logo
Bret Taylor says Computer Science degrees still matter: Here are the top 5 US colleges to study CS

Bret Taylor says Computer Science degrees still matter: Here are the top 5 US colleges to study CS

Time of India4 days ago
In an age when artificial intelligence can generate entire blocks of code with a single prompt, it's fair to question the future value of studying computer science. But Bret Taylor, chairman of OpenAI and co-creator of Google Maps, has a clear answer: The degree still matters a lot.
Speaking on an episode of 'Lenny's Podcast,' hosted by product leader Lenny Rachitsky, Taylor argued that computer science education continues to hold significant relevance. 'Studying computer science is a different answer than learning to code, but I would say I still think it's extremely valuable to study computer science,' he said.
As generative AI tools like OpenAI's Codex and competitors like Anthropic's Claude Code and Replit begin handling much of the coding process, Taylor believes the engineer's role will evolve, but not disappear.
"Your job as the operator of that code-generating machine is to make a product or to solve a problem," he explained. "Systems thinking is always the hardest part of creating products."
Why a computer science degree still counts
Computer Science and Information Systems programmes are more than just paths to learn code. These disciplines lay the intellectual foundation for understanding the systems that power everything from digital banking to biomedical technology.
by Taboola
by Taboola
Sponsored Links
Sponsored Links
Promoted Links
Promoted Links
You May Like
30 Beautiful women who lived 80-100 years ago
chillinghistory.com
Undo
With the rise of AI, cloud computing, and data analytics, these courses train students not merely to use technology, but to shape it.
Taylor pointed out that the value of a CS degree lies in mastering the deep concepts behind code. "There's a lot more to coding than writing the code," he said. "Computer science is a wonderful major to learn systems thinking."
He listed topics like Big O notation, complexity theory, randomized algorithms, and cache misses as core to what makes computer science an enduringly valuable field.
Here are the top 5 US colleges where you can pursue your Computer Science courses.
Top 5 US colleges to study Computer Science
According to the QS World University Rankings by Subject 2025, the United States is home to some of the most prestigious and forward-thinking institutions in Computer Science and Information Systems. These universities combine research, employer credibility, and academic excellence to prepare students for a world where understanding how systems work is just as important as writing code.
Stanford University – Palo Alto, California
THE Subject Rank (2024): 2
Overall Score: 96.4
Research Quality: 99.6
Industry Engagement: 100
Stanford isn't just at the heart of Silicon Valley—it's the engine behind it. With Bret Taylor as an alumnus, the university leads in AI research, systems architecture, and product innovation. Its perfect industry score reflects deep ties with companies like OpenAI, Google, and Nvidia.
Why it stands out
: Stanford blends elite teaching (97.5) with world-class research (97.3), giving students a true systems-thinking education.
Massachusetts Institute of Technology (MIT) – Cambridge, Massachusetts
THE Subject Rank (2024): 3
Overall Score: 96.2
Teaching Score: 99.2
Research Quality: 99.7
Industry Engagement: 100
MIT remains synonymous with computational excellence. Its emphasis on theory, algorithm design, and emerging technologies like quantum computing and synthetic intelligence makes it a powerhouse. The school's Employer Reputation and research culture are unmatched.
Why it stands out: MIT leads not just in producing technologists, but in producing inventors of the next wave of technology.
Carnegie Mellon University (CMU) – Pittsburgh, Pennsylvania
THE Subject Rank (2024): 4
Overall Score: 96
Research Quality: 99
International Outlook: 84.2
CMU is revered for its focus on robotics, software systems, and computer vision.
While its teaching score (73.1) is lower than peers, its high research quality and international standing make it an elite choice for students wanting to tackle real-world computing challenges.
Why it stands out: CMU was one of the first to offer a dedicated AI undergraduate program—proof of its future-forward thinking.
Harvard University – Cambridge, Massachusetts
THE Subject Rank (2024): 6
Overall Score: 94.8
Research Environment: 99.9
Teaching Score: 97.3
Harvard's approach to computer science is both interdisciplinary and rigorously technical.
With a perfect research environment score and growing AI and ethics labs, Harvard produces not just software developers—but thought leaders who understand the social implications of code.
Why it stands out: Employers give Harvard graduates a perfect score for readiness, ethics, and leadership potential.
Princeton University – Princeton, New Jersey
THE Subject Rank (2024): 9
Overall Score: 93.5
Teaching Score: 98.3
Research Quality: 98.9
Industry Engagement: 96.9
With an emphasis on theory, cryptography, and computer security, Princeton's computer science department equips students to tackle foundational and futuristic challenges. Its close collaboration with both academia and industry makes it a standout in systems-level research.
Why it stands out: Few schools score so consistently across teaching, research, and industry ties, making Princeton a holistic choice for CS education.
Ready to navigate global policies? Secure your overseas future. Get expert guidance now!
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

GPT-5 Launch Set for Tonight: Sam Altman Teases Major Upgrades in OpenAI Livestream
GPT-5 Launch Set for Tonight: Sam Altman Teases Major Upgrades in OpenAI Livestream

Hans India

time21 minutes ago

  • Hans India

GPT-5 Launch Set for Tonight: Sam Altman Teases Major Upgrades in OpenAI Livestream

OpenAI is preparing to make waves in the AI world yet again with the highly anticipated launch of ChatGPT-5, scheduled for tonight. The livestream is set to begin at 10:00 AM Pacific Time, which is 10:30 PM IST, and will be broadcast on OpenAI's official YouTube channel. While the event link is yet to go live, it's expected to be made available shortly before the stream begins. OpenAI may also share the event on its official X (formerly Twitter) page, based on its past event practices. Anticipation around this launch has been growing for months, particularly as OpenAI CEO Sam Altman has hinted at significant upcoming developments. He previously teased "a ton of stuff" in the pipeline — encompassing not only GPT-5 but also a host of new products and AI tools. With such statements building momentum, all eyes are now on what OpenAI will unveil. The arrival of GPT-5 has been delayed several times, but signs now point to a launch that was worth the wait. Leaks and hints suggest that GPT-5 will be a major evolution from its predecessor, GPT-4. Users can expect noticeable improvements in performance, including faster response times, better reasoning abilities, and advanced multimodal support — meaning the model might now handle not just text, but also images, voice, and possibly even video. Several versions of GPT-5 have already appeared on GitHub Models, hinting at a more modular and adaptive AI ecosystem. These include: GPT-5 for complex reasoning and multi-step problem-solving, for complex reasoning and multi-step problem-solving, GPT-5-mini and GPT-5-nano for lightweight, budget-friendly, and low-latency tasks, and for lightweight, budget-friendly, and low-latency tasks, GPT-5-chat, a variant designed specifically for deep, contextual, and human-like conversations, especially for enterprise users. These variants are accessible via the GitHub Models API and playground, allowing users and developers to explore the new capabilities ahead of general rollout. Perhaps the most talked-about rumored feature is autonomous task handling. Instead of walking the model through every step of a task, users may soon be able to issue a single prompt and let GPT-5 take over from there — a significant leap toward true AI assistance. If implemented effectively, this would mark a dramatic shift in how users interact with AI for productivity, project management, and complex workflows. Another key improvement expected is enhanced memory. This would allow GPT-5 to recall past interactions, maintaining context over longer conversations and offering more personalized responses — a feature that could change the game for both casual users and businesses. While full access details and pricing tiers remain under wraps, speculation continues around whether OpenAI will open-source any part of GPT-5 or restructure its free and paid subscription models. With all these enhancements potentially bundled into a single, more unified experience, GPT-5 is poised to redefine how AI integrates into our digital lives. Stay tuned as OpenAI goes live with its biggest update yet.

Trump plans 100% tariff on chips made outside U.S.; OpenAI's GPT-5 nears release; Apple to invest $100 billion in U.S. manufacturing
Trump plans 100% tariff on chips made outside U.S.; OpenAI's GPT-5 nears release; Apple to invest $100 billion in U.S. manufacturing

The Hindu

time21 minutes ago

  • The Hindu

Trump plans 100% tariff on chips made outside U.S.; OpenAI's GPT-5 nears release; Apple to invest $100 billion in U.S. manufacturing

Trump plans 100% tariff on chips made outside U.S. U.S. President Donald Trump said that he will be imposing 100% tariff on computer chips unless they're manufactured within the U.S. The threat has raised the fears around higher prices of electronics, automobiles, household appliances and other essential electronic items. Trump's warning comes three months after he had said electronics would mostly be exempt from the heavy tariffs imposed by his administration. During the COVID-19 pandemic, a shortage of chips pushed up the price of autos causing increased inflation. Investors have said that the tariff exemptions were a plus for Apple and other major tech companies which have invested massive amounts of money in chip manufacturing outside the U.S. Apple has committed to investing $600 billion in the U.S. with another $100 billion promised in February. Big Tech in total has said they will be investing $1.5 trillion in the U.S. since Trump has come to power. There is a chance that Trump could exempt Apple from the tariffs owing to this. Demand for chips has grown with sales increasing by 19.6% in June, according to data. Trump has been fostering domestic manufacturing often saying that the high costs of chips outside the country could be avoided by opening factories domestically. OpenAI's GPT-5 nears release OpenAI is preparing for the release of their latest flagship AI model, GPT-5, so users can finally see the increments in performance from GPT-4. A couple of people who have tested the model said that the coding capabilities of the model shone as did its ability to solve science and math problems. However, the advances from GPT-4 to GPT-5 were not as huge as the advances from GPT-3 to GPT-4. The recent advancement in AI models was based on scaling up by increasing training data and compute. But OpenAI has struggled with scaling up like issues with running into a data wall. Ilya Sutskever, the former chief scientist at OpenAI had said in a speech earlier that even though power could be expanded, data was becoming limited. Besides this, another problem was that the 'training runs' for large language models are more likely to have failures from hardware malfunctioning so researchers can't determine the final performance of the models until the end which can last for months. OpenAI released ChatGPT around three years ago introducing AI to the mainstream globally. The release led to rivals like Google and Anthropic releasing competitive AI models. OpenAI is also working on solving test-time compute which involves reasoning AI models. But CEO Sam Altman said that GPT-5 will be a mix of both reasoning and their flagship large language models. Apple to invest $100 billion in U.S. manufacturing Apple CEO Tim Cook met Donald Trump yesterday to announce an additional investment of $100 billion across the next four years. Under the announcement, Apple will bring more of their supply chain and advanced manufacturing processes to the U.S. as a part of the American Manufacturing Programme initiative but it still isn't a full commitment to make the iPhone domestically completely. Cook said that this plan will expand work with 10 companies across the U.S. that make parts and semiconductor chips. These partners include Corning, Coherent, Applied Materials, Texas Instruments and Broadcom along with a few others. Apple had earlier this year said that it will invest $500 billion domestically. Trump has been upset with Apple shifting their manufacturing processes to India from China after he placed tariffs. Just recently now, Trump is targetting India due to their purchase of Russian oil and imposed additional tariffs on India. Cook has previously said that a bunch of iPhone components can be made in India like the glass display and module to identify faces.

Lizard vs. Snake Venom: Australian lizard develops immunity to deadly snakebites
Lizard vs. Snake Venom: Australian lizard develops immunity to deadly snakebites

Time of India

time30 minutes ago

  • Time of India

Lizard vs. Snake Venom: Australian lizard develops immunity to deadly snakebites

In a discovery that could influence future antivenom development, scientists have found that the Australian major skink (Bellatorias frerei) has evolved a natural immunity to potent snake neurotoxins. Despite sharing little in common with mammals like honey badgers and mongooses, these reptiles have developed a similar molecular resistance, targeting the same critical receptor that snake venom typically shuts down. The breakthrough offers new insights into how evolution arms certain species against their deadliest predators and opens doors for biotech researchers studying antivenom therapies and neurological protection mechanisms. Snake venom resistance rooted in muscle receptor mutation The major skink's secret lies in a mutation of the nicotinic acetylcholine receptor—a critical site targeted by snake neurotoxins to paralyze prey. This genetic tweak prevents venom from binding and disrupting nerve-muscle communication. Researchers observed that this modification mirrors similar adaptations in other distant species like mongooses and honey badgers, despite their evolutionary differences. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like With temperatures hitting 95°F, this is the mini air conditioner everyone's buying in the U.S News of the Discovery Undo The phenomenon is being hailed as an example of "convergent evolution"—where different species arrive at the same biological solution to a shared threat. According to zoologist Bryan Fry, one of the study's co-authors, evolution seems to repeatedly 'hit the same molecular bullseye' when it comes to venom resistance. This adaptation has independently emerged in at least 25 different skink lineages. Some variations also involve sugar molecule barriers and altered protein building blocks that further block venom activity. These defenses suggest that over millions of years, natural selection has equipped these reptiles with a robust biochemical shield. Breakthrough insights into future antivenom development By simulating snakebites using synthetic peptides and receptor models, scientists confirmed that the skink's altered receptors didn't react to venom the way normal ones do. The implications are profound—not just for evolutionary biology, but also for medicine. With better understanding of how certain species naturally neutralize toxins, researchers believe they can engineer more effective and universal antivenoms. This could be especially critical in regions like Australia, home to some of the world's most venomous snakes. An ancient arms race with modern-day medical potential The discovery underscores the biological arms race that has been unfolding for tens of millions of years between predators and prey. While venomous snakes evolved deadlier toxins, some prey species countered with molecular adaptations. Scientists now hope that decoding these evolutionary defenses will yield biomedical tools not just for treating snakebites, but possibly for broader neurological applications, including treating paralysis and neurodegenerative diseases.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store