AI, Tech and Robotics || Bringing the future to you. || DM for collaborations || đź“© - [email protected]
United Kingdom
Joined July 2020
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Did you know uploading one prompt to The AI Library earns you points?
Go to Prompts > Browse Prompts and upload it. It goes into the community library and you climb the leaderboard with it.
Upload your first prompt today at theailibrary.co
GTA San Andreas just got a new mission built with Claude Code, and CJ now has to start a startup and pitch investors in San Francisco.
MemT 1.0 puts persistent memory inside the model’s computation.
One result stands out: at 128K tokens of history, the team reports approximately:
1.86Ă— faster end-to-end inference
66Ă— lower persistent storage
For Nano compared with full-context KV cache.
An interesting direction as AI takes on longer-running tasks.
huggingface.co/collections/M…
Can large language models retain information from past interactions and reuse it in the next task?
Introducing MemT-1.0: Towards Memory-Native Evolution.
This time, we've built memory directly into the model architecture.
Our MemT-1.0-Nano and MemT-1.0-Flash make persistent memory part of model computation, carrying information across interactions.
You can now run a strong coding model on your laptop with no internet and no API bills.
Flint's weights are free on Hugging Face under Apache 2.0, it works with Ollama, LM Studio, llama.cpp and vLLM, and it supports up to 512k tokens of context.
Your code stays on your machine the whole time.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
You finally pick an AI agent, and suddenly everyone's recommending something better.
That's why we interested in @feedbackbench's Personal Agents rankings that launched today, tracking weekly changes like Grok Bot moving ahead of Hermes Agent.
It's built by @enterpret_ai, which helps AI-native product teams turn customer feedback into evidence they can act on.
We’d rather follow what real users think than chase every new recommendation.
feedbackbench.com
Picking a personal agent? Ask the people who use them.
We analyzed 218,149 public posts from 132,844 users across Reddit, X, YouTube and the app stores, and ranked nine personal agents from @AIatMeta, @OpenAI, @GeminiApp, @SpaceX, @NousResearch and others on what users actually say.
Meta’s Muse leads overall, with the highest customer love on 22 of 53 criteria. And when people compare Hermes Agent and OpenClaw directly, 83% of those who pick a side choose Hermes.
But the best one for you depends on what you need. Want an allowance that lasts? Users rate Muse best. Want to choose your own model? That’s Hermes Agent. Want agents that work as a team? Grok Bot.
Rankings update every week. Find yours at feedbackbench.com
Future Stacked retweeted
Picking a personal agent? Ask the people who use them.
We analyzed 218,149 public posts from 132,844 users across Reddit, X, YouTube and the app stores, and ranked nine personal agents from @AIatMeta, @OpenAI, @GeminiApp, @SpaceX, @NousResearch and others on what users actually say.
Meta’s Muse leads overall, with the highest customer love on 22 of 53 criteria. And when people compare Hermes Agent and OpenClaw directly, 83% of those who pick a side choose Hermes.
But the best one for you depends on what you need. Want an allowance that lasts? Users rate Muse best. Want to choose your own model? That’s Hermes Agent. Want agents that work as a team? Grok Bot.
Rankings update every week. Find yours at feedbackbench.com
New client announcement, the way we announce every launch we cover.
Client: Viktor, the AI employee.
$50M annualized revenue run rate, about seven months after launch. 70,000+ teams have hired him.
He has been our client since June. Most brands run one campaign with us. He keeps coming back, and we keep saying yes, for a reason most people would not guess.
He works our sponsor desk.
Every brand that wants in front of the 293,000 people who follow us goes through three steps: the pitch, the rate card, the report. Before him, all three happened between posts, and the sponsor inbox always lost.
The pitches. He sorted 49 in one week, flagged the 5 that fit this audience and drafted the declines. We read every one before anything went out.
The rate card. He rebuilt it from our last 67 posts, priced on what each format actually delivers. Explainers pull 3.4x the views of news posts, so they are priced like it.
The report. After every sponsored post he drafts the brand's recap: views, clicks and the replies worth reading. We check it, then it goes.
Nothing reaches a brand without our sign-off. He proposes, we approve.
We cover the future every day. This one is on our client list, and on our team.
Hire @viktor_com for your team. Start free, no credit card.
#AIemployee #AI #Tech
If AI models are the rock stars, the engineers building the infrastructure deserve a standing ovation.
EAGLE-4 just gave us another reason to be bullish, with its launch paper reporting 4x the throughput of regular decoding in its tested setup.Â
The next wave of AI could get very interesting when improvements like this reach more developers.
See what EAGLE-4 is building: github.com/eagle-hq/EAGLE-4
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE-4
The next app you use could be one you simply asked for.
 Wabi can create interactive apps around what you need and keep them alongside your chats and personal AI assistant, so you can use them where the conversation happens.Â
Think of a fitness tracker for a challenge with friends, or a shared planner built around the trip your group is organising.
Wabi 2.0 is live!
personal agents are one person, one chat. but the parts of life that matter run on more than one person
Wabi is an agent you use together. you talk to it, it does stuff, builds the apps you need, and anyone can join the thread - your partner, your best friend, the preschool moms groupchat
school changes pickup time → Wabi updates the family calendar, everyone sees it.
a show you’d both love → Wabi finds a night that works, gets the tickets.
the trip everyone keeps talking about → Wabi picks the dates, builds the itinerary, books it
go start a thread with your people 👇
The video-to-motion bit of Viggle's JST-2 is what we’d try first.
It pulls 3D motion from regular phone video and fills in whatever the camera missed, like an arm out of frame, and the motion plays straight on JST-2 characters with no retargeting
🤝 Paid partnership
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model.
Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D.
Generate a 3D scene in seconds and expand it in real time. Create characters with motion built in, all through one general architecture.
Being able to change your AI model later is a choice worth protecting.
The Nebius AI Builder Program is expanding to Europe, with $10M across compute grants, capital and community.
Supporting that open ecosystem gives builders more room to choose their tools and shape how their systems grow: dev.nebius.com/builders
🤝 Paid partnership
The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs.
Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through:
- Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals
- VC connections to help turn open source projects into companies
- Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work
We’re kicking off the European expansion this week at #NVIDIAGTC Berlin with @NVIDIAAI, @Accel, and a network of European VCs.
Building AI in Europe? Details below. 👇
ChatGPT got Intelligent UI. Instinct got interactive interfaces.
 Both live inside one product while every other app and agent still answers in plain text, so OpenUI 1.0 just fixed that with an open source framework that works with any model, closed, open or self hosted.Â
is already past 6 million downloads and 10,000 GitHub stars, and burns 58% fewer output tokens than json-render and 52% fewer than A2UI.
🤝 Paid partnership
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
The next big business software company might never show you a screen.
ERP AI launched today as a platform that turns a prompt into working software: CRM, payroll, warehouse management, finance tools, internal workflows. People still get a web interface, but Proto, the agent, builds those apps and runs them through the same APIs.Â
The app becomes infrastructure and the agent becomes the user.
That is headless SaaS, and it just stopped being a theory. Pick one process you know and try it at erp.ai/
🤝 Paid partnership
For 25 years, Salesforce, SAP and enterprise software were built around one assumption: humans operate the software.
We’re changing that.
Introducing ERP•AI and Proto: business software built for agents, and an agent that operates business software.
Describe the system you need. ERP•AI builds it.
Then Proto takes over. It manages records, runs workflows and executes actions inside the software you just created.
This is Headless SaaS.
1: get ERP•AI
2: build your SaaS
3: post below
Best one wins a MacBook. First 100 decent entries get $100.
(a message from Steve Papa / founding team)
Future Stacked retweeted
This fully autonomous demo shows a Bagel Labs foundation model controlling a robot to make coffee.
We previously released WorldDiT, our lightweight architecture for robot foundation models. At the time of release, it was on the Pareto frontier for model size and performance. We have since been refining this architecture to handle longer
horizon, more useful tasks fully autonomously.
Making coffee means getting a whole sequence of actions right. Each step depends on the result of the last, so small mistakes can build up as the task continues. Getting this to work with a small model is especially challenging. This demo is an example of what the model can do today.
If you are deploying robots or have existing hardware you want to make autonomous, we would like to partner with you. bagel.com/partner