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Fields Medalist Terence Tao: "AI lets us create scientific output much faster, but it could come at the cost of nurturing the next generation of scientists" If AIs replace grad students, they may produce grad-student-level papers — but we risk losing the next generation of scientists
Haider.227,584 次观看 • 12 天前
Creator of C++, Bjarne Stroustrup: AI-generated code isn't ready — it generates more bugs, more bloat, more security holes, and is nearly impossible to validate "senior developers are already retiring rather than deal with it" The problem is that even a small prompt change can shift the entire codebase in unpredictable ways
Haider.1,751,025 次观看 • 3 个月前
Yann LeCun says there is no such thing as general intelligence Human intelligence is super-specialized for the physical world, and our feeling of generality is an illusion We only seem general because we can't imagine the problems we're blind to "the concept is complete BS"
Haider.2,750,585 次观看 • 8 个月前
Sam Altman says Slack has many positives, but it creates endless fake work We need an AI-native productivity suite to replace docs, slides, email, and Slack Not add-on features, but trusted agents that handle work and only escalate when needed This finally feels within reach
Haider.3,107,671 次观看 • 10 个月前
Microsoft AI CEO, Mustafa Suleyman: "in five years, everyone will have an AI companion that knows them deeply what they see, hear, prefer, and feel" It won't just assist It will live life alongside you, an ever-present friend helping you navigate life's biggest challenges
Haider.2,309,800 次观看 • 7 个月前
Anthropic's Boris Cherny says coding is moving to a higher level of abstraction A year ago, the workflow was writing code in an IDE, then prompting multiple Claude instances in parallel. Now, it is writing loops that prompt Claude and figure out what to do "the next transition is coming this year"
Haider.526,682 次观看 • 3 个月前
Mathematician Terence Tao: Training and running LLMs isn't mathematically difficult; any math undergrad could understand the basics The mystery is that we have no theory to predict why models excel at certain tasks and fail at others "we can only make empirical experiments"
Haider.1,218,513 次观看 • 8 个月前
Perplexity CEO Aravind Srinivas says the biggest threat to data centers is intelligence that runs locally on your device If models run on your own chip, they can watch your workflow and adapt via "test time training" without data ever leaving your computer "you own it. it's your brain"
Haider.855,520 次观看 • 8 个月前
