#Artificial-Intelligence
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Mathematics is a subject for the young
The post argues that AI is changing mathematics faster than ever, shifting the field from proof scarcity to proof abundance. It calls for protecting young researchers’ ideas, better data rules, open infrastructure, and new ways to assign credit.
Seeing like a spreadsheet
The spreadsheet made calculation cheap, turned firms into objects to optimize, powered private equity and financial engineering, and now serves as the article’s warning for how AI may reshape corporations again.
Interview: Firefox's chief on why he hopes a redesign will help win users from Chrome
Mozilla says the Firefox 157 redesign aims to make the browser feel modern, create more reasons for users to choose it, and support the open web without losing focus on performance, compatibility, and enterprise needs.
If AI is a weapon, why don't we regulate it like one?
The post argues that frontier AI is becoming a weapon with military and civilian destructive potential, so governments will try to control it just as they control other weapons that can threaten the state.
If You Want to Get in the Tech Space: Become A Software Developer
The article argues that software development remains in demand despite AI tools and layoffs, and says the path in starts with computer science knowledge and practical projects.
Meta planning sweeping layoffs as AI costs mount
Reuters reports that Meta is preparing layoffs that could hit 20% or more of staff as it tries to offset heavy AI infrastructure spending and adjust to AI-assisted work.
The Adolescence of Technology
Amodei argues that powerful AI is near and can pose autonomy, misuse, authoritarian, economic, and indirect risks, so the response must combine safeguards, transparency, regulation, and coordination.
Why API-First Matters in an AI-Driven World
The article argues that API-first becomes more important as AI agents and LLMs depend on APIs for access, workflows, and discoverability, and it outlines principles, drivers, benefits, and responses to common objections.
AI isn’t “just predicting the next word” anymore
The post argues that modern AI has moved beyond simple next-word prediction: newer systems solve problems through path-finding, use tools and feedback, and already show useful and risky abilities.
The New Artificial Intelligentsia
Ruha Benjamin argues that AI evangelists wrap self-interest in humanistic language, reuse eugenic logics, and justify power, inequality, and harm through inevitability, safety, and future-oriented promises.
Software Is Dead — Long Live Software
A recent software sell-off is treated as evidence that SaaS is dying, but the piece argues that this reading is too broad. It says that AI is still software, the cloud and automation expand markets, and the defense comes from workflow, data, and trust.
Terence Tao: AI should not be a monopoly held by one or two companies
Terence Tao says AI is powerful but still limited, useful as an assistant, and risky for deepfakes and trust. He also warns against monopoly control and calls for some regulation.
Mission: Impossible - The Final Reckoning
A page reads The Final Reckoning as a conclusion that puts the franchise before AI, information manipulation, excessive surveillance, and ethical dilemmas, with Ethan Hunt running against the chaos created by the Entity.
Design for AI - the Invisible Features
The text argues that the best experience with AI happens when it operates discreetly, understands context, predicts needs, and fails without breaking trust, almost without requiring an interface.
3 Ways AI is Contributing to Businesses Success
The text shows how AI, machine learning and automation already help companies with personalized service, more effective email campaigns, and future uses still expanding.
Three Things Artificial Intelligence did in 2016
The post highlights three 2016 AI milestones: AlphaGo beating the Go world champion, an AI generating a Rembrandt-style painting, and Google Neural Machine Translation producing translations and a language of its own.
Elon Musk, Neural Lace and the Apocalypse
The text brings together Elon Musk's concerns about AI and presents neural lace as a possible response: a bridge between the cortex and a digital extension to bring humans and artificial intelligence closer together.
CEOs Start Saying the Quiet Part Out Loud: AI Will Wipe Out Jobs
Ford's CEO predicts AI replaces half of white-collar work; Amazon, JPMorgan and Anthropic executives make similar bets in public for the first time, while OpenAI's COO pushes back.
Elon Musk says there's only one AI company that has him worried
At Code Conference 2016, Elon Musk said exactly one AI company worries him, then refused to name it despite repeated prompting from the interviewers.
From Words to Worlds: Spatial Intelligence is AI’s Next Frontier
The essay argues that spatial intelligence is the next AI frontier because world models can connect perception, action, and generation in ways language models cannot, with uses in creativity, robotics, science, healthcare, and education.
How The Times Is Digging Into Millions of Pages of Epstein Files
The Times describes how a large team uses search, verification and A.I. tools to sift millions of Epstein-file pages, while stressing caution with unverified claims and redactions.
Why Google’s Soaring Stock Is Defying Fears of an AI Bubble
Alphabet has outperformed other tech stocks while keeping advertising revenue strong, advancing in AI with Gemini 3 and in-house TPU chips, and funding heavy spending with relatively low debt.
The State of AI: Global Survey 2025
McKinsey reports that AI use is broadening, but most organizations are still in pilots. The strongest results come from firms that redesign workflows, pursue growth and innovation, and scale AI agents.
Silicon Valley’s Dream Tech Job Is Disappearing
Big tech jobs have lost the perks, openness, and security that once made them coveted. Layoffs, tighter control, and AI fears have made workers feel replaceable and more cautious.
The Rise of Silicon Valley’s Techno-Religion
The article portrays Lighthaven and the Rationalist-Effective Altruism network as a near-religious force in AI, shaping tech culture, funding, careers, and fears about humanity’s future.
Technology, Symbols, and How Reality Loses Its Meaning
The article uses Baudrillard to argue that media, algorithms, and AI push us from reality toward simulacra, overload meaning, and reward sameness, while creativity and agency require resisting that drift.
Human-Level AI Is Right Around the Corner—or Hundreds of Years Away
IEEE Spectrum collects expert forecasts that range from decades to centuries for human-level AI, with disagreements over timing, what counts as human-like intelligence, and the main risks.
Why Your Software Developer May Soon Be Replaced by a Robot
The article argues that software is increasingly used to design and manage other software, with automation taking over more testing, deployment, and server management. Developers may remain, but the role is likely to change as A.I. advances.
The Software Revolution
The software revolution, according to Altman, will create wealth while destroying jobs and concentrating power. He argues that AI and synthetic biology make it easier for small groups to cause harm, so society should build safeguards and better responses.
Bill Gates is worried about artificial intelligence too
Bill Gates says artificial intelligence could become a serious concern in the coming decades, even if it first boosts productivity. He also says programming will remain useful.
A Glimpse of Artificial Intelligence
The post describes how an emailed auto glass appointment was parsed into a Google Calendar event, then paired with traffic-aware phone alerts and directions, creating the feeling of a personal assistant without sci-fi technology.
The Game of Go: A Programmer's Perspective
The post explains why Go is hard for AI programs and summarizes the methods that improved them: random playouts, bandit algorithms, limited expert knowledge, parallelization, and reinforcement learning.