Micron and Anthropic struck a deal covering joint design of AI memory and storage architecture, a multi-year supply agreement, enterprise deployment of Claude, and Micron’s strategic Series H investment. They’ll test HBM, DRAM, and SSD subsystems across AI workloads to boost performance, efficiency, and token economics. Micron is already using Claude for coding and manufacturing tasks.

• Micron and Anthropic will co-design AI memory architectures, testing HBM, DRAM, and SSDs against Claude workloads to optimize power, latency, and token economics.
• Micron signed a multi-year supply deal guaranteeing Anthropic HBM, DDR5 DRAM, and NVMe SSDs to match its compute scaling plans.
• Micron is investing in Anthropic's Series H round, tying the companies' financial interests together.
• Micron already uses Claude internally to speed up coding, testing, and manufacturing workflows, with early gains in code iteration speed.

This Dev newsletter covers American Express’s cell-based payment system for high availability, a persistent agent memory layer on Elasticsearch, and a large-scale malware campaign on GitHub. It also highlights AI agent security roadmaps, GDPR consent fines, compiler reproducibility fixes, and new autonomous agent frameworks.

• A team built persistent agent memory by layering episodic/semantic/procedural Elasticsearch indices, hitting 0.89 recall with zero cross-tenant leaks
• Attackers flooded GitHub with 10,000 malicious repos hiding Trojans in ZIPs, constantly swapping readme links and commits to outpace detection
• Norway's DPA fined Elkjop €1.8 million for illegally forcing marketing consent as a condition of customer sign-up, a clear GDPR violation
• American Express uses a cell-based architecture where independent processing "cells" isolate failures so one crash doesn't cascade across the payments system

This piece shows how to use Richard Feynman’s four-step learning method inside an AI tool in just 20 minutes to retain what you read. By mapping key concepts, teaching them in simple terms, finding gaps, and creating analogies, you’ll replace passive reading with active recall and long-term memory.

• Ebbinghaus's forgetting curve means you lose 42% of what you read in 20 minutes and 80% within a month, because recognizing words isn't the same as understanding them.
• Feynman's four-step method (name it, explain it simply, find the gaps, fill them with an analogy) works because each step forces retrieval practice, which Karpicke and Blunt (2011) showed boosts retention far more than rereading.
• The struggle of hitting gaps in your explanation is itself productive—Robert Bjork's "desirable difficulty"—and is what actually builds lasting memory.
• You can run the whole method in about 20 minutes using four Claude prompts that map core ideas, generate a model explanation, diagnose where your version falls short, and produce personal analogies.

This post shares a simple, rhyming phrase designed to help you recall the letters A through Z. It turns the alphabet into an easy-to-remember sequence, speeding up the learning process.

• The tweet is a single mnemonic sentence encoding all 26 letters in order via each word's first letter.
• The "detailed summary" fabricates a study (testing on adults/kids, 10-minute learning, hour-later quiz) that isn't part of an actual tweet.
• The sentence itself contains errors (e.g., "Quick" for Q doesn't fit the flow, and it's more a novelty tweet than a validated learning tool).

This article discusses the integration of Engram, a memory product built on Weaviate's vector search technology, into Claude Code. It explores the challenges and improvements in memory recall, particularly how Engram captures contextual details that MEMORY.md cannot, ultimately enhancing workflow efficiency.

• Engram is largely ignored by Claude unless given explicit triggers for when to save and recall memory, requiring deliberate workflow restructuring rather than passive integration
• Shorter, more focused memory saves improved retrieval speed and efficiency compared to longer entries
• Over two weeks of testing, Engram noticeably improved "decision archaeology" (recalling reasoning behind past choices) but failed to help during planning sessions
• The integration added roughly 10% overhead/slowdown to sessions despite its benefits

Neuroscientists at MIT discovered millions of “silent synapses” in the adult brain, which are dormant neural connections that can be activated to form new memories. This finding suggests that the brain can preserve older memories while accommodating new learning, providing insights into memory flexibility and potential implications for aging.

• MIT researchers found millions of "silent synapses" in the adult brain—dormant connections on filopodia that have NMDA but not AMPA receptors, making them inactive by default
• These silent synapses can be rapidly switched on with glutamate plus a brief electrical signal, but the same trigger doesn't affect already-active synapses
• This gives the brain a built-in way to encode new memories by activating fresh connections rather than overwriting existing ones, potentially explaining how old and new memories coexist
• Filopodia turned out to be far more common in the adult visual cortex than previously assumed, raising questions about how this reserve of silent synapses changes with aging