For 30 years, technology has moved in one direction: turning information into intuitive interfaces Somehow, the smartest software we’ve ever built took us back to a textbox We’ve spent the last 2 years at @openuidev trying to fix that. 6 months ago we open-sourced it: 10K+ GitHub stars, 6M+ downloads ChatGPT shipped Intelligent UI and showed everyone what it looks like Today we’re releasing OpenUI 1.0 bringing it to every other agent

Introducing SubQ Snap, the first long-context decision model for real enterprise work. Snap is the only decision model or LLM where compute per token stays constant as context grows. • 384K tokens of multimodal context, 12x larger than Jev. • 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks. •Processes 100K tokens and returns a decision in under one second. •$0.05/MM input tokens. Output is free. Available today to anyone. The first 10,000 sign-ups get 100M free input tokens. We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂. Latency will be variable as we tune the platform to this new model and category of users. Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k. Visit: subq.ai/

WTF is a SOTA Wife? SOTA Wives is a podcast exploring the unfiltered side of Silicon Valley. We built it as an antidote to the performative polish of tech Twitter. Brought to you by @MilksandMatcha x @vivianmshen. Episode 1 goes live on Monday, 12th October at 9 AM PT on everywhere you get your podcasts 💙

we've raised $50M from Khosla Ventures, Accel, Initialized, Kevin Weil, DST Global to build the world's most wearable BCI cap at Sabi read more here: forbes.com/sites/rashishriva…

Everyone is sick of generic AI, including us. Gamma was the first AI presentation platform to reach real scale. But now that AI tools are everywhere, everything looks the same. Earlier this summer, we came to an uncomfortable conclusion: without a step change in visual variety, Gamma’s output would look and feel too similar to all the other AI tools. The entire point of a presentation is to help someone "get" your idea, to see it as unique and do something with it. We started over. Today we're shipping Gamma 5, the biggest product overhaul in our company's history. We rebuilt Gamma to create presentations that actually look like you and your brand. Your teams can design anything they dream up, following your brand's aesthetic or something entirely new, with every frontier and image model under the hood. And the same goes for your docs, social assets, and graphics. We revamped our agent, design tools, editing, import, export, connectors, and more. Get your ideas out there.

We built an AI that saves your ass. Meet Lucas. It’s been meaning to text you. It lives in your texts, learns your life, and prompts itself. It books, pays, orders and checks you in. Usually before you’ve thought of it. Overnight, it goes exploring for things your life could use. Text Lucas today on iMessage and WhatsApp meetlucas.ai

This is Kled V3. We've solved data collection for artificial general intelligence. Any consumer dataset that can exist, can now be collected from physical reality in under 72 hours. All powered by the largest and most comprehensive data application layer on the planet. (Thread)

BTQ has signed a three-year commercial agreement with @KaiaChain to deploy QSSN, with LINE NEXT’s Unifi Wallet among the first expected to benefit. The agreement marks QSSN’s first recurring commercial deployment, with BTQ earning a share of secured transaction fees. newswire.ca/news-releases/bt… $BTQ

You’ve spent years teaching people how your company works. Your AI needs that knowledge too. Introducing Connect AI Gateway. It routes, governs, and learns from AI requests, building a system of record for how your company thinks. Early access is live: cdata.com/ai

Introducing Monsoon ASR ⚡️ @voicearena_ai Speech recognition does not have a model problem anymore. It has a data problem. The best ASR systems are approaching human-level performance in English. But move into the long tail of the world's languages, especially real, conversational speech and error rates can still be 5-10X higher. Today, we're releasing Monsoon ASR: a new generation of training data built specifically to close that gap. 50 languages. 100,000+ hours. Dense spontaneous speech. And one goal: Single-digit WER across the world's languages.🧵

Introducing Diarization Bench, @voicearena_ai's benchmark for who spoke when. The metric we measure is diarization error rate, or DER. It measures how much of a conversation a model attaches to the wrong person. Every second it misses, invents, or gives to another speaker counts against it. Here's what we did. 139 conversations recorded for this board, in rooms and on calls, with people interrupting each other throughout. 12 systems scored under a single goal: testing models in the real-world conditions they are actually deployed in. @nvidia's Nemotron 3 leads at 14.72%. 🧵

Introducing Sherpa: the most advanced fiction writing AI We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data. 550K+ creators have produced 2.6M hours of content annualised using it Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios. 10% of eligible writers on Pocket FM make >$200K One blockbuster produced >$100M in revenue 3 writers have become millionaires in <2 yrs We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories: 1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it like a veteran editor on tension, stakes, and psychology 2. World & Characters: It builds out the complete lore, tone, and character psychologies 3. Sub-Plot planning: Breaks the premise into arcs, arcs into episodes, and episodes into scenes 4. Scene-by-Scene Generation: Outlines and drafts entire episodes, with you able to steer, rewrite, or override anytime 5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence before it locks 6. One-Tap Production: Pick a voice, convert to audio drama, and publish directly to Pocket FM’s millions of listeners 7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across international markets Test Sherpa for free here: pocketfm.com/sherpa _____________________________________________ Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function. Sherpa solves this through three core technical leaps: 1. Narrative World Model (State Tracking & Retrieval): Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across hundreds of episodes 2. Hierarchical Story Planner: When writing a 500-episode story like Naruto, you need to plan 100s of sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene. Rather than generating everything upfront, like a generic LLM, Sherpa uses progressive planning and dynamic replanning. As the story evolves, it identifies what changed, traces the downstream impact, and replans only the affected parts. 3. Prose Engine (Trained on series' retention data): LLMs write robotically, but serial fiction needs emotion, tension, pacing, and dialogue that sounds like real people. Sherpa's Prose Engine was designed specifically for storytelling. It was built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked. Feedback is taken from specialized evaluator models that measure every scene against a 40-item checklist. (Evaluator models were benchmarked against human reviewers and matched them 80–90% of the time.) _______________________________________________ Owning distribution and creation puts us in a very unique spot. More shows -> More data -> Sherpa becomes better -> more creator success -> more creators -> more shows Pocket FM has already seen one $100M IP. I believe Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows. Most people are scared of AI but I think it'll unlock more human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.

Introducing Jarvis Bench v0.5, @voicearena_ai's conversational agent benchmark. We've been obsessed with one question at VoiceArena: why do voice agent demos sound incredible, benchmarks say models are near-perfect, and yet you probably didn't have a single real conversation with a voice agent in the last 24 hours? Here's what's different about the Jarvis Bench. Real humans have live conversations with voice agents. A second group of humans blind-votes pairwise on two questions: which sounded more human, which got the job done. And one of the "agents" on the leaderboard is a human.

The Nebius AI Builder Program is now available. AI isn’t just a model you call anymore. It’s a system you build. And builders, not a few closed labs, will decide what it becomes. The open ecosystem has all the pieces. We want to make it easier to put them together and start building. The program is free, with $400+ in credits and discounts, working code and cookbooks, office hours with engineers, and a community to build with. We’re joined by @NVIDIAAI, @LangChain, @huggingface, @cognition, @OpenHandsDev, @tavilyai, @TolokaAI, @composio, @PrimeIntellect, @MiniMax_AI, @Alibaba_Qwen, and more joining soon. Join with the link in the comments 👇

BTQ Technologies Appoints Dr. Michael Grace to Advance QCIM Product Security and Commercialization newswire.ca/news-releases/bt… $BTQ

We just killed OpenRouter. AI routers made $100+ million last year charging 5% markups on every dollar. Today that ends. Introducing Straitly the world’s first AI gateway that charges 0% markup on your tokens. No Stripe or Credit Card processing fees. With one API key, you can access 142+ models from than 20+ providers. Straitly auto handles handles provider failures via intelligent re-routing achieving a 99.98% success rate while still optimizing for cache hit rates. To celebrate our launch we are giving up to 30% off your first $10k (yes, $10,000) of token spend, plus $100 in free credits upfront. If you are an ambitious builder who's spending lots on tokens we want to hear from you! Comment below what you're building + highest usage model, then head over to straitly.ai and fill out a form with your @x username.

Wall Street's most watched warning gauge just hit 9.7 out of 10. Any score above 8 means sell. It has not been this high since the 2021 market peak. And almost nobody is protected this time. Here is what you need to know: Bank of America tracks a gauge called the Bull and Bear Indicator. It measures how greedy or fearful big investors are right now. Any reading above 8 is a warning to sell. On August 8, it hit 9.7. That is the highest reading since 2021. Back then, it marked the peak of a wild market rally. What came next was one of the worst years for stocks in decades. Now here is the scary part: The professionals are almost all in. Fund managers are holding record low cash, just 3.6%. That means they have little money left on the sidelines to buy dips. Nearly half of them hold no protection against a drop at all. That is the most exposed they have been since 2018. Everyone is betting the same way. Up. And the exits get crowded when everyone stands on the same side. History shows why this matters: > This signal has flashed 17 times since 2002. > After each one, global stocks fell an average of 2 to 3%. > In the worst cases, the drop reached 15 to 20%. It is not a guarantee of a crash. But it is a clear sign the crowd has gotten greedy. Meanwhile, regular investors keep pouring money in. A single recent week saw $32.9 billion flow into stocks. The S&P 500 is sitting at an all time high. Everyone feels smart when the market only goes up. That feeling is exactly when risk is highest. This is the trap that catches retail every cycle. They buy the most right when everyone else already has. They hold no protection because nothing has gone wrong yet. Then the mood shifts and the selling starts. The people who panic at the bottom fund the gains of those who stayed calm. Bank of America's own advice was blunt. Retreat from risk. But here is the real lesson: You cannot time the exact top. Nobody can! The answer is not to guess when the crowd turns. It is to follow rules that already know what to do when it does. Rules that trim risk automatically, without fear or greed in the way. Surmount was built to run that discipline for you:

It's no secret how we feel about typing at Wispr Flow. The truth is, we hate messy meeting notes too. Introducing Notetaker 👇 wisprflow.ai/notetaker

Claude can now analyze the stock markets 24/7 FOR FREE ! Describe your setup in English. It sits on 3,000+ live market endpoints and hits you the moment it triggers. For every account created in the next week, July 31st - August 7th. You get: > $50 in Claude Fable-5 / Opus-5 credits > UNLIMITED Gemini credits, free, forever > All 3,000+ market data endpoints > 50+ Pro skills and alerts ... much more 👇