# alignment Published articles for alignment. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## PPO vs GRPO, Simply Explained DevFeed: [PPO vs GRPO, Simply Explained]() Original publisher: [Read original article]() Author: Dr. Ashish Bamania Published: 2026-09-17T11:47:38Z Content type: tutorial Language: en Sources: [Into AI]() Topics: [Large Language Model](), [post-training](), [Reinforcement learning](), [Algorithms]() Tags: [algorithm](), [alignment](), [human-feedback](), [llm](), [llm-training](), [post-training](), [reinforcement-learning](), [training]() ### AI overview A tutorial comparing PPO and GRPO as reinforcement learning algorithms used in LLM post-training. It explains PPO, including RLHF, policy-gradient updates, and clipped token-probability changes intended to keep model behavior close to its previous version. ### Source excerpt A simple lesson on two important LLM post-training algorithms. ## Our framework for reporting model misalignment DevFeed: [Our framework for reporting model misalignment]() Original publisher: [Read original article]() Published: 2026-09-16T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [AI Development](), [AI Strategy](), [Framework](), [Development]() Tags: [ai](), [ai-development](), [alignment](), [behavior](), [developers](), [model](), [monitoring](), [openai](), [reporting](), [research](), [standards]() ### AI overview OpenAI introduces a framework for tracking, investigating, and disclosing model misalignment, accompanied by six reports on unexpected or concerning model behavior observed over the previous six months. The framework favors disclosure even when the significance of an instance is uncertain and is intended to evolve through experience and public feedback. ### Source excerpt OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior. ## AI leaders propose embedded third-party evaluators for frontier AI safety DevFeed: [AI leaders propose embedded third-party evaluators for frontier AI safety]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-16T15:58:41Z Content type: news Language: en Sources: [The New Stack]() Topics: [Job](), [Artificial Intelligence](), [Frontier AI](), [anthropic](), [AI Models]() Tags: [ai](), [ai-infrastructure](), [ai-strategy](), [alignment](), [anthropic](), [developers](), [frontier-ai](), [google](), [job](), [meta](), [openai](), [safety](), [tech-careers]() ### AI overview The article examines Anthropic CEO Dario Amodei's proposal for frontier AI companies to provide embedded third-party evaluators with employee-like access. These evaluators would verify safety practices, report incidents, and assess AI models, training pipelines, and processes. ### Source excerpt The pace of frontier AI model development spurred Anthropic CEO Dario Amodei to publish an essay last weekend, calling for The post AI evaluator: The most important AI job in history? How developers might fill the proposed new job appeared first on The New Stack. ## Presentation: Lead Without a Ladder: How I Climbed Into Engineering Leadership DevFeed: [Presentation: Lead Without a Ladder: How I Climbed Into Engineering Leadership]() Original publisher: [Read original article]() Author: Pauline Jepp Published: 2026-09-15T09:10:00Z Content type: opinion Language: en Sources: [InfoQ]() Topics: [engineering-leadership](), [systems]() Tags: [alignment](), [careers](), [chief-engineer](), [culture-methods](), [engineering](), [engineering-leadership](), [infoq](), [leadership](), [mentorship](), [presentation](), [qcon-san-francisco-2025](), [qcon-software-development-conference](), [safety](), [team](), [transcripts](), [trust]() ### AI overview Pauline Jepp discusses how systems thinking, rock climbing, and flocking behaviors inform engineering leadership. She covers balancing team autonomy with alignment, supporting mentorship and other invisible work, and transitioning from hands-on engineering to leadership while maintaining organizational trust and psychological safety. ### Source excerpt Pauline Jepp explains how systems thinking, rock climbing, and flocking behaviors apply to engineering leadership. She shares strategies for balancing team autonomy with alignment, supporting invisible work like mentorship, and navigating transitions from hands-on engineer to engineering leader while maintaining organizational trust and psychological safety. By Pauline Jepp ## Jakub Pachocki Calls for Caution and Stronger Safeguards as AI Capabilities Advance DevFeed: [Jakub Pachocki Calls for Caution and Stronger Safeguards as AI Capabilities Advance]() Original publisher: [Read original article]() Published: 2026-09-06T09:00:00Z Content type: opinion Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [Machine Intelligence](), [Language models](), [OpenAI]() Tags: [ai](), [ai-research](), [alignment](), [language-models](), [machine-intelligence](), [openai](), [research](), [safety]() ### AI overview Jakub Pachocki reflects on the rapid growth of reasoning language models and the possibility of continued capability advances through recursive self-improvement. He urges extreme caution, stronger alignment and monitoring efforts, defensive systems, and broader international interventions. ### Source excerpt Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination. ## Why AI Transformations May Repeat the Failures of Earlier Digital and Agile Transformations DevFeed: [Why AI Transformations May Repeat the Failures of Earlier Digital and Agile Transformations]() Original publisher: [Read original article]() Author: David Pereira Published: 2026-08-27T14:03:51Z Content type: opinion Language: en Sources: [Untrapping Product Teams]() Topics: [Artificial Intelligence](), [Agile](), [digital]() Tags: [agile](), [ai](), [alignment](), [collaboration](), [culture](), [strategy](), [teams](), [transformation]() ### AI overview This opinion article argues that many AI transformation efforts may repeat the failures of earlier digital and Agile transformations. It attributes these failures to organizations neglecting foundational issues such as culture, strategy, alignment, collaboration, and clarity, and argues that AI can amplify existing confusion and organizational problems. ### Source excerpt Different approach, same outcomes. ## AI speeds up code writing, but coordination across distributed services remains a system-design challenge DevFeed: [AI speeds up code writing, but coordination across distributed services remains a system-design challenge]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-08-02T00:00:00Z Content type: opinion Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [Artificial Intelligence](), [distributed-systems](), [backends](), [Microservice](), [migration](), [OpenAPI Specification]() Tags: [ai](), [alignment](), [architecture](), [backend](), [distributed-systems](), [migration](), [openapi](), [services](), [system-design]() ### AI overview The article argues that AI assistants have accelerated implementation work while leaving coordination between teams and services largely unchanged. It presents ownership boundaries, contract stability, migration coordination, and failure semantics as central system-design concerns because failures often occur between otherwise correct components. ### Source excerpt AI made the write path fast and left the coordination path untouched, so failures now live in the gaps between services: two event schema versions across two regions, three teams, and one assumption that someone else handled the migration window. Alignment work, deciding ownership boundaries, contract stability, and failure semantics before anyone opens an IDE, is system design, and it produces concrete network cost when skipped. ## Meet FlexBox: The Powerful New Layout System for Compose DevFeed: [Meet FlexBox: The Powerful New Layout System for Compose]() Original publisher: [Read original article]() Author: Nav Singh Published: 2026-03-27T18:22:23Z Content type: article Language: en Sources: [Stories by Nav Singh πŸ‡¨πŸ‡¦ on Medium]() Topics: [Jetpack Compose](), [Compose](), [ui](), [CSS]() Tags: [3](), [adaptive](), [alignment](), [android](), [android-app-development](), [androiddev](), [api](), [code](), [compose](), [configuration](), [container](), [css](), [flexbox](), [introduction](), [jetpack-compose](), [layout](), [space](), [ui]() ### AI overview This tutorial introduces FlexBox, a new Jetpack Compose layout system inspired by CSS Flexbox. It explains how FlexBox arranges children dynamically and covers FlexBoxConfig parameters for direction, wrapping, alignment, spacing, and item distribution, along with Modifier.flex controls and code samples. ### Source excerpt Header image Jetpack Compose continues to evolve, and with the introduction of the new FlexBox layout, we finally have a powerful, flexible way to design adaptive UIs -- inspired by the CSS Flexbox model. https://developer.android.com/develop/ui/compose/layouts/adaptive/flexbox If you've ever used Row, Column, or FlowRowYou'll feel right at home. FlexBox acts as a superset, combining their capabilities while providing granular control over alignment, wrapping, and item distribution. Until now, we had to choose between rigid layouts (Row/Column) or more dynamic ones (FlowRow/FlowColumn). FlexBox merges the best of both worlds -- flexibility and simplicity. What Is FlexBox? Composable brings the concept of flexible layouts from the web into Jetpack Compose. Arranges its children dynamically, allowing them to grow, shrink, or wrap based on available space and configuration. Preview FlexBoxFlexBox APIπŸ— Building blocks and their roles.FlexBoxThe main composable responsible for arranging children.FlexBox( config = { direction(FlexDirection.Row) wrap(FlexWrap.Wrap) justifyContent(FlexJustifyContent.SpaceBetween) alignItems(FlexAlignItems.Center) gap(8.dp) }, modifier = Modifier .border(1.dp, Color.Black) ) { Text( "Item 1", Modifier .flex { grow(1f) } .background(color = randomColor()) .border(1.dp, Color.Black) ) Text( "Item 2", Modifier .flex { basis(80.dp) } .background(color = randomColor())) }Screenshot FlexBox SampleFlexBoxConfigConfigures the container's layout behavior -- direction, wrapping, justification, alignment, and spacing. Key parameters: direction: Controls the main axis (Row, Column). wrap: Determines if items flow onto new lines. Here we have 3 options: Wrap, NoWrap, WrapReverse justifyContent: Distributes space along the main axis(start, end, etc). alignItems: Defines how items align on the cross-axis(start, end, etc). alignContent: Controls how multiple lines are distributed along the cross-axis. This applies only when the wrap is FlexWrap.Wrap or FlexWr ## Revenue Operations for SaaS: The Complete RevOps Guide DevFeed: [Revenue Operations for SaaS: The Complete RevOps Guide]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-03-24T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [data](), [systems]() Tags: [alignment](), [churn](), [crm](), [efficiency](), [function](), [guide](), [lifecycle](), [metrics](), [process](), [revenue](), [saas](), [strategy](), [subscription](), [systems]() ### AI overview This guide explains how SaaS companies can use Revenue Operations to align marketing, sales, customer success, finance, data, tools, and processes across the customer lifecycle. It discusses subscription management, revenue leakage, failed payments, churn, retention, and expansion. ### Source excerpt Build a revenue operations function for your SaaS company. Covers RevOps pillars, tech stack, and how billing infrastructure drives revenue efficiency. ## Why Mentorship Matters? Beyond Tasks and Deadlines DevFeed: [Why Mentorship Matters? Beyond Tasks and Deadlines]() Original publisher: [Read original article]() Author: Gayatri Panganti Published: 2025-11-26T10:36:42Z Content type: article Language: en Sources: [Helpshift]() Topics: [Learning](), [meetings]() Tags: [alignment](), [async](), [communication](), [growth](), [growth-mindset](), [mentorship](), [organizational-culture](), [quality](), [team]() ### AI overview The article explains how mentorship supports skill growth, confidence, accountability, alignment between individual and team goals, and a culture of feedback. It recommends regular check-ins, clear goals, reflection, and flexible async communication during demanding project work. ### Source excerpt In every growing organisation, mentorship quietly powers progress. It's not just about reviewing work or assigning tasks but it's about helping people discover their potential, learn faster, and build confidence in their expertise. Strong mentorship programs help create a culture where learning is continuous, team alignment improves , and quality becomes a shared mindset rather than an individual effort. 🎯 Why Mentorship Is Important?1. Skill Growth Happens Faster Learning becomes faster and more meaningful with the right guidance. Mentorship helps bridge gaps that could otherwise take years to overcome whether it's technical depth, communication, or accountability. 2. Builds Confidence and Accountability When someone knows there's support and guidance available, they are more likely to take ownership, ask questions, and explore solutions without fear of failure. Mentorship creates a safe environment for experimentation and growth. 3. Aligns Individual and Team Goals Most of the times individual OKRs (Objectives and Key Results) often feel abstract until someone helps translate them into personal growth plans. Effective mentorship bridges that gap ensuring skill development aligns with both personal and organizational success metrics. 4. Encourages a Culture of Feedback Mentorship promotes open communication. Each session becomes an opportunity to exchange constructive feedback and insights. Over time, this fosters a culture of transparency and continuous improvement across the team. 🧭 What Effective Mentorship Looks Like A good mentorship rhythm involves consistent check-ins, clear goals, and space for reflection. Regular discussions/sync-ups on personal OKRs help mentees focus on targeted skill improvement. Weekly or biweekly meetings provide structure for reviewing progress and addressing blockers. During high-priority feature or project work, flexibility is key. Short async updates or quick syncs can keep the mentorship active without adding pressure. The intent ## Why We Designed Our Engineering Hiring Process The Way We Did DevFeed: [Why We Designed Our Engineering Hiring Process The Way We Did]() Original publisher: [Read original article]() Author: info@goteleport.com (Larry Warren) Published: 2025-08-25T00:00:00Z Content type: opinion Language: en Sources: [Teleport]() Topics: [Job](), [GitHub](), [zoom]() Tags: [alignment](), [engineering](), [github](), [hiring](), [interview](), [process](), [teamwork](), [zoom]() ### AI overview Teleport explains its transparent, challenge-based engineering hiring process, including recruiter and hiring-manager calls, a technical challenge, and opportunities for candidates to assess long-term cultural and role alignment. ### Source excerpt Discover why Teleport designed a transparent, challenge-based engineering hiring process that reflects our culture, values, and real-world teamwork. ## ΠžΡ‚ ΠΌΠΎΠ·Π³Π° ΠΊ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½Ρ‹ΠΌ систСмам: ΠΊΠ°ΠΊ устроСны Foundation Agents Π½ΠΎΠ²ΠΎΠ³ΠΎ поколСния DevFeed: [ΠžΡ‚ ΠΌΠΎΠ·Π³Π° ΠΊ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½Ρ‹ΠΌ систСмам: ΠΊΠ°ΠΊ устроСны Foundation Agents Π½ΠΎΠ²ΠΎΠ³ΠΎ поколСния]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2025-07-24T21:44:07Z Content type: article Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Artificial Intelligence](), [Large Language Model]() Tags: [agents](), [ai](), [alignment](), [deep-learning](), [jailbreak](), [large-language-models](), [llm](), [machine-learning](), [multi-agent-systems](), [prompt-engineering](), [prompt-injection](), [rag](), [reasoning](), [reinforcement-learning](), [safety](), [tag-b0a411324cb6](), [tag-b6914c0b0244]() ### AI overview This Russian-language analytical article explains the concept of Foundation Agents based on the research paper "Advances and Challenges in Foundation Agents." It discusses brain-inspired agent architecture, cognition, learning, reasoning, memory, world models, rewards, perception, action, self-improvement, multi-agent collaboration, and agent safety issues including jailbreaks, prompt injection, hallucinations, misalignment, poisoning attacks, and privacy. ### Source excerpt АналитичСский Ρ†Π΅Π½Ρ‚Ρ€ red_mad_robot Ρ€Π°Π·ΠΎΠ±Ρ€Π°Π» ΠΎΠ±ΡŠΡ‘ΠΌΠ½ΡƒΡŽ Π½Π°ΡƒΡ‡Π½ΡƒΡŽ ΡΡ‚Π°Ρ‚ΡŒΡŽ "Advances and Challenges in Foundation Agents" ΠΎΡ‚ Π³Ρ€ΡƒΠΏΠΏΡ‹ исслСдоватСлСй AI ΠΈΠ· ΠΏΠ΅Ρ€Π΅Π΄ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… унивСрситСтов ΠΈ тСхнологичСских ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ. Π Π°Π±ΠΎΡ‚Π° ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Π΅Ρ‚ Π½ΠΎΠ²Ρ‹ΠΉ взгляд Π½Π° Ρ‚Π΅ΠΊΡƒΡ‰Π΅Π΅ состояниС ΠΈ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ "ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… Π°Π³Π΅Π½Ρ‚ΠΎΠ²", ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π°Π΄Π°ΠΏΡ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΡΡ ΠΊ мноТСству Π·Π°Π΄Π°Ρ‡ ΠΈ контСкстов. РассказываСм, ΠΊΠ°ΠΊΠΈΠ΅ ΠΈΠ΄Π΅ΠΈ Π»Π΅ΠΆΠ°Ρ‚ Π² основС Foundation Agents, с ΠΊΠ°ΠΊΠΈΠΌΠΈ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ прСдстоит ΡΡ‚ΠΎΠ»ΠΊΠ½ΡƒΡ‚ΡŒΡΡ, ΠΈ Ρ‡Ρ‚ΠΎ ΠΆΠ΄Ρ‘Ρ‚ нас Π² Π±ΡƒΠ΄ΡƒΡ‰Π΅ΠΌ. Π§ΠΈΡ‚Π°Ρ‚ΡŒ Π΄Π°Π»Π΅Π΅ ## Π’ΠΎΠΏΠΎΠ²Ρ‹Π΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π½Π° ICLR 2025 DevFeed: [Π’ΠΎΠΏΠΎΠ²Ρ‹Π΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π½Π° ICLR 2025]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2025-05-20T17:20:00Z Content type: article Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Large Language Model](), [Language models](), [Machine Intelligence](), [Learning](), [Jailbreak]() Tags: [2025](), [ai](), [alignment](), [china](), [conference](), [dpo](), [iclr](), [language-models](), [llm](), [ml](), [safety](), [science](), [tag-fa773991fb10](), [university]() ### AI overview This Russian-language article reviews highly rated papers from ICLR 2025 on artificial intelligence and machine learning. It discusses deepening safety alignment to improve resistance to jailbreak attacks, findings about SFT and DPO fine-tuning dynamics, and AlphaEdit, a method for targeted knowledge editing in large language models. ### Source excerpt АналитичСский Ρ†Π΅Π½Ρ‚Ρ€ red_mad_robot ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠ°Π΅Ρ‚ ΠΎΠ±ΠΎΠ·Ρ€Π΅Π²Π°Ρ‚ΡŒ Ρ‚ΠΎΠΏΠΎΠ²Ρ‹Π΅ тСхнологичСскиС ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ. Π’ этот Ρ€Π°Π· ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΈΠ»ΠΈ для вас инсайты с ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠ΅ΠΉ Π² Π‘ΠΈΠ½Π³Π°ΠΏΡƒΡ€Π΅ International Conference on Learning Representations (ICLR), посвящённой искусствСнному ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚Ρƒ ΠΈ ΠΌΠ°ΡˆΠΈΠ½Π½ΠΎΠΌΡƒ ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΡŽ. На ICLR 2025 ΠΈΠ· Π±ΠΎΠ»Π΅Π΅ 3 тыс. Ρ€Π°Π±ΠΎΡ‚ Π½Π°ΠΈΠ²Ρ‹ΡΡˆΠΈΠ΅ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ»ΠΈ 36 статСй, ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Ρ‚Ρ€ΠΈ Π±Ρ‹Π»ΠΈ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ ΠΊΠ°ΠΊ "outstanding papers". Π Π°Π·Π±Π΅Ρ€Ρ‘ΠΌ Π²Ρ‹Π΄Π°ΡŽΡ‰ΠΈΠ΅ΡΡ, достойныС упоминания ΠΈ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ²ΡˆΠΈΠ΅ высокиС ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ€Π°Π±ΠΎΡ‚Ρ‹ этого Π³ΠΎΠ΄Π°. Π§ΠΈΡ‚Π°Ρ‚ΡŒ Π΄Π°Π»Π΅Π΅ ## AI 2027 report: possible scenarios for AI development from 2025 to 2030 DevFeed: [AI 2027 report: possible scenarios for AI development from 2025 to 2030]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2025-04-09T18:08:19Z Content type: article Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Artificial Intelligence](), [OpenAI]() Tags: [agent](), [ai](), [ai-agent](), [alignment](), [tag-258f045bd37f](), [tag-4e7487fdecca](), [tag-61cd5a476b1d]() ### AI overview The article presents an adapted translation of the AI 2027 report, which outlines possible AI development scenarios from 2025 to 2030. It discusses potential effects on the economy, labor, cybersecurity, politics, science, and AI alignment, while emphasizing that the report is a forecast rather than a prophecy. ### Source excerpt Команда стратСгичСских Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠΎΠ² red_mad_robot ΠΏΠ΅Ρ€Π΅Π²Π΅Π»Π° ΠΈ Π°Π΄Π°ΠΏΡ‚ΠΈΡ€ΠΎΠ²Π°Π»Π° ΠΎΡ‚Ρ‡Ρ‘Ρ‚ AI 2027 ΠΎΡ‚ Π³Ρ€ΡƒΠΏΠΏΡ‹ амСриканских Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠΎΠ² с Π°ΠΌΠ±ΠΈΡ†ΠΈΠΎΠ·Π½Ρ‹ΠΌ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ развития ИИ. ΠœΡ‹ сохранили всС ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Π΅ ΠΌΠΎΠΌΠ΅Π½Ρ‚Ρ‹ ΠΈ Π°ΠΊΡ†Π΅Π½Ρ‚Ρ‹ Π² ΠΎΡ‚Ρ‡Ρ‘Ρ‚Π΅, Ρ‡Ρ‚ΠΎΠ±Ρ‹ Π²Π°ΠΌ Π½Π΅ ΠΏΡ€ΠΈΡˆΠ»ΠΎΡΡŒ Ρ€Π°Π·Π±ΠΈΡ€Π°Ρ‚ΡŒΡΡ Π² дСсятках англоязычных источников, ΠΈ ΠΏΡ€ΠΈ этом ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ»ΠΎΡΡŒ ΠΏΠΎΠ΄ΡƒΠΌΠ°Ρ‚ΡŒ ΠΎ Π±ΡƒΠ΄ΡƒΡ‰Π΅ΠΌ ИИ, нашСм мСстС Π² Π½Ρ‘ΠΌ ΠΈ ΠΎ Ρ‚ΠΎΠΌ, насколько ΠΌΡ‹ Π³ΠΎΡ‚ΠΎΠ²Ρ‹ ΠΊ ΠΌΠΈΡ€Ρƒ, Π³Π΄Π΅ ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ большС Π½Π΅ ΠΏΡ€ΠΈΠ½Π°Π΄Π»Π΅ΠΆΠΈΡ‚ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΡƒ. Π§ΠΈΡ‚Π°Ρ‚ΡŒ Π΄Π°Π»Π΅Π΅ ## Optimizing Memory Layout in Go: A Deep Dive into Struct Design DevFeed: [Optimizing Memory Layout in Go: A Deep Dive into Struct Design]() Original publisher: [Read original article]() Author: ratneshmaurya2311@gmail.com (Ratnesh Maurya) Published: 2025-01-10T00:00:00Z Content type: tutorial Language: en Sources: [Ratn Labs]() Topics: [Go Language](), [ordering]() Tags: [alignment](), [backend](), [benchmarks](), [deep-dive](), [design](), [go](), [go-backend-system-design](), [golang](), [memory](), [optimizing](), [padding](), [practical](), [system-design](), [tools]() ### AI overview This article explains how Go struct field ordering affects memory usage through alignment and padding. It includes benchmarks across millions of allocations and practical tools for identifying wasted space. ### Source excerpt How Go struct field ordering affects memory via alignment and padding, with benchmarks across millions of allocations and practical tools to detect wasted space. ## The Alignment Trap: AI Safety as Path to Power DevFeed: [The Alignment Trap: AI Safety as Path to Power]() Original publisher: [Read original article]() Published: 2024-10-27T12:25:00Z Content type: opinion Language: en Sources: [Thomas Young]() Topics: [Artificial Intelligence](), [ai safety](), [Responsibility & Safety](), [trust]() Tags: [ai](), [ai-safety](), [alignment](), [networks](), [process](), [safety](), [surveillance](), [systems](), [trust]() ### AI overview The article argues that AI safety measures designed to make systems controllable and aligned with human values could also give governments, corporations, or other powerful organizations more effective tools for concentrating power. It compares AI-enabled control with historical limits on dictatorship, including unreliable loyalty, information distortion, cognitive constraints, and administrative friction. ### Source excerpt Recent discussions about artificial intelligence safety have focused heavily on ensuring AI systems remain under human control. While this goal seems laudable on its surface, we should carefully examine whether some proposed safety measures could paradoxically enable rather than prevent dangerous concentrations of power. The Control Paradox The fundamental tension lies in how we define "safety." Many current approaches to AI safety focus on making AI systems more controllable and aligned with human values. But this raises a critical question: controllable by whom, and aligned with whose values? When we develop mechanisms to control AI systems, we are essentially creating tools that could be used by any sufficiently powerful entity - whether that's a government, corporation, or other organization. The very features that make an AI system "safe" in terms of human control could make it a more effective instrument of power consolidation. Natural Limits on Human Power Historical examples reveal how human nature itself acts as a brake on totalitarian control. Even the most powerful dictatorships have faced inherent limitations that AI-enhanced systems might easily overcome: The Trust Problem: Stalin's paranoia about potential rivals wasn't irrational - it reflected the real difficulty of ensuring absolute loyalty from human subordinates. Every dictator faces this fundamental challenge: they can never be entirely certain of their underlings' true thoughts and loyalties. Information Flow: The East German Stasi, despite maintaining one of history's most extensive surveillance networks, still relied on human informants who could be unreliable, make mistakes, or even switch allegiances. Human networks inherently leak and distort information. Cognitive Limitations: Hitler's micromanagement of military operations often led to strategic blunders because no human can effectively process and control complex operations at scale. Human dictators must delegate, creating opportunities ## 11 Aspects Most Startups Get Wrong About OKRs and How to Fix it DevFeed: [11 Aspects Most Startups Get Wrong About OKRs and How to Fix it]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2024-02-24T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [Framework](), [Tool](), [implementation](), [Google](), [intel]() Tags: [alignment](), [andy-grove](), [article](), [engineering-leadership-goal-setting-leadership-product-management-engineering-excellence](), [focus](), [framework](), [google](), [growth](), [intel](), [mistakes](), [objectives](), [organization](), [progress](), [startups](), [tool]() ### AI overview This article explains what OKRs are, defines objectives, key results, and initiatives, and discusses why startups may implement OKRs unsuccessfully. It recommends first identifying the problems an organization wants to solve and adjusting the approach to fit its needs. ### Source excerpt 11 Aspects Most Startups Get Wrong About OKRs and How to Fix it Objectives and key results (OKRs) can be a powerful tool. But as with any framework or methodology out there, just applying it as others do will likely not yield the best results. It can even harm your organization. ## Jetpack Compose Clip or Cut a Composable with Custom Image Shape DevFeed: [Jetpack Compose Clip or Cut a Composable with Custom Image Shape]() Original publisher: [Read original article]() Author: Ban Markovic Published: 2024-02-14T17:25:40Z Content type: tutorial Language: en Sources: [Stories by Ban Markovic on Medium]() Topics: [Jetpack Compose](), [Compose](), [Android](), [ui](), [Graphics]() Tags: [alignment](), [android](), [android-app-development](), [androiddev](), [building](), [component](), [compose](), [compose-ui](), [customization](), [extend](), [images](), [jetpack-compose](), [kotlin](), [layout](), [merge](), [ui]() ### AI overview A tutorial showing how to clip a Jetpack Compose composable to a custom image shape. It builds a health-bar example, then uses PorterDuff operators and Modifier.drawWithContent to combine the image shape with colored content. ### Source excerpt As an Android developer, I face all sorts of challenges provided to me by my fellow designers. One of them was actually building an UI component that has a custom shape in a form of an image. This was required because we wanted to display a special type of a progress bar by fulfilling the image shape with gradient. Because I didn't find this functionality trivial to implement, I decided to show how I solved this issue with some fun example. Example Here is a simple game where I utilized cutting of my composable. The game consists of one plane with full health. Upon each hit, it looses 10% of its health. Game is over once the plane remains with no health. Game Setup First, let me show you how I formed the basic layout for this game. It will contain the gray square and Hit button. Column( modifier = Modifier.fillMaxSize().background(Color.Black), verticalArrangement = Arrangement.Center, horizontalAlignment = Alignment.CenterHorizontally ) { Box( modifier = Modifier .size(240.dp) .background(Color.LightGray) ) Spacer(modifier = Modifier.height(40.dp)) Button( onClick = { /* TODO */ } ) { Text("HIT") } } Next step, is to create custom Composable called SquareHealth. SquareHealth is expecting the progress value (from 0.0 to 1.0). This will determine the height of the green area inside my gray square (aligned at bottom). It will represent remaining health for my Square. @Composable fun SquareHealth(healthPercentage: Float) { Box( modifier = Modifier .size(240.dp) .background(Color.LightGray) ) { Box( modifier = Modifier .fillMaxWidth() .height((240 * healthPercentage).dp) .background(Color.Green) .align(Alignment.BottomCenter) ) } } Now, I can call it instead of the static gray Box inside my screen. The basic layout is now set, and I just need to set initial health progress to 1.0, and enable my button to decrease the health percentage by 0.1 on each click. var healthPercentage by remember { mutableStateOf(1.0f) } Column( modifier = Modifier .fillMaxSize() .background(Co ## How our biggest redesign yet came to be DevFeed: [How our biggest redesign yet came to be]() Original publisher: [Read original article]() Author: lcarmen2 Published: 2023-10-25T21:24:48Z Content type: opinion Language: en Sources: [Slack Design]() Topics: [Slack](), [ui](), [Messaging]() Tags: [alignment](), [design](), [design-engineering](), [engineering](), [navigation](), [prototype](), [team](), [ui](), [what-we-do]() ### AI overview Slack describes how its design team developed and operationalized a major product redesign as the company expanded beyond messaging. The process used exploratory prototypes, early collaboration with engineering and product leaders, stakeholder alignment, and a hub-and-spoke team structure. ### Source excerpt The timing was right. We were adding in new features like huddles, canvases, lists, and others into a UI system that was originally designed solely for messaging capabilities. Meanwhile, research showed users on the biggest and most active teams were struggling to stay on top of the basics. Our product navigation was reaching its limits. [...] The post How our biggest redesign yet came to be appeared first on Slack Design. ## The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4) DevFeed: [The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4)]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-05-27T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [decision-making](), [integrity](), [trust]() Tags: [alignment](), [collaboration](), [culture](), [culture-high-purpose-environments-engineering-excellence-organizational-design](), [decision-making](), [distributed](), [efficiency](), [integrity](), [ownership](), [supervision](), [trust](), [values](), [work]() ### AI overview This article explains how organizational values and guiding principles can support distributed decision-making. It argues that practical principles help employees make autonomous decisions aligned with the organization's vision and mission, reducing lengthy discussions and top-down approvals. ### Source excerpt The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4) Values and guiding principles are crucial in enabling distributed decision-making within an organization. They empower individuals to make decisions autonomously, without constant supervision or hierarchical approval. This leads to increased efficiency and agility and fosters a sense of ownership and responsibility among team members. ## Compose Row, Column and Scoped Modifiers DevFeed: [Compose Row, Column and Scoped Modifiers]() Original publisher: [Read original article]() Author: James Shvarts Published: 2022-03-29T02:48:35Z Content type: tutorial Language: en Sources: [Android Blog - Mobile Dev Notes]() Topics: [Compose](), [ui](), [Code]() Tags: [alignment](), [code](), [compose](), [function](), [lambda](), [layout](), [receiver](), [space](), [ui]() ### AI overview This tutorial explains how to build layouts in Jetpack Compose with Row and Column composables. It covers horizontal and vertical arrangement, alignment, scoped modifiers through RowScope and ColumnScope, modifier chaining, and scoping composables. ### Source excerpt Explore the power of Row and Column composables and their respective RowScope and ColumnScope modifiers to layout child composables ## What is it like to interview with Apollo? (part 1 of 2) DevFeed: [What is it like to interview with Apollo? (part 1 of 2)]() Original publisher: [Read original article]() Author: Chris Shaw Published: 2021-08-13T14:19:33Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [consistency]() Tags: [alignment](), [fairness](), [hiring](), [interview](), [interviewing](), [interviews](), [job](), [life-at-apollo](), [onboarding](), [process](), [recruiting](), [skills]() ### AI overview Apollo's first article about its interview process explains how the company prepares interviewers and candidates, defines roles through missions, outcomes, and competencies, and designs interviews for consistency and fairness. ### Source excerpt We've all been there. You're interviewing for a company that has a job you're very interested in. But you have no idea what to expect in the interview process. You're wondering; what will this process actually be like? How much time will it take? Should I prepare? How much should I prepare? Will I get a chance to ask my questions so I can learn more about the company? ## Amateur SARS/2019-NCoV RNA Comparison DevFeed: [Amateur SARS/2019-NCoV RNA Comparison]() Original publisher: [Read original article]() Published: 2020-01-24T12:42:01Z Content type: article Language: en Sources: [Bert Hubert's writings]() Topics: [Algorithms, Complexity](), [Computing](), [JavaScript]() Tags: [algorithm](), [algorithms](), [alignment](), [comparison](), [computing](), [covid-19](), [dna](), [javascript]() ### AI overview A rough comparison of the reported SARS and 2019-nCoV genomes using the Needleman-Wunsch alignment algorithm. The author says the amateur comparison found about 80% identity, while noting that this result does not establish what the similarity means. ### Source excerpt Here is a rough comparison between the reported genomes of SARS and 2019-nCoV ("Wuhan virus"). This is the output of an old but still interesting 'alignment' algorithm called Needleman-Wunsch. In the world of computing we use 'diff' for this purpose, DNA has some specific aspects which are incorporated into the alignment algorithms. Many years ago I wrote a JavaScript demonstration of this algorithm, which can be found here. ## Automatically align Dependencies with Platforms and Gradle Module Metadata DevFeed: [Automatically align Dependencies with Platforms and Gradle Module Metadata]() Original publisher: [Read original article]() Author: Jendrik Johannes Published: 2019-11-25T05:00:00Z Content type: article Language: en Sources: [The Gradle Blog]() Topics: [Gradle](), [Dependency management](), [Jackson](), [Library](), [Graphs]() Tags: [alignment](), [dependencies](), [dependency](), [dependency-management](), [gradle](), [graph](), [jackson](), [jvm](), [libraries](), [library](), [module](), [platforms]() ### AI overview This Gradle article explains how dependency conflicts can produce inconsistent versions across related library modules. Using Jackson as an example, it describes how Gradle Module Metadata and platforms can express alignment information so that modules are upgraded together, while noting the limitations and maintenance costs of relying on BOMs alone. ### Source excerpt This blogpost has been updated to reflect that Jackson started to published Gradle Module Metadata with version 2.12.0 using the recommendations from this post. In the previous post about dependency management with Gradle 6, we saw that growing builds can quickly end up in dependency hell. Unexpected results become particularly hard to analyze if they are introduced at the bottom of the dependency graph and propagate up through transitive dependencies. It is unfortunate that some of these issues could be avoided if the authors of libraries, which form the bottom of the dependency graph, had the means to express all the knowledge about the versioning of said libraries in the libraries' metadata. A typical example of such a library is the widely used JVM utility library Jackson. If several components of the library are part of the dependency graph, alignment of versions can be an issue. The Jackson library is made up of only three core modules: jackson-annotations, jackson-core and jackson-databind. Still, it is easily possible to end up in a situation where a higher version is selected for jackson-core than for jackson-databind. This situation is illustrated in the following example, where the two modules end up having different versions: jackson-core:2.9.2 and jackson-databind:2.8.9. In the example, which you can explore as a build scan, one transitive dependency (tika-parsers) upgraded jackson-core to 2.9.2 as Gradle resolves the conflict between 2.8.9 and 2.9.2 to the higher version. jackson-databind however, added via another dependency (keycloak-core), is kept on 2.8.9 as the information that it should be aligned, i.e. upgraded together, with jackson-core is missing. BOMs are great, but we don't use them (enough) The situation we face in this scenario is that the Jackson modules' versions should be aligned, but that information is not published due to limitations of the pom metadata format. What Jackson is publishing is a BOM (bill of materials), a pom.xml conta [Next page]()