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Limited‑Time Ticket SavingsStarting today and ending at 11:59 p.m. PT on Friday, April 10, the event offers a discount of up to $500 per ticket. Assuming a standard ticket price of roughly $1,500, the discount represents a 33% price reduction, a significant incentive for early registration.Event OverviewDate: October 13–15, 2026Location: Moscone West, San FranciscoExpected Attendance: 10,000 founders, investors, and operatorsStartups Exhibiting: 300+Key Competition: Startup Battlefield 200 with a $100,000 equity‑free prizeKey HighlightsThree days of roundtables, Q&A sessions, and fireside chatsSide events hosted by official Disrupt partners to extend networking beyond the main agendaOpportunity for emerging companies to win a substantial cash prize that can fund product development without equity dilutionFeatured Speakers & ParticipantsPast line‑ups have included industry leaders such as Matt Mullenweg (WordPress co‑founder), Vinod Khosla (venture capital legend), and co‑founders Phoebe Gates and Sophia Kianni of Phia, alongside executives from Google Cloud, Netflix and Waymo.How to RegisterVisit the official event site to lock in the discount before the deadline. The limited‑time offer ensures that early registrants secure the maximum savings, while ticket prices will rise as the conference approaches.

Allbirds, the sustainable trainer brand from San Francisco, has been sold to American Exchange Group for $39m (£29.6m). The brand was once valued at over $4bn but struggled to maintain demand for its wool-based footwear.The company's value tumbled by more than 99% since its listing on the US stock market in 2021. Allbirds had enjoyed rapid success in its early years, selling over 1m pairs of its original merino wool trainers in the first two years after its launch in 2016.Celebrities such as Leonardo DiCaprio, Oprah Winfrey, Gwyneth Paltrow, and Barack Obama were early adopters of the brand. However, the company's success was short-lived, and it eventually slipped into losses as competition intensified from eco-focused rivals.Neil Saunders, managing director of GlobalData, described Allbirds' downfall as going from 'a high flyer to a dead parrot.' The company's co-founder, Tim Brown, and engineer Joey Zwillinger had launched Allbirds amid growing interest in sustainable fashion.The takeover follows a sharp fall in sales in the third quarter of 2025, with a 23% decline to $33m and a $20.3m loss. Allbirds had been steadily closing stores since 2023 and announced the closure of all but two of its remaining 20 US stores.Joe Vernachio, CEO of Allbirds, stated that the next chapter for the brand will 'build on the foundational work already completed and set up the brand to thrive in the years ahead.'

OverviewSalesforce introduced an AI‑heavy makeover for Slack at a San Francisco event on 2026-03-31. The update adds 30 new features that expand the functionality of the platform’s AI agent, Slackbot, positioning Slack as a broader business‑process tool rather than just a messaging app.Key AI FeaturesReusable AI‑skills: Users can define custom tasks that Slackbot can execute across multiple contexts, reducing manual effort. Example: a “create a budget” skill pulls data from channels and connected apps, then auto‑schedules a planning meeting.MCP (Model Context Protocol) client: Slackbot now connects to external services, notably Agentforce—Salesforce’s AI agent platform launched in 2024—to route work and query enterprise agents without human intervention.Meeting transcription & summarization: Slackbot can generate real‑time transcripts and concise action‑item summaries, helping participants catch up if they miss parts of a discussion.Desktop‑activity monitoring: The bot can analyze a user’s deals, conversations, calendar, and habits to suggest follow‑ups or draft communications, with privacy controls managed by the user.Strategic ImpactThe enhancements aim to embed AI into daily workflows, making Slack an indispensable hub for enterprise tasks. By turning Slackbot into a multi‑modal assistant, Salesforce seeks to increase user stickiness and drive higher subscription value.Financial ImplicationsCEO Marc Benioff highlighted that the five‑year period since acquiring Slack has delivered “two and a half times revenue growth.” In concrete terms, a 2.5× increase means revenue is now 150% higher than the pre‑acquisition baseline (e.g., if Slack generated $1 B annually at acquisition, it now contributes roughly $2.5 B). Benioff also noted that about 1 million businesses are currently running on Slack, underscoring the platform’s scale and the revenue upside from deeper AI integration.

The Denver Summit made history on Saturday by drawing a crowd of 63,004 fans to their match against the Washington Spirit at Mile High Stadium, shattering the previous National Women's Soccer League (NWSL) attendance record of 40,091.The previous record was set last season at Oracle Park, home of the San Francisco Giants, during a match between Bay FC and the Spirit. This significant milestone highlights the growing popularity of women's soccer, with fans like Karmryn Eversole expressing their enthusiasm: 'This is a big deal, and it’s very important… We want more women’s sports, and we’re here supporting it.'The Denver Summit, established as the 16th NWSL franchise in January 2025 for a reported expansion fee of $110m, played their first home game in Colorado after starting the season with three away matches, going 1-1-1. The match against the Spirit ended in a scoreless draw.Fan Nicole DeLue emphasized the significance of having a professional women's soccer team in Denver: 'If you look at the amount of Denver women’s players that have gone to the World Cup, made the national team… So to finally have a home base here is just incredible.'The Summit will play future home games at Dick's Sporting Goods Park and later move to a temporary stadium while awaiting the completion of a new women's soccer stadium in downtown Denver, expected to be finished by the 2028 season.

Anthropic, a leading artificial intelligence company, is set to face off against the US Pentagon in a San Francisco court over a ban that prevents the military from using its Claude AI model. The company refused to remove safety guardrails that prevent its AI from being used for fully autonomous weapons and mass domestic surveillance.The legal showdown began on Tuesday, with US District Judge Rita Lin presiding over the hearing. Anthropic argues that the Pentagon's move is an unprecedented and unlawful designation that violates freedom of speech protections and due process rights.The Pentagon-led ban was enacted after Anthropic refused to strip safety guardrails from its AI model. The company's designation as a national security supply chain risk prohibits anyone within the Defense Department or its contractors from using the technology.Legal experts believe that Anthropic is likely to prevail, pointing to a February 27 post on X in which Defense Secretary Pete Hegseth said he is directing the DoD to designate Anthropic a Supply-Chain Risk to National Security. The post also said that contractors, suppliers, or partners for the United States military are prohibited from commercial activity with Anthropic.The White House has pushed back on Anthropic's claims that government action violated free speech protections under the First Amendment of the US Constitution, saying the dispute stems from contract negotiations and national security concerns rather than retaliation.Democratic Senator Elizabeth Warren of Massachusetts has penned a letter to Hegseth voicing her concerns, saying she is particularly concerned that the DoD is trying to strong-arm American companies into providing the Department with the tools to spy on American citizens and deploy fully autonomous weapons without adequate safeguards.

The Arm AGI CPU: A New Era of In-House SiliconFor the first time in its 35-year history, Arm Holdings is stepping out from behind the licensing model to manufacture its own silicon. The company revealed the Arm AGI CPU at an event in San Francisco, a production-ready processor designed specifically for AI inference in data centers. Unlike its traditional business model of licensing designs to giants like Nvidia and Apple, Arm has developed this chip using its own Arm Neoverse family of CPU IP cores.This strategic pivot is backed by a robust ecosystem of launch partners, including Meta, which is the chip's first customer. Other key partners include OpenAI, Cerebras, and Cloudflare. The chip is already ready for order, signaling that Arm is moving aggressively to capture value in the booming AI infrastructure market.The Critical Role of CPUs in AI InfrastructureWhile GPUs have dominated headlines for training large language models, Arm is highlighting the often-overlooked importance of the central processing unit (CPU) in modern AI racks. Arm argues that the CPU is the pacing element of modern infrastructure, responsible for managing thousands of distributed tasks, including memory allocation, storage scheduling, and data movement across systems.Infrastructure Management: CPUs ensure that distributed AI systems operate efficiently at scale.Market Constraints: The demand for high-performance computing is exacerbating global supply chain issues, with Intel and AMD recently informing Chinese customers of extended wait times due to CPU shortages.Cost Implications: These supply constraints are contributing to rising prices for computer hardware.Breaking the Licensing Model: A Strategic Bet on CompetitionThe release of the Arm AGI CPU represents a historic deviation from the company's founding principles. For decades, Arm has operated as a pure-play design licensor, allowing partners to manufacture chips based on its architecture. However, the company is now poised to compete directly with many of its biggest customers.Majority-owned by the Japanese conglomerate SoftBank Group, Arm's move suggests a desire to capture more of the value chain. By building its own silicon, Arm can offer a more integrated solution for AI workloads, potentially undercutting or complementing the offerings of its licensees. This shift challenges the traditional semiconductor ecosystem and sets a precedent for other IP licensor to consider building their own hardware.The Future of Chip Architecture in the AI RaceArm's entry into manufacturing signals a new phase in the AI chip wars. As the industry moves toward specialized silicon for inference, the line between design houses and manufacturers is blurring. We can expect to see more IP licensor developing their own chips to ensure they have control over the performance and efficiency of the hardware powering the next generation of AI models.

The trial in San Francisco centers on a class-action lawsuit filed against Elon Musk, who is accused of engaging in a pattern of deceptive behavior that misled investors as he attempted to back out of his $44bn deal to buy Twitter, now known as X, in 2022.Musk's claims about the number of bots on Twitter were a key part of his argument for backing out of the deal. He testified that Twitter had a much higher number of fake and spam accounts than the 5 percent it disclosed in regulatory filings, claiming it was actually around 20 percent. However, Twitter's former CFO Ned Segal disputed this claim, saying the number was closer to 1 percent.The trial has significant implications for Musk, whose fortune is now estimated at $839bn. If the court rules in favor of the shareholders, Musk could be liable for damages. The case highlights the challenges of navigating complex financial deals and the importance of transparency in corporate transactions.Closing arguments are set to begin on Tuesday, with the jury instructed to consider the evidence presented during the trial. The case has been closely watched by investors and observers, who are eager to see how the court will rule on the matter.

Researchers at Cortical Labs in Melbourne have created a 'biological computer' using living human tissue, which can play the 1993 shooter game Doom. The team used 10ml of blood from CEO Hon Weng Chong to harvest 100 white blood cells, which were then reprogrammed into induced pluripotent stem cells (iPSCs). These cells were used to create a dish of 200,000 neurons that can interface with a computer system.The brain cells were taught to play Doom by encoding game state information, passing it through a neural network, and converting it into signals the neurons can understand. The neurons then fire an output, which the system decodes and converts back into actions in the game. This process is similar to how humans operate, with information going into the retina, being converted into electrical signals, processed in the brain, and resulting in an output.While the achievement has sparked concerns about sentience and consciousness, Chong believes the brain cells are not conscious, stating, 'At first it didn’t know how to move, aim or shoot. Then it would shoot two enemies and stop. So it’s definitely learning.' The next step could be integrating this technology with Neuralink, a brain-machine interface developed by Elon Musk.The application of biological computing lies not in gaming, but in medicine, such as disease modeling for conditions like epilepsy. This technology could allow for personalized drug testing and tailored treatments. Meanwhile, Eon Systems in San Francisco has created a virtual insect brain that can behave like a real fly, challenging the assumption that intelligence must be acquired.Biological systems like these could eventually power robots, drones, and other machines that need to navigate complex environments. As Chong notes, 'Abstract reasoning, mathematics and language are relatively recent in evolutionary terms... but motor control and probabilistic decision-making are things we’ve inherited through millions of years of evolution.' While we're far from uploading human consciousness into the internet, this technology marks a significant step in the development of biological computing.