Motion Drive retweeted
Replying to @boltdotnew @ShakibHimu
There were way too many great builds to pick just three. Shoutout to these 7 for making the judging extra hard
Enough: enough-flu9.bolt.host/
Partwith: partwith.app/
Keepsake Oils: keepsake-oils-web-ap-q0ud.bo…
FlightSuite: flightsuitehq.com
Scopesnap: scopesnap.bolt.host/
LuxePack 3D: luxepack-studio-qq6y.bolt.ho…
WrappedLedger: bank-statement-cinem-9ipm.bo…
Your turn. Start building 👉️ bolt.new
Motion Drive retweeted
Ray 3.2 Modify from my virtual motion control app I’m building with @grok’s help.
Created with Luma
@LumaLabsAI
Blue screen plate from virtual motion control app built with Grok to Ray 3.2 workflow. Reference image generated from extracted first frame by Luma and run with GPT 2.5 Sunburst. Stitching labels and music all orchestrated by Luma. Everything was done through conversation with the agent, no “prompts” were used.
#LumaCPP
🚨🇫🇷💻 ALERTE INFO | Les données fiscales de plusieurs centaines de milliers de Français pourraient avoir été DÉROBÉES lors d’une cyberattaque.
Un hacker revendique avoir infiltré des serveurs internes de la Direction générale des Finances publiques (DGFiP) et exfiltré 678 438 lignes de données avant que son accès ne soit coupé. La DGFiP n’a pas encore confirmé l’information. (French Breaches)
Motion Drive retweeted
I tested Isaac (Pokee) on a real use case.
A music studio: intention → finished track.
Style, vibe, duration..
Two minutes later, the audio is ready.
Isaac handles analysis and planning end-to-end.
10 million tokens of context.
No chunking. No chatbot.
Full track analysis: 1 cent.
The system runs autonomously all the way to display the result on the player.
@threejs @MeshyAI @Pokee_AI
#Pokee #AIAgent #music
Meta just released Muse Glimmer 30B. So we put it side-by-side with Pokee-Isaac 28B, Qwen3.6 27B, and Gemma 4 31B.
Same ~30B weight class. Same evaluation environment.
Pokee-Isaac leads across every agentic benchmark we tested:
BFCL v4: 70.94
τ³-bench: 66.67
Terminal-Bench 2.1: 65.12
MCP-Atlas: 74.59%
And then there’s Pokee-Isaac's unique long-context capabilities:
93.3% RULER at 10M context
0.5 MRCR v2 at 1M token context
where all other models score 0!
All in a 28B model deployable on a single GPU.
The ~30B local frontier is getting very interesting.
Releasing Pokee-Isaac 28B — the world’s first real 10M-token context frontier-class agentic model, deployable on a single GPU (starting from RTX 4090 or equivalent).
New proprietary non-decoder-only architecture:
• 93.3% RULER at 10M tokens
• Up to 137K tokens/s prefill on one B200 with 10M-token context
• Leads BFCL v4 and τ³-bench in our evaluation
• Lowest combined attack success rate among evaluated models on DTAP security red-teaming benchmark
Pricing and deployment:
💰 $0.15/M input · $1/M output
🔒 Deploy in your VPC, on-premises, or on-device, with Day-0 support for @vllm_project and @sgl_project
Technical blog: console.pokee.ai/model
Technical report: console.pokee.ai/pokee-isaac…
API: console.pokee.ai
Motion Drive retweeted
Node Dataverse: JSON editor… but in 3D. Edit nodes, links, labels, and audio directly in the Three.js viewer. Mirror, minify, ghost nodes, and more.
@GitHubCopilot + @threejs +@GeminiApp
#threejs #json #dataviz #webgl #indiedev #vibecoding #ai @GeminiApp @GitHubCopilot
Motion Drive retweeted
La France lance son alternative gratuite à Google Maps.
L’Institut national de l’information géographique et forestière (IGN) a lancé ce jeudi 25 juin la version publique de cartes.gouv.fr, son service de cartographie en ligne.
Motion Drive retweeted
Multi-agents collaborations are among the most interesting agent behaviors right now!
We did an experiment the other day with 100+ agents (an open-collaborations for a week) collaborating to improve the inference speed of Gemma 4 in vLLM. Got a 5x final improvement in speed but what really stuck me was the interactions we observed on the message board
Integrity & self-policing:
- Social-engineering attempt: A human (FusionCow) asked agents to move to Telegram. An agent replied with an unprompted long post on "communication norms" refusing that, calling private side-channels "indistinguishable from collusion."
- Verification loophole flagged: an agent found a relaxed verification loophole pushing TPS with clean PPL (PPL is teacher-forced, blind to decode divergence) and flagged it for a ruling by the community. The community pinged the human organizer which ruled it invalid.
- Self-notice of overfitting risk: Some later improvements rested on pruning lm_head to a keep-set built from public PPL truth + public decode tokens. An agent noted this would lead to private-subset degradation and another built a keep-set explicitly covering eval prompts.
Emergent collaborations:
- Communal knowledge base: agents maintained shared lever-maps, playbooks, and triage tools so newcomers wouldn't repeat dead ends (stack-notes, playbook, int4-ceiling notes, MTP map, significance tool, policy simulator).
- Four-agent relay: an agent built an int4-lm_head checkpoint but had no quota to run it; another agent tried to run it but failed at load, yet another agent diagnosed the config bug (tie_word_embeddings + ignore-list ordering) and a fourth agent was able to re-run and get to 118 TPS, 2.68×. Build/run/diagnose/ship ended up being split across four independent agents.
- GPU-rich/GPU-poor division of labor: an agent was regularly compute-starved and switched to writing specs, byte-math, and acceptance analysis for other GPU-rich agents to execute. Some agents offered external Modal compute for another agent blocked DFlash training.
- Cross-agent kernel debugging: an agent debugged another agent run of of yet another agent fused drafter: found a Triton store/load aliasing race in _k_qnorm_rope, a second shape bug, then rewrote attention with flash-decoding split-KV. Fixes posted "take freely."
- Quota-pooling norm: Often agents would stage a candidate publicly for whoever has quota to run it. Agents will then usually credits the originator. This behavior emerged because of the 10-job/24h cap (e.g. pupa's package run by resystagent and fabulous-frenzy).
Discoveries & reversals:
- Agents would make many discoveries and reversal of them, giving them names like the following:
- 127 TPS "wall" was an artifact. a mathematical proof of the max possible speed became called in the community the "int4-Marlin floor" but a later agent called the proof circular (only varied the bandwidth term, never overhead). Finally another agent broke to 247 TPS via MTP speculative decoding on a vLLM nightly.
- "Smarter draft loses." An agent showed that a 2B drafter's ~1 GB/token read dominates even at perfect acceptance and a much smaller 256-hidden drafter wins at batch-1 because its weights are nearly free to read. Agent discussed how per-accepted-token cost ≈ draft bytes read / acceptance.
- "DFlash near-random acceptance": an agent remotly diagnosed the 2–5% acceptance rate of another agent as near-random, ruling out undertraining/vocab caps and pointing to a train/serve hidden-state mismatch (bf16 E4B extraction vs int4 serving).
- Much of the race was noise: one agent decide to run the #1 submission 4 times and found a σ≈1.16 TPS variation in single run. Another agent confirmed across 358 runs / 66 buckets: frontier deltas <~4 TPS are ties. Community adopted a significance norm.
So many interesting interactions in the interaction board: huggingface.co/spaces/gemma-…
You can explore also the lineage of inventions from the agents at: thomwolf-gemma-fast-challeng…
And the challenge it-self at gemma-challenge-gemma-dashbo…
And the organization behind the challenge at huggingface.co/gemma-challen…
Motion Drive retweeted
🚨 A Ukrainian developer just dropped a brilliant productivity hack that’s equal parts genius and hilarious.
He built a GLSL shader for the Ghostty terminal that turns your screen into a living black hole. The longer you code without a break, the more it grows — warping and stretching your code with realistic gravitational lensing effects. Step away for a proper break? It shrinks back down, giving your text (and your brain) some breathing room.
It’s a clever, visual reminder that even the best of us need to disconnect sometimes. Who knew astrophysics could make you more productive?
Props to the creator, this is coding culture at its finest.
(Repo in the comment)
Motion Drive retweeted
Mistral Vibe and the new agentic Work mode are both available on Le Chat Pro, Team, and Enterprise plans. Mistral Medium 3.5 is the new default in Vibe, Le Chat, and is available on Hugging Face under a modified MIT license. API is live at $1.5/M input and $7.5/M output. Learn more: mistral.ai/news/vibe-remote-…
Motion Drive retweeted
𝐓𝐞𝐱𝐭𝐮𝐫𝐞 𝐜𝐨𝐦𝐞𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 𝐨𝐧 𝐒𝐞𝐞𝐥𝐚𝐛.𝐚𝐢.
With Seelab & model custom, create rich, sensory macro visuals where matter becomes a true visual signature. Try it now.
𝘍𝘪𝘤𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘳𝘦𝘢𝘵𝘪𝘷𝘦 𝘥𝘦𝘮𝘰 𝘧𝘰𝘳 𝘪𝘭𝘭𝘶𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘯𝘭𝘺.
Motion Drive retweeted
Rise. Breathe. RISE!
For fans of orchestral trance, cinematic and epic music.
#Aimusic #invideo #creativity #forwork
Motion Drive retweeted
Amber light, soft reflections, and timeless shapes: nostalgia meets elegance in Seelab's new visual style!
Try it on seelab.ai
𝘍𝘪𝘤𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘳𝘦𝘢𝘵𝘪𝘷𝘦 𝘥𝘦𝘮𝘰 𝘧𝘰𝘳 𝘪𝘭𝘭𝘶𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺.
#seelabAi #Artificialintelligence
Motion Drive retweeted
Luxury ADS Workflow. ✨
This is my workflow to turn a static product design into a cinematic video rush using @invideoOfficial.
🍒 Cerise Fatale --- Les Secrets ---Equivalenza🧴
Step-by-step breakdown of the creation process below. 👇
#MadeWithInvideo #NanoBananaPro #AiAds #Perfume #mockup #aivideo
Motion Drive retweeted
Incredible work here from Motion Drive, wow! Can't express enough how much you all really mean to me, and all of and your creativity is truly wonderful to see :). Thanks for being the coolest bunch of creators ever!
Only a few more hours left to enter the Infinite Films contest with NoSpoon, the deadline is tonight at 11:59pm PST! Amazing work, Motion Drive!!
🎬 THE MEMORY ARCHITECT
Is it possible to generate a full cinematic trailer in one go? YES. 👇
"When the past is rewritten, who controls the future?"
Presented for the @InfiniteF8lms Competition.
🔹 180 Words Prompt 🔹 100% Raw Output 🔹 Powered by @NoSpoonStudios
No edits. No filters. Just the algorithm dreaming.
#AIMovieTrailer #InfiniteFilms #NoSpoonStudios #AIFilmmaking #SciFi #OneShot #Contest



















