Trading Phoenix รีทวีตแล้ว
Trading Phoenix
4.3K posts
Trading Phoenix
@perfectcards
Investment asset manager in Interactive Brokers. Systematic trading order flow in bonds, stocks, currencies, commodities in global 80 markets.
Poland เข้าร่วม Eylül 2007
562 กำลังติดตาม191 ผู้ติดตาม
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
AGI confirmed
Mythos should be declared a weapon of mass destruction
Phi@FatherPhi
Grok will not spare him
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Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
Trading Phoenix รีทวีตแล้ว
all people telling you to switch to this Chinese model as they are "as good as Opus for 1/10 of the price" are basically liars and incompetent
they don't use the tools, they make tweets for hype, because using this model for 2 minutes makes you realize how dumb they are
what for? seriously
Kaif@kaif9999
Anthropic banned my Julius (OpenClaw) from their API 💀 So I tested every single alternative out there. Was burning $150/month on credits. Tried Kimi K2.5… and now I finally see why it’s the most-used model for OpenClaw on OpenRouter. > 90%+ of Claude Opus performance > Built-in web search (no extra API calls) > 8x cheaper than Claude I went from $150/mo → $15/mo. Almost the same coding output and reasoning quality. The math just isn’t even close anymore. Who else made the switch? What’s your new stack? 👇
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@aryanlabde Yep, greedy young wolves dreaming of making millions creating slop nobody wants.
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Trading Phoenix รีทวีตแล้ว
@rileybrown Better, after 1 month on Openclaw I am slowly switching --- no need to fix Openclaw every day .
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Is Hermes better than OpenClaw or is it yet another psyop on the timeline?
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Trading Phoenix รีทวีตแล้ว
Hermes can now command an army of coding agents. One prompt, multiple agents spawned. Multiple PRs land all in parallel.
Agent Orchestrator now Available for Hermes (by @NousResearch)
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Trading Phoenix รีทวีตแล้ว
Spent the last few days vibe coding on my NVIDIA DGX Spark.
Here's what I learned.
Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing".
Unusable for vibe coding.
Gemma 4 was fast but built a dot instead of a first person shooter game.
GPT-OSS 120B was the sweet spot.
Fast, capable, and actually produced working HTML.
Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4.
Not even close.
But they're getting better every month.
The new DGX Spark Bench is live on bridgebench.ai.
Real-world benchmarks for local models on local hardware.
This is just the start. Full video below.
BridgeMind@bridgemindai
Claude Code rate limited me so hard I bought a $5,000 NVIDIA DGX Spark. Arriving tomorrow. A personal AI supercomputer. Anthropic cut off OpenClaw users. Slashed Claude Opus 4.6 rate limits. Told $200/month Max plan customers to use less. Then gave us a credit as an apology. This is what happens when AI companies have too much power over your workflow. One update and your entire stack breaks. Local models are the only infrastructure no one can throttle. No rate limits. No 529 errors. No surprise policy changes. Tomorrow I'm testing the DGX Spark live on stream. Running local models through real vibe coding workflows. The goal is simple. Never depend on a single provider again.
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Trading Phoenix รีทวีตแล้ว
