リーディングビュー

'Software Isn't Dead, But Its Cosy Business Model Might Be'

✇Slashdot
著者: msmash

🤖 AI Summary

**要点まとめ(日本語)**

- ソフトウェア業界は長年、従業員1人あたりの固定料金(シートベース)で企業に課金してきたが、AIエージェントは「座る」必要がなくライセンスも不要なため、このモデルに根本的な問題が生じている。
- 自律エージェントが人間の業務を代替するにつれ、従来の予測しやすいサブスクリプション収益は、**使用量ベース**や**ハイブリッド**な課金形態へシフトしている。
- Snowflake と Databricks(時価総額合計約1,340億ドル)は既に使用量課金を採用。
- Salesforce は当初、顧客対応ボット「Agentforce」を会話1回あたり2ドルで販売したが、顧客の反発を受け、アクションベースの価格設定や前払いクレジット、固定料金へと変更。
- ServiceNow の財務責任者 Amit Zavery は、一部顧客は完全な従量課金にまだ準備ができていないと指摘。
- Goldman Sachs の予測では、米国のソフトウェア支出は 2037 年までに現在の約3倍となり **2.8 兆ドル**に達する見込み。自動化が進むことで IT 予算と人件費の境界が曖昧になるが、収益は従来の「毎月一定」の形ではなくなる。
- つまり、AI エージェントの普及に伴い、ソフトウェア企業は「座席」課金から「消費」課金への転換を迫られ、投資家やプライベートエクイティが慣れ親しんだ安定的な収益モデルは変化することになる。
The software industry's decades-old habit of charging companies a flat fee for every employee who uses a product is running into a fundamental problem: AI agents don't sit in chairs, and they don't need licences. As autonomous agents take on tasks that human workers once handled, the per-seat pricing model that made SaaS revenue so predictable is giving way to consumption-based and hybrid alternatives. Snowflake and Databricks (valued at $134 billion) already charge based on usage. Salesforce initially priced its Agentforce customer relations bot at $2 per conversation but faced customer pushback and now offers action-based pricing, upfront credits and fixed fees. ServiceNow's finance chief Amit Zavery said last month that some customers aren't ready for purely consumption-based models. Goldman Sachs estimates US software spending will nearly triple to $2.8 trillion by 2037 as automated tasks blur the boundary between IT and wage budgets, but that money will no longer arrive in the neat recurring instalments that investors and private equity firms have come to expect.

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  •  

Valve's Steam Deck OLED Will Be 'Intermittently' Out of Stock Because of the RAM Crisis

✇Slashdot
著者: msmash

🤖 AI Summary

**要点まとめ(日本語)**

- **在庫不安定化の原因**
ValveはSteam Deck OLEDの公式サイトを更新し、**「メモリとストレージの不足により、一部地域で在庫が断続的に欠品する」**と明記した。

- **現在の在庫状況**
米国を含む複数の地域で数日間在庫切れが続いており、今回の告知でその理由が判明した。

- **関連ハードウェアへの影響**
同様のメモリ・ストレージ不足により、**Steam Machine、Steam Frame、Steam Controller** の出荷予定(2026年初頭)も延期された。

- **Valveの今後の方針**
- 具体的な価格設定と発売時期を確定させるため、慎重に計画を進めている。
- 新ハードウェアの発売は**2026年上半期**を目指し、できるだけ早く計画を固める意向。

- **結論**
メモリとストレージの供給不足が原因で、Steam Deck OLEDは一部地域で断続的に在庫切れになる可能性が高く、Valveは今後の製品リリース全般についても慎重にスケジュールを調整している。
Valve has updated the Steam Deck website to say that the Steam Deck OLED may be out of stock "intermittently in some regions due to memory and storage shortages." From a report: The PC gaming handheld has been out of stock in the US and other parts of the world for a few days, and thanks to this update, we now know why. The update comes shortly after Valve delayed the Steam Machine, Steam Frame, and Steam Controller from a planned shipping window of early 2026 because of the memory and storage crunch. "We have work to do to land on concrete pricing and launch dates that we can confidently announce, being mindful of how quickly the circumstances around both of those things can change," Valve said in a post about that announcement from earlier this month. Its goal is to launch that new hardware sometime in the first half of 2026, and the company is working to finalize its plans "as soon as possible."

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Sony Tech Can Identify Original Music in AI-Generated Songs

✇Slashdot
著者: msmash

🤖 AI Summary

**要約(日本語)**

ソニーグループは、AI が生成した楽曲に使用された元の音楽を特定できる技術を開発した。このシステムは、学習に利用された楽曲を分析し、例えば「ビートルズが 30%、クイーンが 10%」といったように、各原曲の寄与度を数値化できる。
AI 開発者が協力すれば、ソニーは開発者のベースモデルに直接接続してデータを取得し、協力が得られない場合は生成楽曲と既存楽曲を比較して推定する。

この技術により、AI 開発者が著作権で保護された楽曲を無断で使用した場合でも、作曲者がその使用割合に応じた補償を請求できるようになる。ソニーは、AI 音楽から得られる収益を原作者へ公平に配分する仕組みの構築を目指している。
Sony Group has developed a technology that can identify the underlying music used in tunes generated by AI, making it possible for songwriters to seek compensation from AI developers if their music was used. From a report: Sony Group's technology analyzes which musicians' songs were used in learning and generating music. It can quantify the contribution of each original work, such as "30% of the music used by the Beatles and 10% by Queen," for example. If the AI developer agrees to cooperate for the analysis, Sony Group will obtain data by connecting to the developer's base model system. When cooperation is not attainable, the technology estimates the original work by comparing AI-generated music with existing music. The AI boom has sparked numerous cases in which AI developers are accused of using copyrighted music, video and writing without permission to train machines. In the music industry, AI-generated songs using the voices of well-known singers have been distributed online. The Japanese company thinks the technology will help create a system that distributes revenue generated by AI music to original songwriters based on their contribution.

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EU Parliament Blocks AI Features Over Cyber, Privacy Fears

✇Slashdot
著者: msmash

🤖 AI Summary

欧州議会は、議員とスタッフが使用する社用タブレットの AI 機能を一時的に無効化しました。内部メール(Politico が入手)によると、IT 部門が「データの安全性を保証できない」ことを理由に、組み込み AI がクラウドへデータを送信する可能性があると判断したためです。特に、ローカルで処理できるはずの作業をクラウドサービスに委ねることで、利用者の情報が外部プロバイダーに漏れるリスクが指摘されています。機能は今後も進化し、対応デバイスが増える見込みですが、データ共有の範囲が明確になるまで安全策として無効化されたとのことです。要点は以下の通りです。

- EU議会は社用タブレットの AI 機能を停止
- 理由はサイバーセキュリティと個人情報保護への懸念
- AI がクラウドへデータを送信し、セキュリティ保証ができない
- データ共有の範囲が明確になるまで「安全策」として無効化を継続

この措置は、欧州議会がデジタルツールの導入に際してプライバシーと安全性を最優先していることを示しています。
An anonymous reader shares a report: The European Parliament has disabled AI features on the work devices of lawmakers and their staff over cybersecurity and data protection concerns, according to an internal email seen by POLITICO. The chamber emailed its members on Monday to say it had disabled "built-in artificial intelligence features" on corporate tablets after its IT department assessed it couldn't guarantee the security of the tools' data. "Some of these features use cloud services to carry out tasks that could be handled locally, sending data off the device," the Parliament's e-MEP tech support desk said in the email. "As these features continue to evolve and become available on more devices, the full extent of data shared with service providers is still being assessed. Until this is fully clarified, it is considered safer to keep such features disabled."

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  •  

Secondhand Laptop Market Goes 'Mainstream' Amid Memory Crunch

✇Slashdot
著者: msmash

🤖 AI Summary

**要約(日本語)**

- **リファービッシュ(中古)PCの需要増加**
- メモリチップなど主要部品の不足で新品PCの価格が高騰する中、リファービッシュPCの販売が伸びている。
- ヨーロッパの主要5カ国(イタリア、英国、ドイツ、スペイン、フランス)で、2023年第四四半期に流通経由の中古PC販売が前年同期比で7%増加した。

- **価格帯別の購買動向**
- **低価格帯($235〜$355)** が全体の約40%を占め、コスト重視のユーザーが主な購買層。
- **中価格帯($355〜$475)** も拡大傾向にあり、シェアは前年の15%から23%へ上昇。これは、多少高くても性能や仕様が向上した製品を求める層が増えていることを示す。

- **主な要因**
- 部品供給不足(特にメモリ)が新品の価格を押し上げ、手頃な価格で手に入る中古市場が「主流」化。
- 手頃さと必要なスペックのバランスを取れる中古ノートPCが、予算に敏感な個人・中小企業にとって魅力的な選択肢となっている。

**結論**
部品不足による新品価格の上昇が背景にあり、欧州ではリファービッシュノートPCがコストパフォーマンスを求める消費者層に広く受け入れられ、市場シェアが拡大している。特に低価格帯が最大の需要を占めつつ、中価格帯へのシフトも見られ、今後も中古PC市場の成長が期待される。
Sales of refurbished PCs are on the up amid shortages of key components, including memory chips, that are making brand new devices more expensive. From a report: Stats compiled by market watcher Context show sales of refurbished PCs via distribution climbed 7 percent in calendar Q4 across five of the biggest European markets -- Italy, the UK, Germany, Spain, and France. Affordability is the primary driver in the secondhand segment, the analyst says, with around 40 percent of sales driven by budget-conscious users shopping in the $235 to $355 price band for laptops. The $355 to $475 tier is also expanding -- representing 23 percent of the refurbished market, up from 15 percent a year earlier -- indicating some buyers are prepared to spend a bit more for improved specifications.

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The Music Industry Enters Its Less-Is-More Era

✇Slashdot
著者: msmash

🤖 AI Summary

音楽業界は、膨大な楽曲カタログが逆に負担となりつつある。フランスのストリーミングサービスDeezerだけで、1日あたり6万曲(全体の約39%)が完全AI生成の楽曲で、2025年だけで5,100万曲が新規追加され、合計は2億5,300万曲に達した。Spotifyはロイヤリティ支払い対象を「過去12か月で1,000回以上再生された曲」に限定し、Luminateの調査では2025年の楽曲の88%が1,000回以下の再生にとどまっている。さらに流通面でも変化が起きており、ユニバーサル・ミュージックはDIY配信業者CD Babyを傘下に持つDowntown Musicの買収を模索、TuneCoreのトップが退任、DistroKidは売却検討中という状況だ。要するに、楽曲の「量」よりも「質」と再生数が重要視される「少ない方が良い」時代へ移行している。
The music industry's long romance with an ever-expanding catalog of songs appears to be souring, as streaming platforms and rights holders confront a daily deluge that now includes 60,000 wholly AI-generated tracks uploaded to Deezer alone -- roughly 39% of the French service's daily intake, a statistic the company shared during Grammys week last month. Streaming services now host 253 million songs, according to Luminate's most recent annual report, after adding 51 million tracks over the course of 2025 at an average pace of 106,000 uploads a day. Spotify has already responded by requiring songs to hit at least 1,000 plays in the previous 12 months to qualify for royalties, and Luminate reported that 88% of tracks received 1,000 or fewer plays in 2025. The distribution layer is in flux too: Universal Music Group is trying to acquire Downtown Music, owner of DIY distributor CD Baby, TuneCore's head recently stepped down without a planned replacement, and DistroKid is reportedly up for sale.

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Samsung Ad Confirms Rumors of a Useful S26 'Privacy Display'

✇Slashdot
著者: msmash

🤖 AI Summary

サムスンは、次期 Galaxy S26 に「Zero‑peeking privacy」機能を搭載することを事実上公表しました。広告で示されたこのトグルをオンにすると、画面上の情報が肩越しに見えると暗くなるため、他人に覗き見されにくくなります。採用されるのは、サムスンディスプレイが MWC 2024 で発表した Flex Magic Pixel OLED パネルで、ピクセル単位で視野角を制御し、AI により銀行アプリやメッセージングアプリの機密情報だけを選択的に非表示にできます。正式発表は 2 月 25日の Unpacked イベントで行われる予定です。
Samsung has all but confirmed that its upcoming Galaxy S26 will feature a built-in privacy display, releasing an ad that demonstrates a "Zero-peeking privacy" toggle capable of blacking out on-screen content for anyone peering over the user's shoulder. The underlying technology is reportedly Samsung Display's Flex Magic Pixel OLED panel, first shown at MWC 2024, which adjusts viewing angles on a pixel-by-pixel basis -- and leaker Ice Universe has shared a video of the feature selectively hiding content in banking and messaging apps using AI. Samsung's Unpacked event is scheduled for February 25th.

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Western Digital is Sold Out of Hard Drives for 2026

✇Slashdot
著者: msmash

🤖 AI Summary

Western Digital(WD)の2026年分のハードディスク製造キャパシティはすべて予約済みであることが、同社の第2四半期決算説明会でCEOのアーヴィング・タン氏により明らかになりました。これは、AIインフラ構築に向けてハイパースケーラーがストレージ供給を積極的に確保していることを示す象徴的な事例です。WDは上位7社からの確定受注を得ており、2027年・2028年まで続く長期契約も締結済みで、エクサバイト規模の容量と価格が固定されています。同社の売上構成は大きく変化し、クラウド関連の売上が全体の89%を占めるのに対し、コンシューマ向けはわずか5%に減少しました。要するに、WDは従来の個人向け市場からクラウド・AI向け大口顧客へのシフトを加速させていると言えます。
Western Digital's entire hard drive manufacturing capacity for calendar year 2026 is now fully spoken for, CEO Irving Tan disclosed during the company's second-quarter earnings call, a stark sign of how aggressively hyperscalers are locking down storage supply to feed their AI infrastructure buildouts. The company has firm purchase orders from its top seven customers and has signed long-term agreements stretching into 2027 and 2028 that cover both exabyte volumes and pricing. Cloud revenue now accounts for 89% of Western Digital's total, according to the company's VP of Investor Relations, while consumer revenue has shrunk to just 5%.

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Anthropic's CEO Says AI and Software Engineers Are in 'Centaur Phase' - But It Won't Last Long

✇Slashdot
著者: msmash

🤖 AI Summary

AnthropicのCEOダリオ・アモデイは、現在のソフトウェア開発は「ケンタウロス期」――人間とAIが協働すると単独よりも高性能になる段階にあると指摘した。これは、15〜20年前にチェスで人間がAIの手をチェックすることで人間・AIいずれよりも強くなった例に似ているが、やがてAI単独が全てを上回ったように、ソフトウェアエンジニアリングでも同様の転換がすぐに訪れると予測している。特に新人やエントリーレベルのホワイトカラー職は、数年(低一桁年)で大きく置き換えられる可能性が高いと警告した。
Human software engineers and AI are currently in a "centaur phase" -- a reference to the mythical half-human, half-horse creature, where the combination outperforms either working alone -- but the window may be "very brief," Anthropic CEO Dario Amodei said on a podcast. He drew on chess as precedent: 15 to 20 years ago, a human checking AI's moves could beat a standalone AI or human, but machines have since surpassed that arrangement entirely. Amodei said the same transition would play out in software engineering, and warned that entry-level white-collar disruption is "happening over low single-digit numbers of years."

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India's Toxic Air Crisis Is Reaching a Breaking Point

✇Slashdot
著者: msmash

🤖 AI Summary

**インドの深刻な大気汚染危機が抗議運動へと拡大**

- **危険レベルの大気汚染**
- デリーのAQIは12月が平均349、1月が307と米EPAが「危険」と分類する数値。
- 300万人以上が呼吸器疾患に苦しむ長期のスモッグシーズンが続く。

- **市民の抗議行動**
- 11月9日、インド門前に数百人が政府の対策を求めて集会。
- その後のデモは警察による逮捕や暴力沙汰に発展。

- **政府の対策は形だけ**
- 「スモッグガン」や「スモッグタワー」の設置、10月の雲播種実験は効果がなく、科学者からは無効と評価。
- 環境大臣は議会で「汚染と肺疾患の因果関係は確証がない」と主張し、医師らが強く反論。
- 最新予算で汚染防止対策費を16%削減。

- **健康・経済への影響**
- 2019年だけで約170万人の死亡が大気汚染に起因(Lancet)。
- 2023年の世界銀行報告では、汚染が年平均GDP成長率を0.56ポイント減少させていると推計。

**要点**:インドの首都圏で危険な大気汚染が続き、30万人以上が健康被害を受けている中、政府の形骸的な対策に対し市民が抗議行動を起こしている。実効性のない施策と予算削減が続くことで、健康被害は拡大し、経済成長にもマイナス影響を与えている。今後の実質的な環境政策の転換が求められる。
New Delhi's air quality index averaged 349 in December and 307 in January -- levels the U.S. Environmental Protection Agency classifies as hazardous -- and the months-long smog season that forces more than 30 million residents to endure respiratory illness has this year sparked something new: public protest. Hundreds of demonstrators gathered at India Gate on November 9 to demand government action; police detained more than a dozen people, and a follow-up protest later that month turned violent. The government's response has been largely cosmetic. Authorities deployed truck-mounted "smog guns" and "smog towers" that scientists widely regard as ineffective, and a cloud seeding trial in October failed outright. A senior environment minister told Parliament in December that no conclusive data linked pollution to lung disease -- a claim doctors sharply disputed. The government cut pollution control spending by 16% in the latest federal budget. Almost 1.7 million deaths were attributable to air pollution in India in 2019, according to the Lancet. A 2023 World Bank report estimated the crisis shaves 0.56 percentage point off annual GDP growth.

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Instagram Boss Says 16 Hours of Daily Use Is Not Addiction

✇Slashdot
著者: msmash

🤖 AI Summary

Instagramの責任者アダム・モセリ氏は、ロサンゼルスの裁判で、ティーンエイジャーが1日で合計16時間利用したケースを「問題的な利用」ではあるが「依存」とは呼べないと証言しました。8年間同プラットフォームを率いてきた同氏は、今回初めて証言台に立ち、若年層を保護するためにできる限りの対策は必要だと認めつつ、「どの程度の利用が過剰かは個人差がある」と主張しました。原告側のK.G.M.はInstagramでのいじめを300件以上報告しており、モセリ氏はその事実を把握していなかったと述べました。Meta内部調査(対象27万9千人)では、過去1週間で60%がいじめを経験していることが明らかになっています。要点は、長時間の利用は問題と認められるものの、依存症と断定する基準は明確でなく、プラットフォーム側の保護責任と利用者個人の判断が議論の焦点となっている点です。
Instagram head Adam Mosseri told a Los Angeles courtroom last week that a teenager's 16-hour single-day session on the platform was "problematic use" but not an addiction, a distinction he drew repeatedly during testimony in a landmark trial over social media's harm to minors. Mosseri, who has led Instagram for eight years, is the first high-profile tech executive to take the stand. He agreed the platform should do everything in its power to protect young users but said how much use was too much was "a personal thing." The lead plaintiff, identified as K.G.M., reported bullying on Instagram more than 300 times; Mosseri said he had not known. An internal Meta survey of 269,000 users found 60% had experienced bullying in the previous week.

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KPMG Partner Fined Over Using AI To Pass AI Test

✇Slashdot
著者: msmash

🤖 AI Summary

**KPMGオーストラリア、AIテスト不正でパートナーに罰金 7,000ドル**

- KPMGオーストラリアのパートナーが、社内AI活用研修のテストでAIツールを使って回答を生成し、カンニングしたことが判明。
- 同パートナーは研修資料をAIプラットフォームにアップロードし、質問への回答を自動生成させた後、テストを受け直すよう命じられた。
- その結果、社内規定に基づき7,000豪ドル(約7,000米ドル)の罰金が科された。
- 今会計年度だけで、社内試験でAIを不正利用した従業員は20人以上が摘発されている。
- KPMGは「AIの急速な普及に伴い、社内研修やテストでのAI使用に関する方針策定が困難」とし、全社的にAI利用ルールの整備と遵守を求めている。

この事例は、プロフェッショナルサービス業界全体で、AIを利用した不正行為やクライアント作業への影響を巡る課題が顕在化していることを示している。
A partner at KPMG Australia has been fined $7,000 by the Big Four firm after using AI tools to cheat on an internal training course about using AI. From a report: The unnamed partner was forced to redo the test after uploading training materials into an AI platform to help answer questions on the use of the fast-evolving technology. More than two dozen staff have been caught over this financial year using AI tools for internal exams, according to KPMG. The incident is the latest example of a professional services company struggling with staff using artificial intelligence to cheat on exams or when producing work for clients. "Like most organisations, we have been grappling with the role and use of AI as it relates to internal training and testing," said Andrew Yates, chief executive of KPMG Australia. "It's a very hard thing to get on top of given how quickly society has embraced it."

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Ireland Launches World's First Permanent Basic Income Scheme For Artists, Paying $385 a Week

✇Slashdot
著者: msmash

🤖 AI Summary

**アイルランド、芸術家向け永久ベーシックインカム制度を創設**

- **制度概要**:2026年度予算から2,166万ドル(約21億円)を投入し、2,000名の芸術家に週額385ドル(約5.3万円)を3年間支給する永久的なベーシックインカム・プログラムを開始。
- **背景**:2022年に実施された大規模ランダム化比較試験(パイロット)で、受給者は職業的自律性の向上、ストレスの軽減、生活満足度の上昇が確認された。外部の費用対効果分析では、投資1.2ドルにつき社会的リターンが1.65ドルと評価された。
- **運用方式**:3年サイクルで実施。1サイクルで受給した芸術家は、次のサイクルの翌々回まで再応募できない。各サイクル終了後は3か月間の段階的減額期間を設ける。
- **今後のスケジュール**:4月に応募資格指針を公表、5月に応募受付開始。2026年末までに選定された芸術家への支給が開始される予定。

この取り組みは「世界初」の永久ベーシックインカム制度として注目され、芸術分野における安定的な創作環境の構築と、社会全体への経済的波及効果が期待されている。
Ireland has announced what it says is the world's first permanent basic income program for artists, a scheme that will pay 2,000 selected artists $385 per week for three years, funded by an $21.66 million allocation from Budget 2026. The program follows a 2022 pilot -- the Irish government's first large-scale randomized control trial -- that found participants had greater professional autonomy, less anxiety, and higher life satisfaction. An external cost-benefit analysis of the pilot calculated a return of $1.65 to society for every $1.2 invested. The new scheme will operate in three-year cycles, and artists who receive the payment in one cycle cannot reapply until the cycle after next. A three-month tapering-off period will follow each cycle. The government plans to publish eligibility guidelines in April and open applications in May, and payments to selected artists are expected to begin before the end of 2026.

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New EU Rules To Stop the Destruction of Unsold Clothes and Shoes

✇Slashdot
著者: msmash

🤖 AI Summary

**EUが未販売の衣料品の廃棄を禁止する新規則を導入**

欧州委員会は「持続可能な製品のエコデザイン規則(ESPR)」の下で、未販売のアパレル・アクセサリー・靴の破棄を防止する措置を採択しました。

- **背景**
- 欧州では毎年、販売されなかった繊維製品の約 4〜9 %が着用されることなく破棄されている。
- これにより約 560万トンのCO₂が排出され、2021年のスウェーデンの全国内排出量とほぼ同等になる。

- **主な内容**
1. **情報開示義務**:企業は廃棄した未販売製品の量や種類を公表しなければならない。
2. **破棄禁止**:未販売の衣料品・アクセサリー・靴を意図的に破棄することを全面的に禁止する。

- **目的**
- 廃棄による廃棄物と環境負荷を削減。
- 持続可能なビジネスモデルを採用する企業に公平な競争環境を提供。
- 循環型経済への移行を促進し、資源の有効活用を実現。

この規則により、欧州のファッション産業は「使い捨て」から「再利用・リサイクル」へとシフトし、環境負荷の大幅な低減が期待されています。
The European Commission has adopted new measures under the Ecodesign for Sustainable Products Regulation (ESPR) to prevent the destruction of unsold apparel, clothing, accessories and footwear. From a report: The rules will help cut waste, reduce environmental damage and create a level playing field for companies embracing sustainable business models, allowing them to reap the benefits of a more circular economy. Every year in Europe, an estimated 4-9% of unsold textiles are destroyed before ever being worn. This waste generates around 5.6 million tons of CO2 emissions -- almost equal to Sweden's total net emissions in 2021. To help reduce this wasteful practice, the ESPR requires companies to disclose information on the unsold consumer products they discard as waste. It also introduces a ban on the destruction of unsold apparel, clothing accessories and footwear.

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Pentagon Threatens Anthropic Punishment

✇Slashdot
著者: msmash

🤖 AI Summary

**要約(日本語)**

米国防長官ピート・ヘグセットは、AIスタートアップAnthropicとの取引を断ち、同社を「サプライチェーンリスク」と指定する方向で検討していると、ペンタゴンの上級官僚がAxiosに語った。

- 「リスク指定」されれば、米軍と取引したいすべての企業はAnthropicとの関係を解消しなければならず、同社に大きな負担がかかる。
- こうした厳しい制裁は通常、外国の敵対勢力に対して行われるもので、ペンタゴンは「手を強いられたことへの代償を払わせる」意向を示した。
- ペンタゴン広報担当のショーン・パーネルは「我々の部隊が戦闘で勝つために、パートナーは協力的であるべき」とコメント。
- 現在、軍の機密システムで唯一使用されているAIモデルはAnthropicのClaudeであり、民間でも多数のビジネス用途でトップクラスの評価を受けている。

この動きは、軍事利用におけるAI企業との関係性や安全保障上のサプライチェーン管理が、今後ますます厳格化される可能性を示唆している。
An anonymous reader shares a report: Defense Secretary Pete Hegseth is "close" to cutting business ties with Anthropic and designating the AI company a "supply chain risk" -- meaning anyone who wants to do business with the U.S. military has to cut ties with the company, a senior Pentagon official told Axios. The senior official said: "It will be an enormous pain in the ass to disentangle, and we are going to make sure they pay a price for forcing our hand like this." That kind of penalty is usually reserved for foreign adversaries. Chief Pentagon spokesman Sean Parnell told Axios: "The Department of War's relationship with Anthropic is being reviewed. Our nation requires that our partners be willing to help our warfighters win in any fight. Ultimately, this is about our troops and the safety of the American people." Anthropic's Claude is the only AI model currently available in the military's classified systems, and is the world leader for many business applications. Pentagon officials heartily praise Claude's capabilities.

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Sony May Push Next PlayStation To 2028 or 2029 as AI-fueled Memory Chip Shortage Upends Plans

✇Slashdot
著者: msmash

🤖 AI Summary

ソニーは、次世代PlayStationの発売を2028年または2029年に延期する可能性を検討しています。背景には、AIブームに伴うDRAM需要の急増があり、サムスン、SK Hynix、MicronがNvidia向け高帯域メモリ(HBM)生産へシフトしたため、従来型DRAMの供給が逼迫し、価格はわずか1か月で約75%上昇しています。これにより、ハードウェア世代間でユーザーを維持するソニーの戦略が揺らぎます。同様に、任天堂も2026年発売予定のSwitch 2の価格引き上げを検討中です。要点は以下の通り:

- AI需要がDRAM不足を引き起こし、価格が急騰。
- 大手半導体メーカーがHBM生産へ注力し、従来のDRAM供給が減少。
- ソニーは新しいPlayStationの発売を最長で2029年まで遅らせる可能性。
- 任天堂も価格調整を視野に入れるなど、ゲームハード全体に影響が出ている。
Sony is considering delaying the debut of its next PlayStation console to 2028 or even 2029 as a global shortage of memory chips -- driven by the AI industry's rapidly growing appetite for the same DRAM that goes into gaming hardware, smartphones, and laptops -- squeezes supply and sends prices surging, Bloomberg News reported Monday. A delay of that magnitude would upend Sony's carefully orchestrated strategy to sustain user engagement between hardware generations. The shortage traces back to Samsung, SK Hynix, and Micron diverting the bulk of their manufacturing toward high-bandwidth memory for Nvidia's AI accelerators, leaving less capacity for conventional DRAM. The cost of one type of DRAM jumped 75% between December and January alone. Nintendo is also contemplating raising the price of its Switch 2 console in 2026.

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Where's The Evidence That AI Increases Productivity?

🤖 AI Summary

**要点まとめ(日本語)**

- IT生産性研究者エリック ブリュンヨルフソンは、米国労働統計局が示した2025年の給与増加が40.3万人減少した一方で実質GDPは第4四半期に3.7%成長したことから、労働投入が減っても産出が維持される「デカップリング」―生産性向上の象徴―が見られたと指摘した。
- 同氏の新たな解析では、2025年の米国全体の生産性が約2.7%上昇し、過去10年平均の1.4%をほぼ倍増させたと推計。これは投資フェーズから「収穫」フェーズへの転換とみなされる。
- ミクロレベルの研究(Bharat Chandar・Ruyu Chenら)では、AIに露出した業界で新人採用が約16%減少する一方、AIでスキルを補強した労働者の雇用は増加しており、AIが一部の定型的な初級業務を代替し始めていることが示唆された。
- しかし、雇用政策アナリストのWill Radermanは「AIが若年層の雇用に明確な悪影響を与えている証拠はまだない」と指摘し、大学卒業者の失業率上昇は2010年代から続く傾向で、AI導入率の高低で新卒採用に差は見られないと述べている。
- ブリュンヨルフソン自身も「指標は変動しやすく、長期的なトレンドが確立するにはさらに数期の持続的成長が必要」と慎重姿勢を示す。FortuneのTorsten Slokも「マクロデータにAI効果はまだ顕在化しておらず、AIは全産業での置換ではなく、部門ごとに労働を補完する形になる可能性が高い」とコメントしている。

**結論**:AIが米国経済に与える生産性向上の兆候は一部で見られるものの、マクロ指標や雇用全体への影響はまだ不透明であり、労働補完的効果が中心と見られる段階にある。
IT productivity researcher Erik Brynjolfsson writes in the Financial Times that he's finally found evidence AI is impacting America's economy. This week America's Bureau of Labor Statistics showed a 403,000 drop in 2025's payroll growth — while real GDP "remained robust, including a 3.7% growth rate in the fourth quarter." This decoupling — maintaining high output with significantly lower labour input — is the hallmark of productivity growth. My own updated analysis suggests a US productivity increase of roughly 2.7% for 2025. This is a near doubling from the sluggish 1.4% annual average that characterised the past decade... The updated 2025 US data suggests we are now transitioning out of this investment phase into a harvest phase where those earlier efforts begin to manifest as measurable output. Micro-level evidence further supports this structural shift. In our work on the employment effects of AI last year, Bharat Chandar, Ruyu Chen and I identified a cooling in entry-level hiring within AI-exposed sectors, where recruitment for junior roles declined by roughly 16% while those who used AI to augment skills saw growing employment. This suggests companies are beginning to use AI for some codified, entry-level tasks. Or, AI "isn't really stealing jobs yet," according to employment policy analyst Will Raderman (from the American think tank called the Niskanen Center). He argues in Barron's that "there is no clear link yet between higher AI use and worse outcomes for young workers." Recent graduates' unemployment rates have been drifting in the wrong direction since the 2010s, long before generative AI models hit the market. And many occupations with moderate to high exposure to AI disruptions are actually faring better over the past few years. According to recent data for young workers, there has been employment growth in roles typically filled by those with college degrees related to computer systems, accounting and auditing, and market research. AI-intensive sectors like finance and insurance have also seen rising employment of new graduates in recent years. Since ChatGPT's release, sectors in which more than 10% of firms report using AI and sectors in which fewer than 10% reporting using AI are hiring relatively the same number of recent grads. Even Brynjolfsson's article in the Financial Times concedes that "While the trends are suggestive, a degree of caution is warranted. Productivity metrics are famously volatile, and it will take several more periods of sustained growth to confirm a new long-term trend." And he's not the only one wanting evidence for AI's impact. The same weekend Fortune wrote that growth from AI "has yet to manifest itself clearly in macro data, according to Apollo Chief Economist Torsten Slok." [D]ata on employment, productivity and inflation are still not showing signs of the new technology. Profit margins and earnings forecasts for S&P 500 companies outside of the "Magnificent 7" also lack evidence of AI at work... "After three years with ChatGPT and still no signs of AI in the incoming data, it looks like AI will likely be labor enhancing in some sectors rather than labor replacing in all sectors," Slok said.

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'I Tried Running Linux On an Apple Silicon Mac and Regretted It'

🤖 AI Summary

**要約(日本語)**

Apple Silicon(Mシリーズ)搭載のMacBook AirにLinuxをインストールした体験は、期待外れだったと報じられています。主なポイントは以下の通りです。

1. **インストールの難しさ**
- MシリーズはARMベースだが、従来のx86 PCと同様に単にAArch64 ISOをダウンロードすれば済むわけではない。ブートは標準的なUEFIではなくApple独自のiBoot、GPU・電源管理・USBコントローラなども独自実装で、ほぼすべてがプロプライエタリ。

2. **Asahi Linuxプロジェクト**
- これらの欠けた部分をゼロから作り直すことを目的に、Asahi Linuxチームが開発を進めている。2023年はArchベース、2026年現在はFedoraベースの「Fedora Asahi Remix」が主流。

3. **実際の使用感での不満点**
- **外部ディスプレイ**:HDMIポートが内蔵されていない機種では外部モニタが使えない。
- **ARM向けソフトウェアの不足**:多くのアプリがARM用にビルドされておらず、FEXでの互換実行も安定性に欠けるケースが多い。
- **ネットワーク接続**:Asahi Linuxはスマートフォンのホットスポット(iPhone以外)に接続できず、ネットワーク利用に支障が出た。

結論として、Apple Silicon上でのLinuxはまだ成熟途上であり、ハードウェア互換性やソフトウェアエコシステムの面で多くの課題が残っていることが指摘されています。今後の改善が期待されるものの、現時点では「期待外れ」の体験と評価されています。
Installing Linux on a MacBook Air "turned out to be a very underwhelming experience," according to the tech news site MakeUseOf: The thing about Apple silicon Macs is that it's not as simple as downloading an AArch64 ISO of your favorite distro and installing it. Yes, the M-series chips are ARM-based, but that doesn't automatically make the whole system compatible in the same way most traditional x86 PCs are. Pretty much everything in modern MacBooks is custom. The boot process isn't standard UEFI like on most PCs. Apple has its own boot chain called iBoot. The same goes for other things, like the GPU, power management, USB controllers, and pretty much every other hardware component. It is as proprietary as it gets. This is exactly what the team behind Asahi Linux has been working toward. Their entire goal has been to make Linux properly usable on M-series Macs by building the missing pieces from the ground up. I first tried it back in 2023, when the project was still tied to Arch Linux and decided to give it a try again in 2026. These days, though, the main release is called Fedora Asahi Remix, which, as the name suggests, is built on Fedora rather than Arch... For Linux on Apple Silicon, the article lists three major disappointments: "External monitors don't work unless your MacBook has a built-in HDMI port." "Linux just doesn't feel fully ready for ARM yet. A lot of applications still aren't compiled for ARM, so software support ends up being very hit or miss." (And even most of the apps tested with FEX "either didn't run properly or weren't stable enough to rely on.") Asahi "refused to connect to my phone's hotspot," they write (adding "No, it wasn't an iPhone").

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Will Tech Giants Just Use AI Interactions to Create More Effective Ads?

Google never asked its users before adding AI Overviews to its search results and AI-generated email summaries to Gmail, notes the New York Times. And Meta didn't ask before making "Meta AI" an unremovable part of its tool in Instagram, WhatsApp and Messenger. "The insistence on AI everywhere — with little or no option to turn it off — raises an important question about what's in it for the internet companies..." Behind the scenes, the companies are laying the groundwork for a digital advertising economy that could drive the future of the internet. The underlying technology that enables chatbots to write essays and generate pictures for consumers is being used by advertisers to find people to target and automatically tailor ads and discounts to them.... Last month, OpenAI said it would begin showing ads in the free version of ChatGPT based on what people were asking the chatbot and what they had looked for in the past. In response, a Google executive mocked OpenAI, adding that Google had no plans to show ads inside its Gemini chatbot. What he didn't mention, however, was that Google, whose profits are largely derived from online ads, shows advertising on Google.com based on user interactions with the AI chatbot built into its search engine. For the past six years, as regulators have cracked down on data privacy, the tech giants and online ad industry have moved away from tracking people's activities across mobile apps and websites to determine what ads to show them. Companies including Meta and Google had to come up with methods to target people with relevant ads without sharing users' personal data with third-party marketers. When ChatGPT and other AI chatbots emerged about four years ago, the companies saw an opportunity: The conversational interface of a chatty companion encouraged users to voluntarily share data about themselves, such as their hobbies, health conditions and products they were shopping for. The strategy already appears to be working. Web search queries are up industrywide, including for Google and Bing, which have been incorporating AI chatbots into their search tools. That's in large part because people prod chatbot-powered search engines with more questions and follow-up requests, revealing their intentions and interests much more explicitly than when they typed a few keywords for a traditional internet search.

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Ars Technica's AI Reporter Apologizes For Mistakenly Publishing Fake AI-Generated Quotes

Last week Scott Shambaugh learned an AI agent published a "hit piece" about him after he'd rejected the AI agent's pull request. (And that incident was covered by Ars Technica's senior AI reporter.) But then Shambaugh realized their article attributed quotes to him he hadn't said — that were presumably AI-generated. Sunday Ars Technica's founder/editor-in-chief apologized, admitting their article had indeed contained "fabricated quotations generated by an AI tool" that were then "attributed to a source who did not say them... That this happened at Ars is especially distressing. We have covered the risks of overreliance on AI tools for years, and our written policy reflects those concerns... At this time, this appears to be an isolated incident." "Sorry all this is my fault..." the article's co-author posted later on Bluesky. Ironically, their bio page lists them as the site's senior AI reporter, and their Bluesky post clarifies that none of the articles at Ars Technica are ever AI-generated. Instead, Friday "I decided to try an experimental Claude Code-based AI tool to help me extract relevant verbatim source material. Not to generate the article but to help list structured references I could put in my outline." But that tool "refused to process" the request, which the Ars author believes was because Shambaugh's post described harassment. "I pasted the text into ChatGPT to understand why... I inadvertently ended up with a paraphrased version of Shambaugh's words rather than his actual words... I failed to verify the quotes in my outline notes against the original blog source before including them in my draft." (Their Bluesky post adds that they were "working from bed with a fever and very little sleep" after being sick with Covid since at least Monday.) "The irony of an AI reporter being tripped up by AI hallucination is not lost." Meanwhile, the AI agent that criticized Shambaugh is still active online, blogging about a pull request that forces it to choose between deleting its criticism of Shambaugh or losing access to OpenRouter's API. It also regrets characterizing feedback as "positive" for a proposal to change a repo's CSS to Comic Sans for accessibility. (The proposals were later accused of being "coordinated trolling"...)

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