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The article compares the rise of large language models to the 1990s database boom, arguing that models may become ubiquitous and unnoticed—just like SQL engines today. It suggests the real story won’t be flashy launches but the “SQLite” of AI: the model everyone uses by default without ever choosing it.
The article argues that AI buyers give away proprietary knowledge when they feed data into models, creating an asymmetry where providers learn from user inputs while customers gain little insight in return. It calls for enterprises to build private learning environments, control their evaluation metrics and data traces, and decouple orchestration from specific models to protect and compound their unique intelligence.
Law firms lag behind AI’s rapid technical advances because they treat tools like add-ons instead of rebuilding workflows around them. The real opportunity lies in “absorption”—writing firm-specific practices into models, training lawyers on prompt anatomy, and embedding new procedures at the practice level. Those who tear up the old billable-hour floor and automate production will secure a lasting edge.
This article lays out a day-by-day packing list for the Tour du Mont Blanc trek, covering clothing layers, footwear, backpacks and extras to handle sudden weather changes. It breaks items into categories like tops, bottoms, headgear and gear so you can balance weight with preparedness.
On day one of joining a startup, a CTO handed me this article as essential reading. It lays out core practices and common pitfalls every founder and early team member should know before scaling.
This article lays out a six-phase process for an AI agent to methodically mine, analyze, and reflect a user’s entire history of AI sessions. It details precise steps—from excavating archives to delivering actionable insights and tool reconfigurations—ensuring each phase has clear gates, evidence requirements, and user approvals.
A developer released Knockoff, a Chrome extension that dims or hides over a dozen mass-produced knockoff brands on Amazon. You install it from knockoff.shopping to filter out listings from brands like WNPETHOME, EHEYCIGA, YXYL and others.
Laguna XS 2.1 is a 33B Mixture-of-Experts model with 3B activated parameters per token, tuned for agentic coding and long-horizon tasks on local machines. It outperforms XS.2 on SWE-bench Multilingual by 5.4 points, adds support for major runtimes, offers FP8/INT4/NVFP4 checkpoints, and runs with a permissive OpenMDW-1.1 license. You can access it via API, OpenRouter, or locally with quantized or DFlash-boosted builds.
Paul Graham argues that beyond talent and grit, great work springs from an obsessive, disinterested interest in a topic that matters. Such obsession both reveals hidden paths and fuels persistence, and taking many high-risk, high-reward bets—even wasteful ones—can lead to breakthrough ideas.
This guide shows how to unlock Fable 5’s real power by setting up a local context folder, memory file, and reusable skills so the model remembers your business and workflows. It also explains the key /goal and /loop commands for multi-day, hands-off tasks and offers tactics to cut token costs by 60-80%.
This article argues that a new wave of solo entrepreneurs is using AI to produce company-scale output by mastering one key skill: setting up AI with full context, tools, and automated routines. Those who learn to orchestrate AI like a workforce can generate what used to require a team and capture the high value that follows.
This post asks whether developers you know—or you yourself—have lost their sense of calm amid relentless project demands. It’s a direct nudge to recognize stress and burnout in software engineering.
This guide breaks down 12 steps to automate a quant desk inside one platform: from scheduled research and thesis writing to strategy backtesting, paper trading, and live execution. It highlights verifier gates—trade audits, paper runs, and alert-only tests—to ensure the loop refines itself and controls risk at every stage.
This article walks through a DIY outbound sales system using GLM-5.2 to spot fresh company signals, score and rank accounts, draft personalized openers, and self-evaluate before sending. It covers setup, dry-runs, free public signal sources, scoring logic, trigger-grounded messaging, an eval gate, and a learn loop on a schedule.
This guide shows how to automate your outbound sales workflow using OpenAI’s Codex plan. It walks through setting up signal detection, scoring accounts, drafting messages, reviewing outputs, logging results, and running a daily cron job that learns from outcomes. The goal is to spot buying triggers early and feed a human-approved message queue each morning.
This article breaks down the gap between your prompts (the map) and the real codebase (the territory) into four types of unknowns and shows how to uncover them. It offers concrete prompting patterns—blindspot passes, brainstorms, interviews, references, and implementation plans—to surface issues before, during, and after coding with Claude Fable 5.
The article argues that even the best products can fail if companies lack proper corporate governance to guard against profit-driven predators. It reviews Eric Ries’s new book, Incorruptible, which outlines alternative governance structures—like “mission-locked” setups—to protect founders, culture, and long-term vision.
The article tracks how AI competition has expanded from model performance to controlling hardware, data centers, models, and applications. It shows how major players—model-first labs, application startups, cloud providers, chip makers, and Google—are moving up and down the stack to protect margins and capture value.
This page catalogs community-built apps, games and UI resources. It covers templates and starters for landing pages, dashboards, blogs, e-commerce, AI, animations, design systems and more.
The author uses experience at startups and leading AI companies to pinpoint which skills will matter as AI handles routine tasks. He argues you should focus on scarce resources—time, relationships, reputation—learn to spot high-impact problems, and polish the last mile of work. He also explains how to boost your career by choosing ambitious challenges, improving efficiency in front of goal, and even breaking into research on your own.
The tweet tells engineers to forward their toughest technical challenges to Fable, implying the platform can tackle complex problems. It pitches Fable as a go-to resource for difficult engineering questions.
NetExec is the unified, open source continuation of CrackMapExec, originally created in 2015 by byt3bl33d3r and maintained by mpgn_x64 until 2023. A group of core contributors merged private and public code bases, streamlined development, and now publish regular updates under the new NetExec name.
Etched announced a working inference chip and over $1 billion in signed contracts after emerging from stealth with $800 million raised and a $5 billion valuation. Their rack-scale system, built on TSMC’s N4P process, is already running models like DeepSeek, Qwen and Llama, and production is ramping at new Taiwan and San Jose facilities.
This MIT course focuses on estimating answers and tackling problems through intuitive shortcuts instead of formal proofs or exact calculations. It covers guesswork techniques and heuristic strategies to quickly arrive at useful results.
This post points you to reading material suited for two very different moods: one when you feel lost and another when you’re riding high. It highlights selections that match your current state, whether you need direction or want to deepen your enjoyment.
This tweet from @nadiar_f shares an Amazon affiliate link for a book recommended by @p_millerd. It gives readers a quick way to buy the suggested title online.
An Instagram post asked self-identified straight men to share the gayest thing they’d ever done. One guy admitted the gayest thing he’s done was raising his hand in a club when the DJ asked who had a birthday. TAGS: instagram, social-media, straight-men, lgbtq, club-culture
Salesforce integrated Anthropic’s Claude Tag into Slack, creating a persistent AI agent that overlaps with its own Slackbot and Agentforce features. Employees fear this third-party tool could undercut Salesforce’s in-house AI offerings even as the company promotes an open-platform strategy.
Amazon’s contract with Anthropic will move to per-token billing next year, threatening a steep spike in costs for services like Kiro, Quick and Alexa Shopping that use Claude. To curb expenses, Amazon is exploring OpenAI’s models. Meanwhile, Anthropic is deepening ties with Google Cloud and a recent security dispute has driven a wedge between the two.
A developer leaked Anthropic’s real .claude folder containing 33 skills, a verifier subagent, and a seven-file harness. After integrating it locally, Claude stopped generating pointless tests and redundant confirmation prompts. The entire setup is now on GitHub with a one-line install script.
A team member at Anthropic shared the exact LOOPS.md file Andrej Karpathy uses. When loaded into Claude, it shifted the model from generic replies to responses tailored to the user’s thinking. The approach highlights building a system prompt layer rather than chatting directly with the model.
Sebastian Raschka announced that his latest book is now shipping from Manning and available for preorder on Amazon, with Amazon orders shipping in a few weeks. The tweet links directly to the Manning store and the Amazon preorder page.
Will Manidis argues that the saying “hard work leads to greatness” is misleading. True excellence comes when your work feels as natural as breathing—if it feels like a grind, you’re in the wrong pursuit.
This article applies scaling laws and unit economics to data collection in robotics, arguing that raw data volume isn’t the key metric. It breaks robot data into observational, interventional, and deployment streams, then shows how novelty and diversity drive model performance per dollar.
Japanese telco KDDI left an Elasticsearch cluster unsecured, leaking login details for 142 million managed email accounts. The misconfiguration went unnoticed for weeks before security researchers alerted KDDI, forcing the company to lock down its database and warn affected users.
This post lays out a curated list of books spanning history, science, philosophy, economics and literature to help broad-minded learners build a solid foundation across disciplines. Each recommendation comes with a brief note on its importance for generalists seeking context and depth in multiple fields.
A college student shares that at the start of every term they reread Richard Hamming’s classic essay on doing significant research. The post highlights its reputation as a mind-shifting read that reshapes how you approach work and problem-solving.
Over the next 30 weekdays, Arman Hezarkhani will profile one AI pioneer each day, sharing personal and actionable stories behind key founders and researchers. The series aims to reveal how these individuals shaped today’s AI landscape.
This post lists 11 subtle red flags that can turn VCs off, from over-polishing your deck to being too available or not knowing your numbers. It highlights common investor pet peeves and shows how certain behaviors signal desperation or lack of prep.
This thread lays out a step-by-step method to go from $0 to $1K MRR in 25 days using iOS search ads and RevenueCat integration. It covers market research, onboarding optimization, hard paywall pricing, Apple Search Ads setup targeting competitor keywords, and a feedback loop using scheduled data exports to scale winning campaigns.
This piece jokes about relying on “hope” instead of tests or planning in software projects. It pokes fun at developers who ship code and cross their fingers rather than following structured workflows.
ND Studio is looking for hardcore engineers and designers to tackle the most broken user experiences on Earth. Interested candidates can apply directly at ndstudio.gov.
This tweet argues that skimming 15-minute threads with bookmarks won’t replace the value of repeatedly reading the original ArXiv paper. It links to https://arxiv.org/abs/2606.24937 as an example of material best understood through direct, thorough study.
The author’s friend, an Anthropic engineer earning $1.2 million a year, shared an internal video on their core team’s prompting techniques. After watching it, the author realized they’ve been misusing Claude for two years and urges readers to watch the video before diving into the article.
This GitHub repo by Andrej Karpathy outlines four simple rules in 65 lines that boost AI coding accuracy from 65% to 94%. It covers thinking before coding, keeping implementations minimal, making surgical changes, and defining clear success criteria.
A therapist’s advice for when life feels empty but nothing’s wrong: grab a journal and answer ten questions with no editing or performance. The unfiltered exercise helps surface buried feelings and boost self-awareness.
A new free Claude skill called Ponytail just reached 58,000 GitHub stars and 2,900 forks in one week. It reportedly cuts generated code by 54%, lowers cost by 20%, and boosts speed by 27% when integrated into Claude Code.
A new free Claude skill on GitHub hit 58,000 stars and 2.9k forks in a week by optimizing Claude Code to use 90% fewer tokens. It produces 54% less code, runs 27% faster, and costs 20% less, letting you swap it into your Claude workflow immediately.
This article shows how to combine Obsidian for note capture, Claude Code for automated knowledge processing, and Hermes Agent for continuous task execution into a single system that scales a one-person company. Built in sequence, the vault accumulates raw inputs, the AI agent organizes and connects your knowledge, and a background agent handles repeatable tasks while learning from each run.
Iran captain Mehdi Taremi blasted FIFA and president Gianni Infantino for failing to resolve visa and travel issues that forced the team to base itself in Tijuana instead of Tucson. After a third draw left Iran’s knockout hopes hanging on other results, he called the tournament a “disaster” and questioned whether his side was welcome.
A small group of users who build robust AI systems with context, tools, and routines will soon vastly outperform everyone else still using simple prompts. This gap will turn into a barrier, giving early adopters outsized output, pay, and influence. The article argues anyone can join them by structuring data, workflows, and memory into their AI setups today.
This post highlights the first book that pulls together language modeling, inference optimization, reinforcement learning, system scaling, agentic AI, retrieval-augmented generation, memory, environments, and benchmarks in one volume. It then points you to paperswithcode.co’s “most cited” list and recommends reading the top ten papers, coding them, and writing about your findings.
This guide walks you through every step of creating an AI agent from scratch. It highlights tools and techniques that can shrink your build time from two weeks to a single day.
This post shares a two-week-tested prefix prompt designed to make an AI respond as a world-class expert. It instructs the AI to verify every fact, use step-by-step reasoning, avoid disclaimers or moralizing, and deliver detailed, assertive answers with explicit confidence levels.
This tweet urges you to pause and spend ten minutes reading an unspecified piece. It’s a straightforward call to action aimed at grabbing your attention and promising value if you invest a short amount of time.
An Anthropic team member shared the internal Claude.md prompt template that Andrej Karpathy uses. Applying this file made Claude stop resisting and deliver exactly the responses the author needed.
This article breaks down a quick, five-step security routine you run before every app launch—from legal basics and database lockdown to auth failure tests, AI-driven audits, and infrastructure protections. Spend 30 minutes on these checks to avoid data leaks, runaway bills, and legal headaches when real users arrive.
A viral video shows JPMorgan Chase DEI executive Angie Báez dumping a full trash can’s contents onto a Manhattan street to grab a Knicks-themed bin during the championship parade. After the New York Post raised the issue, JPMorgan confirmed Báez has been let go.
Tech billionaire Masayoshi Son unveiled an investor slide deck vowing not to retire for another decade, complete with a memorable goose metaphor. The viral presentation, praised by X user @edzitron, showcases SoftBank’s strategic roadmap and Son’s personal commitment to long-term leadership.
Anthropic released the claude-code-setup plugin, which scans your project and configures hooks, skills, servers, subagents, and automations step by step. Without it, Claude Code feels basic; with it, you get an integrated AI dev workspace. CLICKUP’s Brain² then layers in full company context so you never re-upload docs or re-explain projects.
This issue covers Apple’s return to design-led product development under incoming CEO John Ternus, WhatsApp’s new message animations on iOS, and AI world-model startup Odyssey’s $1.45 billion valuation. It also dives into the shift from T-shaped UX roles to cross-discipline “polymath architects,” non-developer AI system builders, the rise of SKILL.md for guiding AI coding agents, and the often-overlooked UX details that build trust in payment flows.
Mark Gurman argues that under Tim Cook, Apple’s design team lost clout after Jony Ive left and operations gained sway over product decisions. Incoming CEO John Ternus is reportedly rekindling top-level support for industrial design, spending time with Ive’s former team and gearing up to lead major product reveals like the foldable iPhone.
This article explains why non-linear “squiggly” careers can be assets in creative fields. Kat Wong says moving roles across industries fosters skill growth and networks, and only becomes a red flag when stints under a year reflect poor performance. She recommends building a solid track record and owning your unique path.
This roundup covers Amazon’s new Fire TV interface revamp, Getty Images’ licensing deal with OpenAI, and Higgsfield’s enterprise marketing agents built on NVIDIA. It also highlights deeper discussions on design taste, UX soft skills, Apple’s potential design shift, and the value of creative judgment and non-linear careers.
Higgsfield launched Supercomputer 2.0, an enterprise marketing automation agent built on NVIDIA’s Agent Toolkit that handles ideation, creative production and posting in one interface. It orchestrates over 35 image, audio and video models with policy guardrails and permission controls, claiming adoption by 78% of Fortune 500 firms and 12,000 businesses worldwide. To prove its speed, the startup used the platform to produce a 95-minute AI-generated film in just 14 days.
This article explains how Declarative Device Management (DDM) shifts Mac fleet monitoring from periodic, manual checks to real-time status reporting. Instead of waiting for scheduled inventory, each Mac reports changes—OS updates, app installs, configuration drifts—immediately, giving IT teams up-to-date compliance and security insights.
The article argues that enforcing uniform shapes and styles across icon sets limits each icon’s potential to be distinctive and memorable. It contrasts macOS’s original, varied icons—which excel individually—with modern, systematized icons that sacrifice uniqueness for easy consistency.
Designers face pressure to polish pre-made mockups instead of framing real problems, especially with AI tools enabling quick UIs. Pushing back by defining clear timelines, outcomes, and writing your own project summary helps you lead strategy, avoid commoditization, and build a portfolio that proves your value.
The article argues that rigid folder hierarchies no longer match how people or AI find information. It shows users forage for clues and AI retrieves by meaning, not location, and recommends multiple discovery paths—search, metadata, links and tags—to build a connected knowledge graph.
Tokyo illustrator Shunpei Kamiya turns everyday moments—commuters on a train, school corridors, supermarket selfies—into still, surreal paintings by adding unexpected twists like laser-eyed stares or rabbits leaping from screens. He uses flat gouache colors, resists photographic realism and leaves narrative gaps that invite personal interpretation while reflecting the sensory overload of modern Tokyo.
Adobe launched Firefly Graph in Creative Cloud, a visual tool that links AI models and editing steps into customizable, reusable workflows. It offers over 300 node types spanning Adobe apps and third-party tools, letting teams share and replicate creative processes. Enterprise customers get immediate access, while Creative Cloud for Teams can join a public beta.
This article introduces Agentic Experience (AX) Design, a new field focused on mapping and automating business workflows for autonomous AI agents rather than humans. It outlines the AX designer’s role—investigating real processes, structuring machine-readable systems, and defining guardrails—to ensure reliable, scalable automation.
The author warns that “agentic design systems” often blur the line between using AI for tasks and handing off core judgment to autonomous loops with no human oversight. He argues design systems are governance tools requiring human-owned gates and accountability, and that removing those humans risks unchecked drift.
Apple’s upcoming foldable iPhone Ultra overcame earlier hinge durability and assembly tolerance issues after extensive tests. Supply-chain reports say the 3D-printed hinge module problems are fixed and the device is now in test production ahead of a September launch.
Google Apps Script is now a core Google Workspace service with enterprise-grade data protection and technical support. Administrators who previously disabled Apps Script can re-enable it to deliver secure custom automations. No action is required for organizations that already had it enabled or for end users.
Bunny.net has dropped all DNS query fees and now offers free DNS hosting for up to 500 domains with no usage limits. They’ve also added features like IPv6 support, DNSSEC with NSEC Black Lies, and modern record types, while integrating DNS with their CDN and DDoS protection.
A security researcher launched whynopasskeys.com to list major apps and services—like Instagram, Netflix, and Spotify—that still don’t offer passkey login. Passkeys, tied to a user’s device and biometrics, beat passwords on security and convenience. Meta says Instagram only supports passkeys via Facebook linkage; Netflix and Spotify haven’t replied.
Data lakehouses combine low-cost, flexible storage with warehouse-style governance to power enterprise AI. Companies like DocuSign and Lemongrass use them to feed and train AI agents, but impose strict security reviews, access controls and audit trails. Vendors are adding vector indexing, MCP connectivity and semantic layers to ensure agents grasp business context and operate safely.
Superhuman Inc., the company behind Grammarly, has bought GPTZero to add AI-detection and authenticity checks to its Superhuman Go assistant. GPTZero’s tools flag AI-generated text, fake citations and plagiarism, and will now work alongside Superhuman’s own detector across a million apps and sites.
Anthropic has turned Claude into a persistent Slack bot that watches channels, answers questions, suggests tasks and can trigger actions without prompting. It acts like an “agentic” AI coworker, raising questions about privacy, control and user consent in workplace chats.
This issue covers major moves in AI and IT strategy, from Qualcomm’s $3.9B Modular buy to challenge Nvidia, to Anthropic’s always-on Claude Tag in Slack and Gartner’s warning that AI coding costs may exceed developer salaries by 2028. It also highlights data lakehouses as the new AI backbone, Bunny’s free DNS for edge adoption, Google Apps Script’s enterprise upgrade, and tools for secure credential management and real-time fleet visibility.
A Gartner report predicts AI coding expenses, driven by consumption-based token pricing, will exceed average developer salaries by 2028. Enterprises struggle with opaque billing and uncontrolled agent workflows, forcing CIOs to consolidate usage tracking and tie token consumption to business value.
OpenAI’s data productivity team built Kepler, an AI agent that understands their data platform context and writes iterative SQL to answer complex data questions. It handles table discovery, query refinement, follow-up prompts and even visualizations, cutting analysis time and reducing errors.
This newsletter covers major developments across data and AI, including DoorDash’s new Write-Ahead Intent Log for scalable CDC, OpenAI’s Kepler AI analyst for massive data insights, and Lyft’s Metric Semantic Layer for unified business metrics. It also reviews ClickHouse ingestion optimizations, DuckDB’s latest release and agent use cases, Databricks’ Lakehouse//RT and LTAP pushes, plus tools for self-healing pipelines and data quality monitoring.
Databricks introduced Lakehouse//RT—powered by the new Reyden engine—to deliver millisecond analytics directly on Delta Lake, removing the need for separate serving databases. The summit also revealed LTAP, which merges OLTP and OLAP on a single data copy, and Lakebase, a PostgreSQL-compatible engine, signaling a push to unify transactional, analytical, and real-time workloads.
SQLBuild plugs into an existing dbt project to fingerprint models, skip unchanged work, and clone production tables in development instead of rebuilding them. It stores all state in append-only warehouse tables, adds ingestion and Python nodes, and offers built-in testing, audits, and incremental processing with no external services.
Zalando replaced shared edge routing for high-fan-out internal calls with an in-process load balancer that mirrors Skipper’s consistent-hash ring. They built a standalone JVM module for hash-parity routing, switched to a watch-based Kubernetes informer, and overhauled their CI/CD pipeline to safely roll out traffic ramps. The change cut latency spikes, reduced costs, and boosted deployment velocity.
The article argues that technically sound data teams often stop at delivering dashboards and pipelines, failing to influence actual decisions. It introduces a three-layer Data-Perspective-Action framework and practical habits—like weekly one-pagers—to build the interpretive “Perspective” layer that links data work to business outcomes.
The article lays out a classification for how transactional (OLTP), analytical (OLAP), hybrid (HTAP), and LTAP systems relate across systems, workloads, storage tiers, data visibility, and durable copies. It defines five categories—single tier, internal tiering, hybrid (with freshness-by-composition and freshness-by-catchup), materializing, and shared tiering—and explains their trade-offs and example technologies.
This roundup covers Netflix’s switch to Kueue for Kubernetes-native batch compute, an engineer’s workflow for long-running coding agents, and Zalando’s in-process client load balancer handling over a million requests per second. It also explains Zepto’s dual-sequence re-ranker for real-time personalization, strategies for catching data issues early, why technically strong teams still miss business impact, and a new storage/workload architecture taxonomy—plus a Databricks metrics webinar and SQL tools.
This guide shows how to turn raw documents into semantic embeddings using a pre-trained sentence-transformers model, reduce their dimensionality with UMAP, and then apply HDBSCAN to uncover topic clusters without labels. It walks through data loading, embedding generation, dimensionality reduction, clustering, and sampling of cluster contents in Python.
A US official told AP that Anthropic’s Mythos model identified vulnerabilities in classified government systems within hours during Project Glasswing tests with intelligence agencies. The Trump administration then barred foreign access to Mythos and its limited Fable 5 model under a security directive, prompting cybersecurity experts to warn that restricting these tools could weaken US defenses.
Attackers now move at machine speed, forcing security teams to build and maintain a real-time context of their cloud, workload, and AI model environments before any alert fires. Teams must automate continuous inventory and connect signals across these layers so AI agents can investigate and respond at machine speed. This shifts SecOps from reactive investigations to proactive context-driven defense.
This article shows how to use the Claude Compliance API to feed full chat and file content into your SIEM, then write detections for AI-specific threats that live in the content. It covers prompt injections in uploaded files, jailbreaks, system-prompt leaks, data-laundering requests, sensitive disclosures, and insider data-flow risks.
This article breaks down eight core visual design principles—contrast, hierarchy, alignment, proximity, repetition, balance, white space, and unity—and shows how to apply them when using AI to build apps. It uses before-and-after examples to illustrate how guided feedback can turn generic AI outputs into polished, cohesive interfaces.
Bajaj Auto and its tech subsidiary detected a ransomware intrusion that disrupted their systems, prompting immediate containment and mitigation efforts. The company hasn’t revealed the attacker’s identity, any data theft, or a ransom demand, and there’s no link yet to a recent Tata Electronics breach.
This GitHub repo provides a coding-agent skill that runs automated security audits in six phases—recon, hunting, validation, reporting, structured output, and independent verification—to identify exploitable vulnerabilities. It uses parallel agents to generate and disprove findings, outputs structured JSON conforming to a schema, and independently verifies each claim against the source code. Each run reads prior findings to skip known issues and improve coverage.
Four high-severity flaws in the open-source Dify platform allow authenticated users to read private chats, preview documents, and leak files across tenants by abusing tracing endpoints, plugin daemon APIs, and flawed file permissions. One issue also stems from a vulnerable PDFium version (CVE-2024-5846). Dify 1.14.2 patches these bugs; operators should update immediately and apply WAF rules for CVE-2026-41948.