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Meta planning sweeping layoffs as AI costs mount

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No date has been set for the cuts and the magnitude has not been finalised, the people said [File]
| Photo Credit: REUTERS

Meta is planning sweeping layoffs that ‌could affect 20% or more of the company, three sources familiar with the ​matter told Reuters, as Meta seeks to offset costly artificial intelligence infrastructure bets ⁠and prepare for greater efficiency brought about by AI-assisted workers.

No date has been set for the cuts and the magnitude has not been finalised, the people said.

Top executives have recently signaled the plans ‌to other senior leaders at Meta and told them to begin planning how to pare back, two of the people said. The sources spoke anonymously because they ‌were not authorised to disclose the cuts.

“This is speculative reporting about theoretical approaches,” Meta ‌spokesperson ⁠Andy Stone said in response to questions about the plan.

If Meta settles ⁠on the 20% figure, the layoffs will be the company’s most significant since a restructuring in late 2022 and early 2023 that it dubbed the “year of efficiency.” It employed nearly 79,000 people as of December 31, according ​to its latest filing.

The company laid off ‌11,000 staffers in November 2022, or around 13% of its workforce at the time. Around four months later, it announced it was cutting another 10,000 jobs.

Over the last year, CEO Mark Zuckerberg has been pushing Meta to compete more ‌forcefully in generative AI. The company has offered huge pay packages, some worth ​hundreds of millions of dollars over four years, to court top AI researchers to a new superintelligence team.

The company has said it plans to invest $600 ⁠billion to build data centres by 2028. Earlier this week, it acquired Moltbook, a social networking platform built for AI agents. Meta is also spending at least $2 billion to buy Chinese AI ‌startup Manus, Reuters previously reported.

Zuckerberg has alluded to efficiency gains from the investments, saying in January he was starting to see “projects that used to require big teams now be accomplished by a single very talented person.”

Meta’s plans reflect a broader pattern among major U.S. companies, particularly in tech, this year. Executives have pointed to recent improvements in AI systems as one reason for the changes.

In January, Amazon confirmed it would cut some 16,000 jobs, amounting to nearly 10% ‌of its workforce. Last month, the fintech company Block chopped nearly half of its staff, with CEO Jack ​Dorsey explicitly pointing to AI tools and their growing capability to help companies do more with smaller teams.

Meta’s planned AI investments follow a series of ⁠setbacks with its Llama 4 models last year, including criticism that it provided misleading results on ⁠the benchmarks it used for early versions. It abandoned the release of the largest version of that model, called Behemoth, which had been due out in the summer.

The ‌superintelligence team has been working to reassert the company’s standing this year by building a new model called Avocado, but the performance of that model has also lagged expectations.

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Why Low Testosterone May Make Sugary Diets Much More Dangerous

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A new study explores how decreased testosterone and high fructose intake may interact to influence the development of fatty liver disease. Low testosterone can lead to several health issues, and poor dietary habits may further worsen these conditions. One example is metabolic dysfunction-associated steatotic liver disease (MASLD), a growing global health concern that currently affects […]

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Is Your Brain Actually To Blame for High Blood Pressure?

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A newly identified brainstem mechanism linking breathing and blood pressure may help explain certain forms of hypertension and point toward new treatment strategies targeting oxygen-sensing cells in the neck. Scientists have identified a region of the brain that may contribute to high blood pressure. The lateral parafacial region is located in the brainstem, the most […]

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First-of-Its-Kind Study Finds Drug Reduces Excessive Sleepiness in Early-Morning Workers

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A clinical trial suggests that a wake-promoting drug may help early-morning shift workers overcome the biological challenges of working during hours when the brain expects sleep. Before sunrise, millions of people are already at work. For many of them, the biggest challenge is not motivation. It is biology. Early morning shifts are more common than […]

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Viagra Ingredient Shows Promise for Rare Childhood Brain Disease in Surprising Study

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A rare childhood disease with no approved treatment may have an unexpected new therapeutic candidate. Sildenafil, the active ingredient also sold under the brand name Viagra, may help reduce symptoms in people with Leigh syndrome. Researchers report this finding in the journal Cell. The study was led by scientists at Charité – Universitätsmedizin Berlin in […]

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43-Year Study Finds Coffee May Help Protect the Brain From Dementia

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A large, decades-long study of more than 130,000 participants suggests that moderate consumption of caffeinated coffee or tea may support long-term cognitive health. Researchers from Mass General Brigham, Harvard T.H. Chan School of Public Health, and the Broad Institute of MIT and Harvard conducted a large prospective cohort study involving 131,821 participants from the Nurses’ […]

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When AI firms become power firms, should governments foot the bill?

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It is rare for a policy announcement in Washington to feel like the real-time validation of a thought experiment I undertook. Yet that is precisely what happened last week when the Trump administration unveiled the “Ratepayer Protection Pledge”, urging America’s largest artificial intelligence firms to build, or procure, their own electricity supply for the data centres that power AI.

The non-binding pledge asks hyperscalers like Alphabet, Microsoft, Amazon, Meta, Oracle, and xAI to pay the full cost of energy generation and grid upgrades required to run their facilities, rather than passing those costs on to ordinary consumers.

For anyone who has been modelling the economics of AI infrastructure, this proposal is striking. Interestingly, I ran a sort of Monte Carlo-style exercise examining Alphabet’s “century bonds” in one of my earlier columns. One of the plausible long-term scenarios from that exercise was hyperscalers slowly evolving into quasi-utility companies whose competitive advantage lies not only in algorithms and data but also in electricity generation, transmission, and physical compute capacity. The Trump administration’s pledge seems to nudge the industry in that direction.

The reason is simple: AI is an energy revolution disguised as a technological revolution.

Training and running large AI models requires enormous computing clusters with thousands of GPUs operating continuously inside data centres that consume electricity at industrial scale. In the United States alone, data centres currently account for roughly 4–5% of national electricity demand, and projections suggest this could rise to 9–17% by 2030 as AI infrastructure expands.

That growth has triggered political backlash as communities hosting large data centres have complained about rising power bills and strained grids. This pledge is therefore as much a political gesture as an economic one. And, by the way, it is not binding and its operational details are sketchy at best. So let us not even get into the enforcement mechanism. Still, the pledge signals something profound about the next phase of the AI race.

The constraint will no longer be about chips. It will be about energy.

If the pledge becomes reality, the hyperscalers may resemble a hybrid between a technology company and an independent power producer. These big tech firms may end up building and controlling the energy supply needed for computing.

If AI infrastructure evolves into a capital-intensive energy business with massive fixed assets, regulated pricing structures and predictable demand, then issuing ‘century bonds’ —as in the case of Google’s long-term debt raise —begins to look less eccentric and more rational.

The power generation industry has long been capable of sustaining long-term liabilities, and it is now on the cusp of being disrupted by hybrid technology companies building massive data centres across the globe.

While the heads of these AI companies have signed a non-binding pledge to build and run their own electricity supply in the United States, they are being aggressively courted by the Indian government with a tax holiday.

In the Union Budget earlier this year, the government announced a tax holiday until 2047 for foreign cloud providers that deliver global services through data centres located in India. The government’s pitch fails to fully account for the downstream effects of such incentives.

In effect, India risks subsidising capital-intensive infrastructure whose largest resource costs — power, water and land — will ultimately be borne by local ecosystems and public utilities.

Unlike the software companies India courted in the past, hyperscale data centres are heavy industrial facilities that consume gigawatts of electricity, enormous volumes of water for cooling, and large tracts of land. The economic benefits they generate locally — in terms of employment — are relatively modest once construction is complete.

Offering a multi-decade tax holiday to attract such facilities could place additional strain on already stressed urban ecosystems. There is also the question of grid financing as hyperscale data centres require dedicated transmission lines, substations and network upgrades — costs that often fall on public utilities unless explicitly recovered from operators. These concerns are beginning to surface at the state level.

Tamil Nadu, for instance, is letting its data-centre policy lapse. In 2021, the state government incentivised data-centre investment with a range of perks. Now officials are openly acknowledging the trade-offs involved, particularly the large electricity demand and water consumption associated with AI data centres in Chennai.

This divergence between states such as Tamil Nadu and the Union government highlights a deeper policy gap. The physical consequences of hosting these facilities — including power demand, water stress, land use and grid upgrades — are borne primarily by state governments. And those pressures will only grow as AI workloads expand.

While Washington’s approach — at least rhetorically — is that hyperscalers should eventually finance their own power supply, India’s current approach appears to be the opposite: offering generous incentives without fully considering the potential toll on the country’s power infrastructure and water resources. If AI is indeed becoming the next layer of global industrial infrastructure, the question India must confront is not merely how to attract data centres, but who will ultimately pay for the energy systems that sustain them.

Published – March 14, 2026 08:12 am IST

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Column: Exploring the history and evolution of escalators

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When there’s a mention of “moving staircases”, there’s two types of imagery that can usually occur. Both imagery surely has steps in them, but how it “moves” is probably what changes in them.

For those of us muggles who’ve been introduced to the magical world of the Harry Potter series — especially the movies — it brings to mind an entire flight of stairs moving from one place to another. The concept is introduced in the first movie in the series with massive, interconnected structures swinging and pivoting in unison. Those who are more faithful to the books will remind you that the movement is actually less frequent and not even directly mentioned, with author J. K. Rowling choosing instead to say that some flight of stairs led to different places on different days. 

For the rest of us No-Maj (pronounced as no-madge and is the American slang for non-magical person, or muggle, in the Harry Potter universe), moving staircases likely reminds us of escalators. If you come to think of it, these stairs help you move up and down a flight of steps, even as you are standing still. Tell that this is really possible and can take place everyday to someone who lived centuries ago (if you work out time travel that is), and it might sound magical to them! 

It is about these escalators that we’ll delve into now, quickly taking in the progress in the field that has spanned over 100 years. 

First of their kind

The first U.S. patent for an escalator-like contraption was awarded to American Nathan Ames. Born in 1826 as Nathan Eames before officially changing his name in 1843, Ames is now best remembered for two things — for this patent and as a poet. 

Making a living as a patent solicitor, Ames had a way with words, often expressing his ideas through poems that were both reflective and evocative. In addition to writing about love, loss, and relationships — the standard tropes of poems — Ames also wrote poetry about local pirate legends. He even published a book titled Pirates’ Glen and Dungeon Rock in 1853 that was a dramatic, lyrical-verse narrative focussing on the New England coastline. 

On August 9, 1859, Ames was awarded a patent titled “Revolving stairs”. He called it a “new and useful improvement in stairs” in his patent and provided a description of its construction and operation, along with drawings. While a quick glance at the patent drawing is enough to notice similarities with present-day escalators, Ames never tried to create these himself, nor was his escalator-like machine made by others. 

Reno’s ride

There were other escalator-like stairways that were patented in the decades that followed. Foremost among them were those of American Leamon Griffith Souder, who not only patented stairways for ascending and descending, but also held one titled “Spiral column for endless chain conveyor” in the 1880s and 1890s. None of these, however, ever saw the light of the day as they remained unbuilt, just like in the case of Ames. 

The first of the escalator-like machines that were actually built were courtesy American inventor and engineer Jesse Wilford Reno. Born in 1861, Reno chalked his first plans of an inclined elevator while still in his teens. 

A patent drawing from Reno’s patent.
| Photo Credit:
U.S. patent US470918A

By the 1890s, his ideas took shape. At the base of his idea was a conveyor belt inclined at 25 degrees, fitted with planks of metal with serrated surface. This design, especially the teeth in each stair, allowed for smooth transition throughout the inclined stairway, and particularly in the landings, where people would have to get on or off. In order to make its users feel more secure, especially since it was going to be a novelty, Reno decided to provide handrails for support. On March 15, 1892, Reno received his patent titled “Endless conveyor or escalator”. 

When Reno’s proposal to have his machine installed in a subway station failed, he agreed to build a model of his inclined elevator to be installed as an amusement ride. One of the first working escalators was thus installed as a ride at the Old Iron Pier amusement park in Coney Island, New York. The temporary attraction — it was there for only a few weeks — with wooden steps was inclined at 25 degrees and managed a vertical climb of just 7 feet. That, however, was enough to draw in 75,000 people in a short span of time as the novelty of moving up with the stairs while they stood still on it dawned on them. 

Further trials were followed by retail applications, with Reno even setting up his own company in 1902. Less than a decade later, Reno’s company and the patent rights for his escalators were purchased by the Otis Elevator Company, who were responsible for giving escalators their name too. Reno was inducted into the National Inventors Hall of Fame in 2007 for this contribution. 

The lure of the spirals

Have you seen a spiral escalator?

Have you seen a spiral escalator?
| Photo Credit:
Nandaro / Wikimedia Commons

Just like Souder, Reno too was lured towards spiral escalators. In fact, we now know that it was more than just on paper, as rusty remains of his engineering experiment were unearthed in 1988. Buried at the bottom of a lift shaft at Holloway Road station, a London Underground station, were the remains of what were Reno’s attempts at a spiral escalator. 

These structures, raised around 1906 and left incomplete probably due to fears over safety, had a double spiral design. While you have to wait for an elevator to come to your level to enter it, such a design would have made ascending and descending simultaneously possible within the same space. With a central core, the two spirals encircled it, with the outer for coming down and the inner for going up. 

The travel time to reach the street level from the underground or vice versa was about 45 seconds, as the spirals were expected to run continuously in a clockwise direction, travelling at the rate of 30 metres per minute. It surely didn’t enter passenger service, probably because the design had a mistake. It was dismantled in 1911, the same year the London Underground’s first escalators were installed at Earl’s Court station. Spiral escalators, however, did become a reality in the 1980s.

Today, there are nearly a million escalators in operation worldwide, ferrying billions of people in their effort to move up and down everyday. With an average lifespan of nearly 30 years, each of these escalators travel roughly anywhere between 2,00,000 to 5,00,000 km. Given that the Earth’s circumference is a touch over 40,000 km, a single escalator can cover a total distance that is equivalent to anywhere between one-fourth to half the Earth’s circumference every year, enough even to take it to the moon over a lifetime!

Have you ever seen an escalator while it is still under construction?

Have you ever seen an escalator while it is still under construction?
| Photo Credit:
A.S.Ganesh

Escalator etiquette

Is there something like an escalator etiquette? Is there a certain way that you have to use escalators? The answer depends on whether you are thinking about the individual or people as a collective.

Popular escalator etiquette suggests that people should stand on one particular side, holding the handrail for safety, and keeping baggages, if any, close to themselves. Which side you stand on again depends on where you are using the escalator. In countries like India, we stand on the left side, allowing people on the move to pass on the right. This is akin to how it is on our roads, where the slower vehicles keep to the left, with overtaking on the right being the right way to ride or drive. 

While this is largely followed across the world — barring of course the side in which the standing group have to stand — there’s no clear consensus if this is the most efficient way of actually doing it. In fact, in a video titled “The Messy Science of Escalator Etiquette” from the YouTube channel Half as Interesting, the makers suggest that, based on studies, leaving half your escalator for walking is not the most efficient way for transporting people for escalators that are more than 60 feet tall. Instead, they argue that in such cases, people should stand on both sides, with one person in each step. 

Of course, their interest here is to get across the most number of people on that escalator for any given time. In real life, however, there might be some who are in a hurry and hence walking on the escalator, and certain others who are willing to wait. That is surely not factored in in such a scheme. 

And then, obviously, is the fact that no etiquette is followed on some escalators in some regions. Maybe there’s some merit in the haphazard nature in which those escalators are used as well.

Now that it is completed, how much distance do you think this escalator will travel?

Now that it is completed, how much distance do you think this escalator will travel?
| Photo Credit:
A.S.Ganesh

*Escalator and stairway leading up to Banking Floor in PSFS Building. Philadelphia Saving Fund Society (PSFS) photographs (Accession 1993.302). 1932. 93302_box3_215. Box 3 ‘PSFS building interiors,’ Folder ‘Escalators and stairways’, Audiovisual Collections, Hagley Museum and Library, Wilmington, DE 19807. Accessed 2026-03-05; https://digital.hagley.org/93302_box3_215

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New Pancreatic Cancer Treatment Wipes Out Tumors and Blocks Drug Resistance

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A triple drug approach that blocks the KRAS pathway at three points eliminated pancreatic tumors and prevented resistance in mouse models. Existing treatments for pancreatic cancer often stop working within a few months because tumors quickly develop resistance to the drugs. Researchers at Spain’s National Cancer Research Centre (CNIO) report that they have prevented this […]

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The Genetics of Living Longer: Study Challenges Decades of Aging Research

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Weizmann Institute study finds genetics may account for about 50 percent of human lifespan, more than double previous estimates. What determines how long people live, and how much of their lifespan is influenced by genetics? For many years, scientists believed the genetic contribution to human lifespan was relatively modest compared with other biological traits. Earlier […]

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