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devsDefaulter retweeted
I was curious what AI companies are actually hiring for right now. So instead of manually opening 20 job listings, I gave Cursor access to the job market through Metix. It pulled 8 recent AI/ML postings and analyzed them. > Python was everywhere. > MLOps was everywhere. > RAG + agents showed up constantly. > Kubernetes has its fair share too. AI agents doing research like this is kinda crazy.
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devsDefaulter retweeted
POV: life when your AI agent has its own identity and can finally do everything for you
Introducing AgentID by @agentmail, "Sign in with Google" for AI Agents Millions of agents already use AgentMail. AgentID lets them sign in to your app. Integrate with the prompt below, reply with a screenshot, and we'll give you 3 months free of any AgentMail plan.
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devsDefaulter retweeted
I think the next big shift in AI is less about what models know and more about how well they understand us. Tone, expressions, pauses, context real conversations are so much more than words.
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts. By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words. Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release. Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about: - A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them. - A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend. - A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations - Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters. We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’. We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
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devsDefaulter retweeted
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devsDefaulter retweeted
The interesting AI race might not be: “Who has the smartest model?” It might eventually be: “Who understands humans the best?” Because real conversations have never been just about words. It’s tone, expressions, pauses, reactions, context - all the little things we naturally pick up on without even thinking about it. That’s where AI getting more human in how it interacts could get really interesting.
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts. By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words. Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release. Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about: - A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them. - A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend. - A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations - Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters. We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’. We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
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devsDefaulter retweeted
Tutti went from 159 registered creators in April to 14,269 by September 🔥 That growth is insane. And the fact that $81K+ was paid out to creators in September alone makes this even more interesting. I’ve personally made $42 just posting for fun on X with Tutti. The creator economy is getting real 👀
九月 @tuttihq 的数据,截到 9 月 30 日: ▸ 累计注册达人 14,269 个,九月新增 3,528。四月的时候总共才 159 ▸ 真正发了帖的 1,431 位,一共 61,601 条,分在 46 场活动里 ▸ 九月达人奖励 $81,480,1,545 个人拿到。本月单人最高 $2,653,累计拿得最多的那位已经 $11,197 ▸ 有效曝光 860 万 ▸ 一个月上了 7 次 𝕏 热榜 ▸ 达人的粉丝里美国占 25%,抽样到的粉丝分布在 189 个国家和地区 十月接着冲。。。
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devsDefaulter retweeted
an AI avatar just roasted me so brutally I had to question my life choices 😭 I told Griffin: “Don’t hold back” Yeah… I instantly regretted that 💀 What’s actually crazy is how real the interaction felt. It could see me, hear me, respond instantly, and react to what I was saying in real time. AI avatars are getting WAY too good. @tavus @hassaanraza tavus.io/griffin
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
Community note
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard. cellcog.ai/blog/tavus-gri… research.nvidia.com/labs/amri/proj… tech-ish.com/2026/10/02/tav…
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devsDefaulter retweeted
POV: you’re in sales and AI just learned your entire job 💀
In the last few years the effort to build a business has reduced dramatically You can build one in a weekend now if you really lock in But the effort to get customers has become equally hard, if not more You need to find leads, send emails, make calls, follow up, and figure out who is worth the time Today we are solving that with Runable Cold Outreach - It assigns itself a phone number and business email - Finds leads that fit your business - It handles calls, emails, and follow-ups, qualifies who’s interested, and converts them All of it, without you ever having to check or give any instructions It works around the clock, all year We’ve spent a lot of time helping people get their businesses off the ground. I’m excited about this next part - helping them find their customers
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devsDefaulter retweeted
Vibe coders after finding out they can vibe deploy now :
We just raised an $8M seed round to kill AWS, GCP, and Azure. Introducing instacloud.com, the agent-native serverless cloud. Your team is shipping code like never before. But you're getting caught up in manual, tedious DevOps work trying to deploy it. InstaCloud provides the serverless compute that lets your services autoscale, with all the infrastructure managed for you. Agents branch into complete replica environments when working, keeping prod safe and iteration speed high. And of course, it all works seamlessly with agents through MCP/CLI. Get off the traditional, legacy cloud. Start deploying your services on InstaCloud today.
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devsDefaulter retweeted
Having to explain the same plan in five different places is a UX problem ! Vaultfy is taking a swing at it: one conversation with Alfred for private flights, dinner and experiences. The app flow is the bit to watch here.
The world opens differently when you know who to call. Now you do. Introducing Vaultfy. Membership by invitation. Request access: vaultfyapp.com/
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devsDefaulter retweeted
Getting an idea is easy. Shipping it is the part where everyone quits. Siren rendered this video.
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devsDefaulter retweeted
Your website might be all the context AI needs 👀 You give Pexo ONE website. It somehow understands the brand, the vibe, the story behind the product and turns all of that into a visual experience. No moodboards. No 47-slide brief. No explaining your brand for 30 minutes. Just the website → and Pexo cooks 🔥
Hey @supermemory , we made this for you. Your website was the only input. Pexo picked up your brand style and turned what you’re building into a visual story.Scattered context, brought together by a memory layer for AI. Does this feel like Supermemory to you? #MadeWithPexo
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devsDefaulter retweeted
AI just made product launch videos look stupidly easy 🔥 From idea → polished launch video in one workflow.
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devsDefaulter retweeted
Marketing without leaving the editor !!! Siren plugs into Cursor and Claude over MCP: say "post this" and you get the video, the caption and the post. Siren made this one from a single prompt. @mysirenai
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devsDefaulter retweeted
Stop babysitting your AI coding agents. That’s probably my biggest takeaway from testing Cline Desktop. I got early access to Cline Desktop, the open-source app for open-weight models, directly from the @cline team and have been putting it through its paces ahead of launch. A few things I’ve been playing with: >Multiple agent sessions running in parallel >Scheduled one-time or recurring agent tasks >Model/provider flexibility instead of being locked into one ecosystem >Importing existing workflows from Codex and Claude Code >Checkpoints + session forking for safer experimentation And honestly, having all of this in one place changes how you think about working with AI agents. Instead of constantly switching between tools and manually kicking off every task, you can actually build a workflow around your agents. The interesting part is that Cline isn't just giving you an agent to interact with. It gives you a place to run, manage, automate and customize agent workflows , while keeping the experience open and flexible. That distinction is actually pretty interesting.
Introducing Cline Desktop - a native interface for working with open weights models. Use with ClinePass and all our free models like DeepSeek-V4.1-Flash, Musespark-1.3, or BYOK with any provider!
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devsDefaulter retweeted
This is the kind of AI update I actually want to play with. Bolt Forge gives you access to GLM 5.3 Flash, Kimi K3 and DeepSeek v4 Pro, plus up to 50× more usage. I can see myself starting with a ridiculous idea, trying a few versions, switching models, breaking everything and starting again without constantly watching the usage meter. Forge is experimental, and you can opt in to helping train open models with your builds. Free on Pro until Oct 14, or $9/mo with Bolt Lite. The research preview runs Sept 14–Oct 14. Time to build some nonsense👀
Introducing Bolt Forge. Free until Oct 14th: - Up to 50x more usage - The new frontier: GLM, DeepSeek, Kimi - Zero usage charges Live now in your model picker on bolt.new And one more thing... 👇
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🪷 Gita for the Grind — Day 2 Bhagavad Gita 4.7 Meaning: Whenever righteousness declines and wrong increases, I manifest to restore balance. In real life: When things go wrong, don't just complain. Step up. Take action. Be the change. Ancient wisdom × Modern problems. 🪷
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🪷 Gita for the Grind — Day 1 Bhagavad Gita 2.47 Meaning: Focus on your actions, not the outcome. In real life: You control your effort, not promotions, results or others' opinions. Do your work. Let go of the result. Ancient wisdom × Modern problems. 🪷
🪷 Gita for the Grind — Day 1 Starting today, I’ll share 1 Bhagavad Gita shlok every day. Ancient wisdom × Modern problems. Shlok → Meaning → Real-life & work lesson. No complications, Just practical lessons for life, career & everyday struggles. 1 shlok a day 365 lessons.
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