Micron's Earnings Surge Signals Shift in AI Memory Stocks
Micron Technology surged after blockbuster earnings and strong guidance, lifting AI memory stocks.
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Micron Technology surged after blockbuster earnings and strong guidance, lifting AI memory stocks.
SK hynix Inc., the world’s largest supplier of HBM memory, today filed to list its stock on the Nasdaq. The South Korean company hopes to sell up to 17.79 million shares for $29.4 billion. The public offering is expected to be the second largest on record after the recent listing of SpaceX Corp., wh
Memory chip maker Micron Technology Inc. more than quadrupled its revenue growth in the most recent quarter as it continued to benefit from surging demand linked to the artificial intelligence industry. The company reported third-quarter earnings before certain costs such as stock compensation of $2
Micron Technology posted fiscal third-quarter revenue of nearly $42bn, quadrupling from just over $9bn a year earlier and beating Wall Street estimates by a wide margin. The results, reported on Tuesday, confirm that the company riding the AI memory boom hardest is the one whose stock has already cl
Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year.
The Problem Claude Desktop is incredibly capable. But it has one major limitation: Every new conversation starts with a blank slate. Your preferences? Gone. Your architecture decisions? Gone. Your project context? Gone. Your engineering philosophy? Gone. For example, you tell Claude: "I prefer Zusta
Your finance team tries an AI agent to help close the books. It has access to data. It seems capable. But the results are unsettling: sometimes it cites an accounting policy that expired last quarter, sometimes it mixes data from different legal entities, and sometimes it simply forgets it already a
We've all been there. You're working with an AI coding assistant, having a great conversation where it learns your project's architecture, your preferred patterns, the quirks of that legacy module. Then you close the session, open a new one, and it's like you've never met. Blank slate. Every. Single
I've been working on a Mac-native agent framework for about a year. One of the hardest problems: making the agent actually remember context across sessions in a way that's useful, not just "here's your last 10 messages." What I ended up with is a knowledge graph — entities (people, projects, tools,
Yet another Google Home update is now rolling out, bringing a Gemini-powered “Pet Memory” to Nest Cam owners, while also expanding on “Ask Home.” more…
The problem I kept hitting What I built The benchmark result How the architecture works The multi-agent namespace pattern task-abc.shared ← readable and writable by all agents def researcher(task, own_ns, shared_ns): def executor(task, own_ns, shared_ns): pipeline = MultiAgentPipeline( LangChain dro
I’m testing a small AI memory reliability checklist. The question is simple: When an AI agent reads project instructions, memory files, Cursor rules, or AGENTS.md I’m looking for 3 people who use Claude, Cursor, Codex, or custom agents and are willing redacted, non-sensitive instruction files. Examp
This is a submission for the GitHub Finish-Up-A-Thon Challenge. I published an AI memory result. Then I added real retrieval and everything broke. This is what I built after I went back and finished it. The AI Memory Judgment Demo is a public research framework for testing whether AI agent memory ca
This is a submission for the Hermes Agent Challenge: Write About Hermes Agent What if the biggest limitation in AI today isn't reasoning, model size, or context windows? What if it's memory? Every morning, millions of people open ChatGPT, Claude, Gemini, or another AI assistant and start a conversat
The .txt File as the Soul of a Personal AI — FileRAG Memory Architecture By Dharanidharan J (JD) Full Stack & AI Engineer | Building Jarvix Every chatbot tutorial teaches you the same thing: history = [] history.append({"role": "user", "content": message}) And that works — until it doesn't. After 50
Dynamic memory allocation in C is flexible, but it becomes a bottleneck in systems where objects are created and destroyed frequently. Repeated malloc/free calls can introduce overhead, fragmentation, and unpredictable latency. To avoid that, I built a small object pool in C89. The idea is simple: i
Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller
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On behalf of SIG Node, we are pleased to announce updates to the Memory QoS feature (alpha) in Kubernetes v1.36. Memory QoS uses the cgroup v2 memory controller to give the kernel better guidance on how to treat container memory. It was first introduced in v1.22 and updated in v1.27. In Kubernetes v