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Based in India
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→ caveman: github.com/JuliusBrussee/cav…
→ humanizer: github.com/blader/humanizer
→ social-media-skills: github.com/blacktwist/social…
→ claude-ads: github.com/AgriciDaniel/clau…
→ claude-seo: github.com/AgriciDaniel/clau…
→ ai-second-brain: github.com/charlie947/ai-sec…
→ frontend-design: github.com/anthropics/claude…
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There are 7 skills worth installing in Claude right now.
Skills are basically shortcuts. You type one short command, and Claude runs a whole workflow for you. 👇
→ caveman: makes Claude talk in short, blunt lines so you spend fewer tokens
→ humanizer: cleans up the stuff that makes writing sound like AI
→ social-media-skills: helps you with hooks, posts and carousels
→ claude-ads: checks your Meta, Google and TikTok ads for mistakes
→ claude-seo: SEO that's built for AI search, not just Google
→ ai-second-brain: turns your old Claude and ChatGPT chats into a personal wiki
→ frontend-design: stops Claude from giving you the same boring UI every time
Save this one for later.
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Poonam Soni retweeted
Excited to announce Volantis's $88M Series A.
We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory.
By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot.
Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours.
More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more.
Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more.
We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: volantissemi.ai/news-insight…
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48% of people on a live video call couldn't tell it was an AI.
That's from Tavus's own test of Griffin, which they call the first model to pass the video Turing test. 👇
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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Everyone wants AI to replace lawyers.
These guys want to replace the law firm model.
Arceus is not an AI tool. It's a law firm built around AI. 👇
Here's how it works:
→ Connect Slack
→ Send a contract or legal request
→ See the price upfront and approve it
→ A licensed attorney handles it from start to finish
→ Get the reviewed or redlined contract back in hours
I’m excited to announce that @arceuslegal is launching with $17M in funding, led by @greycroftvc, with participation from @craft_ventures, @spc, and others.
As a founder, I always hated how helpless I felt working with law firms.
I went through four or five different firms and somehow the experience was always the same.
I’d be waiting on something important to our business with no idea when I’d hear back. I’d have to re-explain our business over and over again. And I dreaded jumping on calls because I knew every minute was costing me money.
We started Arceus because we believe every business deserves a better law firm.
One that moves faster, costs less, and puts the client first.
And we’re just getting started. ↓
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Poonam Soni retweeted
🚨 You need to see this.
Google just launched Advent of Agents Season 3.
Now you can master shipping production-ready agents in 31 days for free.
Here is everything you need to know:
→ It runs daily through October, one real production question per day
→ Every day comes with a short practitioner video and code you can run
→ Each day stands on its own, so you can start on any day
What the 31 days cover:
→ Days 1–4: Foundations. The agent lifecycle, and why securing agents isn't like securing chatbots or APIs
→ Days 5–9: Identity and access. A cryptographic identity for every agent, acting on behalf of users, least-privilege tool access
→ Days 10–16: Runtime guardrails. Blocking prompt injection, stopping PII leaks, sandboxing agent-generated code, verifying third-party MCP servers
→ Days 17–21: Fleet management. Terraform, CI/CD, and one agent registry across projects and clouds
→ Days 22–27: Observability and containment. Tracing agent behavior, threat detection, and an enterprise kill switch
→ Days 28–31: Day 2 operations. Cost circuit breakers, model routing, and continuous evaluation
If you've been meaning to actually understand how agents work, not just use them, this is a straightforward way in.
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