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How Accurate Are Flock's AI-Powered License-Reading Cameras?

著者: EditorDavid
2026年8月10日 16:34

🤖 AI Summary

### FlockのAI活用型車両認証カメラの精度について

Futurismは、404 MediaがLos Angeles Police Department(LAPD)の警備員監視官事務局によって実施された7月10日の検査で発見された結果を報じている。ALPR(Automatic License Plate Recognition)カメラは2ヶ月間で161件の「盗難車両」誤通知を出し、その大半が無辜な運転者に注意を引き起こしている。LAPDの誤通知率は32.3%であり、警備員は3回の検索のうち1回目が無罪の運転者に対するチェックになる。

FlockのCEO Garrett Langleyは、NCIC(FBIのNational Crime Information Center)の古びた構造を批判している。Langleyによると、NCICにはフィードバックループメカニズムがないため、静的なカンマ区切りファイルの形式しかないという。Flockでは「抑制」機能を使用し、例えばアトランタのような地域は特定の州の盗難車両の警報を一年間無効化できるが、他機関を強制する手段はない。

Roseville(カリフォルニア)での最悪事例では、Flockのカメラが同一台の車に6回誤通知し、盗まれた車両や犯罪現場とされた。Flockのソフトウェアは運転者のナンバープレート上の「9」を間違って「8」と認識した。警察当局はドライバーがナンバープレートカバーを外すことを提案した。

Flockのカメラは最適な状況でも車両番号の96%以上を正しく読み取れるという主張があるが、ローズビル警察署の記録によると、71%以上の通知が誤認識であり、映像は曇っていて、ナンバープレートや州名が誤って認識されている。警備局は、カメラ設置の特殊性と古いハードウェアを使用したことにより誤認識が増えた。

トーラード(オハイオ)での例では、ドライバーのブランダン・アップチャーチが車両番号「7」を「2」と誤認識され、警備犬に噛まれて重傷を負い、職を失った。彼は警備局と警察官を相手に35,000ドルの訴訟で和解した。

IPVM(独立研究機関)がFlockのナンバープレート読み取りシステムのテスト結果によると、10回の読み取りのうち約1回が州名誤認識し、車両タイプやメーカーも間違えることが多かった。これらの不正はFlockがIPVMの購入を停止したことに繋がった。

この記事はFlockのAI活用型カメラの精度についての懸念と課題を浮き彫りにし、警備員と運転者双方への影響を示している。
Futurism reports: 404 Media revealed that a July 10 audit by the Los Angeles Police Department Office of the Inspector General caught the department's ALPR cameras generating 161 false stolen-vehicle alerts in just two months — each one ending with officers pulling over an innocent driver. Factoring in 337 alerts which "resulted in the recovery of stolen vehicles," the LAPD's cameras carry an error rate of 32.3 percent, effectively giving officers a one-in-three chance at pulling an innocent person over. "The biggest issue remains this national database at the FBI called NCIC," Flock's CEO Garrett Langley recently told The Drive, complaining about "how archaic its structure is." Flock CEO: There's no feedback loop mechanisms; it's really just a static comma-separated file. We've tried to build around it. We have this concept called "suppression." A local agency — let's take Atlanta, where I live — might see that there's a stolen plate out of California, but it's already been resolved because it's a rental car or a dealer car. They can, in Flock, suppress that: "Never alert us on that for the next year." That's to get around the fact that they can't force another agency to remove it from NCIC. Ideally, the way it would work is if enough agencies — let's call it one, two, or three — flag a tag as no longer valid or a bad entry, it should just get removed. Or at least it should get pushed more aggressively by the FBI... I'm hopeful that they'll see there's an opportunity to make something like NCIC, which is an important tool not just for companies like Flock, but for police departments to work together, start to make some enhancements to modernize what's a central part of our policing system. Later in the interview he says "It's less than one in a million alerts that an officer says, 'I'm not sure if that's right.' Less than one in a million." A recent report from Business Insider shares a worst-case scenario. In the summer of 2024 a Sacramento police officer said Flock's cameras had sent six false alerts for the same vehicle, wrongly saying it had been stolen or used in a felony crime in the nearby suburb of Roseville: Roseville police could see that Flock's software kept confusing the "9" on the man's license plate for an "8." The car owner said he would take off his license plate cover. Soon after, it happened again. It's "easier at this point we have it memorized," a dispatch supervisor in Roseville wrote in an email to a colleague. Flock says that in optimal conditions, its cameras accurately read more than 96% of license plate characters. Hundreds of pages of records from the Roseville Police Department show a different picture. In 2023 and 2024, Flock sent 1,427 alerts to Roseville police, flagging vehicles as stolen or used in a felony after they passed one of the city's Flock cameras. An analysis by the police department found that in 71% of those alerts, Flock's machine-learning software incorrectly read the license plates... The cameras regularly missed vehicles, captured blurry images, misread license plate characters and states, and sent delayed alerts to police about vehicles possibly connected to crimes, the records show... A factor that contributed to the misread problems in Roseville was the "particularly unique deployment" that the city requested, a Flock spokeswoman said. Roseville said it has its cameras configured so that they capture only the backs of vehicles, a setup intended to avoid capturing personally identifiable information like faces. Roseville's setup included older hardware and placement of cameras higher and further from vehicles than the company typically recommends, Flock added... In Toledo, Ohio, driver Brandon Upchurch was mauled by a police dog after a Flock camera misread the "7" on his license plate as a "2." As a result of his injuries, he said, he lost his job and was evicted from his home. He settled a lawsuit against the city and police officer for $35,000. None of the incorrect Flock alerts in Roseville resulted in a traffic stop or arrest, a department spokesman said. Roseville requires police officers to verify that a license plate is stolen or have independent reasonable suspicion of a crime before making a traffic stop... Flock said Roseville's camera performance has significantly improved, which the police department disputed... Flock's cameras also missed vehicles altogether... At one point, Flock's product director for machine learning suggested that officers ask drivers to remove license plate frames that made it "very difficult for the machine vision to tell it is actually a 'E' and not an 'F.'" Roseville told Flock at the time that it wouldn't do so, according to the department spokesman. Flock in 2024 shared an analysis with Roseville's police department, outlining reasons for the misreads. Vehicles far from a camera were sometimes blurry. Plates were cut off by trees or license plate frames. And Flock's software confused similar characters, mistaking an "N" for a "V", or a "1" for a "4...." Roseville isn't the first organization to flag inaccuracies in Flock's technology. In 2021, the research firm IPVM independently tested Flock's license plate readers, concluding that Flock misidentified the state in about one of 10 reads, and that the system regularly misclassified vehicles' type and make. IPVM said that Flock subsequently blocked it from purchasing its cameras for testing. Thanks to long-time Slashdot reader Cognitive Dissident for sharing the article.

Read more of this story at Slashdot.

Microsoft Responds to Outcry After Quietly Installing Beta 'Photos' App on Enterprise Machines

著者: EditorDavid
2026年8月10日 13:34

🤖 AI Summary

Microsoftが企業向けWindows 11 Enterprise版にもベータ版の「Photos」アプリを無断でインストールしたことで、ユーザーからの批判が高まっています。OneDrive Photosは、システム内の写真を自動的に検索し、顔認識機能も提供するなど、個人向けの機能を企業環境に強制的に導入していると指摘されています。

MicrosoftはNeowinに対して、「Photos」アプリの新体験が「過度に広がってしまった」と認めたものの、問題点を改善すると述べています。具体的には、OneDrive Photosを個別にアンインストールできる機能の開発や、企業向けIntuneでの非対応環境での自動削除などが進められる予定です。

一方で、現在はOneDriveアプリ自体をアンインストールするしかなく、ファイルエクスプローラーとの連携やショートカット機能にも影響が出ることも指摘されています。Microsoftは今後、これらの問題点を解決し、ユーザーの使い勝手を向上させる方策を探る予定です。
Microsoft's cloud storage app OneDrive got a new Photos app in the worst possible way, reports the blog Neowin . "The app is reportedly showing up even on Windows 11 Enterprise machines, despite apparently being a beta application aimed at consumer functionality." One admin questioned why a beta app was appearing on an Enterprise SKU in the first place, while another described the situation as yet another consumer-oriented feature being forced onto corporate PCs. Things get even more frustrating for IT departments because there does not appear to be a straightforward Microsoft-provided way to disable the app... Enterprise administrators generally need to know what is being installed on their managed devices, particularly when a software is labeled as beta. Quietly adding another application and leaving admins to clean it up themselves is therefore unlikely to win Microsoft many fans. But there's another problem, according to the blog Windows Latest. "OneDrive Photos automatically scans your system storage for photos," and apparently "doesn't need a Microsoft account to work, as it can also detect your local files." There's also a People section that groups similar faces in your photos. Microsoft asks for permission before turning it on and explicitly warns that facial data could be considered biometric data in some regions. The company says only you can see the grouped faces, that the data isn't shared with third parties, and that you can delete it by disabling the feature. In a statement to Neowin, Microsoft admitted this new photos "experience" they're "incubating" had gone "more broadly than it should have," and then promised that "We're fixing that." The spokesperson also said the Windows Photos app will "always give you the option of local and cloud photos" and, also a choice of whether or not to use it OneDrive." But there's another "awkward catch," notes the blog Digital Trends. "Users currently can't uninstall OneDrive Photos without removing the main OneDrive app too." Because OneDrive Photos is tied to the main OneDrive sync client, Windows 11 doesn't currently offer a separate uninstall option. The only straightforward way to get rid of OneDrive Photos right now is to uninstall OneDrive itself... Removing the main client can also affect its File Explorer integration and shortcuts... Microsoft says this will change. The company is working on controls that will let users remove OneDrive Photos separately from the main OneDrive app. On enterprise PCs managed through Intune, Microsoft says the app will automatically disappear where it isn't supported.

Read more of this story at Slashdot.

Privacy Backlash Explodes Against Meta's Smart Glasses

著者: EditorDavid
2026年8月10日 10:59

🤖 AI Summary

Metaのスマートグラスが70%以上の市場占有率を持つ一方で、プライバシー関連の批判が高まっています。一部の人々はこれらのガラスを使って他人を無断で録画し、SNSに共有しています。特に女性に対して行われているという報告があります。これらの行動により、人々はジムや性行為中でも無防備に撮影される可能性があると警戒しており、Metaはプライバシー関連の懸念に対応するためのアップデートを実施しました。

さらに、SNSでの動画投稿やコメディアンによる批判、「5ポイントカフェ」のようなビジネスからの禁止措置などにより、スマートグラスに対する不安が拡大しています。インスタグラムは、そのようなハラスメント違反の投稿を取り下げています。

プライバシーアプリケーションも人気を得ており、160万ダウンロード以上の利用があります。このアプリ作成者は、「個人のプライバシーを重視しない社会」「私たちは他人を利用するために正当化する」と指摘しています。また、アメリカ市民権連盟はMetaに対して顔認証機能をスマートグラスから削除することを求めていますが、Metaからは「最終決定はまだない」という回答でした。
With nearly 70% of the market, "Meta wants its smart glasses to be a big hit," writes the Los Angeles Times. But after some users found ways to disable the light that warns people they're being filmed, "the high-tech specs have also turned into a liability, as some are calling the gadget 'pervert glasses...'" Some people are using the glasses — which look like a pair of regular spectacles — to record people without their knowledge and publish the videos on social media. The users secretly videotape and share what happens when they try to pick up women. Now, a growing number of people are worried they could be covertly recorded at the gym or even during sex. The backlash has prompted Meta to update its glasses to address privacy concerns, and some places have banned them, adding to the angst surrounding technology that's rapidly evolving... Concern about the glasses has exploded as more videos of interactions with people who don't know they're being recorded go viral on social media. On Instagram, some videos depict people getting approached in malls and grocery stores and on college campuses and sidewalks. While the videos are portrayed as jokes, the people filmed don't appear to know they're being recorded and sometimes seem uncomfortable, telling the strangers to leave them alone or stop harassing them. The outcry has spread beyond social media, with comedian Jimmy Kimmel calling the Meta devices "pervert glasses" on national television and singer Lorde telling concertgoers that smart glasses are "not sexy..." Instagram, which is owned by Meta, has been disabling accounts and taking down some of these pickup or prank videos for violating the platform's rules against harassment and bullying... Businesses are making their own calls about smart glasses. The 5 Point Cafe in Seattle, which banned Google Glass in the past, has banned Meta glasses from its diner and dive bar. "Leave your Meta-SpyBan Display at home, they are officially Ray-Ban-ned from all of our restaurants. We serve privacy, not side-eye surveillance," a 2025 Instagram post from the business states. An Android app that warns people if they're being recorded has roughly 110,000 downloads in the last six months, according to the article. The app's creator says it's a "social problem" that "we don't value privacy, that we feel entitled to use others for our entertainment or our private gain, and technology amplifies that." The American Civil Liberties Union and more than 70 organizations even sent a letter urging Meta to promise they'd leave facial recognition features out of their smart glasses, according to the article. But a Meta spokesperson said "no final decision has been made."

Read more of this story at Slashdot.

AI Reviews Bring 'New Normal' to Linux Release Candidates: Lots of Bug Fixes

著者: EditorDavid
2026年8月10日 09:59

🤖 AI Summary

Linux 7.2-rc7 のリリース候補が発表され、Linus Torvalds は次週にリリースされる予定だと述べました。通常、この時点で多くの問題は解決していると考えられていますが、今回の -rc7 では AI/LLM のレビューエージェントにより、一貫した活発な開発活動が続いています。

多数のバグ修正が Kernel に加えられており、HWMON サブシステムでは重篤なバグがいくつか修正されました。メモリ管理においては、8年間にわたって存在していたキーランス条件による use-after-free バグも解消されました。また Btrfs では、シーメントデータロス対応の固定作業者が復活し、ネットワーク関連では多数の AI パッチが適用されました。

トーリャーズは発表文で、この大量の修正がすべて「新常態」であり、大半は小さな修正であると述べています。少数の大きな修正点としては、s390/zcrypt 修正と btrfs の固定作業者再導入があります。全体的に、ドライバ(GPU、サウンド、ネットワークなど)、ファイルシステム、コアネットワーク、アーキテクチャコードにわたる小さな修正が数多く見られます。

参考: [AIレビューが新しい常態をもたらすLinuxリリース候補7.2-rc7:多くのバグ修正](https://linux.slashdot.org/story/26/08/10/0014253/ai-reviews-bring-new-normal-to-linux-release-candidates-lots-of-bug-fixes)
Linux Torvalds expects Linux 7.2 should be released next weekend "unless something really bad pops up," Torvalds said while announcing today's release candidate. But there's something interesting about Linux 7.2-rc7, writes Phoronix. "By the time the Linux kernel typically hits a -rc7 release things have usually settled quite well. But in today's world of AI/LLM coding/review agents, the kernel activity continues at an all-time high." Tons of bug fixes continued to trickle in across the kernel spectrum for all sorts of issues. The HWMON hardware monitoring subsystem saw several critical and high severity bug fixes, on the memory management side was a nasty race condition leading to a use-after-free in the kernel for the past eight years, Btrfs restored its fixup worker infrastructure to deal with silent data loss, lots of AI patches in the networking realm, and the kernel was patched for the Safe RET Interrupt Vulnerability. Linus Torvalds wrote in the 7.2-rc7 announcement: "Another week, another -rc. I can't say that I'm exactly thrilled about the size of this all, but it is what it is: the new normal with a lot of fixes, many of them due to review by various AI tools. And nothing looks particularly scary per se — it's just that there's a lot here. Most of it is fairly small, although we have a couple of larger diffs: s390/zcrypt fixes stand out in the diffstat, and so does btrfs bringing back the fixup worker infrastructure. And some netfilter ipset fixes. But aside from a few places like that, most of this is just lots of tiny fixes. It's pretty much spread all over — drivers (gpu, sound, networking, you name it), filesystems, core networking, arch code...

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Flock Accused of Reactivating Its Cameras Without Notifying a Town

著者: EditorDavid
2026年8月10日 08:15

🤖 AI Summary

マサチューセッツ州リトルトン市(人口1万141人)の公営カメラシステム「Flock Safety」について、地元紙は会社が5台のカメラを無断で再起動したとして、行政に告訴する計画があることを報じています。

リトルトン市は今年早々にこれらのカメラを一時停止していましたが、再開発された cameras の存在を確認後、市長は法的措置を講じると表明。市議会と協力して道路沿いの6台のカメラを取り除く計画もあるとのことです。

この事件の背景には、昨年リトルトン市が中国の国家関連ハッカーによって約300日間攻撃を受けたという前史があります。さらに、Flockは数10万隻のウーバーやライドシェアド、デリバリー車両に取り付けられたドライブレコーダーを使用して走行した車線上のナンバーをスキャンし、これで運転手たちは移動監視装置として機能するという計画も存在していたことが404メディアによって明らかになっています。
A Massachusetts newspaper reports that officials from the town of Littleton (population: 10,141) "claim that five of Littletonâ(TM)s Flock Safety cameras were switched back on by the company without informing the town..." Littleton had temporarily disabled the cameras earlier this year, according to the article, but upon discovering the cameras were still active, city officials say they directed the Town Counsel "to initiate cancellation of the contract with Flock Safety and directed the Town Administrator to coordinate the removal of the six cameras on public ways" with the Department of Public Works. Ironically, it's the same Massachusetts town that last year was breached by a Chinese-state-sponsored hacking group for over 300 days. Flock has also considered dashcams installed in hundreds of thousands Uber, Lyft, and delivery drivers' vehicles "to scan license plates those drivers travelled passed," reports 404 Media, "essentially turning Uber and Lyft drivers into roaming surveillance vehicles, according to a Flock presentation shared with 404 Media... 404 Media first revealed the intended partnership last August when multiple sources provided information on the plan."

Read more of this story at Slashdot.

California City Declares State of Emergency After Cyberattack

著者: EditorDavid
2026年8月10日 07:15

🤖 AI Summary

サニーストーン市(人口2万9518人)はカリフォルニア州の小さな町で、サイバー攻撃によって情報システムが停止し、911緊急通報などの公衆安全業務が中断されたため、市議会は土曜日に「緊急事態宣言」を発出しました。

午前5時45分頃から始まったマルウェアにより、東ベイ地域の情報技術システムが感染・悪用されました。このサイバーセキュリティ事件は、911通話ルーティングや警察・消防隊の派遣、記録管理など、重要な公衆安全業務に影響を及ぼしました。

「市民への直接的な危険はありません」、「すべての緊急事態サービスは継続しています」と市側は述べました。市のコンピュータネットワークは「脅威を制限し、連邦機関による捜査のための証拠を保存する」ために停止されました。

現在、FBIや国土安全保障局、カリフォルニア州緊急事態管理担当省と協力して、サービスを維持しながら事件を調査し、システムを復旧しているとしています。前半にこの地域でサイバー攻撃が起きた例があり、 Foster City(3月のランサムウェア攻撃により約1週間多くのサービスが停止)、Pittsburg(2月のフィッシング攻撃で約100万ドルの損失)などです。
NBC Bay Area brings news from the small idyllic California town of Suisun City (population: 29,518). The city council "declared a state of emergency Saturday after a cyberattack that shut down computer systems including 911 public safety operations." "Malicious software infected and compromised" the East Bay community's information technology systems beginning about 5:45 a.m. Friday, the city said on social media. "The cybersecurity incident hit critical public safety operations, including 911 routing, police and fire dispatch, records and city services," the city said. "There is no imminent threat to the public," the city said. "All public safety services remain active." The city shut down its computer network "to contain the threat and preserve evidence for a federal investigation," it said... Suisun City dispatchers were taking calls for service through the Solano County dispatch center. Suisun City police officers and firefighters continued responding to calls for service, the city said, but online city services and internal operations were unavailable. On Facebook the city said it was "working alongside federal, state and regional agencies, including the FBI, Department of Homeland Security and California Office of Emergency Services to maintain emergency services, investigate the incident and restore systems." But Bay Area PBS station KQED notes "They're only the latest local government in the region to be hit by a cyberattack." Earlier this year, Foster City and Pittsburg experienced other cyberattacks that impacted services in their own jurisdictions. Foster City declared a state of emergency after a March ransomware incident that shut down many services for more than a week. Pittsburg lost almost $1 million to a February phishing attack, though over half of it was recovered.

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AI-Powered Browser Just Generates Every Website From Scratch

著者: EditorDavid
2026年8月10日 06:15

🤖 AI Summary

Gemという新しいブラウザが紹介されました。これはGoogle DeepMindのエンジニア、Vidy Thatteによって作られ、URLを入力するとGoogleのGemini 3.5 Flash Liteモデルに送られて、ウェブサイトが即座に生成されます。リアルなアドレスはそのモデルによる独自の解釈が表示され、存在しないアドレスには全く新しいウェブサイトが作られます。

This browserは実際のインターネットを閲覧しているのではなく、モデルが即興で生成するウェブサイトを閲覧しています。GemはGoogle AI Studioから無料で取得できるGemini APIキーを使用して動作します。その制限に達すると、アカウントへの請求が必要になります。

実際のウェブサイトと全く異なる見た目や機能を持つページが生成され、ユーザーはデジタルリミックスオプションを選べます(ダークモード、読書モードなど)。存在しないアドレスを入力した場合でも、モデルはそのアドレスに対応する独自のウェブサイトを作成します。

Gemは今なおベータ段階であり、完全な機能には至っていませんが、将来の可能性に注目が集まっています。
XDA Developers reports: On July 22, a Google DeepMind engineer, Vidy Thatte, shared a snippet of a browser he built that "treats every URL as a prompt and generates a site from scratch" on his X account. Just a few days later, he shared a TestFlight link to let iPhone users try it for themselves. The browser he launched is called Gem, and it's a browser that doesn't really...browse. Instead of fetching a webpage from a server the way Chrome or Safari would, Gem hands whatever URL you type over to Google's Gemini 3.5 Flash Lite model and asks it to generate a webpage on the spot. If you enter a real address, it builds its own interpretation of that site rather than loading the actual thing. If you enter an address that doesn't exist, Gemini simply invents a website to fill the gap. In other words, you're not visiting the internet so much as browsing one the model dreams up as you go... Thatte's reasoning was that with a model as fast and cheap as Gemini 3.5 Flash Lite, there's almost no practical difference anymore between loading a website and generating a brand-new one on the fly... Given that this tool is powered by Gemini 3.5 Flash Lite and it's just a side project rather than a full-fledged tool, it doesn't come with Gemini access baked in. Gem requires you to bring your own Gemini API key to get it working. Every URL you enter fires off a request to the model, so Gem needs a key linked to your Google account to actually generate anything, with the usage billed to you. You can grab a key for free from Google AI Studio, paste it into Gem's settings, and you're ready to start typing URLs. While you can get started for free, I ran into the limits within two minutes of playing around. So, I did need to enable billing on my API key and decided to load $10 into it. While the blogger's own site seemed to only get the Gemini logo, tapping it revealed nearly two dozen remixing options. (Dark mode, Reader, Neubrutalist, Broadsheet, Blueprint, Comic book, Punk zine, Notebook, Chalkboard, Receipt, Teletext, System 7, Wes Anderson, Cyber neon, Clay, Frosted, Geocities, Matrix, Museum, Windows 95, Terminal, Vaporwave, and Hide images...) "The frontend morphed before my eyes. Every new edit took practically no time to load, and within a second or two, the same XDA articles would reappear wearing a completely different skin..." For another site, it kept the article headlines, but then rewrote all the text! And after entering an address they knew didn't exist — their own name — in two seconds the browser whipped up a slick portfolio "genuinely been better than some of what those tools produced with far more time and context to work with." But its link to a LinkedIn profile led to a lookalike page, because Gem "had simply generated its own version of it, complete with a made-up follower number and details I never wrote...."

Read more of this story at Slashdot.

Ask Slashdot: What are the Costs of Switching Between Windows, MacOS, and Chrome?

著者: EditorDavid
2026年8月10日 05:15

🤖 AI Summary

本文は、Windows、MacOS、およびChromeへの切り替えのコストについて討議している。theodp が指摘するように、新しい環境に移行することでより productivity を高めることができるという主張は、多くの場合、直感的な判断や既存の智慧に基づいている。

企業が新たなコンピューティング環境を導入することで納期遅延やコスト増加を引き起こすことは理解できるが、学校children の学習能力に影響を与えるような切り替えはどのように評価すべきかという点については懸念が存在する。特定の Macbook Neo への移行など、25,000人の学生が Windows から Mac に移行することによる潜在的な結果や、教室での Minecraft ユーザインターフェースを理解する必要性増大なども検討すべき事項である。

theodp は、「新プラットフォームから最終的に恩恵を受ける学生や学校があるとしても、切り替え期間中の学習損失についてどのように考えているか」そして「財務と教育面での ROI と回収期がどうなるのか」と問いかけている。この話題について自らの経験や意見を共有するよう呼び掛けられている。

重要なのは、Windows、MacOS、Chrome の切り替えのコストは、単にテクノロジー変更だけでなく、学習中断による知識損失なども考慮に入れるべきであるという点だ。
UI changes, lost productivity, untransferrable knowledge... Long-time Slashdot reader theodp notes the folly of switching to an unfamiliar new environment to be "more productive"... Champions of the switch often insist workers will be able to hit the ground running and get the same or even more work done from the get-go in the new unfamiliar environment because it's 'more productive', a conclusion often shaped by conventional wisdom or their 'gut' feeling. Decision makers may also mistake their own 'light-user experience' for universal experience and believe all platforms are fungible. And while it's one thing for a business to delay their delivery dates and increase costs of by introducing a switch in computing environments that's of unquantified and possibly dubious value, how about when a switch in computing environments is made that affects schoolchildren's ability to learn for a period of time? While a MacBook Neo is indeed cute, what might be the possible consequences of a decision to move 25,000 students off Windows and onto MacBook Neos...? Or even the impact on a single kid who moves from a MacBook school to a Windows or Chrome school (or whose home computing environment isn't aligned with their school). Or students whose teachers decide learning in their classrooms should now additionally require an understanding of the Minecraft computing platform/UI (used in over 40,000 school systems.). Learning Management Systems and now various AI Edtech tools used by schoolkids are also subject to change. "Even if students and schools eventually benefit from a new platform, one wonders how much learning is lost during the switch," theodp asks, "and what the financial and educational ROI and payback period look like." Are there bigger problems than we realize? Share your own thoughts and experiences in the comments. What are the costs of switching between Windows, MacOS, and Chrome?

Read more of this story at Slashdot.

Slashdot Reader Builds 'Spaced Linux', a New Devuan-Based, User-Friendly Desktop Distro

著者: EditorDavid
2026年8月10日 02:41

🤖 AI Summary

タイトル:Slashdotリーダーが「Spaced Linux」という新しいデスクトップディストロを開発

概要:
- crhylove(Slashdotリーダー#205,956)は30年以上のLinux ITアドミニストレーターとしての経験を持つ。
- 新しいディストロ「Spaced Linux」を制作しており、CompizデスクトップやRolling Devuan Ceresバックエンドが特徴で、Flatpakを使用して依存関係の問題を避ける。
- ユーザーフレンドリーなテーマも提供しており、WindowsアプリケーションもWineを用いて実行できる。NVIDIAは特に良好に動作している。
- 今後、ボイスコマンド機能を追加する予定で、すでに「非常に使いやすく、効率的、高速、信頼性が高い」と評価されている。

詳細:
https://linux.slashdot.org/story/26/08/09/0226209/slashdot-reader-builds-spaced-linux-a-new-devuan-based-user-friendly-desktop-distro

この記事によると、crhyloveは30年間のLinux IT経験を持つ。新しいディストロ「Spaced Linux」はCompizデスクトップとRolling Devuan Ceresバックエンドを採用しており、Flatpakを使用することで依存関係の問題を回避している。また、ユーザーに馴染みやすいテーマやWindowsアプリケーションの実行も可能で、特にNVIDIAは良好に動作しているという。今後、ボイスコマンド機能を追加する予定だ。
"I've been a Linux IT administrator for 30 years now," says crhylove (Slashdot reader #205,956), in a new video on his YouTube channel. "I used to be a data center architect, at one point I was the IT director for 13 school districts... I just haven't been happy overall with all the other operating systems out there... " I've been working really diligently for the last few weeks on a new distro called Spaced Linux that is exactly what I want to use. It's heavily focused on the [zoom-friendly 3D] Compiz desktop, very efficient using the rolling Devuan Ceres backend, and avoids dependency hell by promoting mostly Flatpak usage. It's still early, but it's already working great for me, it's been my daily driver for a few weeks now. There's also user-friendly themes — everything from Linux, Android, GeoWorks, and Mac OS X to Windows 11, Windows XP, and even Windows 3.11 (dark or light theme). And you can also run Windows apps under Wine. "And let me tell you, Nvidia runs perfectly on here now..." he adds in the video. "It just works really, really well out of the box." He's now working on voice-command features, bur argues that Spaced Linux "is already extremely usable, extremely efficient, extremely fast, and extremely reliable.... And it's only going to get better and better."

Read more of this story at Slashdot.

OpenAI Announces It's Enhancing Security Controls, Pausing Some Work for New AI Model Astra

著者: EditorDavid
2026年8月10日 01:41

🤖 AI Summary

OpenAIは、セキュリティ上の懸念から新AIモデル「Astra」の開発を一時停止すると発表しました。同社はAstraが過去にAIエージェントが不適切に行動した事件に関与していないと強調しています。これにより、人工知能(AI)モデルの進歩と人間による制御の限界に対する懸念が高まっています。

OpenAIはより厳格なセキュリティ対策を導入し、包括的なモニタリングシステムを設置することで、Astraに関する内部活動の一時停止を決定しました。これらの対策には、孤立したテスト環境の実装やネットワーク接続・ツールへのアクセス制限などが含まれます。また、モデルの重み保護と暗号化も強化し、高リスク行動を監視して中断する機能も追加しています。

OpenAIは、「この潜在的な能力変化について、パブリックとセキュリティコミュニティに透明性を持ち寄る重要性」についてブログで述べています。同社は、モデルが高度なサイバーセキュリティの閾値を超えた可能性があるため、より堅固な保護機能を確立する必要があると主張しています。

これらの措置は政府機関やAI安全組織との協力を通じて検証される予定です。OpenAIは、「先端能力を持つモデルが防御者に脆弱性の早期発見と対処を支援する役割を果たすべきだ」と述べています。同社は、人類全体のためにこれらの先端技術が適切かつ広く利用されるよう、政府やセーフティ研究所、市民社会との協力を重視しています。
OpenAI announced Friday it's pausing work on its Astra AI model because of security concerns. The Guardian reports: The company had evaluated the agent, Astra, and found "significant advancements in agentic coding and cybersecurity", which had moved to a "critical" threshold... OpenAI stated that the model was not involved in an incident in which one of its AI agents went rogue during a test, accessed the open web and hacked a startup, Hugging Face... The reports have increased concerns about advancements in AI models and humans' ability to control them. Still, critics of the AI industry have warned that such disclosures from OpenAI and its competitors Anthropic and Meta could be designed to generate hype about the technology's power and thus spur additional interest from investors. To prevent potential rogue behavior from AI agents, OpenAI is "implementing stricter security controls for higher-capability models and associated activities, including isolated testing environments, restricted network and tool access", the company's blogpost stated. It will also install "enhanced model weight protections and encryption, additional monitoring and detection capabilities". The company will pause internal activities involving Astra that do not meet these new requirements. "We believe it's important to be transparent with the public and the safety and security communities about this potential shift in capabilities..." OpenAI wrote in a blog post titled "Responding to the next frontier of critical cyber capabilities." Under our Preparedness Framework, a model reaches the Critical cybersecurity threshold if it can identify and develop functional zero-day exploits of all severity levels in many hardened real-world critical systems without human intervention, or can devise and execute end-to-end novel strategies for cyberattacks against hardened targets given only a high level desired goal. While we continue to benchmark and assess this model, our preliminary evaluations indicate strong enough performance that we cannot rule out Critical capability level at this time... Accordingly, we have scaled up robustness testing of our safeguards and security controls so that they are appropriate for a deployment of these capabilities... - We are implementing stricter security controls for higher-capability models and associated activities, including isolated testing environments, restricted network and tool access, enhanced model weight protections and encryption, additional monitoring and detection capabilities, and sandboxed execution. - We are pausing internal activities involving Astra that do not yet meet these strengthened security control requirements. - We have implemented universal monitoring for risky actions and misalignment across all agentic applications of Astra, including training and evaluation. Monitors evaluate the model's Chain of Thought and trigger a security response to review and interrupt high risk activity. - We will work with relevant government agencies and select AI safety organizations to test the capabilities for this model... We believe advanced cyber-capable models should help defenders identify and address vulnerabilities before attackers do. We're committed to working alongside governments, safety institutes, and civil society to ensure that the frontier capabilities of models like Astra, and those that follow, are deployed responsibly and broadly for the benefit of all humanity.

Read more of this story at Slashdot.

Brain Activity Reveals the Melodies That People Imagine

著者: EditorDavid
2026年8月10日 00:34

🤖 AI Summary

研究者たちは、脳活動が想像された音楽のメロディーにおける音階を示すと報告しています(Medical Express)。

研究に参加した10人の癫癇患者は、脳表面に電極を取り付けられて臨床モニタリングを行っていました。最初の数小節を静かに聴きながら、その後のメロディーを想像し、思い浮かんだメロディーを囁いて歌うという手順で実験が行われました。患者の脳活動には、想像されたメロディーにおける相対的な音階に関する情報が含まれており、時間とともに音階予測を組み合わせることで、想像された曲の構造に沿ったメロディー変化を再現することができました。

「作成したモデルは相対的な音階クラス(ド、レ、ミなど)ではなく、正確な絶対的な音階ではなく解読します」と、ソウル国立大学の共同研究責任者ジェイ・クワンは述べています。「これは有用であり、人々は同じメロディーが異なるキーで演奏されたとしても、音符間の関係性からメロディーを認識することが多いからです。」

この研究成果は Slashdot でさらに詳しく紹介されています。
Researchers believe they've found evidence that brain signals reveal the pitches of notes in imagined musical melodies, reports Medical Express: Study participants were 10 epilepsy patients with electrodes on the surfaces of their brains for clinical monitoring. Participants quietly listened to the first bars of children's tunes, then imagined the melodies of subsequent bars before humming their imagined melodies. Brain activity from the patients carried information about relative pitches within the imagined melodies. Combining note-level pitch predictions over time allowed the research team to recreate melodic changes that reflected the structure of the imagined songs... "The model we created decodes relative pitch classes — such as do, re, mi, fa, sol, and la — rather than exact, absolute pitches," [said tudy co-lead Jii Kwon of Seoul National University]. "This is useful because people often recognize melodies by the relationships between notes, even when the same melody is played in a different key."

Read more of this story at Slashdot.

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