⏐ Taklimat Pagi

Taklimat Pagi Saya

“Setiap pagi adalah peluang baru untuk jadi lebih hebat dari semalam.”
//15 cerita//~3 minit

🔗 baca_penuh: pagi.hejes.my/2026/08/22

> ringkasan_ai

# 🤖 Evolusi LLM & OpenAI

✅ **GPT-5.6 kini kuasa Microsoft 365 Copilot** [OpenAI] — Model terbaru ni dah masuk dalam Word, Excel, dan PowerPoint untuk kerja yang lebih cepat dan berkualiti.💡 **Kenapa Penting** — Produktiviti Master dalam ekosistem Microsoft bakal naik level kalau guna model ni.

✅ **Workflow ChatGPT Work untuk Data Science & Sales** [OpenAI] — OpenAI kongsi cara praktikal guna ChatGPT untuk buat KPI memo, analisis data, sampai ke *deal diagnosis* untuk sales.💡 **Kenapa Penting** — Boleh jimat masa Master untuk buat kerja-kerja pengurusan yang remeh.

✅ **Panduan Permulaan ChatGPT** [OpenAI] — Tutorial asas untuk yang baru nak berjinak-jinak dengan AI untuk brainstorming dan selesaikan masalah.💡 **Kenapa Penting** — Bagus untuk rujukan kalau Master nak ajar staf baru.

# 🔬 Penyelidikan AI & Akademik (arXiv)

✅ **Kajian Reproduksibiliti Neuro-Symbolic** [arXiv] — Audit mendapati cuma 6.5% literatur Neuro-Symbolic yang boleh direproduksi semula.💡 **Kenapa Penting** — Amaran supaya Master lebih skeptikal dengan claim-claim kertas kajian yang nampak terlalu hebat.

✅ **FaithSieve: Penilaian Bukti Matematik** [arXiv] — Sistem baru untuk check sama ada bukti matematik yang dijana LLM tu betul atau ada error logik.💡 **Kenapa Penting** — Selesaikan masalah "halusinasi" AI dalam pengiraan kompleks.

✅ **Kajian Mentalization Manusia vs LLM** [arXiv] — Analisis keupayaan AI untuk faham kepercayaan dan niat orang lain (social interaction).💡 **Kenapa Penting** — Kita makin dekat untuk buat AI yang betul-betul "faham" emosi manusia.

✅ **SKILL.state & Isu Guardrail LLM** [arXiv] — Fokus kepada ejen AI yang boleh buat tugasan jangka panjang dan risiko "stale verdict" (keputusan lambat) dalam sistem adaptif.💡 **Kenapa Penting** — Penting kalau Master nak bina autonomous agent yang stabil dan selamat.

# 🛠️ Tooling & Model Terbuka (HuggingFace)

✅ **OlmoEarth v1.1 & PaddleOCR 3.5** [HuggingFace] — Model baru untuk pemerhatian bumi yang lebih efisien dan OCR yang lebih power guna Transformers backend.💡 **Kenapa Penting** — Tool yang sangat berguna kalau Master ada projek berkaitan imej satelit atau parsing dokumen.

✅ **Granite Embedding R2 & Ettin Reranker** [HuggingFace] — Model embedding multilingual (32K context) dan keluarga reranker baru yang open-source.💡 **Kenapa Penting** — Alternatif percuma dan power untuk buat sistem RAG (Retrieval Augmented Generation).

✅ **Optimasi Batching & Asynchronicity** [HuggingFace] — Teknik baru untuk buat *continuous batching* jadi lebih lancar.💡 **Kenapa Penting** — Boleh kurangkan latency kalau Master host model sendiri.

# 🏢 Implementasi Industri

✅ **Deutsche Telekom x OpenAI** [OpenAI] — Syarikat telco ni tengah tukar seluruh operasi mereka (customer service & network) jadi AI-native.💡 **Kenapa Penting** — Contoh nyata macam mana korporat besar skala global implement AI secara menyeluruh.

🔥 Top Picks

**GPT-5.6 in M365** (Sebab ni impact direct pada tool harian)

**Deutsche Telekom Case Study** (Boleh jadi benchmark untuk strategi AI Master)

**Granite Embedding R2** (Sebab open-source dan context window besar)

> ls -la berita/

🧠 AI/ML

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🧠 AI/ML

OlmoEarth v1.1: A more efficient family of Earth observation models

$> HuggingFace⏱️ 1m
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🧠 AI/ML

PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

$> HuggingFace⏱️ 1m
→
🧠 AI/ML

GPT-5.6 is now the preferred model in Microsoft 365 Copilot

Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work.

$> OpenAI⏱️ 1m
→
🧠 AI/ML

Data science workflows with ChatGPT Work

Learn practical ChatGPT Work workflows for root-cause briefs, KPI memos, scoped analyses, and dashboard specifications.

$> OpenAI⏱️ 1m
→
🧠 AI/ML

Sales workflows with ChatGPT Work

Learn practical ChatGPT Work workflows for pipeline briefs, meeting prep, account plans, forecast reviews, and deal diagnosis.

$> OpenAI⏱️ 1m
→
🧠 AI/ML

6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation

arXiv:2608.26236v1 Announce Type: new Abstract: We present a six-stage framework for auditing the reproducibility of scientific claims across a research literature within the computer science domain, and instantiate our framework for the neuro-symbol

$> arXiv cs.AI⏱️ 1m
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🧠 AI/ML

Getting started with ChatGPT

Learn how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI.

$> OpenAI⏱️ 1m
→
🧠 AI/ML

FaithSieve: Fine-Grained Evaluation of Math Proofs with Faithful Formal Evidence

arXiv:2608.26310v1 Announce Type: new Abstract: Large language models can now generate complex, multi-step mathematical proofs, but reliably determining their correctness and localizing early logical errors remains a critical challenge. Existing eval

$> arXiv cs.AI⏱️ 1m
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🧠 AI/ML

Assessing mentalization in humans and large language models

arXiv:2608.26291v1 Announce Type: new Abstract: Mentalization - the ability to infer others' beliefs and intentions to guide one's own choices - is a key cognitive function underlying human social interactions. Large language models (LLMs) demonstrat

$> arXiv cs.AI⏱️ 1m
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🧠 AI/ML

How Deutsche Telekom is rewiring telecommunications with AI

How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice.

$> OpenAI⏱️ 1m
→
🧠 AI/ML

SKILL.state: Scalable Long-Horizon Agent Skills

arXiv:2608.26263v1 Announce Type: new Abstract: Large Language Models (LLMs) increasingly act as autonomous agents executing complex, long-running procedural skills. Existing agent runtimes maintain execution by continually appending observations, ac

$> arXiv cs.AI⏱️ 1m
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🧠 AI/ML

Approved Too Late: Verdict Staleness in LLM-Guarded Self-Adaptive Systems

arXiv:2608.26306v1 Announce Type: new Abstract: A large language model (LLM) guardrail for a self-adaptive system (SAS) may issue an approval that is correct at check time but stale by actuation. This creates an Execute-stage time-of-check to time-of

$> arXiv cs.AI⏱️ 1m
→

📌 Lain-lain

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