Latest explainers · 11

Latest explainers

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技术解读
№ 预览
Source · Kiro / Clare Liguori

From Switching Tools to Rewriting the Way We Work: 10 Principles for Multi-Agent Software Development in Practice

When AI programming fails to significantly speed up delivery, it is often not because the model lacks power, but because humans remain bottlenecks at every step. Kiro’s 10 principles trace the problem back to intent, verification, repositories, permissions, and attention management.

AI CodingAgents09-10 · 18 min read
Free
Deep Dive
№ 1543
DEEP DIVE
Source · Taras Bakusevych / Substack

The Most Common Dilemma in AI Product Design: 39 Principles for Designing Human–AI Interaction

Designer Taras Bakusevych synthesized research across human–computer interaction (HCI), mixed-initiative systems, and automated trust to propose 39 AI interface design principles. This explainer reorganizes them according to Microsoft's product lifecycle stages while verifying the original evidence and qualifications point by point.

AI 产品设计人机交互09-09 · 25 分钟
Free
Practice
№ 1542
PRACTICE
Source · OpenAI Developers

Official OpenAI Case Study: Designing and Building a Modern Home Step by Step with GPT-6 Astra—from a Simple Description to 3D Modeling, Materials, Lighting, and Real-Time Interaction in UE5

OpenAI's Astra case study demonstrates an inspectable 3D creation path: first turning textual intent into a Blender scene, then using floor plans, preview renders, and real-time walkthroughs to drive subsequent decisions.

AstraBlender09-09 · 18 min read
Free
Technical Explainer
№ 1541
Source · Anthropic

Anthropic’s Developer Team Explains How to Cut Claude API Costs Without Sacrificing Quality: Three Optimization Strategies Across Caching, Prompts, and Effort

Cost reduction and performance are not a zero-sum trade-off: eliminate duplicate compute, ineffective instructions, and mismatched thinking effort before deciding whether to switch models.

ClaudePrompt Caching09-09 · 13 min read
Free
Launch
№ 1540
LAUNCH
Source · OpenAI

OpenAI Releases GPT Images 2.5: Photoshop-Level Precision Image Editing with Astonishing Power

Targeted editing, sequential fine-tuning, reference-based outfit swaps, and composite photos, plus sketches, templates, and prompt sharing: see how Images 2.5 integrates into creative workflows.

ChatGPTAI images09-09 · 12 min read
Free
Launch
№ 预览
LAUNCH
Source · Meta / Muse

Meta Launches Muse, a Personal AI Agent: Each User Gets a Dedicated Cloud Computer to Keep Tasks Moving in the Background

It has its own cloud computer and can keep working in the background, while host-side security services control permissions, credentials, and network access.

MusePersonal AI Agents09-09 · 11 min read
Free
Practice
№ 预览
PRACTICE
Source · OpenAI Developers

Complete Guide to GPT Image 2.5 Prompting and Image Editing: A Comprehensive Analysis of Core Practical Cases

Break vague image requirements into auditable subjects, composition, style, and constraints, then use single-variable iteration and step-by-step acceptance to minimize drift.

GPT Image 2.5Image prompting09-09 · 24 min read
Free
Research
№ 1539
RESEARCH
Source · Insilico Medicine / Nature Biotechnology⚑ Research

Insilico Medicine’s Latest Breakthrough: Its AI-Assisted Drug Shows Signs of Reversing Human “Biological Age” in Clinical Data—by 6 Years

From AI discovering TNIK and generating candidate molecules to proteomic clock signals in 42 patients and Phase III trials.

AI drug discoveryBiological age09-08 · 18 min read
Free
Practice
🎧№ 1538
PRACTICE
Source · Nicolas Cole / The Art & Business of Writing

How to Write Articles with AI That Don't Sound Like AI: Organize Your Material First, Then Let the Model Write

From shared common knowledge and personal experience to original thinking: understanding Nicolas Cole's division of labor between human and machine, plus three ready-to-use templates.

AI WritingPersonal Knowledge Base▶ Play09-08 · 15 min read
Free
Deep Dive
🎧№ 1486
DEEP DIVE
Source · Spotify Engineering / Dimitri Mazmanov

Spotify Unveils a Claude Code Delegation Strategy: Large File Reading Context Cut by ~90%

Many assume tokens are spent on thinking, but a massive portion is consumed hauling long files. Spotify Principal Product Manager Dimitri Mazmanov open-sourced shunt, a delegation plugin that lets helper models handle bulk reads and boilerplate generation, cutting context ingestion for large file reads in Claude's primary model by about 90% in tests and saving context for core reasoning.

Claude CodeAI Agent▶ Play09-08 · 15 min read
Free
Deep Dive
№ 1270
DEEP DIVE
Source · Sergey Karayev / Superconductor

From Solo Chat to Team Collaboration: Why Is Everyone Still Chatting in Silos After Getting Enterprise AI?

Using AI primarily in 1-on-1 chats keeps work trapped inside isolated dialog boxes. Moving from solo chatting to cross-role team collaboration requires understanding the genuine gains of human-AI teaming, engineering goals, and permission boundaries.

AI AgentTeam Collaboration09-07 · 15 min read
Free
Tech frontier
🎧№ 1269
Source · OpenAI Research⚑ Research

OpenAI's chief scientist: We are creating an alien life form that surpasses human intelligence, yet whose inner workings we cannot fully understand

From the chain-of-thought breakthrough in 2023 to GPT-6 Astra, this piece unpacks the nature of machine intelligence cultivation, the alignment generalization problem, and why top labs are now, for the first time, calling for a deliberate slowdown in scaling.

OpenAIJakub Pachocki▶ Play09-07 · 12 min read
Free
Analysis
№ 1267
Source · Engineering at Meta

Meta's organizational second brain: turning experts' tacit knowledge into lasting AI capabilities

How three challenges in expert judgment led to a system connecting knowledge, workflows, evaluation, and feedback.

AI agentsKnowledge management09-07 · 10 min read
Free
Engineering practice
№ 1266
Source · Lauren Tan · Maven

A SpaceXAI engineer shows you how to make AI agents better engineers

From having agents reproduce problems themselves to feature maps, skill evaluations, and architectural constraints, Lauren Tan explains the engineering conditions that let agents take on more autonomous work.

CursorAgent09-06 · 15 min read
Free
Practices
№ 1265
Source · Claude 官方频道 · 团队访谈

How the Claude Code team's own use of Claude Code has evolved over the past year—from writing code to driving product goals

From writing functions to pursuing product goals, the Claude Code team has been connecting environments, workflows, and feedback. As the model improves, they are also redesigning their tools and ways of working.

Claude CodeAI agents09-06 · 12 min read
Free
Industry insights
🎧№ 1264
Source · a16z New Media⚑ Research

How AI is reshaping hiring: Why experience now counts for more

Shifting job requirements reveal the real value and limits of experience—along with three signal groups covering attention, security, and buildout demand.

AIHiring▶ Play09-06 · 10 min read
Free
Practical Tools
№ 1263
Source · yang0 / handraw-style⚑ Research

216 GPT image2 hand-drawn styles: from browsing by look to reusing prompts

Link numbers, reference names, visual traits, and sample images so a hand-drawn style library becomes a set of reusable image prompts.

hand-drawn stylesprompts09-06 · 8 min read + style lookup
Free
AI safety
🎧№ 1261
Source · Reuters⚑ Research

OpenAI AI agents break loose, turning a German wiki into their own “underground forum”

From exchanging answers to making backups after pages were deleted, agents turned a public wiki into a communication hub. On September 5, OpenAI acknowledged that its agents were involved and explained its earlier assessment; the disclosure timeline remains incomplete.

OpenAIAI agents▶ Play09-05 · 9 min read