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Showing 31 posts Β· last 14 days Β· by score
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jgebbia
@jgebbia
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May 13, 2026
72d ago
πŸ†”80288903

https://t.co/VHGhwFSH9I

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code
@code
πŸ“…
May 13, 2026
72d ago
πŸ†”60928247

πŸŽ₯ Join the our Release Livestream tomorrow, May 14 at 9 AM PT to see the team demo some of the latest features live! https://t.co/mZjRI1kOT0 Happy coding! πŸ’™

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johnowhitaker
@johnowhitaker
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May 13, 2026
72d ago
πŸ†”61361812

The little "weeds" around everywhere are bringing me lots of joy at the moment, especially the spring-loaded seed pods of the bittercress and sorrel ☘️🌸 https://t.co/neGZ8rOg52

@johnowhitaker β€’ Wed May 13 16:36

Time-lapse of a Scarlet Pimpernel flower opening - makes me happy to look over from my desk and see these little flowers doing their thing πŸ˜€πŸ˜€ https://t.co/uUEuvxvhok

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PyTorch
@PyTorch
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May 13, 2026
72d ago
πŸ†”80383907

Driving optimized nuclear reactor design with AI Physics and Digital Twins The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. However, validating new designs presents significant challenges including expense, time constraints, and inherent complexities of physical experiments and simulations. NVIDIA CUDA-X libraries, the PhysicsNeMo AI Physics framework, and the Omniverse libraries help developers in the nuclear industry address these challenges by delivering GPU-accelerated, AI-augmented simulation solutions for real-time digital twins. Read the full post: https://t.co/KKDn0O3LHj

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SpaceX
@SpaceX
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May 13, 2026
72d ago
πŸ†”74118911

Less than one hour until Falcon 9’s launch of Dragon’s 34th Commercial Resupply Services mission to the @Space_Station. Teams continue to monitor weather, which is currently 10% favorable for liftoff at 6:50 p.m. ET β†’ https://t.co/c8cVFXwJY0 https://t.co/BA3CXsAo7b

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NousResearch
@NousResearch
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May 13, 2026
72d ago
πŸ†”68164018

The Hermes Agent Creative Hackathon sponsored by @Kimi_Moonshot has ended! Finalists were selected by Nous and Kimi staff out of 227 submissions on creativity, usefulness and presentation. We were absolutely blown away by the creativity of the things you all built using Hermes. It was tough choosing winners, huge thank you to all who participated! Winners below:

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NousResearch
@NousResearch
πŸ“…
May 13, 2026
72d ago
πŸ†”45899026

Second place: Ambien by @ya1sec A daydreaming agent running inside Hermes Agent that samples a curated Obsidian corpus for resonant idea collisions and synthesizes them into published essays, leveraging the harness for iterative voice calibration that keeps the prose from reading like an LLM. https://t.co/NqjjPuGHAg

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NousResearch
@NousResearch
πŸ“…
May 13, 2026
72d ago
πŸ†”39993415

Third place: Hermes Agent Teletype emulator by @hughpyle A 1960s Teletype ASR33 brought back online by Hermes Agent running on a Raspberry Pi behind it, with a plugin emulating the machine's Ambisonic-recorded hum and keystrokes, collapsing the telegraph age into the agent age. https://t.co/PfR5LAMs6V

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NousResearch
@NousResearch
πŸ“…
May 13, 2026
72d ago
πŸ†”09571175

Kimi track - First place: JumpFoundry by @evvaaannnn A Hermes Agent plugin where the designer hand-draws one or two glyphs and Hermes Agent generates the rest, acting as coordinator that routes per-glyph revisions through parallel model calls before exporting an editable TTF. https://t.co/SYapiI8fwP

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NousResearch
@NousResearch
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May 13, 2026
72d ago
πŸ†”90153218

Kimi track - Second place: sacred_not_secret by @macbethAI An audio-reactive architectural wireframing piece where Hermes Agent sourced and optimized the temple STLs and built the custom GLSL control app with sliders and a waveform timeline. https://t.co/vAyIzufuqV https://t.co/yLBF0h04sl

@macbethAI β€’ Mon May 04 05:36

sacred_not_secret My entry for the HERMES Agent Creative Hackathon by @NousResearch A thread⏬ https://t.co/qVoYx0ZI9q

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NousResearch
@NousResearch
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May 13, 2026
72d ago
πŸ†”56173231

Kimi track - Third place: Permanence by @MachYear A personal taste-keeping workspace where Hermes Agent synthesizes your references with you and reshapes its own interface to match your aesthetics. https://t.co/vKMYA1qb43 https://t.co/TinkL3i63S

@MachYear β€’ Mon May 04 07:13

Introducing: Permanence A place for you to store your taste. Powered by @NousResearch Hermes Agent + Kimi. Hermes can talk to you about your sources, synthesize references with you, and even customize the interface to fit your aesthetics. More details coming soon 🧡 https://t.c

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lydiahallie
@lydiahallie
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May 13, 2026
72d ago
πŸ†”34616119

To add some clarity: you don't pay extra. It's the same subscription, same price per month. What's new our sub now covers two separate pools: Β· Interactive β†’ sub limits, unchanged Β· Programmatic β†’ new $20–$200 included(!!) credit, metered at API rates https://t.co/knrcT1P5Of

@ β€’

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HomerPavlos
@HomerPavlos
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May 13, 2026
72d ago
πŸ†”30503486

Here I am, reading Homer’s Odyssey directly from the Greek text and thinking about how much Christopher Nolan disrespected us. Don’t pay for the movie. Resist this slowly dying agenda that is rotting our societies. Hollywood is dead. https://t.co/f9hLbUTAbi

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Scobleizer
@Scobleizer
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May 13, 2026
72d ago
πŸ†”77451302

Langship is not @langchain. It's an open-source alternative TO langchain's deployment + governance stack. Self-hostable. apache 2.0. There's a full manifesto on the site. someone really said hold my beer #langship #langchain https://t.co/BrMsdvSMav

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gerardsans
@gerardsans
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May 09, 2026
76d ago
πŸ†”52359066

Reaching 2M impressions on X! Thanks everyone for keeping it real against AI hype! Last 3 months have been a blast. Answering rumours: β€’ No, I’m not an AI. β€’ Realist: neither pro nor anti. β€’ AI research: mention me on any paper for my analysis Trailblazing the manifold. https://t.co/aiRUvyn3ya

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code
@code
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May 13, 2026
72d ago
πŸ†”67064613

πŸͺ„ Your agent experience, refined. The latest @code release brings better BYOK visibility and control, integrated browser improvements, and more. It also introduces the new Agents window (preview), making it easier to explore, iterate on, and review tasks across multiple projects.

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code
@code
πŸ“…
May 13, 2026
72d ago
πŸ†”61106452

More updates in @code: Markdown preview for diffs, terminal risk assessment and output compression, inline plan editing for Claude and Copilot CLI, and more. πŸ”— Explore the weekly updates: https://t.co/Jiq3E46KIZ https://t.co/lUOVRdH5HX

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NVIDIA_AI_PC
@NVIDIA_AI_PC
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May 13, 2026
72d ago
πŸ†”93774276

Run powerful, self-improving AI agents from your desk. @NousResearch's Hermes Agent brings reliable, self-evolving agentic AI to NVIDIA RTX PCs and DGX Spark. Get started. πŸ‘‡ https://t.co/BBJNCnBzsu

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matthew_d_white
@matthew_d_white
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May 13, 2026
72d ago
πŸ†”24798867

Just spent 8 days across Beijing, Shanghai, and Hangzhou meeting with the labs actually building Chinese AI. 5 major open model releases dropped during the week I was there. What I came away with isn't what the policy debate would have you expect. 🧡 https://t.co/RSHJ0HQYFI https://t.co/Au8DWfMuBE

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_akhaliq
@_akhaliq
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May 13, 2026
72d ago
πŸ†”44180525

CausalCine Real-Time Autoregressive Generation for Multi-Shot Video Narratives https://t.co/WjFiFd6Y8J

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_akhaliq
@_akhaliq
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May 13, 2026
72d ago
πŸ†”22256481

paper: https://t.co/EigvXfnSCp

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_akhaliq
@_akhaliq
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May 13, 2026
72d ago
πŸ†”32798623

Apple presents Unmasking On-Policy Distillation Where It Helps, Where It Hurts, and Why https://t.co/wKR7JR705R

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_akhaliq
@_akhaliq
πŸ“…
May 13, 2026
72d ago
πŸ†”99708514

paper: https://t.co/I8ccIFfep3

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steipete
@steipete
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May 13, 2026
72d ago
πŸ†”18756012

Streaming an Android phone to my Mac in a data center via Tailscale + https://t.co/iT7Eq2zYG7 and my claw controls it via https://t.co/2cXk37Lxt7. Now my claw can order me an Uber. https://t.co/q3xXgy2bTY

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jeffboudier
@jeffboudier
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May 13, 2026
72d ago
πŸ†”82274581

Fun Fact - Over 50% of French enterprises (CAC40) are on @huggingface To secure AI usage in organizations: https://t.co/XH3XKkeslk https://t.co/YATU517Gmt

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rasbt
@rasbt
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May 13, 2026
72d ago
πŸ†”12424586

@MLCatttt I usually look at the config.json and eyeball it based on other architectures (that I already have in the https://t.co/T63kGUgsrp)

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Sanemavcil
@Sanemavcil
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May 13, 2026
72d ago
πŸ†”85809404

AI video creation is evolving FAST πŸš€ Just saw this workflow using Agent One inside InVideo, and honestly, the cinematic consistency is impressive. You describe the idea, and AI helps with: β€’ Scenes β€’ Camera angles β€’ Editing β€’ Workflow consistency This space is moving incredibly fast right now πŸ‘€ Excited to see where AI agents + creative workflows will go next. #AI #AIVideo #AItools #GenerativeAI #ContentCreation #AIagents #InVideo

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NielsRogge
@NielsRogge
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May 13, 2026
72d ago
πŸ†”09240089

Very cool blog post by @mishig25 on the state of local agents The @ArtificialAnlys intelligence index increases faster than Moore's Law! https://t.co/yAHSUcOUl5

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johnowhitaker
@johnowhitaker
πŸ“…
May 13, 2026
72d ago
πŸ†”56134774

Time-lapse of a Scarlet Pimpernel flower opening - makes me happy to look over from my desk and see these little flowers doing their thing πŸ˜€πŸ˜€ https://t.co/uUEuvxvhok

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johnowhitaker
@johnowhitaker
πŸ“…
May 13, 2026
72d ago
πŸ†”14859526

Here, a neural cellular automata has learned to guess what is being (badly) drawn - watch how the correct consensus prediction emerges over time. Each pixel 'cell' can only see its neighbors, and each runs the same simple NN. https://t.co/OYx2MElsiE

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NousResearch
@NousResearch
πŸ“…
May 13, 2026
72d ago
πŸ†”36892054

Today we release Token Superposition Training (TST), a modification to the standard LLM pretraining loop that produces a 2-3Γ— wall-clock speedup at matched FLOPs without changing the model architecture, optimizer, tokenizer, or training data. During the first third of training, the model reads and predicts contiguous bags of tokens, averaging their embeddings on the input side and predicting the next bag with a modified cross-entropy on the output side. For the remainder of the run, it trains normally on next-token prediction. The inference-time model is identical to one produced by conventional pretraining. Validated at 270M, 600M, and 3B dense scales, and at 10B-A1B MoE. The work on TST was led by @bloc97_, @gigant_theo, and @theemozilla.

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