The Washington Post predicted how tech will advance 50 years ago and the success rate is humbling


Fifty years ago, when floppy disks were cutting-edge and the personal computer revolution had barely begun, The Washington Post attempted a remarkably ambitious exercise: predict what life in 2026 would look like. Some of those predictions now read like science fiction. Others feel surprisingly ordinary because they have become part of everyday life.

In a retrospective published for America’s 250th anniversary, the newspaper revisited science editor Thomas O’Toole’s 1976 article Inventing the Future, comparing its forecasts with today’s technological reality. The results reveal that while predicting exact timelines is nearly impossible, identifying long-term scientific trends can be remarkably accurate.

Fifty years later, some predictions look astonishingly accurate

O’Toole expected solar power to become a major energy source while believing commercial fusion power remained decades away. That prediction largely holds today. Solar energy now accounts for a significant share of new electricity generation in the United States, while fusion continues to attract billions in investment without reaching commercial deployment.

He also anticipated the rise of mobile communications, imagining phone calls travelling through optical fibre instead of traditional copper cables. While he could not have predicted smartphones, social media, or mobile apps, his broader vision of a connected world proved remarkably prescient. Today’s smartphones have become the primary gateway to communication, commerce, entertainment, and information for billions of people worldwide.

Several medical forecasts also landed surprisingly close to reality. O’Toole wrote about genetic engineering transforming healthcare long before technologies such as CRISPR existed. Today, gene editing is already being used in research and experimental treatments, although editing human embryos remains highly controversial following the widely condemned case of a Chinese scientist in 2018.

His prediction that Americans would live longer also proved accurate. Average life expectancy reached a record high in recent years, helped by medical advances, better treatments, and improved disease prevention, even as new public health challenges continue to emerge.

Not every prediction landed, but the broader vision did

Some forecasts were more optimistic than reality. O’Toole imagined nuclear-powered artificial hearts becoming commonplace, but modern medicine instead focused on improving heart health through drugs, minimally invasive procedures, and experimental organ transplants, including genetically modified pig organs. Artificial hearts remain rare rather than routine.

He also predicted deep-sea mining decades before it became a global policy debate. While companies now possess the technology to mine the ocean floor, environmental concerns continue to slow widespread adoption as scientists warn of potentially irreversible damage to marine ecosystems.

Perhaps the boldest prediction involved permanent human settlements beyond Earth. While humanity has yet to establish colonies on the Moon or Mars, companies such as SpaceX continue pursuing that goal through long-term exploration and settlement plans.

The retrospective serves as a reminder that technological forecasting is rarely about predicting specific products. O’Toole didn’t foresee the iPhone, ChatGPT, or cloud computing. Instead, he identified the scientific directions that would shape the following half-century.

Looking back from 2026, the biggest surprise isn’t that some predictions missed the mark. It’s that so many of them came remarkably close, despite being written half a century before artificial intelligence, the internet, and smartphones transformed everyday life.



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Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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