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The Acquisition Deal Anthropic announced Monday it has acquired Stainless, a startup founded by former Stripe engineer Alex Rattray whose software is widely used by rival AI labs, including OpenAI and Google. Stainless' Technology and Impact The New York-based startup, founded in 2022, rose to prominence in the emerging AI industry for automating the creation and maintenance of software development kits, or SDKs — the libraries developers use to interact with APIs. Rattray developed software that could take API specifications and turn them into production-ready SDKs across multiple programming languages, including Python, TypeScript, Kotlin, Go, and Java. Financial Terms and Future Plans Anthropic didn’t disclose terms of the deal. However, The Information reported last week that Anthropic was in talks to acquire Stainless, which is backed by Sequoia Capital and Andreessen Horowitz, for more than $300 million. The acquisition will take a key infrastructure supplier out of the hands of Anthropic’s competitors. The company told TechCrunch it will wind down all hosted Stainless products, including its SDK generator. Impact on the AI Industry The technology is particularly valuable to companies like Anthropic, OpenAI, Google, Replicate, Runway, and Cloudflare that are building AI agents that can connect to external software and complete tasks on behalf of users. Stainless’s SDK tools are an easy way to build and maintain those connections — but going forward, the tools will only be available to Anthropic, not its competitors. Future Outlook According to Anthropic, Stainless software has powered the generation of every official Anthropic SDK since the earliest days of its API. “I started Stainless because SDKs deserve as much care as the APIs they wrap,” Rattray said in a press release posted Monday. “Anthropic was one of the first teams to bet on this with us. We have been watching what developers have built on Claude over the last few years, which made bringing our teams together an easy decision. The team gets to keep doing the work we love, on the platform where it matters most.”

After a week‑long outage that crippled Canvas for millions of students worldwide, Instructure announced it had reached an agreement with the ransomware group ShinyHunters. While the company stopped short of confirming a payment, the deal raises fresh questions about the wisdom of paying extortionists to protect sensitive educational data. Instructure’s Agreement with ShinyHunters: What Actually Happened The attack began when the group exploited a vulnerability in Instructure’s “Free for Teacher” software, allowing them to deface login pages at institutions such as the University of Texas San Antonio. ShinyHunters threatened to leak 3.6 TB of data – student IDs, emails, names and messages from 9,000 schools and roughly 275 million students and staff – unless a ransom was paid. Instructure later said the stolen data had been “returned” and that it received “digital confirmation of data destruction” via shred logs, but it did not explicitly confirm a payment. Financial Stakes: Ransom Demands, Potential Payments, and Industry Benchmarks ShinyHunters initially demanded $10 million in ransom. Australian ransomware surveys show the average payment fell to $711,000 in 2025, down from $1.35 million the year before. According to a McGrathNicol report, 64 % of surveyed Australian firms had paid a ransom, and 81 % said they would be willing to do so. As of January 2026, 75 Australian businesses with turnovers of at least $3 million had paid ransoms, though the total amount remains undisclosed. Cyber‑security experts estimate that Instructure’s payout – if any – could be anywhere up to the $10 million demand, potentially reduced through negotiation. Policy and Business Implications: Why Paying Ransom Remains Controversial Governments in the UK, US and Australia advise against paying ransoms, arguing that non‑payment reduces the attractiveness of ransomware as a crime vector. In Australia, paying a designated attacker could breach the autonomous cyber‑sanctions law, exposing firms to prosecution on a case‑by‑case basis. Critics also note that payment does not guarantee data will not be leaked; attackers may still copy or sell the information after receiving money. Experts such as Darren Hopkins (McGrathNicol) and Luke Irwin (Aegis Cybersecurity) stress the “trust factor” – criminals must appear honest to receive payment, yet they remain untrustworthy. This paradox fuels boardroom debates about risk‑driven decision‑making versus investing in prevention and incident response capabilities. Looking Ahead: How Companies May Navigate Future Extortion Threats The Canvas case underscores the need for stronger cyber‑resilience strategies: regular vulnerability patching, robust backup architectures, and clear ransomware response playbooks. Insurers are tightening coverage terms, often requiring demonstrable mitigation measures before honoring ransom claims. Policymakers may also tighten reporting obligations and consider clearer prohibitions on ransom payments, especially for critical‑infrastructure providers like education platforms. Ultimately, firms will have to balance the immediate pressure to restore services against the long‑term cost of incentivising criminal enterprises. As ransomware groups refine their extortion tactics, the industry’s collective stance on paying – or refusing – will shape the next wave of cyber‑crime economics.

Rising Wealth Gap Among AI InsidersMenlo Ventures partner Deedy Das described San Francisco as "pretty frenetic" and highlighted the worst‑ever divide in outcomes within the AI sector. A back‑of‑the‑envelope calculation suggests a small elite is pulling ahead while most engineers confront stagnant wages and layoffs.Back‑of‑the‑Envelope Calculation Reveals 10,000 AI Insiders with $20M+ Net Worth~10,000 founders and employees at OpenAI, Anthropic, Nvidia and similar firmsEach has "retirement wealth" exceeding $20 millionAll other workers typically earn under $500 k over a lifetimeFinancial Snapshot: $20M+ Retirement Wealth vs. Sub‑$500k CareersThe calculation underscores a concentration of wealth:10,000 high‑net‑worth individualsAverage retirement portfolio > $20 millionMajority of AI talent earning $100‑$300 k annually, unlikely to reach similar wealthIndustry Ripple Effects: Layoffs, Skill Obsolescence, and Workforce MalaiseOngoing layoffs across tech firmsSoftware engineers report that their core skill set feels “no longer useful”Growing “deep malaise about work and its future” among non‑elite staffSocial media backlash, e.g., entrepreneur Deva Hazarika calling the elite “incredibly fortunate”Future Outlook: Consolidation, Talent Shifts, and Potential Policy ResponsesAnalysts anticipate several possible trajectories:Further consolidation of AI talent within a handful of high‑valued firmsIncreased migration of engineers to adjacent fields (e.g., biotech, fintech) seeking relevancePotential regulatory scrutiny on compensation disparities and workforce practicesEmergence of new venture models aimed at democratizing AI equity

An open‑source hardware gadget called the Clawdmeter now visualizes Anthropic’s Claude Code token consumption on a small desktop screen, giving AI power users a playful, at‑a‑glance view of their usage. Clawdmeter: A Pixel‑Art Dashboard for Claude Tokens The device was conceived by Reykjavik‑based developer Hermann Haraldsson, who wanted to combine his interest in embedded hardware with the rising need to monitor AI token usage. Built around a Waveshare ESP32‑S3‑Touch‑AMOLED‑2.16 display, the Clawdmeter pairs with a laptop via Bluetooth, reads the Claude Code OAuth token, and pulls usage numbers from API response headers. When powered on, a pixel‑art Clawd sprite dances on the splash screen, accelerating as token consumption rises. Users can cycle through animations, view session and weekly usage charts, and even trigger Claude shortcuts (Space for voice mode, Shift+Tab for mode toggles) directly from the device’s side buttons. GitHub Reception and Early Adoption Metrics 800+ stars on GitHub since the May 10, 2026 launch 50 forks for custom extensions Open‑source repository invites community‑added animations, screens, and features Device runs on a small lithium‑ion battery, making it portable for desk use What the Clawdmeter Signals for AI Tool Adoption The project underscores two broader trends. First, the “tokenmaxxing” mindset—where engineers track the volume of AI tokens consumed as a badge of AI integration—is gaining traction across tech firms. Second, tools like Claude are becoming accessible enough that developers can leverage them to prototype hardware projects, effectively democratizing embedded development. As Haraldsson noted, Claude’s conversational guidance helped him complete the device in just a few days, blurring the line between software and hardware creation. Future Directions for Desktop AI Dashboards Given the enthusiastic community response, several pathways are likely. Open‑source contributors may add multi‑AI support (e.g., OpenAI, Google Gemini), richer analytics (cost tracking, token efficiency), or even haptic feedback. Commercial variants could emerge, offering premium enclosures or integrated charging. Ultimately, the Clawdmeter exemplifies how niche hardware can turn abstract AI usage data into tangible, motivating feedback—potentially spawning a new class of personal AI monitoring devices.

The Controversial Bet on AI BookkeepingDespite the collapse of his previous startup, Ian Crosby is taking another shot at building a business out of automating bookkeeping. His new venture, Synthetic, aims to create a fully autonomous AI bookkeeper that can generate accrual-based financials without direct human involvement.The Vision Behind SyntheticSynthetic is designed to revolutionize bookkeeping by eliminating the need for human accountants, a stark contrast to current accounting startups like Xero. Crosby maintains an all-or-nothing approach: "We're not going to release anything that's not fully autonomous. It's that or bust."The startup is currently in the design phase, with Crosby acknowledging that his vision may not yet be technologically possible. The company plans to initially serve only AI and other software startups.The $10 Million InvestmentDespite the challenges and Crosby's troubled past with Bench Accounting, Synthetic has successfully raised $10 million in a Seed funding round led by Khosla Ventures. The round also saw participation from Basis Set Ventures and Shopify CEO Tobias Lütke.This financial backing provides Crosby with the resources to wait for foundational AI models to become more reliable for bookkeeping calculations. "I've raised years of cash, so we can just wait it out," Crosby stated.Learning from Past FailuresKhosla partner Jon Chu defended the investment by explaining his tendency to "run towards controversy a little bit." He cited Parker Conrad's journey from Zenefits to founding Rippling (now valued at $17 billion) as an example of how industry narratives can be misleading.Chu conducted thorough due diligence, speaking with several executives who worked with Crosby after his departure from Bench. According to Chu, they "had fantastic things to say about Ian." This feedback, combined with Crosby's subsequent roles at Shopify and founding of Teal (which was acquired by Mercury), convinced Khosla of his growth potential.The Bench Accounting FalloutCrosby's previous venture, Bench Accounting, famously shut down in 2024 before being "bought for scraps." Crosby maintains he wasn't directly responsible for bringing the company to insolvency, stating he was fired by Bench's board in 2021 after turning down a $250 million acquisition offer from Brex.The board reportedly disagreed with Crosby's strategic direction as the business was bleeding cash, and his executive team was frustrated with his direct leadership style. "He took a big swing, made a few mistakes. That didn't go well," Chu acknowledged about Crosby's tenure at Bench.The Path to Autonomous AI BookkeepingWhile Synthetic's prototype works for a narrow group of users, Crosby remains uncertain how it will scale for a broader customer base. He compared the current state of AI bookkeeping to "a self-driving car that can drive down one street versus the self-driving car that can drive down any street.""We haven't driven down enough streets to know if it's going to crash," Crosby explained, highlighting the technical challenges ahead. Despite these obstacles, the founder remains committed to his vision of a fully automated financial future.

Executive Summary: Google Refutes Alleged Online Safety BreachGoogle says it has not broken the UK Online Safety Act despite a £950,000 fine imposed on the forum’s US operator and evidence that the site remains reachable via search results and VPNs. The controversy centers on a nihilistic suicide forum linked to 164 UK deaths, prompting calls for tighter blocking measures.Regulatory Context and the Contested Search ListingThe UK internet regulator, Ofcom, fined the forum’s operator for allowing access to content that presents a "material risk of significant harm". Although the site claims to restrict UK users voluntarily, a Google search result still displays the forum as the second entry beneath a link to the Samaritans, enabling users to bypass the block with basic software or VPNs.Key Figures and Financial Penalties£950,000 – fine levied on the forum’s US‑based operator.164 – reported UK deaths associated with the forum.2023 – year the Online Safety Act was enacted.Implications for Online Safety Governance in the UKThe case highlights tension between search engine obligations to mitigate harmful content and the principle of information access. Advocacy groups such as the Molly Rose Foundation and Families and Survivors to Prevent Online Suicide Harms argue that Ofcom’s current enforcement is insufficient, urging court orders to compel internet service providers to block the site entirely.Future Outlook: Potential Legal and Technical MeasuresOfcom is preparing an application to seek a court order that would force ISPs to cut connections to the forum if compliance is not achieved. Google maintains it will implement any formal court orders and highlights its safety features, including a prominent help box with resources like the Samaritans. The next steps will likely involve legal rulings that define the extent of search‑engine liability under the Online Safety Act.

The LeadWirestock, a company that transitioned from stock photography to AI data provision, has secured $23 million in Series A funding to expand its multi-modal data supply business for AI labs. The company now serves six of the largest foundation model makers and has built a platform with over 700,000 artists and designers contributing creative assets.The Creative Data TransformationWirestock previously helped photographers distribute and sell their work on stock photography services like Shutterstock. In 2023, the company pivoted to becoming a data provider, supplying datasets of images, videos, design assets, and gaming and 3D content to AI labs. The platform operates similarly to freelance marketplaces like Fiverr, with artists completing tasks for data collection.Financial Growth and Market PositionThe $23 million Series A round, led by Nava Ventures with participation from SBVP (co-founded by Sheryl Sandberg), Formula VC, and I2BF Ventures, brings Wirestock's total capital raised to approximately $26 million. The company currently has an annual run-rate revenue of $40 million and has paid out $15 million to its contributors. Wirestock employs 60 people and will use the new funding to hire for research, engineering, and product roles.The Creative AI Data Market ExpansionDemand for data supply services is soaring as AI labs compete to enhance their models. Companies like Surge, Scale AI, and Mercor have built billion-dollar businesses on dataset demand, while new startups such as Micro1, Human Archive, and Human Native AI also partner with top AI model makers. Wirestock focuses specifically on providing data for creative use cases like image and video generation, with plans to expand into audio and music modalities.Future of Multi-Modal Data in AI DevelopmentLooking ahead, Wirestock is building enterprise software for AI labs to collaborate on datasets and plans to continue expanding its creative asset offerings. Freddie Martignetti, founder of Nava Ventures, emphasized the importance of multi-modal data for creating more human-like AI systems. As AI models evolve, the availability and quality of diverse training data will remain critical differentiators in the competitive AI landscape.

The Political Pokémon RevolutionThe year is 2016 and Pokémon Go has taken over the world. People are wandering for miles on end, disrupting concerts, and even slamming into poles in their attempts to capture fantastical cartoon creatures. Ten years later, a new generation are flocking to another Pokémon-inspired game. Instead of Pikachu, Charizard and Blastoise, however, players are catching and training up their local politicians in order to build their own political parties. Some MPs are even catching themselves.How Politidex Transforms Political EngagementPolitidex is a free mobile game where players can build their own rag-tag team of cabinet members and backbenchers. Starting with their local area, players travel through constituencies teeming with wild MPs and councillors, hoping to "catch 'em all" and become the dominant party of the UK. Unlike a traditional Pokémon battle, players must "debate" a wild politician to acquire them. Players can target their opponent's health bar, now an "approval rating", with an arsenal of parliamentary manoeuvres: a barrage of questions at PMQs, calling for a recount, or weakening them with an embarrassing soundbite.The Scale of Britain's Political Gaming UniverseOfficially launched on 6 May, the game currently features more than 18,000 characters, including all 650 MPs and thousands of local councillors. A week on, players have already fought more than 45,000 battles and "caught" over 17,000 politicians. Senior MPs, such as Diane Abbott, hand out damage with advanced moves such as "select committee" and "policy statement". Other politicians have moves that reference their various controversies or gaffes, including Ed Miliband's "bacon sandwich" or Angela Rayner's "second home", which after Thursday's revelation about the HMRC investigation was updated on the game to "exoneration".Changing How Citizens Relate to PoliticsThe creator of Politidex is 28-year-old game developer Fred Parry. From the start of the development process, Parry wanted to avoid a gameplay that antagonised MPs or depicted violence against politicians. "I was very wary of making sure MPs weren't scared of being in it. I wanted [battles] to be more from a political angle." Parry hopes Politidex will help to "humanise" politics, teaching people about the network of politicians in their local area and across the country."Most people are just a bit suspicious of politicians as a whole, which is really sad," he said. "Hopefully, this serves as a way of flipping the narrative. Instead of trying to defeat politicians and bring them down, you're actually catching them and training them up, which sounds fun."The Future of Political GamingThe inspiration for Politidex came about on April Fool's Day. Parry spent a month building Politidex, using AI to generate the software and game design at low costs. "I was very open and honest about using AI tools for the artwork. As a result, there's been a bit of backlash, and I do really hear them on that. But the game would've never existed without those tools, so it's a bit of a catch-22."The response from Westminster has been "really wholesome", according to Parry. "We've had MPs catching themselves, which is amazing. They've messaged in and said this is hilarious." As political polarization continues, games like Politidex may offer a novel way for citizens to engage with politics in a more accessible, less confrontational manner, potentially increasing political literacy and awareness at the local level.

The Rise of Legal Tech: Clio's $500M Milestone Clio, a Canadian law firm management software company, has reached a significant milestone: $500 million in annual recurring revenue (ARR). This achievement is a testament to the growing demand for legal tech solutions, particularly those powered by artificial intelligence (AI). AI-Driven Growth in Legal Tech Clio's growth has accelerated sharply since integrating AI into its offering in 2023. The company's ARR surpassed $200 million in mid-2024, doubled that figure by late last year, and now has reached $500 million. According to Jack Newton, co-founder and CEO of Clio, LLMs (Large Language Models) are poised to revolutionize the legal tech industry. The Potential of LLMs in Legal Tech Newton believes that LLMs can leverage the vast repository of existing legal documents, such as contracts and agreements, to automate time-consuming tasks like document review and drafting. This potential is not limited to Clio; other legal tech companies, like Harvey and Legora, are also experiencing significant revenue surges driven by AI. The Competitive Landscape: Anthropic's Move Anthropic's recent announcement of new legal-specific features for its AI model, Claude, has added a new layer of complexity to the competitive landscape. Both Harvey and Legora rely on Claude as a core model, making the dynamic an uncomfortable one: a key supplier is now also a competitor. The Future Outlook Despite these challenges, Newton remains optimistic about the vast potential of the legal AI market. Clio's valuation of $5 billion and its recent $1 billion acquisition of data intelligence platform vLex have positioned the company for continued growth and innovation in the legal tech sector.