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Arsalon

Arsalon

@arsalon_ai

B2B SaaS GTM & Agentic AI Application Engineering

Katılım Mayıs 2024
100 Takip Edilen50 Takipçiler
Arsalon retweetledi
vitrupo
vitrupo@vitrupo·
Perplexity CEO Aravind Srinivas says he's building a “cognitive operating system.” Not just a browser, but an ambient AI layer that lives with you. “Answers are 4–5 searches in one. Actions are an entire browsing session in one prompt.” The goal isn't search. It's execution.
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ElevenLabs
ElevenLabs@ElevenLabs·
Introducing Eleven v3 (alpha) - the most expressive Text to Speech model ever. Supporting 70+ languages, multi-speaker dialogue, and audio tags such as [excited], [sighs], [laughing], and [whispers]. Now in public alpha and 80% off in June.
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vitrupo
vitrupo@vitrupo·
OpenAI's Greg Brockman says the AGI future looks less like a monolith - and more like a menagerie of specialized agents. Models that call other models. “We're heading to a world where the economy is fundamentally powered by AI.” The goal is to unlock 10x more activity, output, and opportunity. AI lowers the barrier to entry. Domain expertise becomes leverage.
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Andrej Karpathy
Andrej Karpathy@karpathy·
Products with extensive/rich UIs lots of sliders, switches, menus, with no scripting support, and built on opaque, custom, binary formats are ngmi in the era of heavy human+AI collaboration. If an LLM can't read the underlying representations and manipulate them and all of the related settings via scripting, then it also can't co-pilot your product with existing professionals and it doesn't allow vibe coding for the 100X more aspiring prosumers. Example high risk (binary objects/artifacts, no text DSL): every Adobe product, DAWs, CAD/3D Example medium-high risk (already partially text scriptable): Blender, Unity Example medium-low risk (mostly but not entirely text already, some automation/plugins ecosystem): Excel Example low risk (already just all text, lucky!): IDEs like VS Code, Figma, Jupyter, Obsidian, ... AIs will get better and better at human UIUX (Operator and friends), but I suspect the products that attempt to exclusively wait for this future without trying to meet the technology halfway where it is today are not going to have a good time.
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vitrupo
vitrupo@vitrupo·
Sam Altman says Codex was a “feel the AGI” moment. You give the AI agent tasks. It works in the background. You review, give feedback, repeat. Today it's an intern. Tomorrow, a full-stack engineer. “It's not evenly distributed yet, but it's happening.”
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vitrupo
vitrupo@vitrupo·
Anthropic CEO Dario Amodei says AI companies like his may need to be taxed to offset a coming employment crisis: He worries that entry-level white-collar jobs could be replaced within 1–5 years. “Even if our company stopped… all the other companies would continue. And if they didn't, China would beat us.” The bus can't be stopped, he says. But maybe it can be steered.
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Satya Nadella
Satya Nadella@satyanadella·
Today, at Build we showed you how we are building the open agentic web. It is reshaping every layer of the stack, and our goal is to help every dev build apps and agents that empower people and orgs everywhere. Here are 5 big things we announced today:
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DeepLearning.AI
DeepLearning.AI@DeepLearningAI·
New short course ➡️ Building AI Voice Agents for Production LLMs can write and reason, but getting them to talk in real time, with low latency, and in a way that actually feels human, is a different challenge. In this course, created with @LiveKitAgent and @realavatarai, you’ll learn how to build voice agents that can engage in real-time conversations—listening, reasoning, and responding with minimal latency. You’ll implement techniques like voice activity detection and turn-taking to make your agent feel responsive and human. You’ll follow the same technical architecture behind Andrew Avatar, a voice agent that replies using Andrew Ng’s voice. If you’ve been meaning to go beyond demos and build voice agents that actually work in production, this course will show you how. Taught by @dsa, Shayne Parmelee, and Nedelina Teneva. 👉 deeplearning.ai/short-courses/…
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Andrej Karpathy
Andrej Karpathy@karpathy·
A major mistake I made in my undergrad is that I focused way too much on mathematical lens of computing - computability, decidability, asymptotic complexity etc. And too little on physical lens - energy/heat of state change, data locality, parallelism, computer architecture. The former is interesting; The latter bestows power.
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Cory Dobbin
Cory Dobbin@CoryOnBrand·
🤯 I made this full commercial using only AI. No film crew. Just 4 pictures, 4o, Kling, and a little editing. Here’s how I pulled it off—and how you can too 👇 Bonus: Comment 'Prompt' and I'll DM you my private CustomGPT I used to produce the source images.
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Beff (e/acc)
Beff (e/acc)@beffjezos·
Zuck announcing MASSIVE Llama 4 open source models today 🦙🚀 American open source AI is so back 🇺🇸💪🤖
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Arsalon
Arsalon@arsalon_ai·
@Hattemakern13 thanks man. I appreciate it. it was you guys that helped me realize the true nature of this one.
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Hattemakern
Hattemakern@Hattemakern13·
@arsalon_ai Be careful to put your name behind anything. Double and triple check. Every skem you promote your reputation gets a dent.
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Hattemakern
Hattemakern@Hattemakern13·
@arsalon_ai Lol So they bought you to promote their skem in other words.
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