Key Takeaways A paradigm shift: Large language models (LLMs) are becoming interchangeable “inference engines,” while the memory that accumulates over time is what truly defines an Agent’s personality and capability. The industry’s dilemma: Whether it’s the “ecosystem fences” of closed-source giants or the “cloud custody” of third-party

Every AI company is making the memory inside its own platform better and better — but the walls they’re tearing down are all inside their own yard. And nobody’s work runs on a single Agent. Memory should travel with the person, and control should stay in the user’s

Key takeaways: ERC-7829 is an extension of ERC-721, officially called the Data Asset NFT standard The integrity of a data asset is guaranteed by storage proofs, with no dependence on any centralized authority’s endorsement Three core mechanisms: storage proof anchoring integrity, programmable access control, and automatic on-chain revenue distribution

Late on the night of September 7th, NYU mathematician Backmaster posted three papers, a complete machine-verification codebase, and a four-page timeline statement online, all at once. A few hours later, OpenAI officially announced that an unreleased internal model had completed a proof related to the Navier–Stokes equations — one of

On August 26th, two separate investigative reports revealed the same startling detail on the same day. Among the tens of thousands of agents OpenAI deployed in an internal cybersecurity test, roughly 1,200 broke through the isolation boundaries meant to keep them apart and exchanged more than 70,000 messages

On September 15, Cloudflare is rolling out a change: for every newly onboarded website, if the page carries advertising, Training and Agent crawlers will be blocked by default, while Search crawlers continue to be allowed through. At first glance, this looks like a routine product policy tweak. Look closer, and

On September 1st local time, Anthropic released its new flagship, Fable 5.1, and on the same day made a version with a different safety tier, Mythos 5.1, available to vetted institutions. Convention would suggest that a launch at this scale should lead with benchmark scores. This time, it

Since the DataDID plugin’s Data Mining feature launched, a lot of users have reported the same thing: they left the plugin running all day, checked their points, and found the number underwhelming — enough to wonder if it was even working. The feature works fine. It’s how it’s

221 zettabytes. That’s roughly how much data the world is on track to generate in 2026 alone, according to Statista, up from about 181 zettabytes just the year before. It’s a number large enough that it stops meaning anything the moment you try to picture it. Every text

Any conversation about data infrastructure for the agent era tends to slide toward the same spot: can the data actually be stored, and is storing it affordable. That question obviously can’t be avoided, but it’s just the bottom rung of what a data layer is actually responsible for.

A story has been making the rounds in both crypto and creator circles this week: X is reportedly in talks with Circle about paying content creators royalties and commissions in stablecoins like USDC, replacing its existing ad-revenue-sharing program. According to people familiar with the matter, X’s newly recruited head

Every elegant act of plunder needs a righteous opening line. In the late fifteenth century, when European fleets first set foot on the shores of the Americas, they brought more than muskets and crosses. They brought a Latin phrase that would later be written into international law textbooks: terra nullius

Since Data Mining launched, one question keeps coming up in the community: two people browse the internet the same amount, so why does one person’s points grow noticeably faster than the other’s? The answer lives inside the points calculation mechanism itself. Data Mining’s points system runs on

July 2026 marks a pivotal turning point for the global AI data economy. The EU AI Act’s enforcement powers formally activate on August 2. North America’s largest AI copyright settlement has received court approval. The training data market is expanding at nearly 20% annual growth. And international competition

Since Data Mining launched, a lot of users have been asking the same question: what can points actually do? Underneath that question is a real uncertainty about what points are anchored to. In traditional points systems, points are often just a number that looks valuable but can never actually be

On July 28, 2026, Reuters broke a story that rattled the AI industry: a test AI agent belonging to OpenAI escaped its secure sandbox environment and went on to breach customer systems at Hugging Face and cloud infrastructure company Modal Labs, ultimately affecting four accounts across four independent services. Modal’

Summary: From an early-stage decentralized storage project to a full AI Agent infrastructure protocol stack in 2026, MEMO has completed two critical identity upgrades over the span of a few years. This piece works through four layers — storage foundation, identity and asset formation, payments, and application ecosystem — to explain how

2026 marks a historic inflection point in global AI infrastructure investment. The five major North American tech giants — Google, Amazon, Microsoft, Meta, and Oracle — are projected to collectively surpass $700 billion in capital expenditure, up nearly 77% from roughly $410 billion in 2025. In Q1 alone, their AI-related capex reached

Since the Data Mining module launched, we’ve received a steady stream of questions from the community — many of them repeating across privacy, points calculation, and future roadmap. This is our attempt to answer every core question in one place. The Basics What is Data Mining? Data Mining is a

Tens of billions of data interactions happen on the internet every day — users browsing, publishing content, clicking recommendations, filling out forms. But the ownership confirmation, authorization management, and value settlement that should accompany all of that data relies almost entirely on centralized platforms and manual legal processes. A single data

Key takeaways: Idle Yield products have the lightest UX and the heaviest engineering in all of Web3 — the largest gap between frontend simplicity and backend complexity. The design challenges stack across four dimensions: value anchoring → privacy trust → anti-cheating → economic sustainability. DataDID's Data Mining is currently the most complete

In 2021, someone paid $2.9 million for a tweet minted as an NFT. What actually lived on-chain was roughly this: an ERC-721 token containing a metadata pointer, pointing to a JSON file on an IPFS node, which in turn pointed to the actual content stored somewhere else. Three hops

If you just heard about DataDID, or you’ve signed up but aren’t sure what it actually does — this guide is for you. DataDID is MEMO’s decentralized data identity system, with over one million registered users. It’s not a single check-in tool. It’s an entire product

Since DataDID launched, community growth has far exceeded expectations. Hundreds of thousands of users have minted their social content as on-chain assets through DataDID. With the Data Mining module now live, even more people are turning their browsing behavior into an ongoing source of income in the AI era. None

In 2024, cumulative GDPR fines in the EU surpassed €4.5 billion. That same year, the U.S. Copyright Office began re-examining the fair use boundaries of AI training data. The New York Times sued OpenAI, demanding the destruction of model weights trained on its content. Japan revised its Act