Huang defends Nvidia’s moat: ecosystem, supply chain and CUDA. And he argues that cutting off China would weaken the United States.

Salvatore Sanfilippo argues that coding agents should be switched constantly, because the model matters more than the wrapper.

Sanfilippo argues AI is already reshaping programming, but art still depends on human taste, selection, and judgment. He sees today’s worst failures in music, audiobooks, and slop, not in creativity itself.

Antonio says AI has made polished coding tutorials less useful, so he is shifting to workshops that show debugging, architecture, and judgment.

Kleppmann explains why cloud and AI do not make systems simpler, but instead change which trade-offs you need to understand.

Flickering is a minimalist Arduino-based courtesy light, presented as a design gadget and offered in pre-sale.

Sanfilippo explains why DeepSeek v4 Pro could be the first open-weights model really close to closed systems, and why price remains the decisive problem.

Bob Lazar and Luigi Vendittelli discuss the new film about S-4 and revive the old question: how much of the story is verifiable, and how much is still faith?

Ferriss sees AI as an amplifier that can worsen work, anxiety, and inequality. For him, the real issue is choosing the right game before accelerating it.

狭いニッチ、素早い製品化、即時の顧客獲得、必要なときだけ資金調達——ゼロからAIビジネスを始めるための実践ガイド。

Huang sostiene che i TPU non minacciano Nvidia perché l’azienda vende una piattaforma di calcolo più ampia, non un chip per l’IA.

Naval explains how coding agents are changing software, venture capital, and the iPhone — and why he thinks pure software is losing value.

Zenz and Roner explain why agents are speeding up work but also complexity, and why Pi tries to keep the human in the loop.

OpenAI’s miss, the AI capex boom, and the Musk lawsuit all point to the same bottleneck: power, not demand, is now deciding the market.

Spiegel explains why durable consumer products are rare, how Snap tries to defend itself from copying, and why Specs is his bet on the next computer.

Why a badly chosen shard key can skew data and traffic, and when hashing beats fixed ranges. Ben Dicken explains it with concrete examples.

Anthropic, Microsoft e Google: i segnali che l’economia dell’AI sta diventando più dura, secondo il narratore di The Prime Time.

A tiny Python exploit allegedly exposed a Linux kernel flaw in minutes, and the speaker uses it to argue that AI is changing both attack speed and patching workflows.

Galloway dice che l’AI è sopravvalutata come minaccia occupazionale ma sottovalutata come forza di disuguaglianza, marketing e solitudine.

Ravikant argues that AI is already reshaping companies, hardware, and war, while the sector concentrates in a few hands.

カーパシーが、AIをコード補助ではなく新しい計算層として捉える理由を整理する。検証可能性、agentic engineering、人間に残る理解まで追う。

Palihapitiya links AI, inequality, and platform power in one thesis: the central issue is who controls attention, money, and narrative.

DeepSeek v4 Flash runs locally on 128 GB, but Sanfilippo shows that the real bottleneck is prefill, not the answer.

Anthropic, OpenAI, and the Pentagon clash over military AI. The video explains why this fight is about power, contracts, and accountability.

Roslansky lê o mercado de trabalho como um reset de competências, não como uma simples destruição de vagas. Estes são os cargos que, segundo ele, realmente crescem.

White says technical training is not wasted, and that AI rewards people who adapt rather than worship programming.

Harvey’s CEO explains how AI is changing legal work, and why he thinks human judgment remains the decisive advantage.

Theo sostiene che l’HTML stia diventando un formato migliore del Markdown per gli agenti: più leggibile, interattivo e utile nei flussi di lavoro.

Iñigo Medina argues AI will layer onto software rather than replace it, and that companies need history, not hype, to adapt.

Graham explains why founders should spend time in Silicon Valley and why Stockholm may benefit if they return.

Nish spiega perché HydraDB punta sul contesto, attacca i vector database e racconta come un messaggio brutale abbia sbloccato la crescita.

LeCun explains why he sees LLMs as a dead end for general intelligence and is betting on world models, Tapestry, and more local AI.

Sanfilippo explains why passing tests are not enough and why LLMs could become virtual QA. He also offers a critical reading of the Banne rewrite in Rust.

She left Google with four offers in hand and explains why tech now rewards timing, referrals, and AI adaptation.

Andreessen defends police tech, attacks wealth taxes, and explains why he thinks AI is the biggest productivity wave of his career.

Theo Browne attaque Google sur l’IA, le terminal et le cloud : modèles chers, CLI défectueuse, confiance interne brisée.

Matuschak argues that code agents can break app silos and unleash new invention in interfaces. The risk, he says, is that technical culture keeps slowing what these tools promise to enable.

Open Code के सह-संस्थापक डैक्स राड बताते हैं कि एआई टीमों को तेज़ बनाती है, लेकिन अपने-आप बेहतर उत्पाद नहीं देती।

Ravikant y tres fundadores describen cómo la IA está desplazando el valor del código al juicio, de la salida a la fábrica que la produce.

ThePrimeagen argues that people who truly love programming should stay close to the code. He also describes how AI changed the way he builds and enjoys work.

Strauss Zelnick defends AI as an efficiency tool, but shrinks its creative claims: successes, he says, still come from taste and risk.

Google’s $80 billion raise became a fight over AI’s real economics: revolution, hype, or both. The speakers argue over capex, adoption, and who captures the next layer of value.

Why an old Go fan says the language is betraying its identity, and why he now sees Odin as the more coherent alternative.

Sutton argues that generative AI imitates well but discovers nothing. To reach artificial creativity, evaluation, selection, and shared goals are needed.

A network engineer explains how certificates, internships, contract work, and salary negotiation helped him move from $12 an hour to a $120,000 offer.

Gregor Hohpe argues that a good architect reduces risk and complexity rather than imposing answers. His measure is simple: help others make better decisions.

A clear primer on bipolar transistors, from NPN and PNP structure to biasing, saturation, package types, and common amplifier configurations.

Lütke describes Shopify as a company already reorganized around agent AI and says that judgment, taste, and human responsibility will matter more in the future.