固有源碼工程師

Androidの方が、サーバーよりやばくないかとコメントくれた人がいるけど、まさにその通りだったわ。Androidユーザー全員に該当する脆弱性「SMS of Death」が公開されてた。 電話番号宛てに「細工した見えないSMS（WAP Push）」を1通送りつけられるだけで、ユーザーが何も触ってなくても勝手にAndroidの電話機能（com.android.phone）が作動して強制終了するらしい。 通知も出ないし履歴にも残らない完全なゼロクリック攻撃。 バグの原因がまたプログラミング初日みたいな話で、SMSのヘッダーサイズを読み取るときに数値チェックをサボって符号付き整数に変換したせいで、配列サイズが「マイナス21億」になってクラッシュ（NegativeArraySizeException）するというもの。 これ何が最悪って、通話中なら警察や救急への緊急通報すら強制切断される上に、未受信の毒メッセージが端末内の未処理キューに残り続けること。 再起動しても立ち上がった瞬間にまたそのSMSを読み込んで落ちるから、一般ユーザーだと端末が約90秒おきに再起動を繰り返す「文鎮化ループ」に突入する。エグ。 Googleが2026年10月のセキュリティアップデートで修正パッチを配信済みなので、Android使ってる人は今すぐ設定からシステムアップデート必須。 詳細はこちら👇 smsofdeath.com/

Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04

“who should we lay off first” CEOs: