Disclaimer: The information provided is NOT financial advice. I am not a financial adviser, accountant or the like. Information provided is my personal opinion.
California, USA
Joined January 2014
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Glad you asked , it’s a product called “Aether” I personally have been developing for a while now and is releasing soon to the public . We have charting with exposure overlays and indicators, alert setting , an insider tracker, an earnings tab, a multi map view convenient for trading indexes, flow, gamma, vanna, delta, charm (as heatmaps for weekly or grid for all expiries , as well as classic view: a more traditional way to view Greeks) , news, multiple scanners, a section dedicated to small caps , a learn tab to help Aether users know how to make the most of the product and a setup scanner / live trader are also in the works but I’ll say those last two are in beta. I’m very excited to release it but I’m trying to make it as good as it can be pre-release instead of rushing the release and having users run into any bugs or inefficiencies. It’s going to change lives for certain and I’ll post it here first. I think people will be real happy with the price as well. It won’t be long.
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Quality! retweeted
Meet Nex-N2.6, our latest multimodal agentic model supporting text, image, and video inputs.
Open-sourced by Shanghai Innovation Institute, the model has performed strong benchmark results:
⚡Compared with Nex-N2.5-Pro, the reasoning repetition rate falls from 16.0% to 1.6%, while the overall non-repetition rate rises from 91.0% to 97.8%
⚡Achieved 100% valid tool selection rate across 956 tested contexts, on par with GPT-6-Sol
⚡Scored 83.0 on OSWorld and 84.1 on Terminal-Bench 2.1, ahead of DeepSeek-V4.1-Flash at 71.7 and 82.7
Nex-N2.6 is built with a stronger foundation to navigate interfaces, use tools, and complete lengthy tasks without losing its place.
Try now 👇
⭐GitHub: github.com/sii-nex/Nex-N2.6
🤗HuggingFace: huggingface.co/nex-agi/Nex-N…
🔗OpenRouter API: openrouter.ai/nex-agi/nex-n2…
🔗MOSS API: platform.moss.cn/docs/models…
discord.gg/nV5hNQaqk if anyone wants a glimpse of what I’ve been building with aether I have a channel in this free Discord …
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Quality! retweeted
We've given all Pro, Max, Ultra, and Team users one free full reset, across all models and limits. Use it anytime before December 10 at 2:00PM PT.
We recently fixed a few small issues that used more limits than intended, and the Fable resets didn't do much for those of you who'd already hit your weekly limits for all models. While these issues didn't affect everyone, we want to make up for the trouble.
You'll find it in Settings > Usage, or at clau.de/reset.
Quality! retweeted
In 2015, I built an AI that detects early cancer.
It’s still running across hundreds of hospitals in the US today.
It was the most fulfilling work of my life, and I was building in AI years before everyone called it “AI”.
Building in AI then was a dream.
Now It feels like we’ve taken a turn for the worse.
It started when i was in undergrad.
I built my first company: AI models that made the political data transparent to voters.
At 21, I was offered six figures for it, but the buyers wanted to use it for reasons I couldn't ethically support.
So we turned down the offer and shut down the company instead.
In 2014, I moved into deep learning research on language models, for the Intelligence Community and Goldman Sachs.
Then HCA Healthcare came to us.
They put me in a competition against 10 people from IBM Watson. It was just me and the tools I’d built.
Our job was to build an AI model that can catch the cancer that slips through the cracks in hospitals.
It was the most intense 30 days of my life. Multiple all nighters.
My models won. That turned into a $5M deal, and later its own company, Azra AI.
Then the world caught on.
ChatGPT and Claude arrived, and AI costs exploded.
Building in AI in 2015 felt novel.
We were using it to find cancer tumours and save lives.
Now the biggest tech companies have turned AI into a money extraction machine.
That’s when I decided to make a change.
We raised $8.5M to build a better future for AI.
On Wednesday, we’re launching Rayline.
AI shouldn’t be locked inside a few labs’ models, prices and clouds. It should be open, transparent and decentralized.
More on Wednesday.
Quality! retweeted
Where can I actually use Gemini 4 Carbon?
Free users: Not available
Pro users: Not available
Ultra users: Not available
API: Not available
Announced late last month as SOTA. Ranks #1 on Artificial Analysis.
Quality! retweeted
If you’re campaigning to slow down AI, I want you to go explain it to the parents of a kid with a rare disease.
Look them in the eyes.
Tell them their child’s disease affects too few people for any company to spend a decade researching it. Tell them that AI could finally make that research cheap enough to happen.
And then tell them you think we should “pause.”
Tell them you need more time to feel comfortable.
Because that’s what you’re asking for.
You’re asking them to wait.
And some of them don’t have time to wait.
Your comfort is not worth their child’s life.
Quality! retweeted
We’ve updated the six Artificial Analysis Capability Indexes to v2.0, aligning them with evaluations from the Artificial Analysis Intelligence Index v5.0 and placing greater emphasis on Non-Hallucination and Agentic Tool Use
The Capability Indexes map tasks from O*NET occupations to benchmarks that represent them, weighting each benchmark by how often its capability appears in that occupation. There are six indexes: Finance & Accounting, Strategy & Ops, Legal, Healthcare & Medical, Engineering, and Economics.
Key changes:
➤ Finance & Accounting: increased weight on Non-Hallucination, upgraded HLE to HLE-Diamond and AA-Omniscience to v1.1, removed GDPval-AA from Agentic Knowledge Work, and removed AA-LCR from Long-Context
➤ Strategy & Ops: increased weight on Agentic Tool Use, added Non-Hallucination and upgraded AA-Omniscience to v1.1, removed GDPval-AA from Agentic Knowledge Work, and removed AA-LCR from Long-Context
➤ Legal: increased weight on Non-Hallucination, upgraded HLE to HLE-Diamond and AA-Omniscience to v1.1, removed GDPval-AA from Agentic Knowledge Work, and removed AA-LCR from Long-Context
➤ Healthcare & Medical: increased weight on Agentic Tool Use, upgraded HLE to HLE-Diamond and AA-Omniscience to v1.1, and removed GDPval-AA from Agentic Knowledge Work
➤ Engineering: added Science as a new capability sourced from CritPt v2 (Hard Subset) and Terminal-Bench-Science 0.1, added FrontierCode 2.0 to Agentic Coding, upgraded HLE to HLE-Diamond and AA-Omniscience to v1.1, and removed GDPval-AA from Agentic Knowledge Work
➤ Economics: increased weights on Agentic Knowledge Work and Long-Context Reasoning, replaced AA-LCR with GDP.pdf in Long-Context Reasoning, upgraded HLE to HLE-Diamond and AA-Omniscience to v1.1, and removed GDPval-AA from Agentic Knowledge Work
Key results:
➤ Claude Opus 5.5 (max) leads in all six indexes, followed by GPT-6 Astra (max) in Finance & Accounting, Legal, and Engineering
➤ Among open weights models, Kimi K3.1 Pro (weights not yet released) leads all six indexes, at #5 to #8. MiniMax-M3.1-Flash leads in Strategy & Ops (#10), and DeepSeek V4.1 Flash 1017 (max) leads Healthcare & Medical (#12)
