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The article presents a hypothetical narrative of a saint taking over big tech to improve products, critiquing current issues like engagement-driven algorithms and the decline of community-owned wikis.
The article introduces system design for big tech interviews, explaining the concepts of High-Level Design (HLD) and Low-Level Design (LLD) with examples and key considerations.
Big Tech AI capital expenditure is on track to exceed $730 billion this year, representing infrastructure spending on a scale comparable to a new industrial era or a historic bubble.
The article explores whether chip demand can persist amid growing concerns over AI spending, arguing that positive ROI from AI investments will sustain spending and eventually benefit smaller companies.
The Trump administration is increasing the H-1B visa fee to over $103,000, a move that targets Big Tech companies and could worsen labor shortages, while also planning to revoke visas of up to 200,000 asylum seekers.
The tweet speculates on the potential consequences for open-source AI models if Hugging Face were acquired by a large technology company for $13 billion.
This article examines how major technology companies have gained substantial influence over American schools, raising concerns about data privacy, educational content, and corporate control in the education system.
A new organization called RAISE US, backed by major tech companies including Amazon, Microsoft, and OpenAI Foundation, has launched with over $500 million in funding to advocate against universal basic income in response to AI disruptions.
The article questions whether large companies' ability to consume more AI tokens gives them an unfair advantage over startups, potentially undermining human meritocracy in software development.
The article compares Big Tech's manipulation tactics to those of Big Tobacco and Big Food, emphasizing the need for systemic regulation beyond individual scandals.
The article argues that major tech companies like Microsoft, Google, and Amazon are discontinuing support for open-weight AI models, potentially leading to a monopoly in enterprise AI due to their investments in OpenAI and Anthropic.
This article critiques major technology companies for failing to deliver impactful new products or features despite significant AI investments, questioning the tangible results in the industry.
A deep-dive on how the 'censorship-industrial complex' narrative moved from the right-wing fringe to mainstream US policy, affecting the internet and global information ecosystems.
Ars Technica interviews Claire Stapleton about her new memoir 'Don't Be Evil', detailing her journey from Google insider to organizer of the 2018 walkout and her disillusionment with the company's culture.
Gergely Orosz pushes back on the claim that Google never built anything internally, citing Gmail, Google Docs, Google Cloud, and Waymo as internally-built billion-dollar businesses.
An interviewer shares observations from intensive interviews with post-00s R&D interns: they generally have internship experience at big tech companies and now prefer joining AI-focused startups, having become disillusioned with big-tech processes and career paths.
This article examines the massive off-balance-sheet AI-related commitments of big tech companies, arguing that the 'Enron' comparison is overblown. However, it warns that circular financing, aggressive accounting, and the 'big market illusion' deserve close attention, and discusses the cross-investments and financing risks among companies like Nvidia and OpenAI.
An investigation into how conspiracy theories about a 'censorship-industrial complex' moved from the online fringe to Trump administration policy, culminating in the shutdown of government disinformation-tracking units like the State Department's R/FIMI hub.
Microsoft's quantum chief Zulfi Alam dismisses scientists' skepticism about the company's Majorana quasiparticle evidence, citing commercial sensitivity and the slow pace of peer review, while critics demand raw data and independent verification.
A critical opinion piece arguing that Meta's AI strategy is unfocused and reactive, and that Zuckerberg's recent upbeat messaging on AI is a PR move to mask the company's lagging position.