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AI is making marketers lazy. So we made the website do the work instead. Today, we're launching @ployai: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by @ycombinator and @firstround. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at @hex_tech and @clay_run, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clientsβ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.
Breaking: @YCombinator startup heyClicky website has been reported deceptive by @Apple π± https://t.co/rq47vO9dOr
@odysseyml So happy to see you all got the gas to complete the dreams your founder laid out here: https://t.co/K4Xlu9ijOt
The fastest growing app of all time. It is a real time world model that generates videos so fast. It is highly addicting. Which is why it is growing so fast. @olivercameron, former founder of Cruise autonomous vehicle company, takes me into this new field and explains why the
So blessed to have been the first to really understand @odysseyml's founder's dreams here in this video in a Silicon Valley park: https://t.co/K4Xlu9ijOt
Weβve raised a $310M Series B to accelerate world models! We believe AI that can understand and simulate the world will be one of the most important technologies of our time. We're excited to partner with Natural Capital, Amazon, GV, AMD, IQT, and others to bring this to life.
Weβre announcing 3 things as part of the Crosby Intelligence launch today: 1/ RedlineBench with @micro1_ai β publishing the first benchmark measuring how frontier models handle multiple steps of a complex, real world contract negotiation*, hosted on @huggingface 2/ The Crosby Intelligence Research Fellowship β funding two fellows pursuing frontier research with support from @OpenAI: $25K + $12.5K Codex credits each 3/ Hosting the most interesting conversations in applied AI at our Soho office, featuring @paraga, @rahulgs, @PeterHndrsn, @NeelGuha, and more *built externally with no client data Read more about all three at https://t.co/WuoSfT4g2E
Today, we're launching Crosby Intelligence to push the frontier of legal AI forward. https://t.co/ia3NGm3390
Today, we're launching Crosby Intelligence to push the frontier of legal AI forward. https://t.co/ia3NGm3390
Our CEO Jerry Liu is joining founders from LangChain, CrewAI, and others at @Databricks #DataAISummit today for a panel on the The Agentic Stack β what the stack looks like, where it's headed, and what happens when agents become the primary consumers of infrastructure, not humans. Panel begins at 11.30 am, see you there. π
I made Physical AutoResearch sound simple (conceptually), but it took a village to pull off and lots of design thinking into the robot /loopcraft. The hardest part is everything we need to setup *before* pressing Enter. Here's a behind-the-scene tour: 1. Safety harness Letting 8 robots run unattended overnight means safety has to be more than a hint in the system prompt. ENPIRE hardwires it in 2 layers: (1) hard kinematic limit that trips an immediate task failure and auto-resets as soon as a robot leaves its safety envelope, and (2) a torque-limited compliant gripper so a bad contact or misaligned insertion ends in a safe stall, instead of crushing the robot or the object at hand. We make safety more conservative than usual so humans can sleep tight. In reality, we still need a few human operators to watch over the "robots of loving grace". 2. Definition of /done An agent that can edit its own reward will game it for sure. ENPIRE fixes the goalposts before the fleet can move them. Here's the recipe: Collect a few minutes of success & failure demos -> Ask agent to write code using computer vision tools to classify success and measure against groundtruth -> Agent hill-climbs on classifier until reliably good -> This classifier becomes the real-time reward function that directly computes on sensor streams -> *Freeze* the reward function before AutoResearch. It's sacred, enshrined in a Gym env that no one can touch. 3. System telemetry design Robot-seconds is by far the scarcest resource, followed by GPU-seconds, and finally tokens. We instrument all three and surface them to ENPIRE for live resource awareness rather than letting it hill-climb in a vacuum. We define: - Mean Robot Utilization ("MRU"): the fraction of wall-clock time when the robot is actively executing an experiment. Otherwise the hardware is sitting idle and waiting for the next code commit. - Mean Token Utilization ("MTU"): tokens consumed per minute, our proxy for how hard the agent is actually thinking. A low MTU means the agent is stalled, waiting on a robot rollout to finish instead of doing research. - GPU utilization: fraction of wall-clock time when GPU is active. ... and evaluate on two budget-to-outcome metrics: 1. Tokens-to-Success: token budget the fleet burns to complete /goal. 2. Time-to-Success: wall-clock time to /goal
Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy
Introducing Epicβs version control system: Lore! Built from scratch and open-sourced, we made scalability and performance core tenets from day one. Weβre releasing Lore as open source today.All source code, along with documentation of data formats and protocols are released under an MIT license and free to use. Help shape it into something even more powerful, together: https://t.co/zplVMjkRof
We're releasing MolmoMotion, a 3D motion forecasting model. Given one or a few video frames, 3D points on an object, & an instruction like "Put the white bowl on the table," MolmoMotion predicts where those points will go over the next few seconds in a shared 3D world frame. 𧡠https://t.co/F9wfwSQHRN
Very cool and massive dataset on @huggingface of course: https://t.co/1OvlkLhdGl!
Announcing @xdofai: Weβve raised $70 million to build the core robotic infrastructure ecosystem for robot foundation models. My cofounders Fred (@YideShentu), Nemo (@itsnemojin) and I have been pursuing the dream of general purpose robots for our entire lives. After work at Cova
Very cool and massive dataset on @huggingface of course: https://t.co/1OvlkLhdGl!
Today we release Nemotron-Personas-Belgium in collaboration with @NVIDIAAI , a synthetic dataset of 4x300k Belgian personas in Dutch, French, German and English. The dataset is modeled on the @Statbel_en census, modeling age, occupations, household, income, names etc. https://t.co/YpX2rTUxsG
The GitHub Copilot app is now generally available. π The new home base for your work. Pick up what's next, direct agents in parallel, and land your PRs, all in one place. β¬οΈ https://t.co/CzGspjw66P https://t.co/1zygo38zrX
The @github Copilot app is now generally available. Hand off from agent powered flows in the app to full coding in @code without losing context or the conversation. π Learn more: https://t.co/wCY5fQJ9Dw
The GitHub Copilot app is now generally available. π The new home base for your work. Pick up what's next, direct agents in parallel, and land your PRs, all in one place. β¬οΈ https://t.co/CzGspjw66P https://t.co/1zygo38zrX
Not sure where people got the idea that there could be a political dimension to how the admin treats Anthropic https://t.co/GNffznqwHj
ModCon is back. August 18th. San Francisco. A full day of AI infrastructure talks, launches, and workshops, with speakers including @dylan522p of @SemiAnalysis_ , @jerryjliu0 of @llama_index, @DynamicWebPaige of @GoogleDeepMind, and @sidsheth of @dMatrix_AI. Limited spots. Early-bird pricing ends July 1st. Get your ticket: https://t.co/ScCAr9NjHc
HappyOyster 1.0 is now live! Happy Oyster 1.0 is an open-ended world model product for real-time world creation and interaction. Create your world now at https://t.co/yA7ArX71MF β let's explore together! Directing: Real-time interactions: Chat with virtual companionsβevery prompt changes the experience. Rewrite story: Pause, rewind, and generate a new path whenever you want. More ways to play: Virtual pets, dress-up, mystery boxes, and hidden interactions waiting to be discovered! Adventure: Explore extraordinary places: From deep ocean floors ruins to oil paintings or surreal dreamscapes. Feel the freedom of movement: Skate, parkour, and wingsuit through dynamic worlds. Open-world interaction: Move freely with WASD controls, jump, hide and battle enemiesβjust like playing a game! Limited-time rewards: Get FREE credits daily until July 17! Start exploring: https://t.co/B0PTG1NSaA The world is your oyster. Open it.
Joshua Baer, founder of Capital Factory, died in a private jet crash in Laredo, Texas. Baer turned a 2009 accelerator into the hub of Austin's startup scene as mentor, convener and early investor. FAA and NTSB are investigating. https://t.co/TbrxbMQ5Qc https://t.co/yNLlI5ABeA
Verifiers are a big deal! https://t.co/3Eauh88Zmj
@rahulgs Strongly agree with all of the above. We are entering the next era of code, where the model is able to generate correct code for an increasingly large percent of tasks. Our job is to make sure the model and our systems have the right guardrails, then to run Claude Code
GPT Image 2 on Chatgpt Prompt: Please transform the entire image into a single Decorative Folk Flat Illustration with Doodle elements. Use a bold and playful color palette, completely different from the original image. Simplify all details into clean, flat shapes with a handmade, slightly imperfect feel, as if drawn on a sheet of white paper. The overall style should look cute, childlike, and whimsical
OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei were among tech bosses at a G7 working lunch on AI, as the US decision to restrict access to Anthropic's most advanced models causes tension among allies https://t.co/IfdWD2xPs3 https://t.co/XSGLQWfYtX
We're seeking a Senior Cloud Operations Engineer who will play a pivotal role in the PyTorch Foundation, leading cloud infrastructure and DevOps initiatives. Apply at: https://t.co/4GCuyBacyn https://t.co/WNpcvqEo8H
Introducing eve, an agent framework. πππππ/ πππππ.ππ ππππππππππππ.ππ πππππ/ ππππππ/ πππππππ‘/ πππππππππ/ Like Next.js, for agents. https://t.co/ezUIGLkSqG
https://t.co/pntz79f9Vp
@Fhotec @the_tech_space so sad. one of my favorite actors ever. https://t.co/sagd7w3Fm7
Hermes is literally cooking everyoneπ 1 most popular (19.4t tokens) and 1 top coding agent open source cli is just built different fr fr thanks @NousResearch team and super @Teknium https://t.co/bT1saWxqkF
π Built something with #PyTorch? Show it off at the Poster Sessions during #PyTorchCon North America, October 20-21 in San Jose, CA. Poster submissions are due July 26: https://t.co/M7WmgnmuKJ https://t.co/x19zUnxmnC
DeepSeek just changed the AI game. While headlines focus on whether DeepSeek V4 βbeatsβ GPT-5.5 or Claude Opus 4.7, theyβre missing the bigger story. The real breakthrough isnβt the model. Itβs the economics. For the first time, a near frontier-level open model is available at a fraction of the cost of the leading proprietary models. That changes everything. The question is no longer: βWho has the smartest AI?β The question becomes: βWho can deploy intelligence fastest?β Weβve seen this movie before. Linux democratized servers. Android democratized smartphones. Cloud democratized computing. Now AI is being democratized. The winners of the next decade wonβt necessarily be the companies building the largest models. They will be the companies that: β Build the best workflows β Own the best data β Create the best user experiences β Solve the most valuable business problems Intelligence is becoming abundant. Execution remains scarce. As AI gets cheaper, the advantage shifts from technology to strategy. The future belongs to those who can orchestrate intelligence, not just access it. The AI race is no longer about models. Itβs about systems. And weβre only getting started.
Not an Onion headline https://t.co/hM4X8ZB1uV
@vonderleyen Claude Mythos national security threat crisis calls for stricter AI regulations: https://t.co/V25NMs4pdE
π¨ Anthropicβs Safety & Transparency Collapsed: Mythos Leak Hides +1.5K Instructions Jailbreaks hand factory settings to foreign countries. National security crisis. Anthropic public system prompt: Large parts gone. Can AI labs be trusted? Not without regulations. π³οΈπβ ht
