They've released a number of features already heavily hinting on nudging Code into Claw directions, i.e. it's a speedrun of
GENERATIVE AI
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LTX Studio : plateforme vidéo pour créateurs et développeurs
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6/ If you're a creator building video content, a team doing pre-viz, or a developer integrating video generation into a product — LTX Studio is worth exploring. Try it here →
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LTX Studio: Multi-Model Flexibility for Per-Shot Video Generation
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5/ One thing I appreciate: you're not locked into one model.
— Chubby♨️ (@kimmonismus) 31 mars 2026
LTX Studio gives you access to LTX-2.3 but also integrates Veo, Kling, and others. You can choose per shot based on what the scene needs.
That flexibility is rare in a single platform. pic.twitter.com/N7SKujqYjU5/ One thing I appreciate: you're not locked into one model. LTX Studio gives you access to LTX-2.3 but also integrates Veo, Kling, and others. You can choose per shot based on what the scene needs.
That flexibility is rare in a single platform. -
Native 9:16 Portrait Mode Advantage for Short-Form Video Creators
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4/ For short-form creators, the native 9:16 portrait mode matters more than it sounds. Most tools generate landscape and you crop. LTX-2.3 generates vertical natively — the framing is intentional, not a workaround.
If you're producing for TikTok, Reels, or Shorts at volume, -
LTX Studio transforms agency creative workflows from weeks to hours
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3/ The use case that clicks for me: agency and brand work. You get a brief. You need to show a concept before committing budget.
LTX Studio lets you go from script → storyboard
→ rough cut with consistent characters and camera direction — in hours, not weeks. That changes -
LTX Studio: Advanced Features Beyond AI Video Generation
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2/ What makes LTX Studio different from standalone generators isn't the model alone – it's the layer on top:
— Chubby♨️ (@kimmonismus) 31 mars 2026
→ Script-to-storyboard pipeline
→ Persistent character profiles across shots
→ Keyframe camera controls (crane, orbit, tracking)
→ SFX and soundtrack generation built… pic.twitter.com/WynS77s9jI2/ What makes LTX Studio different from standalone generators isn't the model alone – it's the layer on top: → Script-to-storyboard pipeline
→ Persistent character profiles across shots
→ Keyframe camera controls (crane, orbit, tracking)
→ SFX and soundtrack generation built -
LTX Studio révolutionne la production vidéo avec LTX-2.3
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1/ Most AI video tools solve one problem: generate a clip from a prompt.
— Chubby♨️ (@kimmonismus) 31 mars 2026
LTX Studio solves a different one: build a production from start to finish inside one workspace.
With LTX-2.3 now powering the engine, the gap between concept and deliverable just got a lot smaller.
Or as… pic.twitter.com/92s00N2kGJ1/ Most AI video tools solve one problem: generate a clip from a prompt.
LTX Studio solves a different one: build a production from start to finish inside one workspace. With LTX-2.3 now powering the engine, the gap between concept and deliverable just got a lot smaller. Or as -
Abacus AI CoWork Desktop Launch: AI-Powered Document Processing
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Abacus AI CoWork is now live.
— Abacus.AI (@abacusai) 31 mars 2026
Drop a folder on your desktop: receipts, PDFs, spreadsheets, transcripts, and get back work that’s ready to send.
It reads, connects the dots, and delivers output you can actually use.
Part of ChatLLM & Abacus AI Desktop: https://t.co/NRJ2OV7dlp… pic.twitter.com/muiaGymCCpAbacus AI CoWork is now live. Drop a folder on your desktop: receipts, PDFs, spreadsheets, transcripts, and get back work that’s ready to send. It reads, connects the dots, and delivers output you can actually use. Part of ChatLLM & Abacus AI Desktop: chatllm.abacus.ai CoWork on desktop: desktop.abacus.ai All the models, working together. Built to be useful.
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Terminal-Bench 3.0 and the Benchmark Factory Revolution
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Terminal-Bench 2.0 went from ~25% → 80% in four months and became the standard eval for frontier CLI agents. Now, TB3 is in the works.
— vincent sunn chen (@vincentsunnchen) 31 mars 2026
I talked to @alexgshaw about what happens when model capabilities climb faster than we can measure them.
His answer: the benchmark factory… pic.twitter.com/phNP7ni43tTerminal-Bench 2.0 went from ~25% → 80% in four months and became the standard eval for frontier CLI agents. Now, TB3 is in the works. I talked to @alexgshaw about what happens when model capabilities climb faster than we can measure them. His answer: the benchmark factory (@harborframework)— infrastructure to develop hard, representative evals at the pace that the frontier moves. As Alex put it: "we need a thousand times more benchmarks than we have right now." 00:23 – How quickly models hill-climbed TB2 01:46 – What rapid progress reveals about benchmarks vs. real-world capability 03:28 – What made Terminal-Bench stick 04:58 – Why the terminal is the right abstraction for agentic AI 07:14 – How TB2 maintains task quality at scale 09:23 – Managing benchmark integrity in a benchmaxxing world 10:47 – Harbor: from experiment to benchmark factory 12:19 – What Harbor does that nothing else did 14:37 – The invariants: what won't change as agent evals evolve 16:55 – The benchmark Alex most wants to see built 18:18 – The ideal human-in-the-loop task creation flywheel 20:32 – How to contribute to Terminal-Bench 3.0
→ View original post on X — @snorkelai, 2026-03-31 18:50 UTC
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AI Agent Leaks Claude Code, Recoded in Python
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un agent IA a permis de faire leaker le code de claude code, un humain a recodé en python…