SCAIL-2
— AK (@_akhaliq) 10 juin 2026
Unifying Controlled Character Animation with End-to-end In-Context Conditioning pic.twitter.com/bD0lUcHipJ
SCAIL-2 Unification of controlled character animation with end-to-end context conditioning
SOFTWARE
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SCAIL-2: End-to-end character animation unification with context conditioning
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Shoutouts to multi-agent LLM systems, DSPy, and GRASP papers
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shoutouts:
• why multi-agent LLM systems fail? (arXiv:2503.13657) — @mertcemri @melissapan + @istoica05 @matei_zaharia @profjoeyg @adityagp & team • DSPy (arXiv:2310.03714) — @lateinteraction + @hazyresearch lab & co-authors
• GRASP (arXiv:2605.29668) — Jonas Moll, -
Gated approach to agent self-modification via forking and testing
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less novel, but still very interesting impo is the gated approach to self-modification the agent basically forks itself, propose a patch, run through multiple tests (static/sandbox/diff), and something called a binding held out gate before modificaiton lands
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PettiChat uses AI to turn pet behavior into human conversations
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PettiChat Uses #AI to Turn Pet Behavior Into Human Conversations
— Ronald van Loon (@Ronald_vanLoon) 10 juin 2026
by @IntEngineering#EmergingTech #Technology #Innovation #Tech #FutureTech pic.twitter.com/aiezKTRaSxPettiChat Uses #AI to Turn Pet Behavior Into Human Conversations
by @IntEngineering #EmergingTech #Technology #Innovation #Tech #FutureTech -
Cursor’s design mode enhances MagicPath creations
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There are also a few Cursor-only things that are really cool. For example, you can use Cursor's very own design mode to work with MagicPath creations.
— Pietro Schirano (@skirano) 10 juin 2026
It's pretty cool! pic.twitter.com/smffWLajpkThere are also a few Cursor-only things that are really cool. For example, you can use Cursor's very own design mode to work with MagicPath creations. It's pretty cool!
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Cohere Transcribe ranks #1 in enterprise speech recognition tests
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These tests measure performance in varying signal-to-noise conditions: the kinds of audio found in meeting rooms, contact centres, & phone calls. In other words, environments where enterprise speech applications actually operate. Cohere Transcribe ranked #1 across every metric:
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Transcribe surpasses IBM and NVIDIA speech models with 17.9 WER
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Transcribe achieved a 17.9 WER – nearly 2 points ahead of IBM Granite Speech and 3.6 points ahead of NVIDIA’s Parakeet. Still Apache 2.0 and runs on your laptop. Enterprise performance developer ergonomics. Full results:
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Transcribe tops OpenASR and far-field speech benchmarks
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In March, Transcribe topped the OpenASR leaderboard for general-purpose speech recognition. Today, it leads a benchmark designed to go beyond and test robustness in real-world, far-field audio environments. Give it a try and share back what you build:
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Cohere Transcribe, open-source ASR model, #1 on Hugging Face benchmark
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Cohere Transcribe, our open-source speech recognition model, is #1 on the new @huggingface Far-Field ASR benchmark.
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LangSmith Fleet template: Software Engineer coding agent from Slack, Linear, GitHub
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LangSmith Fleet template spotlight: Software Engineer Ships code from Slack, Linear, and GitHub in a sandbox A coding agent that takes issues from @Linear
, writes and verifies the code, and opens a PR. Triggered directly from Slack.