AlphaLKA 🀄️

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AlphaLKA 🀄️

AlphaLKA 🀄️

@AlphaaaLKA

de/gen pre-rich arc | Clicking buttons all day, everyday ! | contributooor @xai_games @normie_capital

Moon Katılım Temmuz 2021
1.2K Takip Edilen446 Takipçiler
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AlphaLKA 🀄️
AlphaLKA 🀄️@AlphaaaLKA·
I'm doing this $100 to $100,000 challenge with Solana shitcoins. We're in it for the tek. Moon or dust #LFG All trades will be shared on Twitter in real time. Gmooonin !
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soothsayer
soothsayer@iamasoothsayer·
2023: Corona ended 2026: Hantavirus
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𝙆𝙖𝙣𝙞𝙞 🪼
𝙆𝙖𝙣𝙞𝙞 🪼@Mythicalblue_·
Everyone needs an uncle Phil in their lives
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DadOps
DadOps@daddaops·
Not quite — it’s worse. Say you make $60K in Colorado. Before you spend a dollar: ~$5K federal income tax ~$2K state income tax ~$4.6K payroll tax So your $60K is already more like $48K. Then you try to live. Buy a house? Property tax. Buy food, clothes, tools, furniture, diapers, gas? Sales tax. Pay utility bills? More taxes and fees buried inside. Save a little? Interest taxed. Invest a little? Dividends and gains taxed. Pay a plumber, mechanic, babysitter, barber, or contractor with your already-taxed money? They get taxed on receiving it. Then they spend it, and it gets taxed again.
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Higgsfield AI 🧩
Higgsfield AI 🧩@higgsfield·
Higgsfield MCP now connects to Claude! 🧩 The first way to generate visuals on Claude, powered by Seedance 2.0, GPT Images 2.0, Marketing Studio and Cinema Studio. Research on Claude. Polish your prompts. Generate ads, videos and brand content via the Higgsfield connector.
Higgsfield AI 🧩@higgsfield

Higgsfield MCP is HERE! 🧩 You can now create content end-to-end inside any agent: OpenClaw, Hermes Agent, NemoClaw. The only way to get agentic access to Seedance 2.0, GPT Images 2.0, and every other top model. Let your agents build content while you sleep.

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Claude
Claude@claudeai·
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
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zostaff
zostaff@zostaff·
> you worked 20 years to afford a used camry > some kid typed docker compose up and went to sleep > three AI agents traded Polymarket all night morning > Telegram: +$14,200 > his alarm clock made more than your monthly salary > the tools are free, open-source, on GitHub the whole time > you just didn't know now you do
zostaff@zostaff

x.com/i/article/2033…

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Okara
Okara@askOkara·
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
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Computer
Computer@AskPerplexity·
Perplexity Computer replaced $225K/yr in marketing tools in a single weekend. We built an AI marketing agent that scans hourly, manages budgets, detects fatigue, and coordinates several campaigns end to end. In one test run, it made 224 micro-optimizations to our ad stack.
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NotebookLM
NotebookLM@NotebookLM·
Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources. Rolling out now for Ultra users in English!
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Tuki
Tuki@TukiFromKL·
Holy shit, Qwen 3.5 running locally on an iPhone 17 with no internet, no subscription, no data leaving your device. The AI companies charging you monthly just became optional.
Adrien Grondin@adrgrondin

The new Qwen 3.5 by @Alibaba_Qwen running on-device on iPhone 17 Pro. Qwen 3.5 beats models 4 times its size, has strong visual understanding, and can toggle reasoning on or off. The 2B 6-bit model here is running with MLX optimized for Apple Silicon.

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Qwen
Qwen@Alibaba_Qwen·
🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast, great for edge device • 4B → a surprisingly strong multimodal base for lightweight agents • 9B → compact, but already closing the gap with much larger models And yes — we’re also releasing the Base models as well. We hope this better supports research, experimentation, and real-world industrial innovation. Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…
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Axel Bitblaze 🪓
Axel Bitblaze 🪓@Axel_bitblaze69·
i've been trying to automate my crypto research for months.. burned through probably $1500 in API costs learning what doesn't work then qwen drops this today and i'm like... fuck what i was doing: paying claude API to monitor markets 24/7 checking whale wallets, price alerts, volume spikes, key events and unlocks, the whole thing yes it did worked great but the problem is i was paying per query for stuff that should just... run checking "did this wallet move?" 24 times a day adds up fast but i need that monitoring. can't manually check wallets every hour. what i tried: switched to gemini thinking it'd be cheaper. got rate limited constantly. tried chatgpt API. worked until i hit their usage limits mid-research. tried mixing cheaper models for simple tasks. configuration nightmare. the realization: cloud APIs are designed to monetize every call for simple monitoring, i'm paying premium prices for basic checks then qwen dropped these models today: 0.8B, 2B, 4B, 9B free. run locally. no API key. no per-call charges. i'm reading the specs and it's clicking: "4B model for lightweight agents" "9B closing gap with larger models" wait... i can run these on my laptop? for free? unlimited checks? what this means for my setup: whale monitoring: qwen 4B running locally, checking addresses constantly → $0/month price alerts: 2B model fast enough for real-time checks → $0/month basic research: 9B for pulling on-chain data, comparing metrics → $0/month im testing it now.. downloaded the 4B model. running it locally. set it to watch 5 wallets as a test. response time is solid. checks every minute. no API cost. if this scales to 20 wallets with no slowdown, i just saved $200+/month on monitoring alone. the plan is migrate simple monitoring to local qwen models (2B/4B) keep claude for complex strategy analysis and final content polish basically, free local models for 80% of grunt work, paid API for 20% that needs premium intelligence i'm sharing because i spent months burning money on cloud APIs for tasks that don't need premium models qwen dropped the exact solution today if you're automating anything repetitive (monitoring, alerts, basic research), test these local models first might save you hundreds per month like it's about to save me downloading the models now. will report back on how it actually performs at scale.
Qwen@Alibaba_Qwen

🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast, great for edge device • 4B → a surprisingly strong multimodal base for lightweight agents • 9B → compact, but already closing the gap with much larger models And yes — we’re also releasing the Base models as well. We hope this better supports research, experimentation, and real-world industrial innovation. Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…

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AI Edge
AI Edge@aiedge_·
f*ck your weekend plans. You NEED to: • Learn Claude Code • Set up Perplexity Computer • Set up Claude Cowork (plug-ins, skills) • Set up OpenClaw • Experiment with agentic solutions • Use AI to create a business plan & strategy • Build an AI second-brain database • Learn basic automation tools (Manus, MCP, Zapier) • Become an elite prompt-engineer - the better you can communicate with AI, the better your Outputs • Read AI articles • Dive into robotics • Research AI stocks/ETFs/investment arbitrages The list goes on. SO much to do.
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dev
dev@zivdotcat·
pov: new college grads, $100k in debt after four years of grinding, watching anthropic ship a new launch every three days and wipe out entire job categories
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shirish
shirish@shiri_shh·
Jack Dorsey just laid off 4000 people in a single tweet AI taking jobs is not a meme anymore.
shirish tweet media
jack@jack

we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone. first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay. we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly. i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures. a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers. we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold. to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward. to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow. jack

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Mr. Buzzoni
Mr. Buzzoni@polydao·
POLYMARKET BOTS AFTER THE 500MS UPDATE > just finished reading "How to build a Polymarket bot" - and honestly, it’s on point from my own experience digging into this space, I can say confidently: > WebSocket is mandatory now > and if you’re serious - Rust over Python > REST is dead in this environment > by the time your request round-trips, the opportunity is gone and without a tight cancel/replace loop, you’ll just get picked off > when Polymarket removed the 500ms taker delay, I genuinely thought a big portion of bots would die overnight add dynamic taker fees on top - it looked like the end of easy edges but that didn’t happen - everyone adapted fast the meta shifted: > maker instead of taker > rebate farming > fee-aware order signing > low-latency infra and the printing continues! > for example, here’s a bot that clearly survived the update and is still performing: polymarket.com/0x2d8b401d2f0e… the article lays out the new architecture correctly: > WebSocket orderbook streams > feeRateBps included in signatures > fast cancel/replace cycle > VPS with serious latency discipline especially on 5-minute BTC markets - this is basically micro-HFT now > i recently finished setting up an OpenClaw bot for weather markets - so naturally this makes me want to experiment with adapting something under the new Polymarket mechanics as well 👉 bookmark this if you’re building > and follow if you’re into deep dives on Polymarket infra, bots, and execution strategy
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dominatos@_dominatos

x.com/i/article/2024…

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chiefofautism
chiefofautism@chiefofautism·
CLAUDE CODE but for HACKING its called shannon, you point it at website and it just... tries to break in... fully autonomous with no human needed i pointed it at a test app and it stole the entire user database, created admin accounts, and bypassed login, all by itself, in 90 minutes
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