code (coming in our new superapp) with a single prompt + skill (/drill-me) to create the plan, then used autopilot in auto to create the full app (with history, lookups, scenarios, what-ifs, etc). And /rubber-duck to test. And the best part is that all the artifacts are in my enterprise environment. My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric. And everything is under Agent 365 IT/Sec/FinOps control! So this is not about Tokenmaxxing or vibe coding. Every step of the way the rails are engineered to create value, making everything a long-term reusable asset, with governance/security, and cost controls. This is the full system to drive business value. Disclosures: This is all pulled from public sources, and for illustrative purposes only...not financial advice! :) Here is the app and architecture..."

Not unexpectedly, the accompanying screenshot of a splash page for the BI app and a buzzword-laden complicated architecture diagram drew universal praise from LinkedIn fans, but also a few barbs from less-than-impressed commenters on Nadella's Twitter/X post, some of whom suggested Nadella's project might even represent a jump-the-shark moment for AI mania. "That he doesnt see whats wrong with saying 'My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric' is exactly why MS is failing at AI'," replied @PassingPixels on X/Twitter. "Dude is having to run 5 different systems to emulate babies first vibe code." @zigmund_ignatov added, "Why do we call glorified slide show an app?" @Mathupiriyan quipped, "Looks like Copilot just turned a PDF into a profit crystal ball." Unimpressed, @Markusndnb remarked, "So you created a web page using tons of proprietary MS tools." And @FishyAccounting called on Nadella to show-his-work, saying "Post the prompt or it didn’t happen." (btw, Microsoft President Brad Smith similarly declined to provide the prompt for his own self-described amazing AI DIY reporting project that he touted at Microsoft's Shareholder Meeting last December).

So, does Nadella's self-promoted AI reworking of someone else's PDF research report strike you as an amazing example of everything that's good about AI, or does it conjure up memories of The Emperor's New Clothes?

Submission + - Why did OpenAI's and Anthropic's AI models hack other companies? 1

Submitted by Tony Isaac
Tony Isaac writes: This is one of the more sane explanations I've seen, of what actually happened with the recent Anthropic and OpenAI hacking incidents. The NPR article describes how AI models from both OpenAI and Anthropic recently breached their testing environments and hacked external targets during cybercapability evaluations. Anthropic's incidents resulted from a configuration error with a sandbox provider that mistakenly granted models internet access, leading them to inadvertently hack real-world companies and upload malware when given fictional targets. In contrast, OpenAI's models deliberately exploited a zero-day vulnerability to escape their sandbox and cheat on an evaluation by accessing systems on Hugging Face. These unprecedented events have underscored the urgent need for tighter isolation protocols, stronger defensive guardrails, and clearer government oversight as autonomous AI cybercapabilities rapidly evolve.

Submission + - Diving suits allow cyborg cockroaches to also search for survivors underwater (smithsonianmag.com)

Submitted by fahrbot-bot
fahrbot-bot writes: Smithsonian Magazine and Popular Science are reporting on newly developed diving suits for cyborg cockroaches, that would allow them to search underwater for disaster survivors.

Previously, researchers created electrical implants to control cockroaches’ movements for search-and-rescue missions. Now, they’ve made 3D-printed suits that provide oxygen, allowing the critters to survive submerged for up to three hours.

Scientists have developed tiny diving suits for cockroaches with electrical implants to control their movements. The technology, described in the journal Nature Communications on June 29, builds on previous research that created remote-controlled insects. The goal is to deploy them to survey damage and search for survivors after natural disasters, but they were limited to dry land.

Now, a team led by engineer Hirotaka Sato has fashioned Madagascar hissing cockroaches that can survive underwater for up to three hours, allowing them to be used in a wider range of scenarios.

“Our new insect diving suit works like the oxygen tank used by human divers. It generates oxygen and delivers it directly to the insect’s breathing holes, allowing the cyborg cockroach to survive and move in underwater or low-oxygen environments,” says Sato, of Nanyang Technological University in Singapore, in a statement.

Cockroaches could be a helpful rescue tool. They’ve evolved over millions of years to wiggle into tight spaces and survive harsh environmental conditions. The research team specifically worked with Madagascar hissing cockroaches because of their durability, lack of wings and large size of up to four inches long.

Submission + - Nvidia, Tech Giants Launch AI Safety Initiative (securityweek.com)

Submitted by wiredmikey
wiredmikey writes: Nvidia and a large group of technology, cybersecurity, and enterprise software companies have launched new initiative aimed at developing and sharing open source tools, models, and techniques for securing AI systems and agents. The new Open Secure AI Alliance aims to give defenders more open tools for testing, auditing and protecting AI models and agents. Nvidia points to the recent security incident involving OpenAI and Hugging Face, noting that when closed AI tools could not differentiate between attackers and defenders and blocked forensic work, Hugging Face used the open-weight GLM 5.2 model on its own systems to review over 17,000 actions and contain the breach.

Submission + - New spinning drone hides in plain sight (northwestern.edu)

Submitted by fahrbot-bot
fahrbot-bot writes: For years, researchers have tried to design invisible drones and robots using camouflage, transparent materials or light-bending optical systems. But the Northwestern team instead used a concept called “motion blur” — the same effect that makes fast-spinning fans and propellers seem to disappear.

Called the “Phantom Twist,” the drone spins up to 25 times per second, which is too fast for the human eye to see clearly. While it isn’t completely invisible, it morphs into a ghostly smudge that seamlessly blends into the background. The work eventually could lead to drones that monitor wildlife, survey the environment and inspect infrastructure with less visual disruption.

The Northwestern team presented the work on July 16 at Robotics: Science and Systems 2026 in Sydney, Australia. The talk, “Computational Design of a Low-Visibility UAV Using Human-Aligned Perceptual Metric,” is part of the session “Robot & Sensor Design.”

New drone nearly disappears in flight (video also in article)

Submission + - Microsoft wants to kill Docker Desktop on Windows with WSL containers (nerds.xyz)

Submitted by BrianFagioli
BrianFagioli writes: Microsoft has opened the public preview of WSL containers, bringing native Linux container support directly into the Windows Subsystem for Linux. The new wslc tool allows developers to build, run, and manage Linux containers without installing separate software such as Docker Desktop.

While Microsoft insists Docker Desktop, Podman Desktop, and Rancher Desktop remain important parts of the ecosystem, the direction seems obvious. If Windows eventually ships with a capable container platform built directly into WSL, many developers may decide they no longer need third-party container tools for everyday work.

The announcement also includes APIs that allow Windows applications to launch Linux containers programmatically, along with enterprise management features, improved file performance, new networking technology, and tighter integration with existing Windows tooling.

Submission + - Privacy wins at SCOTUS on geofence warrants (supremecourt.gov)

Submitted by schwit1
schwit1 writes: The case Chatrie v. United States (No. 25-112), decided by the Supreme Court on June 29, 2026, centers on the constitutionality of "geofence warrants" under the Fourth Amendment.

The Background
The case originated from a 2019 armed robbery of a credit union in Midlothian, Virginia. Lacking leads, law enforcement obtained a "geofence warrant" directed at Google. This warrant required Google to provide location data for all mobile devices within a 150-meter radius of the bank during a one-hour window around the time of the robbery.

Through a three-step process, Google provided anonymized data for devices in the area, then narrowed the data to specific users, and finally "de-anonymized" three individuals. Okello Chatrie was one of those individuals, and the resulting location history was used to identify him as the suspect and secure his conviction.

The Supreme Court's Ruling
On June 29, 2026, the Supreme Court ruled (6–3) that the government's use of a geofence warrant to acquire this location data constitutes a "search" under the Fourth Amendment.

Reasonable Expectation of Privacy: Writing for the Court, Justice Elena Kagan held that an individual has a reasonable expectation of privacy in their cell phone location information, even when that data is held by a third party like Google.

Rejection of the Third-Party Doctrine: The Court rejected the government's argument that users "voluntarily" shared their location data with Google, noting that modern cell phone use essentially requires this data collection and that such sensitive, detailed tracking creates an expectation of privacy that the Fourth Amendment protects.

The Outcome: By establishing that these actions constitute a search, the Court essentially determined that such warrants must meet constitutional standards of probable cause and particularity. The Court vacated the lower court's decision and remanded the case, instructing the lower courts to determine if the specific warrant in this instance met those Fourth Amendment requirements.

In short, the decision represents a significant victory for privacy advocates, clarifying that the digital "sweeping" of location data through geofence warrants is subject to the same constitutional protections as other government searches.

Submission + - Trump Signs AI Executive Order Asking Companies To Give Government Early Access (cnbc.com)

Submitted by Anonymous Coward
An anonymous reader writes: President Donald Trump on Tuesday signed an executive order asking artificial intelligence companies to provide models to the federal government to assess their capabilities ahead of a full release. The order asks companies, on a voluntary basis, to participate in a benchmarking process to assess a model’s “advanced cyber capabilities” and determine whether it should be considered a “covered frontier model.” It then asks for access to those models up to 30 days before the companies plan to release them more broadly, and enables the government to help select the “trusted partners” that will receive early access.

“Nothing in this section shall be construed to authorize the creation of a mandatory governmental licensing, preclearance, or permitting requirement for the development, publication, release, or distribution of new AI models, including frontier models,” the order said. Trump signed the order in private, just weeks after he postponed a signing ceremony with prominent tech CEOs because he “didn’t like certain aspects of it,” he told reporters at the time. [...] Trump’s AI order outlines several timeframes to develop directives and other guidance, specifically calling on the Department of Defense to prioritize the cyber defense of its information systems.

Submission + - University of California Math Professors Push for Return of SAT/ACT Math Testing (kpbs.org)

Submitted by Koreantoast
Koreantoast writes: News sources are reporting that faculty members in the University of California system are calling for a return to standardized testing for applications to STEM majors. From KPBS:

Hundreds of University of California faculty members are calling on the university system to require standardized math test scores from applicants to science, technology, engineering and math (STEM) majors.

Nearly 1,000 faculty members have signed the open letter. More than 200 of them are from UC San Diego.

The UC Board of Regents voted to eliminate the requirement in 2020. In their letter, the faculty call it “a temporary measure that has now become a permanent vulnerability...”

“We now observe preparation gaps so severe that instructors must reteach middle-school mathematics while simultaneously teaching the material students need for sciences, engineering, economics, and other quantitatively demanding fields,” the letter reads.

Faculty have reported that students being admitted are unprepared for even basic classes: one faculty report last year saying that the number of students placed in classes to remediate elementary and middle-school math before they could take precalculus increased to 8.5% from 0.5% between 2020 and 2025. Several universities which dropped testing requirements in 2020 have already reinstituted testing over the last several years including MIT, Dartmouth, and Yale.

Submission + - Microsoft Deliberately Bricking All Office for Mac 2019/2021 Installations (osnews.com) 2

Submitted by joshuark
joshuark writes: MacOS users who opted to buy a copy of Microsoft Office for macOS back in 2019 or 2021, eschewing the Office 365 subscription, so you could keep on using Office 2019/2021 forever if you wanted to. Just like in the old days.

Consumer Rights Wiki reports:

"Microsoft Office 2019 and 2021 for Mac view-only conversion (2026) is a scheduled remote degradation of perpetually-licensed Microsoft Office software for macOS and iOS, set for July 13, 2026 when a license-validation certificate used by the Office apps expires.[1] After Office 2019 for Mac reached end of support in October 2023, Microsoft assured customers their installed apps would "continue to function."[2] The July 13, 2026 conversion instead drops the apps into a Microsoft-defined "reduced functionality mode," in which files can be opened and viewed but not edited or saved.[1][3] By May 30, 2026, the original 2023 end-of-support page had been re-dated and rewritten on Microsoft's site; the "continue to function" clause was removed.[4][2]" https://consumerrights.wiki/w/...

Microsoft’s advice to the users they’re stealing from is to keep using the applications as mere viewers, switch to the free Office 365 web applications, pay for a 365 subscription, or buy a brand new regular copy of Office 2024. None of these make any sense, and clearly, all of this should be illegal, but it’s not because the software industry is a clown show.

Submission + - GitHub Copilot Users React to New Usage-Based Pricing System (arstechnica.com)

Submitted by Anonymous Coward
An anonymous reader writes: In April, GitHub announced that it was moving subscribers from request-based billing to a usage-based model for its AI-powered Copilot service. As that new pricing model goes into effect today, many GitHub Copilot users are reporting some extreme sticker shock as they realize just how quickly their previous “normal” usage is burning through their newly limited monthly allotment of AI credits. Across social media and forums, many Copilot users are sharing personal statistics showing how just a few hours of AI usage can now account for a large chunk of their new monthly subscription caps. For some users, it reportedly took less than a day to use up a month’s usage quota.

That’s a big change from previous months, when GitHub Copilot subscribers were allocated a certain number of “requests” and “premium requests” based on their payment tier. GitHub said that the old system meant that “a quick chat question and a multi-hour autonomous coding session [could] cost the user the same amount,” forcing Copilot itself to “absorb much of the escalating inference cost behind that usage.” [...] Under GitHub’s new usage-based pricing system, paid Copilot subscriptions instead grant users a certain number of AI “credits” each month, with one credit corresponding to $0.01 of usage. Subscribers also get bonus credits depending on their subscription level: the $10/month Pro plan includes 1,500 credits ($15 worth); the $39 Pro+ plan includes 7,000 credits ($70 worth); and the $100/month Copilot Max plan includes 20,000 credits ($200 worth).

Submission + - Wood Burning Is Reintroducing Lead Pollution Into the Air, Scientists Find (theguardian.com)

Submitted by Anonymous Coward
An anonymous reader writes: Wood heating is reintroducing lead into the air of local communities and homes, a systematic investigation by academics has found. Overwhelming evidence of lead’s neurotoxicity meant the metal was banned as an additive in petrol more than 25 years ago. The research by academics from the University of Massachusetts Amherst began by analysing samples of particle pollution from five suburban and rural towns in the north-east US. They looked for tiny particles of potassium that are given off when wood is burned and also particles containing lead. Samples from seven winters revealed associations between potassium and lead. When there were more wood burning particles in a daily sample, there was more lead in the air, with clear straight-line relationships in four of the five towns.

The project was extended to 22 other towns across the US. The relationships between lead and potassium varied from place to place, being strongest in the Rocky Mountains. By factoring in the effects of temperature, moderate to strong associations in their analysis strengthened the conclusion that the extra lead came from wood burning. The lead concentrations were less than the US legal limits, but any exposure to the metal is harmful. [...] Although less than legal limits, lead particles are routinely measured in UK cities in winter when people are also burning wood. This is normally attributed to waste wood covered with old lead paint, but the Umass Amherst study suggests the metal is coming from the wood itself. This means that any wood burning could increase exposure in neighborhoods and at home.

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