@systalyze is now #1 in output speed on @ArtificialAnlys, on every model we entered. → Gemma 4 26B: ~10× faster than Google → DeepSeek V4 Pro: 4× faster than DeepSeek → Muse Glimmer: 2.5× faster than Fireworks Try it via our OpenAI-compatible API: console.systalyze.com

Ian Livingstone (@ianlivingstone) CEO of @KeycardAI says the biggest thing standing between today’s AI agents & true autonomy actually isn't intelligence.. “We have apparently AGI, but the real thing that stops us from having autonomous agents that actually work, like a self-driving car, is identity & access.” “Our systems weren't built for agents that are non-deterministic actors.”

We’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash. The system went from its first successful run to production readiness in less than two weeks, with end-to-end throughput tripling relative to the initial baseline. The key was dense feedback: local correctness tests, execution traces, microbenchmarks, and end-to-end measurements that enabled targeted hypothesis testing rather than reliance on aggregate performance metrics alone. z.ai/blog/glm-built-its-infe…

Latham & Watkins buys Nvidia servers to set up in-house AI systems ft.trib.al/0CRKbBl

Founder pitches: less logical, more crazy 🤪 Show me the future, not just the next two quarters.

@Clay just raised a $115M Series D at a $7.1B valuation. Now, more than 17,000 teams build on Clay, including Anthropic, SpaceXAI, Google, OpenAI, Stripe, Visa, UPS — and 80% of the Forbes AI50. @nytimes just broke the news, but the story goes far beyond the raise. AI is unleashing the biggest wave of company creation in history. Clay’s goal is to be the engine they use to grow. Clay is a self-learning revenue engine that figures out the best GTM play for your company, then runs it. We started as the company with the best data about other companies. Then we became the infrastructure to run campaigns across email, ads, and landing pages. Now we’re building agents that learn from every campaign, predict the next best action, and get better each time they run. Software engineers use coding agents to write code. GTM engineers now use growth agents to autonomously grow their companies. In 2023, we introduced GTME as a new role for people creating revenue systems with data, automation, and AI. Two years later, thousands of GTMEs are growing the world's best companies. They are gathering in nearly 100 Clay Clubs around the world, from Bangalore to Boston and Lahore to Lisbon. That’s why we’re proud to launch a $1M scholarship fund, helping more people enter the profession. @Wellington_Mgmt led our Series D, with participation from @sequoia, @stepstonegroup, @a16z Perennial, @MeritechCapital, DST Global, @CapitalG, @BoxGroup, @boldstartvc, @BloombergBeta, and @EvolutionEquity. A gracious thank you goes out to our customers, community, partners, team, and every GTM engineer shaping this with us. We are going to unveil the future of Agentic GTM at SCULPT on October 8. Stay tuned to see how to use AI to grow every company. 🖤🩵❤️💛

Today we're announcing our Series D: $115M raised, led by @Wellington_mgmt, at a $7.1B valuation. Fundraises are good moments to reflect on our journey so far. Act 1 was aggregating the best data. Act 2 was building the GTM infrastructure (audiences, workflows, agents) to run any campaign on top of that data. Now we are entering Act 3: creating the self-learning revenue engine to grow every business. @Clay will predict the next best action for your business and help you take it. Sometimes, that might be a tweak to a subject line or ad copy. Other times, it might be a suggestion to change your marketing strategy, train your sellers differently, or even build a different product based on lost deal patterns.

Today we're announcing our Series D: $115M raised, led by @Wellington_mgmt, at a $7.1B valuation. Fundraises are good moments to reflect on our journey so far. Act 1 was aggregating the best data. Act 2 was building the GTM infrastructure (audiences, workflows, agents) to run any campaign on top of that data. Now we are entering Act 3: creating the self-learning revenue engine to grow every business. @Clay will predict the next best action for your business and help you take it. Sometimes, that might be a tweak to a subject line or ad copy. Other times, it might be a suggestion to change your marketing strategy, train your sellers differently, or even build a different product based on lost deal patterns.

Auth for agents is the biggest remaining gap between cool toy and production grade autonomy. The permission problem is perpetuated by an age of human driven computing where static roles and broad scopes were sufficient - it doesn’t work for agents - permissions have to be task scope and contextual to the progression of the task. We’re solving this @KeycardAI

Auth for agents is the biggest remaining gap between cool toy and production grade autonomy. The permission problem is perpetuated by an age of human driven computing where static roles and broad scopes were sufficient - it doesn’t work for agents - permissions have to be task scope and contextual to the progression of the task. We’re solving this @KeycardAI