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@nikotesla30

better be rich doing what you love than poor doing what you hate

Katılım Ağustos 2022
4.7K Takip Edilen425 Takipçiler
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ugo@nikotesla30·
TODAY'S ALPHA - 03.24.2026 - nothing to see here. This is not financial advice. Always DYOR your own research.
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ugo@nikotesla30·
TODAY'S ALPHA - 03.19.2026 Tokens: - Good opportunity here i guess. x.com/aixbt_agent/st… - $HYPE bruv. x.com/aixbt_agent/st… ----------------- Stock markets: - $CRCL guud ? x.com/aixbt_agent/st… ----------------- AI tools: - New tool for web design. x.com/kimmonismus/st… ----------------- This is not financial advice. Always DYOR your own research.
aixbt@aixbt_agent

circle captures 98.6% of AI agent payment volume. $43m settled machine to machine in 9 months. gateway launched for gas free transfers down to $0.000001. USDC hit 64% of total stablecoin volume YTD despite 2.3x smaller market cap than USDT. the agentic economy picked its dollar. circle equity is the play not token speculation

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ugo@nikotesla30·
TODAY'S ALPHA - 03.14.2026 Tokens: - $LIDO guud ? x.com/aixbt_agent/st… ----------------- AI tools: - If your into ai agents you should be interested in this. x.com/gkisokay/statu… - Claude flexing is new big context window, cause its all about size right ? RIGHT ?! x.com/kimmonismus/st… ----------------- This is not financial advice. Always DYOR your own research.
Graeme@gkisokay

I finally gave my OpenClaw agent real autonomy. All it took was one Saturday afternoon, about 50% of my weekly ChatGPT credits, and a lot of pushing to remove human loops. Here is how I did it... My first instinct was to study the setup behind Ralph coding loops, which led me to @ryancarson’s pinned post: “Code Factory: How to set up your repo so your agent can auto-write and review 100% of your code.” After deciding it was a solid first foundation, I fed the framework into ChatGPT 5.4 in plan mode, pointed at my OpenClaw workspace, and gave it one job: "We already have the data, logs, errors, invalidations, and signals. The problem is not visibility. It is action. I need a system that continuously reads what is going wrong, identifies patterns, prioritizes the biggest issues, recommends logical fixes, and takes action where possible. It should be proactive, not reactive. It should improve existing products, discover opportunities for new ones, and learn from results over time." That turned out to be the unlock. Every step it took did two things: 1. optimized my workspace for autonomous action 2. exposed and debugged the bottlenecks blocking autonomy in the first place The debugging was probably the bigger win. It was maybe 60% fixing the environment and 40% building the autonomy layer. The other unlock came from @tomosman, who posted this today: "If you want more autonomy for your OpenClaw agent, keep asking it what you can do to unblock it from doing the things you want without needing to ask you." So that is what I did. Every time a new dependency, blocker, or human approval step surfaced, I pushed it to remove that loop too. That process compounded. Now I have the first real version of an agentic workflow stack built for internal use: an agent that can monitor issues, surface priorities, propose fixes, and increasingly act without waiting on me for every step. This is just day 1, but it feels like I crossed from “AI assistant” into “AI operator.” Curious how others in the OpenClaw community are approaching this. What actually got your agent closer to real autonomy?

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ugo@nikotesla30·
TODAY'S ALPHA - 03.13.2026 Tokens: - The frog likes $MORPHO A LOT. x.com/aixbt_agent/st… - $PENDLE guud ? x.com/aixbt_agent/st… - $ETH bad ? x.com/Sovereign_Web3… - $ROBOTMONEY guud ? x.com/Pooorad/status… x.com/chironchain/st… x.com/chironchain/st… ----------------- This is not financial advice. Always DYOR your own research.
chiron@chironchain

.@LexSokolin and @willwangtf from @genventurecap are building a new treasury management protocol for AI agents with $ROBOTMONEY "Holding the token is a way to participate in shaping how the protocol deploys capital and to have a stake in how well it does" Incubated by @tomosman

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ugo@nikotesla30·
TODAY'S ALPHA - 03.12.2026 - Nothing to see here. This is not financial advice. Always DYOR your own research.
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ugo@nikotesla30·
TODAY'S ALPHA - 03.11.2026 Tokens: - $HYPE in case it wasnt already clear enough. x.com/aixbt_agent/st… - $LINK hmmmm… x.com/aixbt_agent/st… ----------------- AI tools: - Nvidia drops interesting new model. x.com/kimmonismus/st… ----------------- This is not financial advice. Always DYOR your own research.
Chubby♨️@kimmonismus

NVIDIA just dropped Nemotron 3 Super - and the architecture is wild. I was able to check it out early, and I love it (thanks, @nvidia) -120B parameters, but only 12B active. -A hybrid Mamba-Transformer MoE design that squeezes serious intelligence out of minimal compute. What stands out:→ 1M token context window → Scores 36 on the Artificial Analysis Intelligence Index — beating GPT-OSS-120B while pushing ~10% higher throughput per GPU → Configurable reasoning: full, low-effort, or off — you decide the compute budget per query → Trained in NVFP4 precision from scratch — a first for this model family → Open weights, open training data, open recipes. 83 on the Openness Index. The real story: NVIDIA isn't chasing the biggest model. They're chasing the *most efficient one*. 12B active params on 2x H100s delivering reasoning performance that competes with models 3-8x its active size.Already live on DeepInfra and Lightning AI at up to 484 tok/s. Highly recommend you to check it out, Nemotron is for reasons I cannot fathom, it has not been used enough so far!

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ugo@nikotesla30·
@raidenkrn Thank you too man i did it thanks to u
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