This @sxsw installation used generative AI to place people inside some of history’s most defining moments. #sxsw
AI
-
AI Deepfake Project Brings Historic Speeches to Life Creatively
By
–
Flying home today after @sxsw and excited to share my new @FastCompany stories! First is a creative & unexpectedly profound AI project that uses @runwayml
, @ElevenLabs and other tech to deepfake attendees voice & likeness (with consent) into historic speeches & archival footage. -
AI Directory Adds Events Page, Physical AI Listings, and Leaderboards
By
–
Updates coming:
– Events page to keep you looped in on AI related events
– Physical AI listing – Sortable gadgets
– Various leaderboards for ranking tools
– Bug and UX fixes based on your suggestions -
MiniMax Models Now Available on Abacus ChatLLM Platform
By
–
MiniMax is coming to ChatLLM today You can now use Kimi, Opus or Flash on Abacus Claw
-
AI Studio Roadmap: Agents, Figma, GitHub and More Coming Soon
By
–
Our AI Studio vibe coding roadmap for the new few weeks: – Design mode
– Figma integration
– Google Workspace integration
– Better GitHub support
– Planning mode
– Immersive UI
– Agents
– Multiple chats per app
– Simplified deploys
– G1 support And more, should be fun : ) -
Open Source Support Continues Strong
By
–
Congrats, and great news regarding the continued support of open source 🙂
-

Claude Code Bash Alias for Fast VPS Coding Workflow
By
–

Update on my Claude Code alias I put in ~/.bashrc to code fast on VPS: c() { IS_SANDBOX=1 claude –continue –dangerously-skip-permissions "$@"; –continue makes it continue the last session in case it logs out To add it: echo 'c() { IS_SANDBOX=1 claude –continue
-

Microsoft AI Playground Launches with New Image Generation Models
By
–
http://
playground.microsoft.ai is now available in the USA and soon all over the world. Today we unveil our image generation models. Soon everyone will have access to many more models to play with in our playground. Enjoy! Wanna help build these models? JoinAITeam@microsoft.com – In -

Three AI Types Explained: From Prediction to Agentic Intelligence
By
–
Simple way to explain AI types Traditional AI = predict/classify/detect anomalies Generative AI = create content + automate knowledge work (incl. RAG) Agentic AI = agents that use tools/APIs + orchestrate tasks end-to-end We’re moving from predict → create →
-
Defining Reasoning and Pattern Matching in AI Systems
By
–
"all reasoning is pattern matching" is a useless statement if you don't define "reasoning" and "pattern matching" first. You might as well say "all information processing is information processing." With grounded definitions of both, reasoning and pattern matching are *very*