Cartesia has launched Sonic 3.5 and Ink 2, two models designed to function as a single real-time voice stack, with transcription on one side and text-to-speech on the other. > Ink 2 ranks first in accuracy on the leaderboard
GENERATIVE AI
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Host Your Own Local LLM on Abacus AI SuperComputer
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🚨 Host Your Own Local LLM On The Abacus AI SuperComputer
— Abacus.AI (@abacusai) 16 juin 2026
Stop being sad about Fable and control your destiny by hosting your own LLM
– host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents
Use SOTA models like GPT… pic.twitter.com/Etj52juJ4vHost Your Own Local LLM On The Abacus AI SuperComputer Stop being sad about Fable and control your destiny by hosting your own LLM – host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents Use SOTA models like GPT -
AI redefines ‘skills’ as teachable playbook for personalization
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The world of AI has secretly stolen a word from your CV – 'skills.' Only now it means something you can actually teach your AI.
The AI that knows your playbook is worth ten that don't. But it doesn't learn on its own. You have to show it how you think, how you write, how you -
Diversify models to avoid single dependency
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That a model collapses due to a government order in 72 hours is not the problem. The problem is relying on a single model. → 200+ models, one endpoint → failover if one goes down → you control the graph, no black box. Diversifying is
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AI quality isn’t measured by token count, says Databricks scientist
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"Just trying to use the most AI is like maximizing the number of lines of code you write. That's not a good measure of software quality, nor is the number of tokens." Databricks Chief AI Scientist @jefrankle kicked off tonight's DevConnect Meetup at #DataAISummit 2026 by
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GLM is good but inconsistent and requires more steering than Kimi K2.7
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GLM is really good when it gets it right, but it is inconsistent out of the box and requires more steering in my testing than Kimi K2.7
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Local LLMs Web Access with SearXNG, Firecrawl, Camofox
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PROP TIP Running LLMs locally? Give them web access My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this
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Codex talks to Fable 5 via plugin and comparison with claude-channel-cli
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Here's Codex talking to Fable 5 w/ my plugin.
— Aaron Ng (@localghost) 15 juin 2026
Unlike calling the API, `claude-channel-cli` talks to the same full Claude Code harness as you. This means you can talk to either AI & they'll guide each other naturally with shared memories, decisions, and research. pic.twitter.com/GZAsdqnd5fHere is Codex talking to Fable 5 with my plugin. Unlike the API call, `claude-channel-cli` talks to the same full harness of Claude Code as you. This means you can talk to either AI and they will guide each other naturally with
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Security bug discovery threatens model’s code writing capability
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We won't know until/unless we hear what the bug actually was If it really was "asking Fable to find security bugs in code found security bugs" then it can't be fixed without making the model useless for writing any code at all, which is one of the most important use-cases
