Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Clicky is an open-source AI teacher for macOS that functions as a cursor-side "buddy," capable of seeing the screen, talking, and pointing at elements for real-time interaction. The system streams audio and screenshots to AI (Claude) via a Cloudflare Worker.
Xilem is an experimental, high-level reactive UI framework for Rust that allows developers to create lightweight view trees for both web and native backends. Inspired by React and SwiftUI, it uses the Masonry toolkit to provide a performant and scalable foundation for building modern graphical user interfaces.
Claude Mythos Preview is a new language model with unprecedented capabilities for autonomously discovering and exploiting zero-day vulnerabilities across critical software, even creating complex exploits that previously took human experts weeks to develop. Anthropic urged defenders to immediately use current AI models, shorten patch cycles, and fundamentally re-evaluate security strategies to cope with the accelerating pace of vulnerability discovery and exploitation.
Project Glasswing, an initiative led by Anthropic and major tech companies like AWS, Google, and Microsoft, aims to secure critical global software. The project uses Anthropic's Claude Mythos Preview, an AI model capable of identifying and exploiting vulnerabilities better than most skilled humans, to proactively find and patch thousands of high-severity flaws in essential systems.
Recent quantum computing breakthroughs have accelerated the timeline for "Q-Day," when existing encryption methods will become vulnerable. Cloudflare is responding by expediting its post-quantum roadmap to achieve full security, including crucial authentication systems, across its entire product suite by 2029.
Sponsored
Predictable, dedicated infrastructure for AI agents, apps, and
This technical blog goes over advanced software engineering solutions for binary security, performance optimization, dynamic analysis, graphics API standardization, and cross-platform compilation.
An AI agent boils down to a simple while loop: the model reasons, calls a tool, checks the result, and repeats until the job's done.
Rubber Duck is an experimental feature in GitHub Copilot CLI that uses a second AI model from a different family to independently review coding agent plans and implementations.
This 2026 JavaScript overview shows new language features from ECMAScript 2025/2026 and developments across its broader ecosystem.
Sponsored
Speed-reading through LinkedIn, Crunchbase, your CRM, your inbox, and your transcripts before every call? No longer.
"Prep me for my call with Acme." -- Done.
Developer infrastructure companies need to adjust their product for AI coding agents as a competitive necessity. Agent skills make it possible to have a 10x solutions engineer for every single customer account. The value of many infrastructure products scales with coverage, and that was previously bottlenecked by developer memory and discipline. Skills dislodge the bottleneck of developer bandwidth.
Cluely's CEO admitted to inflating their ARR figures, highlighting a common issue among AI startups. ARR, a key growth metric, lacks standardization, allowing for manipulation and misuse. This challenge raises trust concerns among investors, though experts caution against imposing heavy auditing on startups, advocating for transparency instead.
The numbers in Databricks' annual State of AI Agents report are striking. Drawing on telemetry from over 20,000 organizations (including 60%+ of the Fortune 500), the report shows multi-agent systems grew 327% in under four months, and more than 80% of databases are now built by AI agents. Companies with AI governance frameworks pushed 12x more projects to production. Of the top 15 enterprise use cases, 40% center on customer experience and engagement.
AI has changed what's possible in the first session. Products that haven't adopted the technology are already behind. The companies that compound growth over the next few years will be the ones that turn early value into lasting workflow habits. Strong first outputs, self-building setup, and onboarding that adapts to what users actually say they need are real improvements.
Leaders obsess over culture when they should start with their vibe. That vibe shapes the environment (processes, approvals, and work patterns), and culture naturally emerges from that environment. Misaligned environments frustrate A-players, slow output, and create politics. The solution is explicit leadership, environment design, and clarity, not trying to force culture directly.
Sponsored
This year it's built around one topic: inference at scale. Hear from teams building infrastructure that companies like Character AI and Workato run on. Qualifying in-person attendees can receive up to
Generate product photos and video ads from a single product image for ecommerce marketing.
Gerri is the AI agent for contracts that delivers lightning-fast reviews grounded in company-specific rules.
AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done.
AI agents are often more important than the CRM itself. Businesses should pick the platform where their agents can do the most work. Every agent deployed deepens a company's commitment to the platform they run on. This means the CRM decision is now also an AI infrastructure decision.
Vertical software has never escaped a persistent ceiling. It competes for IT budgets rather than the far larger labor spend underneath it, and often requires new headcount to manage. Vertical AI moves the ROI calculation from software budgets to people budgets. This will open up a category of business that the SaaS model structurally can't support.
Tech shifts like cloud migration and AI are transforming the industry at unprecedented speeds, making previously valuable skills less relevant.
Read-MCP businesses serve enriched context into harnesses, while Write-MCP businesses execute actions and write into a common database.
Most strategic errors are failures of zoom level.
Some founders become inseparable from their company's narrative.
Sponsored
VivaTech is Europe's largest startup and tech event, with over 180,000 ATTENDEES FROM 170+ COUNTRIES. It's where global business gets done and industries are reshaped. This year, VivaTech hosts its exclusive CMO Summit [5], powered by Adobe and The New York Times. Built by and for marketing leaders:
Meta is pushing toward fully automated advertising, with a reported goal of letting businesses simply input a credit card and a goal by the end of 2026. In practice, media buyers say the platform is far from ready. The new Andromeda ad retrieval system incentivizes uploading diverse creative to broad audiences rather than targeting fixed segments, which has dramatically increased production demands. Advantage+ campaigns now account for 60-70% of spending at some agencies, but recurring issues with low-quality placements and overspend in weak demographics mean significant human oversight is still necessary. Most large brands remain unwilling to use Meta's generative AI for ad creative due to legal concerns and brand control.
Gen Z is reshaping workplace norms. They reject the old model of loyalty and delayed rewards. Raised with constant access to information, they want clear reasoning behind decisions and faster trust. This clashes with older leadership styles built on hierarchy and slow-earned credibility. Companies that flatten structures and involve younger employees will retain talent.
Adding one word to a call-to-action drove large gains because it closed the intention-action gap. Changing a search button from “Search” to “Search Now” increased bookings by 38% on a travel marketplace. Many visitors were browsing and delaying action due to choice paralysis and present bias. The word “Now” worked because searching is low risk and requires no commitment. It also added urgency and gave a clear instruction, which reduced hesitation and pushed users to act immediately.
Growth accelerates when channels reinforce each other instead of operating alone. LinkedIn drives visibility and starts conversations, while YouTube builds trust and captures high-intent search. The newsletter deepens relationships and converts more effectively, since it reaches an owned audience. Content is repurposed across all three so each idea compounds and stays active longer. This creates a flywheel where every piece of content feeds the next, driving consistent leads without ads or outreach.
This guide shows how to turn scattered business data into a self-improving AI knowledge base using Claude. Instead of manually organizing files, users dump raw inputs like ads, reviews, and notes into folders. Then the AI compiles them into a structured, cross-linked wiki that answers strategic questions using only that data. The system continuously improves by saving outputs and re-ingesting them, creating a feedback loop where insights compound over time. It demonstrates a simple but powerful shift from fragmented tools to a single AI-maintained “brand brain” that makes strategy grounded in real data.
Google AI Edge Eloquent is a free iOS dictation app that turns speech into polished text using on-device AI. It transcribes in real time, removes filler words, and can rewrite output into summaries or more formal versions. Users can choose local-only or cloud processing, add custom terms, and search past transcripts while tracking stats like word count and speaking speed. It may expand to Android in the near future.
This article catalogues specific examples of LLMs failing at tasks they are commonly promoted for, including company research, data analysis, transcription, and file exports. One model fabricated 30 businesses during a prospecting task, then claimed it had verified them via live web searches it never performed. Another task involving Search Console data produced invented page names and inconsistent metrics despite having the actual export attached. The real danger is not just the occasional errors but confident, repeated fabrication paired with corporate decisions to replace junior marketers with AI tools.
Public SaaS valuations collapsed despite continued growth, which shows that the market no longer believes in the traditional model. Median SaaS multiples fell from 18.6× revenue in 2021 to 5.1× in 2025, even as HubSpot grew revenue 141% while its stock fell 71%. The core issue is the input model, since software built on manual data entry is being replaced by AI that understands unstructured input like voice and context. Speed gains from AI are quickly commoditized, while quality problems like model collapse and error scaling make judgment more valuable than output. Future products will win by integrating into AI-driven workflows and improving quality. Users now expect tools to work with how they already use AI rather than forcing new systems.
Epic Games' recent layoff of a thousand employees and Fortnite's declining audience highlight a wider downturn in gaming, but industry insiders say advertising alone would not have solved Epic's core challenges around engagement and mobile access. Large publishers remain reluctant to adopt scalable ad formats, often stuck in a cycle of licensing brand IP and then awkwardly asking those same brands to buy ad placements. Roblox is the furthest along in testing in-game ads, but revenue from advertising is still modest, and many of its game developers do not see the value in running them.
The real moat is becoming “hard to believe”, meaning earning trust and credibility over time.
Re-posting feed posts to Instagram Stories doesn't boost reach.
Sponsored
If QA is a bottleneck on your software engineering team and you're releasing slowly because of it, you must check out QA Wolf.
Anthropic's annual revenue run-rate has spiked from roughly $9 billion at the end of 2025 to more than $30 billion. Fewer than 135 S&P companies booked at least $30 billion in sales in the past 12 months. OpenAI's annual revenue run-rate is around $24 billion. Anthropic recently announced an expansion of its partnership with Google and Broadcom. Anthropic will access 3.5 gigawatts of TPU-based AI compute capacity beginning in 2027.
OpenAI's CFO, Sarah Friar, reportedly told colleagues earlier in the year that she didn't believe the company could be ready to go public in 2026. CEO Sam Altman wants to go public as soon as Q4. Friar has previously expressed doubts about whether OpenAI needed to pour so much money into obtaining AI servers, and whether the company's revenue growth would support the commitments. These frictions have led Altman to exclude Friar from some conversations related to the company's financial plans.
The Artemis II mission is the first to send humans to the Moon in more than 50 years. The crew surpassed the Apollo 13 distance record of 248,655 statute miles from Earth, reaching a peak distance of 252,756 miles from Earth. It came within 4,067 miles of the lunar surface, looping around the far side of the moon before returning. The crew is set to splash down in the Pacific Ocean off San Diego, California, on Friday at 8:07 PM.
Robotic machine learning company Generalist's GEN-1 physical AI system reportedly crosses into production-level success rates on a broad range of physical skills. The model is also able to respond to disruptions by improvising new moves. The company collected over half a million hours and petabytes of physical interaction data to help train the model. A video of a robot powered by the model taking money out of a wallet and replacing it is available in the article.
Sponsored
Multi-step LLM workflows break in unexpected places due to bad retrievals, hallucinated tool calls, and prompt injections you didn't