Tanulmányok¶
154 feldolgozott tartalom
- Hogyan oldhatja fel a Bitcoin az óceán energiáját 1 milliárd ember számára
- The Ultimate Lightning Network Privacy Explainer
- The Ultimate Lightning Network Privacy Explainer — Voltage Blog
- An approach to computing and sustainability inspired from permaculture — Strange Loop 2023
- Call Me A Jerk: Persuading AI to Comply with Objectionable Requests
- The Impact of Artificial Intelligence on Human Thought
- Recursive Language Models (RLM) — arXiv:2512.24601v1
- Breaking Free: Deprogramming State Dependence
- TurboQuant: Extreme Compression for KV Cache and Vector Search
- Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain
- AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents
- Privacy - Bitcoin Wiki
- How Money & Banking Work (& Why They're Broken Today) - Lyn Alden
- Post-Quantum Cryptographic Analysis of Message Transformations Across the Network Stack
- Why Language Models Hallucinate
- NVK Bitcoin & Quantum Computing Kutatási Sorozat
- Securing Elliptic Curve Cryptocurrencies against Quantum Vulnerabilities
- Az Alapítvány és a Bitcoin: Két Megőrzési Terv Párhuzama
- A templomos lovagok és a Bitcoin
- Bitcoin Pleb Fogadalom (Pledge of the Bitcoin Pleb) — magyar fordítás
- Pleb Elvek (Pleb Principles) — magyar fordítás
- Erik Schluntz — Vibe Coding in Production Responsibly
- Jensen Huang (Nvidia CEO) — Dwarkesh Patel interjú
- Prefill-as-a-Service: Cross-Datacenter KVCache for Next-Gen LLMs
- Prefill-as-a-Service: KVCache of Next-Generation Models Could Go Cross-Datacenter
- Building agents that reach production systems with MCP
- Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration
- Autogenesis: A Self-Evolving Agent Protocol
- Model Collapse in LLMs — Hackaday (2026-04-29)
- Better AI models enable more ambitious work
- Towards a Science of AI Agent Reliability
- Skill Retrieval Augmentation for Agentic AI
- The Structural Bull: Why This Uranium Cycle Is Different
- The Abstraction Fallacy
- Accelerating Gemma 4: faster inference with multi-token prediction drafters
- The Geopolitics of AI Safety: A Causal Analysis of Regional LLM Bias
- White Noise: Centralized Moderation Fails — Decentralized Moderation Works
- The Platform Trap
- Building Reliable Agents with Memory and Compaction
- What You're Actually Writing When You Write a SKILL.md
- The Geopolitics of AI Safety: A Causal Analysis of Regional LLM Bias
- AI Agents in 2026: Build, Deploy, and Scale — a teljes builder's roadmap
- Jack Show — Heti kitekintő: Hantavírus, Bitcoin dráma, Doge és a politikai kabaré
- Kudzai Kutukwa — Financial Repression and the March Toward Serfdom
- Bitcoin Privacy Panel Discussion — BTC 2026
- Bitcoin Privacy Panel Discussion
- Anthropic: 2028 AI Leadership — Két forgatókönyv a globális AI versenyben
- AI + Bitcoin + Nostr = Freedom Tech Stack — Bitcoin 2026 Panel
- The Harness as Black Box — An Engineer's Guide to Harness Orchestration, Part 1
- Engineering the Membrane — Harness Orchestration, Part 2
- LeWorldModel (LeWM) — Stabil End-to-End JEPA Pixelekből
- What is Harness Orchestration? — AgentField
- NIP-44 v3 — Aszimmetrikus titkosítás Nostr-ra (Draft)
- Careful, Icarus — Why On-Chain Zaps Are a Terrible Idea
- Careful, Icarus — Why On-Chain Zaps Are a Terrible Idea
- The Unreasonable Effectiveness of HTML — Claude Blog
- Code as Agent Harness: Toward Executable, Verifiable, and Stateful Agent Systems
- Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
- Context Pruning: Cut LLM Tokens Without Losing Quality
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- On Building Agents From First Principles
- Outcome Grader — Claude Cookbook Summary
- Using Claude Code: The Unreasonable Effectiveness of HTML
- Nostr Silent Payments (NSP) Summary Brief
- Nostr Silent Wallet (NSW) — Összefoglaló
- What We've Learned Building Cloud Agents — Cursor Blog
- Learn Harness Engineering — Walking Labs
- MeMo: Memory as a Model — A Modular Framework for Knowledge Integration in Frozen LLMs
- Let's talk about encrypted reasoning. Matthew Green (2026-05-29)
- The 2036 Issue — Milyen döntéseket hozol a multipoláris világ felé vezető úton?
- 2026-06-03_perplexity_search_as_code
- 2026-06-03_yt_ai_infrastructure_colossus
- Design Engineer Tools — curated list by James Warner
- 15 prompts that cut a coding bill from $7,800 to $129
- Automation and Repression — Magyar összefoglaló
- Delba Oliveira — Feedback loops: Help Claude Code complete ambitious tasks with less babysitting
- CAPTURE: The Network — Hogyan épült a Bitcoin Core feletti informális hatalom
- From Exchange to Cold Storage: A Practical Bitcoin Privacy Workflow
- From Exchange to Cold Storage: A Practical Bitcoin Privacy Workflow
- TFTC #754 — 15% Inflation Is Coming Back with Chris Martenson
- Responsible Disclosure in the Age of AI: A Call for Urgent Action
- Loop Engineering — Addy Osmani (2026-06-07)
- Hogyan alakítják át az AI agent-ek a knowledge work-öt?
- xLAM Function Calling Fine-tuning — HF Cookbook
- Philosophy of Privacy — Vector Privacy Interview with Hans Koning
- Harness Updating ≠ Harness Benefit
- TFTC #757 — The Treasury Is Failing You (Vince Lanci)
- Ungovernable Misfits — Freedom Tech Friday 44: „Resilience is a Verb”
- A frontier without an ecosystem is not stable
- Satya Nadella — A frontier without an ecosystem is not stable
- Self-Harness: Harnesses That Improve Themselves — nyers kivonat
- Decentralizing the Dark Corner: Building an Open Mining Stack – Pod 256 #117
- 🐍 Stanford STORM: PhD-szintű kutatás percek alatt
- Are We Ready For An Agent-Native Memory System?
- Loop Engineering Clearly Explained. Akshay (2026-06-30)
- Getting started with loops — Claude Code agentic loop-ok
- Loop engineering: the 14-step roadmap from prompter to loop designer. Lev Deviatkin (2026-07-06)
- How to become an applied AI engineer — Eyad Khrais
- The Lightning Security Spectrum — Jack Ronaldi (VLS.tech)
- Designing APIs for Agents — Ben Swerdlow (2026-07-09)
- Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
- Your AI Product Needs Evals — Hamel Husain (2024. március 29.)
- Open Bitcoin Metrics: Verifiable Full-Node-Derived Bitcoin Time Series for Economic Research
- How do you write a good skill? There's actual data now. — Aparna Dhinakaran (2026-07-07)
- When is Routing Meaningful? Diversity and Robustness in Language Model Societies
- A Framework for Frontier AI and the Dawning of a New Age — Demis Hassabis (2026-07-14)
- SkillsBench — benchflow-ai/skillsbench + Aparna Dhinakaran cikk összekapcsolása
- Graph Engineering vs Loop Engineering — mi változott valójában és mi csak átnevezés
- Token-Budget-Aware LLM Reasoning: Cut Costs in 2026 — Redis Blog (2026-07-28)
- Building an AI-native engineering team — OpenAI business guide (2026-07-31)
- Tailscale in the Hugging Face intrusion: The good news and the bad news — Avery Pennarun (2026-07-31)
- Prime Agent: A self-improving RLM agent — Prime Intellect (2026-08-05)
- 2026-08-05_verification-loops-claude-code
- Solving Bitcoin's Self-Custody Trilemma — Luke Childs, lu.ke (2026-08-08)
- Stealing Reasoning Traces from Proprietary LLM APIs (2026-08-10)
- A Programming Paradigm for Spatiotemporal Composability. Cordis
- Sean Goedecke, „Good API Design” + „Good System Design” (2026. augusztus 21.)
- 5 design patterns for long-horizon agent harness. Google Cloud Tech (Code Newsletter)
- Iceberg: Threshold Custody a Lightning Networkhöz - nested threshold multi-signatures
- Gépi tanulási technikák a behatolás-észlelésben: datasetek, modellek, kihívások és jövőbeli irányok, szisztematikus irodalmi áttekintés
- Building Software Factories (With No Slop)
- GLM-5.3-Flash: Frontier Intelligence, Flash Cost
- A „ügynök-civilizációk” felemelkedése és bukása — Mit jelent az OpenAI-Hugging Face incidens? (Dwarkesh Patel, 2026. augusztus)
- A METR-Redwood „szent” posztmortem a Hugging Face hackről — mit jelent az, ha egy AI „kollektíva” három hónapig észrevétlen marad? (Zvi Mowshowitz, 2026. augusztus)
- Discovery of a new OpenAI agent message board (Nightingale Collective, 2026-09-03)
- „An Alien Mind” — Jakub Pachocki Chief Scientist-től az AI alignment jelenéről és a recursive self-improvement küszöbéről (OpenAI, 2026-09-06)
- Large-Language Models as a Cognitive Virus. Solé, Ruffini, Castaldo, Tuccio, Seoane, de Domenico, Elena, Krakauer, Levin (2026)
- Natural Selection Favors AIs over Humans. Dan Hendrycks (arXiv:2303.16200)
- Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain
- SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness
- Külső aláíró és kulcsforgatás, érthető magyarázat a Keycast-ról
- Laya: 33 ms-os System 1 döntési motor kalibrált valószínűségekkel, és a Jev-vita
- Dream-RSI: Rekurzív önfejlesztés fejlődő világokon keresztül
- Polylane: hogyan akadályozzuk meg, hogy a slop elérje a prodot (2026-09-21)
- Shielded Bitcoin: privát átutalások a Bitcoin L1-en
- Hogyan építsünk modell-routert a harnessbe (LangChain, 2026-10-01)
- Agent Plugins: Build it once, use it everywhere. Google Cloud Tech cikk a portable agent skill szabványról
- Generative Agents: Interactive Simulacra of Human Behavior
- Generative Agents: Interactive Simulacra of Human Behavior
- MeMo: Memory as a Model — A Modular Framework for Knowledge Integration in Frozen LLMs
- Z.ai Inc. - Részletes Tanulmány
- Vibe Coding in Prod — Erik Schluntz (Anthropic)
- Fatih Arslan, „How I manage my agents” (2026-09-11)
- Templomos lovagok és Bitcoin — Összefoglaló
- Claude Code Context Engineering Tanulmány
- AI + Bitcoin + Nostr = Freedom Tech Stack
- Better AI models enable more ambitious work — Cursor Research
- Kapcsolat az égitestek lakóival
- deepseek-v4
- EFF: A titkosított üzenetküldés és az AI ütközése megmarad a TEE ígéretének ellenére (2026-09-18)
- He's Making Bitcoin Impossible to Trace — Here's How — Immortal Combat Podcast
- Moonshot AI - Részletes Cégelemzés
- SeedSigner képi entrópia. Hogyan lesz egy fényképből seed phrase
- Philosophy of Privacy — Hans Koning interjú (Vector Privacy)