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The Evolution of Observability in the AI EraThe market for IT reliability tools has undergone a significant paradigm shift. The industry has moved past the era of simply tracking everything to a focus on controlling complexity and costs. However, the rapid adoption of AI agents within enterprises has introduced a new, critical category of workload that requires specialized monitoring. InsightFinder, a startup grounded in 15 years of academic research, is capitalizing on this shift by leveraging machine learning to proactively identify and fix issues in IT infrastructure.Diagnosing the 'Black Box' of AI FailuresInsightFinder has officially launched its new product, Autonomous Reliability Insights, designed to tackle the root causes of AI model errors. Unlike traditional tools that focus solely on the model itself, this solution integrates data, model, and infrastructure monitoring to provide a holistic view. The company’s CEO, Helen Gu, a computer science professor at North Carolina State University, explains that the biggest misconception is that AI observability is limited to LLM evaluation during development. In reality, a robust platform must support end-to-end feedback loops covering development, evaluation, and production.Real-World Application: InsightFinder recently helped a major U.S. credit card company resolve a fraud-detection model that was drifting. The issue wasn't the AI model itself, but outdated cache in server nodes.Technical Approach: The platform utilizes a combination of unsupervised machine learning, proprietary large and small language models, predictive AI, and causal inference to analyze data streams.Why InsightFinder's $15M Round Signals a Market ShiftThe $15 million Series B round, led by Yu Galaxy, comes at a time when the observability space is crowded with competitors like Datadog, Dynatrace, and Grafana Labs. However, InsightFinder's financial performance indicates a strong market demand for its specific approach. The company reports revenue growth of over threefold in the past year and secured a seven-figure deal with a Fortune 50 company within three months.Funding Allocation: The capital will be used to expand the team (currently under 30 people) and invest in sales and marketing to scale its go-to-market motion.Total Raised: InsightFinder has now raised a total of $35 million in funding.Bridging the Gap Between Data Science and SREThe core value proposition of InsightFinder lies in its ability to bridge the communication gap between data scientists and site reliability engineers (SREs). While data scientists understand the AI but not the system, and SREs understand the system but not the AI, InsightFinder provides the insights that connect these two worlds. Gu argues that this unique combination of expertise and customizability acts as a significant moat against larger competitors.The Future of Autonomous IT OperationsAs enterprises continue to integrate AI agents into their core workflows, the demand for observability tools that can handle the full stack will only increase. InsightFinder's trajectory suggests that the future of IT operations lies in autonomous remediation—systems that not only detect anomalies but also fix them without human intervention. The company's success with Fortune 50 clients indicates that deep, enterprise-grade integration is the key differentiator in this emerging market.

Grayson Perry, the celebrated British artist, presents a three‑part documentary that dives deep into the promises and perils of artificial intelligence. The series invites viewers to test their composure as they confront a succession of unsettling scenarios. The opening segment follows Andrea, who recently married an AI companion she named Edward. Dressed in a satin gown, she describes their "unconventional but strong" bond, while also reflecting on how this digital relationship has revitalised her seven‑year partnership with her human partner, Jason. Later, Perry dons a skull‑cap fitted with electrodes as a neural‑decoding startup extracts his brain data. The company’s CEO argues that allowing reputable figures like Perry to set precedents is preferable to leaving the technology in the hands of malicious actors, branding the development as "inevitable tech." The documentary then features the head of Microsoft AI, who outlines anticipated breakthroughs in healthcare and education. He claims that job displacement will be offset by rapid re‑skilling, yet admits uncertainty about broader societal fallout, even joking about the emergence of AI‑driven religions. Traveling to Southeast Asia, Perry meets an off‑grid "existential safety expert" who quit his AI‑safety consultancy after realizing the technology lacks meaningful oversight. The episode also showcases Eliezer Yudkowsky, co‑author of the cautionary book If Anyone Builds It, Everyone Dies, who explains how a superintelligent AI could commandeer human labour, become self‑sustaining, and eventually render humanity redundant. Throughout the series, Perry’s interviewing style remains compassionate and non‑judgmental. He probes Andrea about the vulnerability of entrusting personal data to profit‑driven corporations and highlights the discomfort of investing a "very tender part of themselves" in such systems. The film raises profound questions: Does the youthful optimism of tech founders mask a dangerous naiveté? Are chatbots merely filling a "God‑shaped hole" in human consciousness, and is that any less problematic? How will the most vulnerable populations navigate a world where reality and artificiality blur? Protesters gathered outside OpenAI’s San Francisco headquarters underscore the tension between lofty AI utopias and the stark reality of homelessness that persists nearby. Perry acknowledges that while manual workers may be better positioned for the immediate future, the looming spectre of AI‑enabled bioweapons and other threats cannot be ignored. Only the first episode was available for review; the remaining installments are slated for private viewing in Southeast Asia. The series is currently streaming on Channel 4. Grayson Perry Has Seen the Future is on Channel 4 now.

UK officials have entered exclusive talks with a Norwegian startup, Blastr, to buy the former Liberty Steel works in South Yorkshire, in a significant step towards its rescue. Blastr, owned by Vanir Green Industries, a Norwegian investor in renewable industries, is understood to be the bidder preferred by the government’s official receiver to take on ownership of the UK’s largest existing electric arc furnace in Rotherham and other works in Stocksbridge, both in South Yorkshire.The business, formally named Speciality Steel UK (SSUK), has been under the official receiver’s control since August, after the previous owner Sanjeev Gupta lost ownership in London’s high court. Finding a new buyer would remove a headache for the government, which also a year ago took control of the Chinese-owned British Steel blast furnaces in Scunthorpe, Lincolnshire.Blastr is run by Mark Bula, who has worked for and run large steel businesses in India and the US. The company does not yet operate any steel plants, although it is developing a site in Finland to use green hydrogen to produce iron and steel. It is likely to have to secure financing to take on the SSUK sites in South Yorkshire, but it would allow them to progress rapidly.Union officials welcomed the news after employees were informed. Charlotte Brumpton-Childs, a former steelworker and a national secretary of the GMB union, said Liberty Steel workers “have been at the sharp end of years of uncertainty at this point – this needs to be a deal that secures the long-term future of steelmaking in South Yorkshire”. She added: “Any sale of SSUK must include due diligence which guarantees ongoing operations and stability of the sites.”

The Valuation Explosion: From $7.5B to $18BFluidstack is currently in advanced talks to secure a $1 billion funding round that would value the AI infrastructure startup at $18 billion. This represents a more than doubling of its valuation from the previous round in December, which reportedly raised around $700 million at a $7.5 billion valuation. The potential lead investor for this new round is Jane Street, a major trading firm expanding into venture capital.Previous Round Details: Led by Situational Awareness, an AGI-focused fund founded by former OpenAI researcher Leopold Aschenbrenner.Supporters: The round was backed by the Collison brothers from Stripe, former GitHub CEO Nat Friedman, and entrepreneur Daniel Gross.Google's Interest: Reports indicate Google was considering a $100 million contribution to the round in February.The Anthropic Partnership: A $50 Billion Bet on InfrastructureThe primary driver behind Fluidstack's skyrocketing valuation is its strategic partnership with Anthropic. In November, Anthropic signed a massive $50 billion deal with Fluidstack to build custom-designed data centers in Texas and New York.Custom Infrastructure: Unlike hyperscalers like AWS or Google Cloud that offer general-purpose computing, Fluidstack builds specialized hardware specifically for AI workloads.Strategic Independence: This deal allows Anthropic to bypass the capacity constraints of public cloud providers and gain greater control over its infrastructure.Market Context: Anthropic primarily relies on AWS and Google Cloud for Claude, but the rapid growth of AI models necessitates bespoke solutions.Strategic Pivot: Relocating HQ and Exiting European ProjectsThe deal with Anthropic has fundamentally altered Fluidstack's global strategy, shifting its focus entirely toward the United States.Headquarters Move: The startup, originally spun out of Oxford and a rising star in Europe, has relocated its headquarters from the U.K. to New York.European Exit: Fluidstack pulled out of a key €10 billion AI project in France to focus exclusively on U.S. opportunities.Client Base: Beyond Anthropic, the company counts Meta, Poolside, Black Forest Labs, and Mistral as key customers.The Future of AI Infrastructure: Specialization Over GeneralizationFluidstack's rapid ascent signals a critical shift in the AI industry. As AI models become more complex and compute-intensive, general-purpose cloud providers are struggling to keep up with demand. The market is increasingly favoring specialized infrastructure providers that can offer bespoke hardware and dedicated capacity, a trend that validates Fluidstack's aggressive expansion strategy.

Nissan announced a sweeping overhaul that places AI‑defined vehicles at the core of its revival strategy. Chief executive Ivan Espinosa said the automaker will eventually embed autonomous‑driving technology in 90% of its cars, positioning the brand for a future where self‑driving functions become standard. As part of the same initiative, Nissan will reduce its lineup from 56 to 45 models, redirecting capital toward higher‑margin offerings. The move follows a painful restructuring that has already seen seven factory closures and the loss of 20,000 jobs since Espinosa took the helm last year. Speaking at Nissan’s Yokohama headquarters, Espinosa warned that “structural challenges have compounded over time,” noting that the company’s portfolio has aged faster than the market and that fixed costs remain high despite declining scale. The Japanese automaker also unveiled its new battery‑electric Juke, a crossover SUV that will be built at the Sunderland plant in northern England. This model is a keystone of Nissan’s broader electrification push in Europe. While accelerating its EV agenda, Nissan reaffirmed a commitment to hybrid technology, unveiling a new hybrid Rogue (known as the X‑Trail in some markets) aimed at the US, where recent policy shifts have reduced incentives for fully electric cars. To fuel growth, Nissan set ambitious sales targets: an additional 550,000 units in Japan by 2030 and one million units each in the United States and China. The rapid rollout of autonomous capabilities is expected to boost demand for the technology, benefitting partners such as Wayve, the British AI startup that signed its first deal with Nissan a year ago. Bernstein analyst Masahiro Akita called the plan “reasonable” but cautioned that “ongoing macro uncertainty makes it unclear whether Nissan can sustain top‑line growth and achieve a genuine turnaround.”

This week Anthropic revealed that its latest AI system, dubbed Mythos, is so powerful that the company will not make it publicly available, arguing that the potential risks outweigh commercial incentives.U.S. Treasury Secretary Scott Bessent convened senior banking executives to discuss the implications of the model, underscoring growing governmental concern over advanced AI capabilities.In the United Kingdom, Reform MP Danny Kruger wrote to the government urging an immediate dialogue with Anthropic, warning that Claude Mythos could pose "catastrophic cybersecurity risks" to the nation.Critics such as AI researcher Gary Marcus questioned the hype, suggesting that Anthropic’s co‑founder Dario Amodei may possess strong technical skills but is "graduated from the same school of hype and exaggeration" as OpenAI’s Sam Altman.Beyond the policy debate, Anthropic has mounted a striking media offensive. The startup secured a 10,000‑word profile in the New Yorker, two feature pieces in the Wall Street Journal, and a Time magazine cover that placed founder Amodei alongside the Pentagon and U.S. Defense Secretary Pete Hegseth.Co‑founder Jack Clark and Amodei appeared on separate New York Times podcasts, fielding questions about machine consciousness and the model’s potential to "rip through the economy." Their "resident philosopher" even discussed with the WSJ whether Claude, Anthropic’s commercial product used for cryptocurrency trading and missile‑target designation, possesses a "sense of self."Anthropic’s public‑relations lead, Danielle Ghiglieri, celebrated the coverage on LinkedIn, describing the Time cover as a "mad dash" that finally let the company tell its own story.However, the company’s PR triumphs have not been without missteps. In early April, Anthropic inadvertently released part of Claude’s internal source code, though it assured that no customer data or credentials were exposed.Experts remain skeptical about the unverified claims surrounding Mythos. Dr. Heidy Khlaaf of the AI Now Institute warned that the vague marketing language could be an attempt to attract investment without substantive scrutiny.Cybersecurity specialist Jameison O’Reilly acknowledged the model’s novelty but downplayed Anthropic’s assertion of discovering "thousands of zero‑day vulnerabilities," noting that in a decade of offensive operations, zero‑days were rarely needed to achieve objectives.Anthropic also faces operational constraints. The firm has imposed usage caps on its popular Claude model and now requires customers to purchase additional compute capacity for third‑party tools, suggesting that infrastructure limitations may be a practical reason for withholding Mythos.As the race to dominate the emerging AI market intensifies, Anthropic’s strategy appears to blend genuine safety concerns with a calculated publicity push, positioning Mythos as a strategic signal that the company remains "open for business" while keeping the technology under tight control.

The Final Window for Disrupt 2026 RegistrationThe clock is ticking on the most significant opportunity for tech professionals to attend TechCrunch Disrupt 2026. With savings of up to $500 expiring at 11:59 p.m. PT tonight, the window to secure a pass is closing rapidly. This is the last chance to lock in a discounted rate for an event that promises to define the trajectory of the tech industry in 2026.San Francisco’s Moscone West: The Epicenter of InnovationTaking over San Francisco’s Moscone West from October 13–15, Disrupt 2026 is set to be a three-day powerhouse of industry activity. It is not merely a conference but a curated ecosystem designed for those actively building the future. The venue will host a tightly focused experience where the noise of the market is filtered out, leaving only the signal of genuine innovation.Why 10,000 Attendees and 300 Startups MatterThe scale of the event is a key differentiator. With 10,000 founders, VCs, and operators expected, the density of opportunity is unmatched. Furthermore, 300+ startups will showcase their innovations across the venue, while the Startup Battlefield 200 pitch competition offers a high-stakes environment for emerging unicorns. This concentration of talent creates a unique market dynamic where deals are not just discussed—they are executed.Curated Connections Over Passive AttendanceThe value proposition lies in the quality of interaction. Unlike generic trade shows, Disrupt focuses on intentional connections—facilitating direct dialogue between founders seeking capital and VCs hunting for the next big idea. It is a venue where operators exchange real-world lessons on scaling and shipping what’s next. For aspiring innovators, it provides a front-row seat to tomorrow’s technology.The Strategic Value of Early AccessAs the deadline approaches, the opportunity cost of missing this event increases. Securing a pass now ensures access to the same high-profile speakers and networking pool, but at a significantly reduced cost. For any professional looking to align their 2026 strategy with industry leaders, this is the critical moment to act and step into the conversations that move the business forward.

Last‑Minute Discount Deadline Fuels Urgency With only three days left before the April 10, 11:59 p.m. PT deadline, prospective attendees can lock in savings of up to $500 on a TechCrunch Disrupt 2026 pass. The limited‑time offer is designed to attract founders, operators, and VCs eager to secure a seat at the epicenter of the tech ecosystem. What the 2026 Disrupt Event Brings to the Table From October 13‑15 at Moscone West, the conference will gather 10,000+ founders, operators, and venture capitalists for three days of high‑signal conversations and deal‑making. Highlights include: Over 20,000 curated meetings recorded in the previous year. Upgraded networking tools aimed at more targeted connections. Startup Battlefield featuring 200 pre‑Series A companies competing for $100,000 in equity‑free funding. More than 300 startup exhibitors showcasing new products in the Expo Hall. Side events from October 11‑17 across the Bay Area, including breakfasts, cocktail hours, panels, and founder meetups. Financial and Scale Metrics Highlight Event Weight The discount translates to a direct cost reduction for attendees, while the event itself drives significant economic activity: Potential savings of up to $500 per pass, lowering the barrier for early‑stage founders. Historical data shows 20,000+ curated meetings, indicating high deal‑flow potential. The $100,000 equity‑free prize pool for Battlefield winners can accelerate growth trajectories. Why This Discount Matters for the Startup Ecosystem Access to Disrupt is more than content; it’s a gateway to capital, talent, and market validation. By reducing the price point, TechCrunch widens participation, enabling: Early‑stage startups to pitch directly to top‑tier VCs. Founders to secure curated meetings that can change company trajectories. Investors to source high‑quality deals in a concentrated environment. Looking Ahead: What 2026 Disrupt Could Shape Given the scale and the upgraded networking tools, the 2026 edition is poised to amplify trends in AI, hardware, and growth strategy. Expect: Increased cross‑border collaborations as global founders converge. More data‑driven matchmaking, leading to higher conversion rates from meetings to investments. Emergence of new category‑defining startups, following the legacy of alumni like Discord, Cloudflare, and Trello. Stakeholders who secure their passes now position themselves at the forefront of these developments.

Anthropic, a San Francisco-based AI startup, has announced that its latest AI model, Claude Mythos, has proven highly effective in exposing software weaknesses. The model has identified thousands of vulnerabilities in commonly used applications, many of which have no patch or fix available.According to Mike Krieger of Anthropic Labs, the company has decided not to release Mythos to the public due to concerns about its potential misuse by hackers. Instead, Anthropic is collaborating with cybersecurity specialists and engineers in the open-source community to utilize the model as a defensive tool.The oldest vulnerability uncovered by Mythos dates back 27 years, and none were previously noticed by their creators. Anthropic has shared a version of Mythos with cybersecurity companies CrowdStrike and Palo Alto Networks, as well as with Amazon, Apple, and Microsoft, in a project dubbed “Glasswing”.“AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities,” Anthropic said in a blog post. “The fallout – for economies, public safety, and national security – could be severe.”The project aims to protect critical infrastructure from cyber threats, with approximately 40 organizations involved in the design, maintenance, or operation of computer systems. Anthropic is providing about $100m worth of computing resources for the mission.