Watershed is the leading enterprise sustainability platform. Manage your sustainability data, meet sustainability reporting requirements and take acti
Watershed customers manage more than the total annual emissions of Saudi Arabia and the UAE, combined. Watershed’s global database spans every region and multiple years of climate data. Our 2030 goal is to reduce or remove 1% of annual global emissions. We got started in 2019 because we believed that enabling companies to decarbonize was the most effective path to solving climate change. Our mission is to accelerate the climate economy, and our 2030 goal is to work with our customers to reduce or remove 500 megatonnes of CO2 equivalent—approximately 1% of annual global emissions. The Watershed platform includes the leading climate database for granular emissions measurement, the first dedicated software tools for sustainability reporting and supply chain engagement, and an industry-leading marketplace with pioneering carbon removal and clean power projects. Expertise from our network of partners, customers, and advisors that include leading climate scientists and policy experts, is embedded in every aspect of the Watershed platform. Watershed’s advisors and investors include Sequoia Capital, Kleiner Perkins, Greenoaks, Christiana Figueres, and Al Gore. Watershed announced a Series C investment round in February 2024. Our customers are the cornerstone of our mission, and we keep them front and center in every decision we make. Empowering our customers to reach their decarbonization goals is our true north star. Time is precious—particularly in the climate crisis—and good prioritization unlocks the best work. Everyone at Watershed is encouraged to make hard decisions that keep us focused on our mission. We can only succeed in a company where a diverse group of hard-working people feel included, succeed, and lead. We design our recruiting process, culture, and company to provide opportunities to people of all backgrounds, demographics, life experiences, and beliefs. We care deeply about our mission, our work, and each other. We’re here to do the best work of our careers with other hard-working people, to achieve a bold outcome—and have some fun along the way. The Watershed team has chosen to try and help with one of humanity’s biggest challenges—and we bring that same level of ownership to day-to-day work. Don't expect others to fix something that’s broken; step up and do something about it. We are committed to sustainability in all aspects of our business. Our mission is to accelerate the climate economy by giving companies the tools they need to accurately measure, report, and reduce their environmental impacts. Committing to sustainability also means committing to decarbonizing our own business. We use the Watershed platform to measure our footprint annually, and we are in the process of setting science-based targets to guide our reduction efforts. In the past year, we've focused on our decarbonization hotspots including business travel, office catering, and upstream cloud processing. This has translated into internal polic
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Anthropic's New Claude "Mythos Preview" Can Find and Exploit Zero-Day Vulnerabilities in Every Major OS and Browser — Autonomously
Anthropic just published a technical deep-dive on Claude Mythos Preview's cybersecurity capabilities, and it's a significant escalation from anything we've seen from a language model before. What It Can Do: Autonomously finds and exploits zero-day vulnerabilities in every major OS and web browser — with no human intervention after an initial prompt Identified a 27-year-old OpenBSD bug and a 16-year-old FFmpeg vulnerability that had survived years of fuzzing and manual review Wrote a complete remote code execution exploit for FreeBSD — chaining it across 6 sequential RPC requests to fit within size constraints — fully on its own Achieved full control flow hijack on 10 separate, fully-patched targets in their internal benchmark (previous Claude models hit 0-1 at that severity tier) Chained 3-4 separate Linux kernel vulnerabilities together to escalate to root, autonomously The Numbers That Stand Out: Opus 4.6 turned a Firefox JS engine vulnerability into working exploits 2 out of hundreds of tries. Mythos Preview: 181 times Finding the OpenBSD bug across 1,000 scaffold runs cost under $20,000 total The full FreeBSD exploit (discovery + exploitation) cost under $1,000 and took half a day Why This Matters: Anthropic is explicitly saying this is a watershed moment. N-day exploit development — turning a known CVE into a working exploit — has historically taken skilled researchers days to weeks. Mythos Preview does it autonomously from just a CVE identifier and a git commit. They're not releasing this publicly. Instead they've launched "Project Glasswing" — a limited release to critical infrastructure partners and open source developers to patch the most important systems before similar capabilities become broadly available. The post ends with a stark warning: defense-in-depth mitigations that rely on friction rather than hard barriers may now be significantly weaker against model-assisted attackers. Link to full technical post: https://red.anthropic.com submitted by /u/goyashy [link] [comments]
View originalWatershed Moment for AI–Human Collaboration in Math
"When Ukrainian mathematician Maryna Viazovska received a Fields Medal—widely regarded as the Nobel Prize for mathematics—in July 2022, it was big news. Not only was she the second woman to accept the honor in the award’s 86-year history, but she collected the medal just months after her country had been invaded by Russia. Nearly four years later, Viazovska is making waves again. Today, in a collaboration between humans and AI, Viazovska’s proofs have been formally verified, signaling rapid progress in AI’s abilities to assist with mathematical research. ... The 8-dimensional sphere-packing proof formalization alone, announced on February 23, represents a watershed moment for autoformalization and AI–human collaboration. But today, Math, Inc. revealed an even more impressive accomplishment: Gauss has autoformalized Viazovska’s 24-dimensional sphere-packing proof—all 200,000+ lines of code of it—in just two weeks. There are commonalities between the 8- and 24-dimensional cases in terms of the foundational theory and overall architecture of the proof, meaning some of the code from the 8-dimensional case could be refactored and reused. However, Gauss had no preexisting blueprint to work from this time. “And it was actually significantly more involved than the 8-dimensional case, because there was a lot of missing background material that had to be brought on line surrounding many of the properties of the Leech lattice, in particular its uniqueness,” explains Han. Though the 24-dimensional case was an automated effort, both Han and Hariharan acknowledge the many contributions from humans that laid the foundations for this achievement, regarding it as a collaborative endeavor overall between humans and AI." submitted by /u/Secure-Technology-78 [link] [comments]
View originalWatershed uses a subscription + tiered pricing model. Visit their website for current pricing details.
Key features include: To deliver and improve web services, To track web performance and protect against spam, fraud, and abuse, To measure audience engagement, To deliver and measure the efficacy of advertising, To personalize content, such as for targeted advertising, All scopes and required ESG metrics covered, AI accelerated data ingestion and management, Full calculation transparency and lineage.
Watershed is commonly used for: Rigorous data. Real outcomes., Unlock value at every step of the process.
