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From Stone Tablets to Solid-State Drives

Blog Post | Human Development

From Stone Tablets to Solid-State Drives

Civilization has advanced by learning to preserve more knowledge with less matter.

Summary: Human progress depends not only on discovering knowledge but also on preserving and transmitting it. From stone tablets to printed books and solid-state drives, storage media have become vastly lighter, denser, and faster. Over five thousand years, humanity has increased data density by trillions, making accumulated knowledge cheaper and more accessible than ever.


The astonishing conveniences and prosperity of modern civilization rest on two pillars: our mastery of energy and our relentless discovery of knowledge. Yet, discovering new knowledge alone was not enough for civilizational progress. To accumulate and build on discoveries across generations, humanity needed a way to encode knowledge onto a medium outside of our collective nervous system. From etching hieroglyphs into stone to digitally controlling electrons in modern solid-state drives (SSDs), humanity’s advancement in creating affordable, lightweight, and reliable data storage is astonishing.

Before the invention of written language, people usually transmitted knowledge orally. Fables and other knowledge had to be memorized and accurately recited to pass from one generation to the next. Transmitting knowledge this way, where data is stored only in the human mind, risks significant data loss. When Joe Huntergatherer, the only member of the tribe who had memorized the story of the Great Elder, was killed by an arrow, that story was forever lost. The fragility of oral transmission is why almost all human history, spanning hundreds of thousands of years, is lost to the erosive sands of time.

The invention of writing, the ability to etch, carve, or paint characters onto clay tablets, stone, and cave walls, allowed humans, for the first time, to store information outside the brain. The first clay inscriptions with readable script date from ~3,400 B.C. So long as another person was trained to interpret the inscribed hieroglyphs, characters, or letters, that knowledge was no longer subject to fallible human memory. However, stone inscriptions had relatively low information density.

To create a formula to measure the data density of storage media over time, I convert characters (letters and punctuation) into bits of information, then divide by the number of grams of matter needed to encode that information. A bit is a single binary digit, a zero or one, and roughly eight bits make up a single character. (View these calculations not as precise figures, but as order-of-magnitude approximations, since data density varies considerably from stone to book to drive.)

Let’s begin with stone engravings, using the famous Rosetta Stone as an example. The Rosetta Stone weighs roughly 750kg and contains the same text in three languages: Ancient Egyptian hieroglyphs on top, Egyptian Demotic script in the middle, and Ancient Greek on the bottom. To estimate the data density, I focused on the Greek portion of the stone, which accounts for roughly 1/3 of the stone’s total weight (about 250kg).

No source I could find provided a reliable count of the surviving Greek characters, so I calculated it twice independently. First, I compared a 19th-century publication’s line-by-line count with a high-resolution photo of the stone, which puts the original, undamaged text at about ~7,290 characters. Adjusting that figure for the approximately 20 percent of the stone that’s damaged or missing gives an estimated ~5,832 surviving characters. Second, I ran an AI optical character count directly off the damaged stone, which returned ~5,800. The two methods are close, so I use ~5,800 characters going forward.

Since a single character of text equates to about 8 bits of information, the surviving 5,800 characters store 46,400 bits of data. Divided by the 250kg weight of the Greek portion, we arrive at a data density for the Rosetta Stone of ~0.19 bits/g.

With the discovery of agriculture and the rise of agrarian civilizations, the demands for knowledge storage and transmission media grew. The human population expanded, and a small but notable fraction began to congregate in small towns. As social and economic complexity grew, so did administration, trade, tax, and legal systems. Humans needed an easy way to perform and store the outputs of mathematical calculations, record taxes, and codify rules and regulations for personal and business conduct. Agrarian civilization, in short, demanded a storage medium with higher information density and faster read/write speeds (throughput). Enter papyrus, parchment, and paper.

Early forms of “paper” included papyrus and animal-skin materials like parchment and vellum. Papyrus was made from the papyrus plant, which grew in the Nile Delta in ancient Egypt. To make papyrus, strips of the plant were cut, laid into overlapping layers, and then pressed and dried into sheets. Papyrus was first used for writing as early as 2,500 B.C. and was one of the primary writing materials for thousands of years. Compared with stone, papyrus was far more data-dense; we could fit more characters on a given surface area, the substrate was lighter, and it could be folded or rolled into a scroll.

Parchment, made from cleaned and stretched animal skin, was developed long after papyrus and, thanks to its superior durability, quickly became the medium of choice for important documents. The Magna Carta, made from parchment, contains about 3,500 words or ~25,000 characters, which equates to about 200,000 bits of information. Medieval parchment weighs about 100–180 g/m², meaning the Magna Carta weighs roughly 50 grams. Using our formula, the Magna Carta’s data density comes out to around 4,000 bits/g.

Even the Magna Carta pales in comparison to modern paper with printed text. “Paper”, the flexible plant-fiber sheets we know of today, was invented in China as far back as the 2nd century B.C.. It took centuries for it to spread outside China. Paper could be made thinner and lighter than parchment or papyrus, and the printing press made it possible to fit more words on a sheet. The King James Bible, for instance, contains around 789,000 words. That’s roughly 4.3 million characters, or 34,400,000 bits of data. A standard hardcover Bible weighs about 1 kg. Even if we conservatively include the weight of the binding, the information density comes to ~34,400 bits/g, about 8.6 times the density of the Magna Carta.

Our eyesight is limited, and text can only be so small before we can no longer resolve it. The next revolution in data storage came in the form of more exotic “machine-readable” media. Examples include magnetic storage such as hard drives and magnetic tape. Here, data is encoded on magnetized material directly as bits of information – ones and zeros – by carefully controlling the polarity of magnetic domains. This technology was a wondrous breakthrough, and it’s still improving. Today, for a few hundred dollars, you can purchase a hard drive that can store tens of terabytes of data! A commercially available 10TB HDD that weighs ~1500 g can store ~80 trillion bits of data, a data density of ~53 billion bits/g, 1.54 million times higher than the King James Bible.

Yet today, hard disk drives already feel antiquated. Instead, most phones, desktops, tablets, and external drives use solid-state storage (SSDs). It’s easy to see why SSDs have become so dominant in recent years; they are ideal for mobile devices. They have no moving parts, are more durable, use less energy, and still have higher data density. Solid-state media store data by trapping electrons in a grid of floating-gate transistors to represent bits of information. A commercially available 4TB (~32 trillion bits) SSD weighs 32 grams; a data density of 1 trillion bits/g, about 19 times higher than a comparable hard drive, or about 5.3 trillion times the data density of the Rosetta Stone!

Commensurate with improvements in data density came higher read/write speeds, or “throughput.” People read about 4 words a second and with an average word length of around 5 characters; that’s about 160 bits per second. A professional stone carver might be able to write up to 20 letters an hour, or about 0.044 bits per second. Paper and paper-like media dramatically increased writing speed. A human writes about 1.1 characters per second, or roughly 8.8 bits per second – 200 times faster than carving into stone, though still slower than reading. Printing machines, of course, could print text far faster than any human could write by hand.

But none of this compares to magnetic storage, such as modern hard drives, where read/write speeds (which are similar) are currently about 4.4 billion bits per second. SSDs are faster still, reaching read/write speeds up to 112 billion bits per second. That’s about 700 million times faster than reading, and nearly 13 billion times faster than writing by hand, roughly 2.5 trillion times faster than carving into stone!

In roughly five thousand years, we’ve pushed the density of our storage media up by a factor of trillions, and the leaps keep coming faster. It took five millennia to get from stone to the printed page, representing a 180,000-fold gain in data density. In the seventy years since the invention of the hard drive, and with SSDs, humanity has multiplied that density by another 29 million times. For perspective, the text of the King James Bible carved in stone would weigh around 185 tons, nearly as much as a Boeing 747 (without fuel). On an SSD, it weighs less than a grain of sand.

Anthropic | Scientific Research

AI Finds a New Enzyme System in a Virus

“Many discoveries that have revolutionized biology and medicine started with a scientist noticing something odd in the staggering diversity of molecular machines found in nature. Restriction enzymes, proteins that cut DNA at specific short sequences, were found in bacterial immune systems, where they destroy the DNA of invading viruses. Researchers realized they could use these enzymes to cut DNA at chosen places and splice genes from one organism into another, which launched the biotechnology industry. Taq polymerase, an enzyme that copies DNA at high temperatures, was identified in a bacterium in a Yellowstone hot spring. It became the basis for PCR, the DNA-copying method used in much of modern diagnostics. CRISPR was first noticed as an unusual repeat sequence in the DNA of certain bacteria, and is now the foundation of gene editing-based medicines.

In the spring of 2026, we formed a research group to see whether general AI models can systematize and accelerate such discoveries. We believe that this acceleration will come from establishing a new way of doing biology research, in which agents collaborate with humans in every step of the process. Developing this new way of working required that we build our own lab and a single team working on everything from training Claude in biology to running experiments in the lab.

Today, we’re sharing early results from one of our first research programs, in which Claude autonomously discovered a novel enzyme system that is associated with an array of DNA repeats, a pattern reminiscent of CRISPR. Although we don’t yet know its function, the system that Claude discovered has a set of characteristics that have only ever been found together in a handful of other systems, all of which are programmable and perform operations like cutting, copying, and pasting DNA. Beyond CRISPR, which has already transformed science and medicine, several other such systems are now in development as promising tools.

The system that Claude found is based on a reverse transcriptase (RT), enzymes that copy RNA into DNA. While this underlying RT, found in a jumbo phage, had been identified in previous studies, Claude appears to be the first to notice the system’s defining features—an associated array of non-coding DNA sequences and an additional accessory protein of unknown function.”

From Anthropic.

The Keyword | Computing

Google Expands SynthID Detector for AI content

“As AI tools become better and easier to use, having clear context about the content you encounter online helps you make informed decisions about what to trust. Since launching Google SynthID in 2023, we've helped people identify AI-generated media using imperceptible watermarks across images, video, and audio. To date, we've watermarked over 180 billion images and videos, along with 240,000 years of audio content.

Last year, we introduced an early version of the SynthID Detector to help media professionals verify AI-generated content. Now, we’re expanding access to everyone – with the tool available globally in English starting today.

With the new SynthID Detector, anyone can easily check if an image, video, or audio file was made with AI from Google or our partners, including OpenAI, NVIDIA, Kakao, and soon, Apple.”

From The Keyword.

Wall Street Journal | Scientific Research

AI Offers Hundreds of Potential Math Solutions

“On Tuesday night, OpenAI published hundreds of proofs for mathematicians to wrap their minds around.

An unprecedented number of answers that had eluded mathematicians for decades arrived in a single night. The deluge included AI solutions to more than 300 problems across number theory, algebraic geometry and other fields with names that could give anyone haunted by high-school math a migraine. Among the major findings in a collection of 722 papers were advances related to three of the five remaining Millennium Prize Problems, including the Riemann hypothesis.

'If a human did this, it would be an instant Fields Medal, no questions asked,' Alex Kontorovich, a Rutgers University distinguished math professor, wrote on X about the 'quasi-Riemann hypothesis' proof.

The understated rollout of such monumental results marked a shift in OpenAI’s approach to publishing scientific discoveries, part of an effort to win back mathematicians who have become allergic to AI hype in recent months. On late Tuesday and early Wednesday, many of them reported feeling a sense of awe.

As stunned math experts scrolled through the results and began to absorb them, even a researcher inside Anthropic called the release 'obviously the most significant moment in mathematical history.'”

From Wall Street Journal.

MIT News | Computing

AI Beats Top Human Stratego Players for the First Time

“Using advances in machine-learning, researchers from MIT, Carnegie Mellon University, New York University, and Stanford University developed an AI that defeated top-ranked human players of the board wargame Stratego by a large margin — something no AI system had been able to achieve.

Stratego, a two-player game of imperfect information, in which the opponent’s piece identities remain hidden, is often used as a benchmark to test the strategic thinking abilities of powerful AI models.

To build their model, the researchers combined efficient training algorithms with new techniques tailored for calculated decision-making in hidden information settings.

The AI system achieved greater performance at Stratego than the next best models, while being far cheaper and less computationally demanding to train. The system also outperformed top human players in other strategic games with different rules and designs, demonstrating how it can be generalized for a variety of use-cases…

Past efforts, such as Google’s DeepMind, relied on sophisticated operations that were computationally demanding and costly. But even with millions of dollars in training costs, these models were still not strong enough to beat top human Stratego players.”

From MIT News.