But before we dive in, I have to say: BIGSET goes far beyond a simple wrapper. The tech sets a new standard for AI architecture: → AI infers the schema automatically
→ Sub-agents work in parallel
→ Source tracking per row
→ Exports to CSV/XLSX and more! keep scrolling ↓
AUTOMATION
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BIGSET: A New Standard in AI Architecture, Beyond Simple Wrappers
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Google Launches Free Offline Speech-to-Text App for macOS/iOS Powered by Gemma 4
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SPEECH-TO-TEXT STARTUPS ARE OFFICIALLY SWEATING RIGHT NOW.
— Charly Wargnier (@DataChaz) 3 juin 2026
Google just dropped its own AI voice dictation app for macOS and iOS.
You get all the premium feats of a paid speech-to-text app without any subscription.
100% FREE. Runs offline. Powered by Gemma 4.
Download link in… pic.twitter.com/0Nv6RBNRfuSPEECH-TO-TEXT STARTUPS ARE OFFICIALLY SWEATING RIGHT NOW. Google just dropped its own AI voice dictation app for macOS and iOS. You get all the premium feats of a paid speech-to-text app without any subscription. 100% FREE. Runs offline. Powered by Gemma 4. Download link in
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Perplexity’s New Agent Architecture: Python, Sandbox, and Efficiency Gains
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Perplexity stopped treating search as one API call. Its agents now write Python that fans out queries, filters results, and joins evidence in a sandbox. On a 200+ CVE task: 100% accuracy, 85.1% fewer tokens. The SDK is private. The pattern isn't, so lets use it with Hermes?
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AI strips typing, leaving only judgment, delegation, and taste
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The popular take is that AI deletes skill, when it does the exact opposite. It strips out the typing and leaves nothing but judgment, delegation, and taste. The agent does the work. You decide if the work is right. That was always the hard part, and it still is.
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The 7 AI Agent Guardrails Every Business Needs Before Things Go Wrong
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The 7 AI Agent Guardrails Every Business Needs Before Things Go Wrong #AI #agents promise to #automate work, make decisions and transform business operations, but giving machines more #autonomy also creates new risks. From access controls and #audit trails to escalation paths
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New Codex plugins turn it into role specialists instantly
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We’re making Codex more useful for your work by expanding plugins beyond individual tools. These plugins turn Codex into a specialist for a specific role with a single install, no coding required. Codex can access 62 popular apps and 110 skills for work across sales, data
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AI reads 40k small accounts to build news page
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It is true. Which is why I bug lists if about 40,000 small accounts. “AI Community” lists are ask people with fewer than 20,000 followers. AI Newsmakers and AI Influencers are big. https://
x.com/scobleizer/lis
ts
… Then I made an AI to read them all and build a news page of the best: -
Factory’s auto model selection outpaces OpenAI and Anthropic
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Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this.
— Nathan Lands (@NathanLands) 2 juin 2026
Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time.
Now you don’t have to worry about that. https://t.co/ChWaOWnzv3Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this. Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time. Now you don’t have to worry about that.
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Taiwan powers global AI factory buildout with accelerated computing and AI agents
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Taiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. 👏
— NVIDIA (@nvidia) 2 juin 2026
From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are… pic.twitter.com/E50uZG0t3lTaiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are
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Edge machine learning adjusts production speed based on real-time quality
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Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory pic.twitter.com/QQqQl0Q6il
— Lucian Fogoros (@fogoros) 2 juin 2026Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory