The Builders Stage brings practical strategies for scaling startups to TechCrunch Disrupt 2026
The Builders Stage is returning to TechCrunch Disrupt, bringing together founders, startup operators, and investors for practical conversations on what it takes to build and scale.
“Exit the Cave”: reconnecting with the real world
“Exit the Cave” is an essay about the tension between living inside digital systems and staying connected to the real world. It uses a personal reflection to question how much attention, judgment, and experience we delegate to platforms and devices. Rather than a technology news item, it is a cultural analysis of technology’s human impact: what digital convenience gives us and what we may lose when we stop looking beyond it.
How sources behind AI recommendations are manufactured
An independent analysis of 380 software categories examines how AI-integrated search systems build recommendations. It sent 760 queries—one per category to Perplexity/sonar and one to Perplexity/sonar-pro through OpenRouter—and collected 7,534 citations. 59.8% of cited domains were outside the 100,000 most visited sites, while 23.4% did not appear in Tranco’s top million. The central finding is not that a few famous sites control answers: the ten most-cited sources represented only 17.3% of citations. The striking pattern lies at the periphery, where 751 of 2,055 cited domains were unranked and had more recent Wayback captures. Some appeared designed to be consumed by retrieval systems, with automated pages and descriptions explicitly oriented toward model grounding. The report identifies three apparently related domains that published 215,128 automated “best software” pages, and highlights guideflow.com, whose blog was cited 194 times across 96 categories despite not being a directory or operating in those markets. The authors compare sitemaps, templates, DNS, registration dates, and archived pages, while noting that shared infrastructure is circumstantial evidence, not proof of common ownership. The broader lesson is that AI answers can rely on recent, high-volume content designed for machines without making its authority obvious. The study measured only Perplexity—Google was excluded—so its findings should not automatically be generalized to every search engine or model.
Meta Unveils Muse Spark 1.3: New Open-Source Language Model
Meta has announced the release of Muse Spark 1.3, a new iteration of its open-source language model designed for advanced natural language generation and understanding tasks. This version introduces significant improvements in computational efficiency and output quality, positioning itself as a competitive alternative in the accessible language model ecosystem. Muse Spark 1.3 stands out for its ability to process extended contexts and generate coherent responses in multiple languages, including enhanced support for low-resource languages. The model's architecture has been optimized to reduce carbon footprint during training and inference, aligning with Meta's AI sustainability commitments. The model is available under an open-source license that permits commercial use and modification, fostering community innovation. Researchers and developers can access the model weights and detailed documentation through Meta AI's official repository, driving the development of custom applications and academic research.
FCC plans robocall scorecard to grade phone companies on spam call blocking
The Federal Communications Commission today said it will create a robocall mitigation scorecard to rate phone companies on how effectively they block illegal spam calls. The scorecards could include call-blocking statistics along with data on customer complaints and enforcement actions. The FCC said scorecards could grade providers on a number scale, with letter grades, or by classifying providers as low risk, medium risk, or high risk. "The Scorecard will empower consumers and encourage provide
I rented a car, and within hours, my driver's license was for sale
Not long ago, I rented an SUV from a well-known car rental company. Within hours of an employee scanning my driver's license, a high-resolution scan of my ID was available for sale on the dark web. An exposé published Tuesday by KrebsOnSecurity reports that my license was one of more than 153 million that were available through Nexus, the name of the new ID theft service. Like other driver's licenses available there—including some belonging to journalist Brian Krebs, his mother, an FBI assistant
Spending Deal Pauses Political Control of Grants Until December
The House passed a stopgap funding bill that keeps the government running through early December and includes a provision blocking political control over grant awards. President Trump is expected to sign the measure to avert a shutdown just before the midterm elections. Such short-term deals have become routine, reflecting the difficulty of passing a full-year budget.
TechCrunch Disrupt 2026’s new Real World AI Stage features Nvidia, robots, and extinct animals
On our new Real World AI stage, we’ll be focusing on the intersection between the digital and physical, and all the ways we’ll continue to see a blending of the two.
Palo Alto Networks Buys Thrive‑Backed Console for $500M
Palo Alto Networks acquired Console, an AI IT service automation startup backed by Thrive Capital, for $500 million. The deal positions Palo Alto in the growing AI‑driven IT automation market, while leaving Sequoia‑backed Serval as the de‑facto startup leader in the space. The move signals strong investor confidence and could spur further consolidation in the sector.
Sequoia-X: quantitative stock selection for China
Sequoia-X V2 is a quantitative stock-selection system for China’s A-share market. It is rebuilt in Python with object-oriented architecture, vectorized calculations, and incremental data updates; it uses baostock for historical and daily data and SQLite for local storage. After market close it can run the selection process and send results to a Feishu group. The project provides two operating modes: a daily mode that updates data and runs strategies with parallel processing, and a backfill mode for the initial historical load. The README documents strategies including TurtleTrade, moving-average and volume breakouts, High Tight Flag, post-limit confirmation, and RPS Breakout, making it an extensible base for experimenting with selection rules. Its main strength is bringing data acquisition, persistence, strategies, and notifications into a reproducible local workflow. The README also spells out requirements—Python 3.10 or newer, environment-based configuration, and an initial historical backfill—which helps users study or modify the system. It is not a profitability guarantee or a system that should be used without validation: strategies depend on data quality, assumptions, and the Chinese market. Before making financial decisions, users should review the code, test out of sample, account for costs and biases, and evaluate the maintenance of baostock. Verdict: a useful educational quantitative starting point, with real risk if treated as advice.
VoiceStudio: Local Voice Cloning, Dubbing, and TTS Suite
VoiceStudio is an open-source application (AGPL-3.0 license) that enables voice cloning, video dubbing, dictation, and long-form audio generation entirely offline, without requiring an account, API key, or subscription. It integrates 16 text-to-speech (TTS) engines, 11 automatic speech recognition (ASR) engines, and supports 646 languages, all runnable on macOS, Windows, Linux, and via Docker containers. Designed for users who prioritize privacy and full control over their data, it serves as a local alternative to cloud-based voice services. The suite is suitable for content creators, developers, and professionals needing to generate audio or dub videos without relying on external services. It operates on local hardware, including NVIDIA GPUs (CUDA), Apple Silicon (MPS/MLX), and AMD (ROCm on Linux), with CPU-only support as well. Minimum requirements include 8 GB of RAM and 10 GB of disk space, though 16 GB and 20 GB are recommended for optimal performance. Notable features include zero-shot voice cloning, integration with models like CosyVoice 3, GPT-SoVITS, and OmniVoice, and a user-friendly interface for switching between engines. Additional tools include vocal isolation, speaker diarization, and an MCP server for custom integrations. While currently in active beta, the latest stable release is recommended for production use.