Society
DeepSeek: The Good, The Bad, and The Ugly
While being hailed as a new disruption in the tech world, DeepSeek also has its share of the good, the bad, and the ugly. Let’s take a closer look

On January 27, a black Monday, $593 billion of NVIDIA’s value was wiped out. The culprit? A little-known Chinese startup, DeepSeek. It has now outpaced even ChatGPT, a US-based popular generative artificial intelligence chatbot, in terms of downloads from the App Store. While being hailed as a new disruption in the tech world, DeepSeek also has its share of the good, the bad, and the ugly. Let’s take a closer look.
Consider this: Every year, 1,000 kilowatt-hours (kWh) of energy is used by an average household in India for electricity. By 2026, America is expected to use the equivalent energy of 2.5 million Indian households just for artificial intelligence (AI) activities. This will total around 270 terawatt-hours of energy. These numbers come from the World Economic Forum. However, the energy used by AI technologies, or rather the costs involved, often go unnoticed.
It is against this backdrop that DeepSeek, a Chinese AI chatbot, emerged as a disruptive product. While it may be called a Chinese startup, it is, in fact, a politically-driven product launched with careful planning and state backing. Compared to ChatGPT, the revolutionary AI tool launched by US-based OpenAI, DeepSeek’s energy consumption and costs are significantly lower. This is the most important (the good) aspect of DeepSeek. Let’s explore why.
The Rise of ChatGPT
ChatGPT, launched in 2022, reached 100 million users within two months. That’s, indeed, a significant achievement. Later, it even challenged Google, the search engine giant, in its dominance.
But have you ever thought about what happens to nature when you ask ChatGPT a question? ChatGPT’s energy consumption has a substantial environmental impact. Each time you ask ChatGPT a question, it consumes 0.0029 kWh of electricity. This is ten times more than a Google search, which consumes just 0.0003 kWh of electricity, according to the Electric Power Research Institute.
To put it simply, while DeepSeek may offer a more energy-efficient AI solution with impressive results, it also carries with it concerns about transparency, ethical usage, and political censorship
Annually, ChatGPT uses 226.82 million kWh of electricity just to answer user queries. With this much energy, you could fully charge 313 million electric vehicles or charge 47.87 million iPhones for a year.
And the cost? A whopping $29.71 million per year. OpenAI spends this amount every year just to answer users’ questions on ChatGPT.
Training and High Costs
ChatGPT works based on large language models that are trained on vast amounts of data. This training requires massive energy consumption. During the training period of ChatGPT-3, a total of 1,287,000 kWh of electricity was used over 34 days. When it came to training GPT-4, the consumption skyrocketed to 62,318,800 kWh over 100 days—48 times more than GPT-3.
ChatGPT, which was introduced to the public in November 2022, became an instant sensation. It’s a chatbot based on a technology called Generative Pre-trained Transformer (GPT), designed to generate a variety of content, including dialogues.
Energy consumption |
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>> OpenAI spends $29.71 million every year just to answer users’ questions on ChatGPT. |
>> During the training period of ChatGPT-3, a total of 1,287,000 kWh of electricity was used over 34 days |
>> When it came to training GPT-4, the consumption skyrocketed to 62,318,800 kWh over 100 days—48 times more than GPT-3 |
The success of ChatGPT significantly boosted OpenAI’s market value. OpenAI was founded in 2015 by prominent figures like Sam Altman and Elon Musk, aiming to explore the potential of artificial intelligence. Musk eventually left the company, and Sam Altman is the current CEO.
Meanwhile, DeepSeek V-3 required only 836,400 kWh of energy. As reported by tech entrepreneur Joy Sebastian on Facebook, leading companies use tens of thousands of NVIDIA H100 GPUs for AI training and model operation. This heavy investment helped NVIDIA reach the top of the market value charts. AI development, which demands such immense resources, seemed out of reach even for multi-billion-dollar companies.
It was here that DeepSeek amazed the world by entering the AI space with a relatively modest investment of $5 million, offering a model that competes with the best. DeepSeek is said to deliver better results than GPT-4 in several areas.
Top global companies typically use supercomputers with over 16,000 chips for their chatbot training. However, DeepSeek engineers stated that they only needed about 2,000 NVIDIA chips, according to a report in The New York Times.
Given this, it’s clear that AI technologies need to be studied carefully in terms of their energy sources. According to a report from the World Economic Forum, tech giant Microsoft has seen a 30% increase in carbon emissions since 2020, largely due to the growth of AI-powered data centers. This makes DeepSeek’s low energy usage a significant advantage.
The Bad Thing
China is notorious for copying innovations, from electronics to cars and social media platforms. OpenAI, the company behind ChatGPT, has confirmed that DeepSeek trained its AI model using ChatGPT’s framework. This has led to some controversy, with OpenAI stating that they have evidence of this. Microsoft, a major investor in OpenAI, has initiated an investigation into the issue. Despite the US imposing restrictions on product exports to China, DeepSeek continued its operations using NVIDIA chips. It’s been reported that DeepSeek had stockpiled around 50,000 NVIDIA A100 chips before the ban took effect. However, some reports suggest that DeepSeek only used 2,000 chips for training its AI model. This is in stark contrast to major companies that use 16,000 specialized chips. Yet, there’s still a lack of clarity regarding which chips were actually used in DeepSeek’s operations, as commented by figures like Elon Musk.
The Ugly
While both Google and AI-powered ChatGPT became popular due to their openness and transparency, the same cannot be said for DeepSeek. A major issue is its refusal to answer sensitive political questions, especially those that are inconvenient for the Chinese government. Ask about the Tiananmen Square massacre or Chinese authoritarianism, and DeepSeek will respond with, “Let’s talk about something else.” Regardless of its other advantages, this undemocratic and regressive approach is a major flaw that could affect its global acceptance.

To put it simply, while DeepSeek may offer a more energy-efficient AI solution with impressive results, it also raises concerns about transparency, ethical usage, and political censorship. It’s a reminder that in the world of AI, the good, the bad, and the ugly are often intertwined.
Society
INM: MIT’s Bold Push to Regain America’s Productive Edge
The ambitious initiative aims at reinvigorating U.S. manufacturing with cutting-edge innovation

In a move to reshape the future of American industry, the Massachusetts Institute of Technology (MIT) has launched its Initiative for New Manufacturing (INM), an Institute-wide effort aimed at revitalizing U.S. manufacturing through next-generation technologies, research, education, and deep collaboration with industry.
Announced today, INM seeks to strengthen key sectors of the U.S. economy and spark nationwide job creation. The initiative will bring together MIT’s extensive research capabilities and educational resources to help companies of all sizes increase productivity and build a more resilient and human-centered manufacturing landscape.
“We want to work with firms big and small, in cities, small towns and everywhere in between, to help them adopt new approaches for increased productivity,” MIT President Sally A. Kornbluth wrote in a letter to the Institute community this morning. “We want to deliberately design high-quality, human-centered manufacturing jobs that bring new life to communities across the country.”
“We want to work with firms big and small, in cities, small towns and everywhere in between, to help them adopt new approaches for increased productivity
Kornbluth emphasized the significance of the effort, stating in a media statement: “Helping America build a future of new manufacturing is a perfect job for MIT — and I’m convinced that there is no more important work we can do to meet the moment and serve the nation now.”
Industry Collaboration
INM has already attracted strong industry support, with its first five founding consortium members — Amgen, GE Vernova, PTC, Siemens, and Sanofi — joining forces to fund initial research projects, particularly in the area of artificial intelligence for manufacturing.
“There is tremendous opportunity to bring together a vibrant community working across every scale — from nanotechnology to large-scale manufacturing,” said Anantha Chandrakasan, MIT’s chief innovation and strategy officer and dean of engineering. “MIT is uniquely positioned to harness the transformative power of digital tools and AI to shape the future of manufacturing.”
The initiative will support research, education, and real-world applications — including new manufacturing labs, a “factory observatory” program to connect students with live production sites, and thematic pillars ranging from semiconductors and biomanufacturing to defense and aviation.
Workforce development is also central to INM’s mission. It will include TechAMP, a program designed to bridge the gap between technicians and engineers through collaboration with community colleges, along with AI-powered teaching tools and expanded manufacturing education on campus.
The initiative is co-directed by three MIT faculty: John Hart, head of mechanical engineering; Suzanne Berger, an Institute Professor and political scientist; and Chris Love, professor of chemical engineering. Julie Diop serves as executive director.
At a recent MIT symposium titled “A Vision for New Manufacturing,” Berger underscored the urgency of the moment: “The rationale for growing and transforming U.S. manufacturing has never been more urgent than it is today. What we are trying to build at MIT now is not just another research project. … Together, with people in this room and outside this room, we’re trying to change what’s happening in our country.”
Love added: “We need to think about the importance of manufacturing again, because it is what brings product ideas to people… There is a real urgency about this issue for both economic prosperity and creating jobs.”
Echoing the sentiment, Hart emphasized the long-term significance of the initiative: “While manufacturing feels very timely today, it is of enduring importance… Working with industry — from small to large companies, and from young startups to industrial giants — will be instrumental to creating impact and realizing the vision for new manufacturing.”
A Continuum of Commitment
INM builds on a legacy of MIT initiatives aimed at supporting manufacturing, including the 1989 book Made in America, the Production in the Innovation Economy project, and The Engine, a venture fund launched in 2016 to back hardware-based startups.
As Kornbluth noted in her letter, “We want to reimagine manufacturing technologies and systems to advance fields like energy production, health care, computing, transportation, consumer products, and more… and we want to reach well beyond the shop floor to tackle challenges like how to make supply chains more resilient, and how to inform public policy to foster a broad, healthy manufacturing ecosystem that can drive decades of innovation and growth.”
With its launch, MIT’s Initiative for New Manufacturing marks a renewed commitment to restoring American manufacturing leadership through innovation, collaboration, and education — aimed squarely at building a stronger, more equitable industrial future.
EDUNEWS & VIEWS
Harvard Pledges $250 Million for Research After Federal Funding Slash
The administration has defended the funding freeze as part of a broader campaign to address what it characterizes as pervasive anti-Semitism on campuses and to roll back diversity programs

Harvard University has announced a $250 million investment to sustain vital research programs in the face of steep federal funding cuts imposed by the Trump administration.
The move follows a sweeping $2.6 billion reduction in government grants to the Ivy League institution, citing alleged discriminatory practices and refusal to comply with federal oversight mandates. The cuts, which Harvard is actively challenging in court, have already suspended or canceled dozens of projects—some of which were considered critical to public health and technological innovation.
University President Alan Garber and Provost John Manning issued a joint statement on Wednesday, emphasizing the urgent need to protect research initiatives. “While we cannot fully offset the financial blow from halted federal support, we are committed to backing essential research during this transitional period,” they said. The university is also working with faculty to secure alternative funding channels.
Harvard has strongly criticized the federal measures, calling the termination of grants “unlawful” and accusing the administration of interfering with academic independence. The university contends that the loss of funding not only halts groundbreaking work but also threatens years of scientific progress.
At the heart of the dispute is a broader political clash over university governance. Harvard, whose endowment reached $53.2 billion in 2024, has become a focal point of the Trump administration’s efforts to reshape higher education policy. The White House has demanded greater control over admissions, hiring, and the political climate on campus—demands Harvard has resisted.
The administration has defended the funding freeze as part of a broader campaign to address what it characterizes as pervasive anti-Semitism on campuses and to roll back diversity programs. Critics argue these moves are part of a larger effort to suppress progressive academic culture and penalize dissent over U.S. foreign policy, especially in light of recent student protests against the war in Gaza.
In recent weeks, federal authorities have also taken steps to revoke visas of international students involved in these demonstrations, accusing them of ties to militant organizations—allegations civil rights groups and university leaders have strongly disputed.
With tensions between the federal government and top academic institutions mounting, Harvard’s legal challenge could set a precedent for how universities navigate political interference while safeguarding research, free speech, and academic autonomy.
Health
Robot Helps Elderly Sit, Stand, and Stay Safe from Falls
The innovation comes at a time when the United States faces a dramatic demographic shift

As America’s population ages faster than ever before, a team of engineers at MIT is turning to robotics to meet the growing eldercare crisis. Their latest invention, the Elderly Bodily Assistance Robot—or E-BAR—aims to provide critical physical support to seniors navigating life at home, potentially reducing the risk of injury and relieving pressure on a strained care system.
The innovation comes at a time when the United States faces a dramatic demographic shift. The nation’s median age has climbed to 38.9, nearly ten years older than in 1980. By 2050, the number of adults over 65 is projected to surge from 58 million to 82 million. As demand for care rises, the country is simultaneously grappling with shortages in care workers, escalating healthcare costs, and evolving family structures that leave many elderly adults without daily support.
“Eldercare is the next great challenge,” said Roberto Bolli, a graduate student in MIT’s Department of Mechanical Engineering and one of E-BAR’s lead designers, in a media statement. “All the demographic trends point to a shortage of caregivers, a surplus of elderly persons, and a strong desire for elderly persons to age in place.”
E-BAR is designed to address exactly that challenge. The mobile robot acts as a robotic support system, following a user from behind and offering both steadying handlebars and rapid intervention in case of a fall. It can support a person’s full weight and includes side airbags that inflate instantly to catch users if they begin to fall—without requiring them to wear any equipment or harnesses.
“Many older adults underestimate the risk of fall and refuse to use physical aids, which are cumbersome, while others overestimate the risk and may not exercise, leading to declining mobility,” said Harry Asada, the Ford Professor of Engineering at MIT, in a media statement. “Our design concept is to provide older adults having balance impairment with robotic handlebars for stabilizing their body. The handlebars go anywhere and provide support anytime, whenever they need.”
The robot consists of a heavy, 220-pound base equipped with omnidirectional wheels, allowing it to maneuver easily through typical home spaces. From its base, articulated bars extend and adjust to assist users in standing or sitting, and the handlebars provide a natural, unrestrictive grip. In testing, E-BAR successfully helped an older adult complete everyday movements such as bending, reaching, and even stepping over the edge of a bathtub.
“Seeing the technology used in real-life scenarios is really exciting,” said Bolli.
The team’s design, which will be presented later this month at the IEEE Conference on Robotics and Automation (ICRA), aims to eliminate the physical constraints and stigmas often associated with eldercare devices. Their approach prioritizes both independence and safety—key values for aging Americans seeking to remain in their homes longer.
While E-BAR currently operates via remote control, the team plans to add autonomous capabilities and streamline the device’s design for home and facility use. The researchers are also exploring ways to integrate fall-prediction algorithms, developed in a parallel project in Asada’s lab, to adapt robotic responses based on a user’s real-time risk level.
“Eldercare conditions can change every few weeks or months,” Asada noted. “We’d like to provide continuous and seamless support as a person’s disability or mobility changes with age.”
As the nation prepares for the realities of an aging population, MIT’s work offers a glimpse into a future where robotics play a central role in eldercare—enhancing both quality of life and personal dignity for millions of older adults.
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