Buku ini berisi referensi untuk kuliah pemrograman bahasa assembly untuk tingkat perguruan tinggi. Set instruksi yang dibahasa adalah x86-64 untuk prosesor x86-64 menggunakan sistem operasi Ubuntu 64 bit.

Kode di buku ini diuji di Ubuntu versi 22.04 LTS

Source:

• http://www.egr.unlv.edu/~ed/assembly64.pdf
• mirror

Today we’re releasing new @AnthropicAI research on how educators use AI, analyzing ~74,000 conversations from professors using @claudeai in collaboration with Northeastern University.

4 initial findings…

1. Educators are builders, not just users of AI. Faculty are creating interactive chemistry simulations, grading rubrics, and data dashboards with Claude Artifacts.
2. Educators automate the drudgery while staying in the loop for almost everything else. 77% of teaching and classroom instruction uses are collaborative, while 65% of financial/fundraising tasks are fully delegated. High-touch educational work remains human-centered.
3. Notable tension in the data: 49% of grading conversations showed automation patterns, yet faculty rated this as AI’s least effective application. This disconnect highlights ongoing debates around appropriate AI use in assessment.
4. AI is forcing pedagogical change. Professors are completely redesigning assessments—one shared: “I will never again assign a traditional research paper,” instead creating assignments requiring critical thinking even with AI assistance.

Abstrak

Abstract: We present Jet-Nemotron, a new family of hybrid-architecture language models, which matches or exceeds the accuracy of leading full-attention models while significantly improving generation throughput. Jet-Nemotron is developed using Post Neural Architecture Search (PostNAS), a novel neural architecture exploration pipeline that enables efficient model design. Unlike prior approaches, PostNAS begins with a pre-trained full-attention model and freezes its MLP weights, allowing efficient exploration of attention block designs. The pipeline includes four key components: (1) learning optimal full-attention layer placement and elimination, (2) linear attention block selection, (3) designing new attention blocks, and (4) performing hardware-aware hyperparameter search. Our Jet-Nemotron-2B model achieves comparable or superior accuracy to Qwen3, Qwen2.5, Gemma3, and Llama3.2 across a comprehensive suite of benchmarks while delivering up to 53.6× generation throughput speedup and 6.1× prefilling speedup. It also achieves higher accuracy on MMLU and MMLU-Pro than recent advanced MoE full-attention models, such as DeepSeek-V3-Small and Moonlight, despite their larger scale with 15B total and 2.2B activated parameters.

Microsoft just released VibeVoice - 1.5B SoTA Text to Speech model - MIT Licensed

It can generate up 90 minutes of audio Supports simultaneous generation of > 4 speakers Streaming and larger 7B model in-coming Capable of cross-lingual and singing synthesis

Source:

• https://huggingface.co/microsoft/VibeVoice-1.5B

Fakta-fakta:

• Fact 1: Employment for young workers has declined in AI-exposed occupations
• Fact 2: Though overall employment continues to grow, employment growth for young workers in particular has been stagnant
• Fact 3: Entry-level employment has declined in applications of AI that automate work, with muted changes for augmentation
• Fact 4: Employment declines for young, AI-exposed workers remain after conditioning on firm-time shocks
• Fact 5: Labor market adjustments are visible in employment more than compensation
• Fact 6: Findings are largely consistent under alternative sample constructions

Source: https://github.com/murtaza-nasir/maestro

Seven lessons for enterprise AI adoption

Source:

Kunci keberhasilan leetcode menurut Ashish Pratap Singh:

1. Prefix Sum
2. Two Pointers
3. Sliding Window
4. Fast & Slow Pointers
5. LinkedList In-place Reversal
6. Monotonic Stack
7. Top ‘K’ Elements
8. Overlapping Intervals
9. Modified Binary Search
10. Binary Tree Traversal
11. Depth-First Search (DFS)
12. Breadth-First Search (BFS)
13. Matrix Traversal
14. Backtracking
15. Dynamic Programming Patterns

Source: https://blog.algomaster.io/p/15-leetcode-patterns

Perangkat Lunak Alat Bantu. Banyak yang dibuat berbasis AI.

• Claude.ai – solves anything
• Syllaby.io – create and publish videos
• MidJourney.com – generates art
• Hellowarrant.com – ai for marketing compliance
• Heygen.com – creates AI avatars
• Soundraw.io – produces music in seconds
• Ranked.ai – rank higher on Google
• Submagic.co – turn long videos into shorts
• SlidesAI.io – makes presentations for you
• PicWish.com – edits photos fast
• Fastread.io - create ebooks
• Bibley.io - ai for Bible study
• Manus.im - code any app
• Capsho.com - podcast into content
• Webinarkit.com - ai for webinars
• Creatorunlock.com - ai for YouTube
• sociable.how - write viral comments
• Adcreative.ai - ai tool for advertising
• Canva.com - design anything
• Fastphoto.io - create ai headshots
• askcoachken.com - ai relationship coach
• threadmaster.ai - create viral Facebook thread
• V0.dev - create frontend mockups
• suno.com - create ai music
• keywordsearch.com - boost ad conversions
• labs.google - Google’s AI video maker
• Beautiful.ai - make sleek AI presentations
• Remove.bg - instantly remove backgrounds
• Uizard.io - turn sketches into UI mockup
• Aiva.ai - compose AI-generated music
• AnimaApp.com - turn designs into code
• Replika.ai - AI relationship companion
• notebooklm.google.com - turn anything into a podcast
• Photes.io - turn photos into text notes
• Magai.ai - all AI models in one
• CopyOwl.ai - deep research into articles
• fastpedia.io - ai tools directory
• kuse.ai - ChatGPT into white boards
• createanything.com - create apps and websites
• snowglobe.so - simulate user testing
• sintra.ai - team of ai agents
• livex.ai - ai agents for customer retention
• Revatto.com - ai for churn reduction
• clueso.io - product videos in minutes
• skala.io - legal platform for startups
• n8n.io - automate anything
• beehiiv.com - best newsletters for creators
• blur-it.app - blur sensitive information
• perplexity.ai - best ai search engine
• lemlist.com - turn website views into leads

Kutipan dari twitter tentang masalah keamanan di headphone wireless. Salah satu masalah wireless adalah keamanan data. Kalau mau 100% aman memang lebih baik pakai headphone kabel saja.

Just saw a sick live demo of wireless headphone hijacking that allows the attacker to perform the following without ever pairing the device. All the attacker has to do is be in range.

• read/write arbitrary bytes to device
• read headphones information
• dump firmware info
• extract paired devices information (name, link key, MAC address)

and since you can extract the above information, the attacker can then impersonate as the device and perform actions like