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SEC EDGAR ·

8-K - Metallus Inc. (0001598428) (Filer)

Filed: 2026-11-02 AccNo: 0001193125-26-443736 Size: 3 MB Item 2.02: Results of Operations and Financial Condition Item 7.01: Regulation FD Disclosure Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - Keysight Technologies, Inc. (0001601046) (Filer)

Filed: 2026-11-02 AccNo: 0001601046-26-000038 Size: 172 KB Item 5.02: Departure of Directors or Certain Officers; Election of Directors; Appointment of Certain Officers: Compensatory Arrangements of Certain Officers Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - Block, Inc. (0001512673) (Filer)

Filed: 2026-11-02 AccNo: 0001193125-26-443728 Size: 271 KB Item 5.03: Amendments to Articles of Incorporation or Bylaws; Change in Fiscal Year Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - LENNOX INTERNATIONAL INC (0001069202) (Filer)

Filed: 2026-11-02 AccNo: 0001069202-26-000102 Size: 204 KB Item 5.02: Departure of Directors or Certain Officers; Election of Directors; Appointment of Certain Officers: Compensatory Arrangements of Certain Officers Item 7.01: Regulation FD Disclosure Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - HERBALIFE LTD. (0001180262) (Filer)

Filed: 2026-11-02 AccNo: 0001213900-26-114951 Size: 639 KB Item 2.02: Results of Operations and Financial Condition Item 7.01: Regulation FD Disclosure Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - PVH CORP. /DE/ (0000078239) (Filer)

Filed: 2026-11-02 AccNo: 0001213900-26-114950 Size: 261 KB Item 5.02: Departure of Directors or Certain Officers; Election of Directors; Appointment of Certain Officers: Compensatory Arrangements of Certain Officers Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - AEHR TEST SYSTEMS (0001040470) (Filer)

Filed: 2026-11-02 AccNo: 0001654954-26-009385 Size: 464 KB Item 2.02: Results of Operations and Financial Condition Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - ConnectM Technology Solutions, Inc. (0001895249) (Filer)

Filed: 2026-11-02 AccNo: 0001104659-26-121338 Size: 248 KB Item 1.01: Entry into a Material Definitive Agreement Item 2.03: Creation of a Direct Financial Obligation or an Obligation under an Off-Balance Sheet Arrangement of a Registrant Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - BOISE CASCADE Co (0001328581) (Filer)

Filed: 2026-11-02 AccNo: 0001328581-26-000033 Size: 1 MB Item 2.02: Results of Operations and Financial Condition Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - Celanese Corp (0001306830) (Filer)

Filed: 2026-11-02 AccNo: 0001306830-26-000130 Size: 3 MB Item 7.01: Regulation FD Disclosure Item 9.01: Financial Statements and Exhibits

SEC EDGAR ·

8-K - UDR, Inc. (0000074208) (Filer)

Filed: 2026-11-02 AccNo: 0000074208-26-000084 Size: 6 MB Item 2.02: Results of Operations and Financial Condition Item 9.01: Financial Statements and Exhibits

Product Hunt ·

Floot Payments

Take payments in apps you build in ChatGPT and Claude

Product Hunt ·

LidCommit

Auto-commit when you close your laptop lid

Product Hunt ·

Glasshand

Give your agent a real iPhone and Mac

MIT News ·

Powering up for a pivotal moment

From a nuclear revival to qubits, the MIT Energy Initiative’s annual research conference tracked deployment of today’s technologies to discovery of tomorrow’s breakthroughs.

V2EX ·

[程序员] 在搞一个 AI Coding 的 mac 项目,发现 glm 接入 claude 比 zcode 聪明太多了

我不是程序员,最近在学 AI Coding 。前一阵子知道了 Magpie 。然后把各种能接入的地方都接入了,然后就说试用一下用不了的 Claude Code 。 目前在做一个 Mac 的小软件。发现 GLM 5.3 flash ,在各种 Harness Agent 里面都不如在 Claude Code 里面聪明。天呐,这还有一层等级差距啊? 这是为啥呀? 让他在画某个 UI 的途中,在很多 Agent 里面,他跟我玩 Cosplay ,他还跟我说,最迟 30 分钟给方案,你的这个改动要花一天工时,这种非常拟人的话。然后自然就是什么都画不出来也不知道自己为什么错。那你也知道的,就会又陷入到那种拟人的各种出错、各种无法进行的状态。 我才刚刚试了下 Claude Code ,就发现我靠,它真的能分析出来到底哪一个地方错了,到底哪一个地方用的参数不对。没想到 Harness 的差距也这么大。。。天呐,这要是能用得上 Claude Code 这还不得起飞喽呀。。。无语😑

Hacker News ·

Show HN: An experiment in automated long-horizon builds with AMQP 0.9.1

My cofounders and I are in the process of spinning up an AI integration lab, and over the last year we've consumed billions of tokens across multiple American, European, and Chinese models as a force multiplier for building out our products. However, despite our extensive technical expertise, we've still discovered there are long-term ramifications to heavy agentic AI usage. So I decided to run an experiment for us: given a specification, can an LLM fully, concretely, and correctly implement an