happy to see @Honda AU become a @listnrai client 🙏 few more billion-dollar corps to join the list soon 🫡

Today, we’re introducing EzUGC MCP. We spent the last several months on building EzUGC to be one of the quickest methods of making AI UGC, product videos, photoshoots, and on-brand assets without compromising on quality. Our agent harness scours Reddit, YT, Instagram, TikTok and Meta Ads to learn what your competitors are doing - what's winning and what's not and then recreate that for you, in your own brand language. EzUGC MCP brings our creative engine directly into the AI agent you already use, whether that’s Claude, Cursor, ChatGPT, Hermes, or anything else that supports MCP. Generate ad concepts, hooks for Meta, TikTok, and YouTube without leaving your MCP client. Live on EzUGC today!

what a gangster still

launched on appsumo after my tweets went viral, made some $$, built in the ai voice space, flexed some acquisitions now building in ai ugc imitation is the sincerest form of flattery ig, build on a faker and a loser of the highest order, insane to me how everyone's bullshit detectors haven't gone off yet

indian tech needs to focus on diffusion language models and let go of the autoregressive transformer bs griffin is a great example here, sliding window attention vs brute forcing a higher context window is naturally more efficient than autoreg

In all seriousness, I’m raising $10m to build the first series of ~500B param models, built in India for the world DMs open

Wait what? Rio 3.5 Open 397B, developed by IT company of Rio de Janeiro's city government is now SOTA open source and even outperforming Qwen 3.7? What is happening today. Never heard of them before.

i just hope someone at deepseek was able to distill fable 5 or do some type of reverse eng. may god bless

my entire fucking feed is now people engagement farming over the fable 5 block, thanks anthropic

Short dramas have quietly scaled into a mainstream format, and most of the US still hasn't noticed. Serialized, vertical, and made for the phone. Episodes run one to two minutes, seasons run 100 to 150. In China it's already obvious. More viewing time now goes to short dramas than to long-form streaming. And AI is moving in fast: on Douyin's top 5,000 titles, close to one in five are now AI-generated, up from none four months ago. Coatue sector head @lordbartonjr on why China could be the early signal for what reaches the US next.

some of the ads the agent produced are literally insane something brands would legit put $$ behind

manus who?

David's piece makes a ton of great arguments for why recording meetings helps compound an organization That being said, I strongly believe that individuals should also have the ability to opt out of being recorded - especially in non-work settings If you're working on devices that make people "recording-proof" (ie interfere with any unwanted or unknown recordings), I'd love to talk. In particular, I'd be keen to be an early adopter

Lots of evidence of huge jumps in capability for Fable across coding (and related) tasks. It’s also a major jump in accuracy and success in complex knowledge work tasks. In our Box AI Complex Work Eval, we tested the model against Opus 4.8 and saw huge boosts across almost every industry. For our eval we give the Box AI Agent, using Fable, a set of hard real world knowledge work problems that deal with enterprise documents. Then score how the agent performs the tasks. The main differentiators for Fable vs Opus 4.8 is that it doesn't take shortcuts on complex reasoning, it gets multi-step calculations right, and it's significantly more consistent across runs. We saw the biggest leaps in Media & Entertainment (78% vs 61%), Technology (81% vs 73%), Financial Services (89% vs 83%), and Healthcare (66% vs 60%). Here are some specific examples: * Legal M&A due diligence: On a task reviewing NDA terms against a semiconductor company's contracting policy, Fable correctly identified that a joint-ownership clause violates exclusivity requirements while a liability cap is permitted under a Super Cap exception. Fable scored 100% vs Opus's 78%. * Healthcare: On a clinical radiology error audit across 12 reports, Fable precisely categorized each error by severity grade and correctly concluded no Grade 3 errors existed. Opus prematurely escalated a case to "major error requiring immediate departmental review" when the evidence didn't support it — Fable 63% vs Opus 41%. * Media & Entertainment: On a genre profitability projection task, Fable correctly recognized that a 20% Argentine tax deduction was already embedded in the source spreadsheet figures and didn't double-apply it. Opus applied it again on top — a compounding error across 4 genre calculations that took its score negative on the task vs Fable's 74%. * Retail analytics: On a task analyzing high-growth product articles against an investment benchmark, Fable correctly computed each article's growth rate individually and identified that only 2 of 5 exceeded the threshold. Opus confused "high growth relative to average" with "above the benchmark" — scoring 61% vs Fable's 94%. * Financial Services: On a 5-year debt facility projection, Fable correctly applied interest to opening balances and used the right capex figure. Opus applied interest to the total facility amount and computed tax from the wrong base — two compounding errors. Fable scored 83% vs Opus's 62%. * Technology: On a SaaS feature valuation requiring computation of a Feature Value Index across multiple regions, Fable applied the formula correctly and got exact values for the markets. Opus got the arithmetic wrong on multiple criteria — Fable scored 100% vs Opus's 74%. Overall, huge step change in complex analysis, work that requires analytical reasoning, and deep domain understanding. Fable will be available shortly in the Box AI Studio for customers to build agents with.

no thanks, i will do everything in my power to avoid this fate

wanted to play uncharted 4 tn but ig i'll be diving into block diffusion

x.com/ananbatra/status/20646… a crytal ball if you may...

well said but...