Latest explainers · 14

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№ 1216
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Source · Weaviate

What context engineering actually engineers

Weaviate maps the field with six core capabilities. The real thread running through all of them is deciding, at each step, what information gets into the model, what state stays outside, and who executes next.

Context engineeringAI agents08-27 · 11 min read
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Deep dive
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DEEP DIVE
Source · Five essays on taste and making⚑ Research

AI Makes Execution and Average Answers Cheap—Taste Now Sets the Ceiling. How Do You Improve Your Taste?

As AI makes "getting it done" easier than ever, the truly scarce skills are recognizing quality, rejecting default outputs, tolerating rework, and pushing through to a higher standard.

TasteAI creativity▶ Play08-27 · 18 min read
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Deep dive
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DEEP DIVE
Source · Grok Bot Team Workshop with Lauren Tan

How a 24/7 agent team takes shape: SpaceXAI engineer Lauren Tan builds engineering judgment into the system

Behind a night that auto-merged 20 PRs lie more than 600 refactoring PRs. Lauren Tan shows how architecture, CI, verification skills, and tiered delegation come together to form a team of agents that keeps working.

AI AgentCursor08-27 · 16 min read
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Research analysis
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RESEARCH
Source · Distillation Scaling Laws⚑ Research

Apple team publishes distillation scaling laws: making AI models smaller is no longer a matter of luck

The paper puts teacher quality, student size, training data, and teacher cost on one budget map: stronger teachers are not always better, and distillation is not always more compute-efficient than training the student directly.

Knowledge distillationScaling laws▶ Play08-27 · 14 min read
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Research analysis
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RESEARCH
Source · OpenAI

OpenAI's first inference chip delivers: why Jalapeño boosts both speed and efficiency

Three public models, four sets of easily misread multipliers, and a full-stack approach that designs chip, memory, network, and software backward from the model workload.

OpenAIJalapeño08-27 · 12 min read
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Tool tutorial
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PRACTICE
Source · freeCodeCamp · Gayathri Bolineni

Hands-on conversational AI testing: Build a QA system in eight steps

Start with a wrong answer marked correct, a dangerous reply that slips through, and a fake API success. Then follow a single account recovery case study to walk through eight steps covering behavior contracts, state, evidence, recovery, regression, and release gates.

Conversational AISoftware testing08-26 · 28 min read
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Deep Dive
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DEEP DIVE
Source · MIT Technology Review

How one high school is using red, yellow, and green lights to guide smarter AI use in class

A U.S. high school has built a classroom AI policy that combines teacher training, assignment permissions, student judgment exercises, and human review. This article breaks down how it works, and offers a three-color assignment card, classroom exercises, a teacher checklist, and a pilot plan for schools.

AI in EducationClassroom Governance▶ Play08-25 · 14 min read
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Deep dive
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Source · Matthew Berman × Thibault “Tibo” Sottiaux

Codex lead Tibo, the “God of Resets”: Codex is only a transitional form—the real race is expanding from individual models to entire systems

Codex lead Tibo lays out a roadmap that matters more than model upgrades: fold Skills, memory, sub-agents, tools, and compute management back into the system, and let the same AI actively adapt to each person.

OpenAICodex08-25 · 13 min read
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Deep dive
№ 1208
DEEP DIVE
Source · Claude by Anthropic

Anthropic's guide to an AI-native software development lifecycle

Writing code is no longer the main bottleneck. Requirements, testing, review, and operations are what slow delivery down now. Anthropic's approach leans on structured artifacts to keep agents moving in sequence, with the system validating first and humans stepping in only at the critical gates.

AnthropicClaude Code08-25 · 14 min read
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Deep Dive
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DEEP DIVE
Source · Chill Interview

Anthropic FDE Interview Guide: Why the Company Is Spending Big on a New Class of On-Site Engineers

This isn't a hire for someone who can write clever prompts. It's a search for people who can get model capabilities, customer workflows, and safety boundaries all the way into production systems.

AnthropicFDE08-24 · 20 min read
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Research explainer
🎧№ 1206
RESEARCH
Source · Bain & Company

Why most CEOs' AI efforts are just 'fake progress': The seven decisions that determine real enterprise AI transformation

Most companies run plenty of AI pilots, but they never change an end-to-end business process, and they never turn a one-off win into a capability they can reuse next time. The dividing line is whether the company ends up with its own data, its own ways of working, and its own record of what it has learned.

Enterprise AIAI agents▶ Play08-23 · 18 min read
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Deep dive
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DEEP DIVE
Source · m-c-tech / laserphile⚑ Research

AliExpress uses spy-tech-style tricks to track shoppers

A Bluetooth headphone glitch reveals how the site runs inaudible audio, harvests device details, and builds a fingerprint in the background.

AliExpressbrowser fingerprinting08-23 · 5 min read
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Deep dive
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DEEP DIVE
Source · MTS × Martin Casado

A High-Value 40-Minute Interview with a16z Infrastructure Investing Lead Martin Casado: AI Is the First Technology Where $10 Reliably Produces a Return

Capital used to turn into engineers and a two-year wait. With AI, $10 more directly becomes training, tokens, usage, or targeted capabilities. Profit still isn't guaranteed, but the dynamics are rewriting private markets, model competition, marketing, and product value.

AIModel economics08-22 · 22 min read
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Research analysis
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RESEARCH
Source · Simon Willison / Promptwatch⚑ Research

ChatGPT Search’s underlying retrieval just changed: ChatGPT is now doing large-scale, targeted site scraping that upends GEO strategy

A single answer is no longer just a broad sweep of the web. ChatGPT may now discover candidate sources first, then lock onto specific sites to dig deeper. As the retrieval order shifts, GEO expands from page-level ranking into a three-layer contest: domain inclusion, page matching, and citation conversion.

ChatGPT SearchGEO08-22 · 11 min read
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AI Industry
🎧№ 1202
DEEP DIVE
Source · a16z Charts of the Week⚑ Research

AI is no longer just a software story: 17 charts on how capital, work, and compute are shifting tracks

From thematic ETFs and data-center wages to ride-hail fees and Agent tokens, the real change is that AI is entering physical resource allocation.

AI AgentData Centers▶ Play08-22 · 14 min read
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Deep Dive
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DEEP DIVE
Source · Andreessen Horowitz

The new era of global expansion: the rise of borderless founders. Nearly half of a16z's app investments in the past two years came from international founders.

Companies no longer need to cram talent, R&D, capital, and customers into a single country. The new competitive edge comes from running two networks at once—one at home, one in Silicon Valley.

a16zAI startups▶ Play08-22 · 14 min read
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Deep dive
🎧№ 1200
DEEP DIVE
Source · Claude by Anthropic

Claude Code for startups: 15 companies, 5 rules, and a roll-out checklist

Anthropic looks back at 15 high-growth startups. Open the case files to see how agentic coding moved into prototyping, R&D, validation, rebuilds, and productization.

Claude CodeStartup teams▶ Play08-21 · 18 min read
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Product launch
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Source · Anthropic / Claude⚑ Research

Anthropic launches Claude Academy, turning its internal AI training into a public learning platform

Claude Academy opens up Anthropic's internal playbook: four core habits from day one, continuous practice on the job, and a risk-based approach to verification and accountability.

AnthropicClaude Academy08-21 · 12 min read