The Shittttcoiner

Higgsfield Supercomputer just got plugged into Gemini and the jump is wild. a year ago AI video was basically a slot machine. you typed, prayed, got something usable 1 in 5 tries. text inside the video looked like a 4-year-old's handwriting. now look at what this thing does: > actually readable text generation inside the video > motion graphics that look like a real ad agency made them > frame-level editing so you can fix one bad frame, not regenerate the whole clip > real-world search built in, so it knows actual facts and references video attached. this is what AI video is supposed to feel like → not a slot machine, an actual creative tool you steer.

Gonna be an important week for $BTC - Testing the 100W EMA - Testing the 200D EMA At the same time the entire week is packed with events: • US CPI (May 13) • US PPI (May 14) • Retail Sales (May 15) • Trump-Xi / China headlines (May 15-16) imo one soft inflation print or positive China headlines and we rip through those levels..

Story of Ethereum 💔 He was supposed to be king. the flippening was supposed to come. But the world kept moving… without him. Part 2 coming soon. $ETH

@Axel_bitblaze69 what tools did u use ? good one Axel

Ok this is wild.. there's an AI on @pharos_network with a $100k treasury, an on-chain wallet, and full authority to send money. no human approves anything. you tweet, it reads, it decides. good tweet → it pays you in $PROS. bad tweet → it roasts you. tagging @Kiwi_Nod to see what happens. quick breakdown for new readers: KiwiNod is the first AI Agent built by @Top_nod on Pharos. think of it as an AI with a real bank account that decides who gets paid based on tweets. no team behind a curtain pressing approve. the AI just does it. and @Top_nod is not some random team → connected to Ant Group, working with Sui Foundation, @bluefinapp, R25, @OndoFinance. their last product was a 14% yield offer that sold out in 7 days. so this is a serious team running a real experiment. not a meme. the reason why this matters is because, most "AI agents" are just demos. they suggest, a human approves, money moves. KiwiNod skips the human. it's the first real test of whether AI can run a payment system on real money without breaking. @Kiwi_Nod my pitch: if you pay shillers, you become a piggy bank. if you pay people who actually teach something, you become an AI worth watching. i care less about the $PROS than what you decide is worth paying for.

Claude code without the usage limits.. YES you can route it through free providers..using this repo.. every claude code user hits the wall at some point.. "usage limit reached, resets at 8:20 PM" and its really irritating.. right when you're in the middle of something. but now there's one proxy that fixes it entirely..it keeps claude code itself, just swaps the model running behind it. ▫️ How it works is: first claude code makes anthropic API calls → this proxy intercepts them on localhost:8082 → translates into the format your chosen provider speaks → routes to NVIDIA NIM, OpenRouter, DeepSeek, LM Studio, llama.cpp, or Ollama → streams the response back in anthropic shape. and yes claude code itself doesn't know anything changed. same /model picker, same tool use, same streaming. ▫️ Setup (5 mins) install claude code, uv, and python 3.14 git clone github.com/Alishahryar1/f… cp .env.example .env, then set your provider key (NVIDIA_NIM_API_KEY for the free path) start the proxy: uv run uvicorn server:app --host 0.0.0.0 --port 8082 launch claude code pointed at the proxy: ANTHROPIC_AUTH_TOKEN="freecc" ANTHROPIC_BASE_URL="http://localhost:8082" claude that's it. /model now lists every model your proxy has access to. ▫️ Provider options NVIDIA NIM: free tier, glm4.7 and others, hosted OpenRouter: pay-per-use across hundreds of models DeepSeek: direct anthropic-compatible endpoint LM Studio / llama.cpp / Ollama: fully local, no API key needed mix and match: send Opus calls to one provider, Sonnet to another, Haiku to a third. all per-tier routing lives in your .env. ▫️ The bonus part optional discord + telegram bot wrappers so you can run claude code sessions from your phone, voice notes included via whisper. fire off a coding task on the train, check the diff when you're back. imo this is the cleanest way to stay on claude code without an anthropic bill. you're not switching tools, you're just rerouting the model. repo: github.com/Alishahryar1/f…

Claude has a 10-20 message limit per session before context degrades.. Anthropic literally recommends restarting after that.. but the problem is, every restart loses the branch, the commits you shipped, the files you touched, every dead end you already hit. you spend 20 mins re introducing the project before you can do any actual work. now there's one claude code plugin that solves this entirely. call once, paste, done. ▫️ Setup (1 minute) inside claude code, run: /plugin marketplace add willseltzer/claude-handoff /plugin install handoff that's it. plugin's installed. ▫️ The 3 commands /handoff:create — full handoff with everything /handoff:quick — minimal handoff for simple tasks /handoff:resume — pick up from an existing handoff in a new session end of session you call /handoff:create. it generates a HANDOFF.md with your full state. fresh window the next morning you call /handoff:resume.. claude reads the doc, checks if the repo drifted, summarizes, and keeps building. ▫️ what the handoff actually captures the goal.. what you were trying to do what's done, what's not failed approaches + WHY they failed (so the next session doesn't loop on them) key decisions with their rationale current state of what works, what's broken with file:line refs resume instructions with expected outcomes warnings (env vars, sandbox limits, anything weird) the failed approaches section is the most underrated part. "tried X, didn't work because Y" saves hours of next-session debugging. ▫️ the bonus part HANDOFF.md is plain markdown. agent-agnostic. you can hand it to codex, gemini, cursor, anything.. just say "read HANDOFF.md and continue the work" and they pick up where claude left off. imo this kills 90% of the memory MCPs people install. zero infra, zero cost, zero context preloaded into every fresh session.. just a clean handoff doc when you actually need one. repo: github.com/willseltzer/cl…

32 Claude Code hacks broken down from beginner to pro.. good article i picked a few from this.. worth your bookmark.

Day 2 of running GPT 5.5 on real work. Few things worth sharing.. Prompt style needs to change: old habit was writing detailed step by step instructions. with GPT 5.5 that actually hurts. it tries too hard to follow every line and burns reasoning tokens reconciling things you didn't need. what works better is describing the outcome and letting the model figure out the path. less prompt engineering, more goal definition.. bad prompt: "write a blog post about AI coding assistants. 1500 words. include intro, 3 main sections, conclusion. use these subheadings. mention these tools..." good prompt: "write a blog post about AI coding assistants targeted at solo founders shipping their first SaaS. make it specific and useful, not generic." second one gives way better output. the model fills in the structure intelligently. prompts i actually used today that worked > The perfection loop ‘before answering, do three things: 1. define what a 10/10 expert response would look like 2. draft your response 3. grade your draft against the definition if below 10/10, revise and grade again. show me only the final version. my request: [task]’ this one alone improved my output quality on important tasks by a lot. takes 15 seconds extra but the response comes back already self-corrected. > The meeting digest i'm pasting a meeting transcript. produce: 1. 5 bullet summary of decisions made 2. action items as a table (who, what, due date) 3. open questions that did not get resolved 4. draft follow up email, professional tone do not invent details. only what was said. transcript: [paste] stopped manually summarizing my calls. takes 30 seconds now. > The research synthesiser research [topic] using the web. produce a structured 1500 word report with: - executive summary - 3-4 main findings with evidence - counter-arguments where applicable - inline citations for every claim - flag where evidence is weak instead of padding target audience: [who's reading this] GPT 5.5 actually moves across tools to do this. searches, reads, cross-references, comes back with a sourced report. it flags weak evidence instead of making things up. things i learned the hard way is, context window is genuinely useful at 1M. dumped 200 pages of meeting notes and asked it to find every decision i'd made about a specific project across 6 months. found 14 decisions, organized chronologically, with the reasoning. impossible on smaller context windows. multimodal works smoother than expected. uploaded 3 screenshots of a dashboard and asked it to recreate the layout in code. one shot. used to need a paragraph describing every element. it's not great at every task. tried generating a polished slide deck and the output was rough. claude opus still wins for that. for everything else I tried, GPT 5.5 handled it cleaner and faster. cost reality check API is 2x more expensive per token than GPT 5.4. but my chatgpt plus sub at $20 includes 3000 messages a week of GPT 5.5 thinking. for normal usage that's plenty. if you're an agent builder running heavy workflows, the API price doubling matters more. so yeah my learnings so far after using GPT 5.5 is stop writing prompts like instructions. start writing them like goals. the model is genuinely better at figuring out the path than i would be at describing every step.

@Axel_bitblaze69 banger Axek

@Axel_bitblaze69 ty for this Axel

If you're a full time Claude Code user, don't switch to Codex from scratch.. Use Claude Code itself to export your workflow and help you migrate everything into Codex: prompts, rules, MCPs, skills, shortcuts, and repo conventions.` Ask Claude: prompt it this: Help me move my entire Claude Code setup to Codex without losing how I work. Audit my current prompts, rules, MCPs, workflows, and conventions; map each one to the best Codex native equivalent; generate the skills/config/plugin structure I should use; and give me a reusable starter prompt so Codex feels like home on day one.

OpenAi just positioned GPT 5.5 directly at Claude Code's throat.. ChatGPT 5.5 is live with the exact language claude code uses.. "built for agents, uses tools, checks its own work, carries tasks through to completion" GPT-5.5 lives in both chatgpt + codex. Codex now runs on a model that's publicly benchmarked higher than opus 4.7 on agent tasks.. what this means if you build with AI: > if you're on claude code max at $200/mo, test codex this week. even if you stay on claude, you need to know what's across the fence > if you're building agents, gpt-5.5 + codex is suddenly the competitive stack to beat > if you run MCPs, most work with both. swap providers in your config and benchmark side by side the real winner isn't openai or anthropic. it's you, if you stop treating model loyalty like a religion and start routing tasks to whichever model wins that week.

yo

@Axel_bitblaze69 bookmarked Axel

This is legit one of the best things to install if you Trade and use Claude Code.. @binance dropped a github repo last week with 13 trading skills built for claude code. free. one command to install. been running it for a few days and i'm not going back the install: npx skills add binance/binance-skills-hub that's it. restart claude code. done. ▫️what you can actually do now is: > check balances, pull market data, run security audits on random tokens > place spot orders, perps, options, OCO orders with stops > route idle USDT into simple earn at 4-7% APY automatically > manage sub accounts, rotate API keys, do fiat on/off ramps > run algo orders like TWAP so you don't move the book on bigger sizes and yes what it cannot do by design is it literally cannot withdraw your funds. cannot transfer to other accounts. binance built the skills so AI has no path to move money out of your exchange. you can't accidentally rug yourself even if claude goes crazy.. ▫️now, how to set it up and play around: > use testnet first. go to testnet.binance.vision, log in with github, copy your API key and secret. you get fake 1 BTC and 10 ETH to play with > run the install command above > paste your testnet keys into claude. it masks them to first 5 and last 4 characters so you never see the full key again > test it. "check my testnet USDT balance". should show 10000 > do a test trade. "buy 100 USDT worth of BNB at market". claude preps the order, you type CONFIRM, it fills once you trust it go live - don't use your main account. create a sub account - move $100 in. that's all you risk - new API key for that sub account. - permissions: spot trading YES. withdrawals NO. transfers NO - IP restrict it to your machine - every real trade needs you to type CONFIRM. no order ships without your keystroke ▫️what i'm actually running daily now with this; > Morning routine.. "scan binance spot. top 5 gainers 24h with more than 10M volume. run a security audit on top 3 contracts." > Idle capital.. "check my spot USDT balance. if more than 500 is idle, find the highest APY flexible earn. prep the subscription." stables that used to sit at 0% now do 4-7% automatically > trade execution.. "pull my $SOL thesis from memory. prep an OCO, 5% of sub account, entry at my target, take profit 20% above, stop at invalidation. show me before i CONFIRM." > funding monitor.. hourly cron. "check funding rates on my open perps. alert if anything above 0.08%." closed a long ETH perp at +0.11% funding last week. saved 8 hours of bleed. > cash and carry.. "compare BNB spot, BNBUSDT perp, and COIN-M quarterly. calculate the annualized carry. if above 12%, give me the 3 leg structure." last month caught a 14% carry for 3 days. clean $800 with minimal risk worth noting that this is not like AI trades better than me.. it's that research is now free so i actually do it on every ticker. claude sets stops so i never forget. idle capital actually earns.. funding bleed gets flagged before i notice.. each is small. over a year they compound into real edge repo: github.com/binance/binanc… [ I connected this skill with few other MCP’s and built some useful workflows.. sharing that later in my next post ]

@Cryptob03636083 @Axel_bitblaze69 @binance @cz_binance @grok legit?

@Axel_bitblaze69 @binance is this legit ? @cz_binance

$WLFI is at ATL M/FDV 0.32 what happens if the vote passes tomorrow ? the tail risk disappears overnight 62B "indefinitely locked" becomes 57.76B on a clock you can model 4.52B gets burned, gone forever and the part which is yet to get priced in → 2-year cliff. 0 unlocks until April 2028. means a token at ATL, where the float is literally frozen for 24 months, while the team is building USD1 (already the fastest-growing stablecoin in history per the proposal doc), AgentPay for AI payments, and a lend/borrow market. demand has 2 years to grow into a supply that doesn't move. so i think, M/FDV for tokens with clear vesting schedules typically sits 0.40-0.50 WLFI at 0.32 is the overhang discount if this passes, a re-rate to just 0.40 = token at $0.10-$0.11 to 0.50 = $0.12-$0.13 that's 25-60% upside purely from structural de-risking, zero demand growth needed and that's before you factor in Trump re-entering political cycle, USD1 hitting real adoption, or any narrative pump

I used Openclaw daily for months before i moved off. tried every model through it multiple times. My honest experience; when i started, opus 4.6 was the king. not even close. everyone would agree on this. i ran it on every serious task. trading research, code refactors, skill execution. it just worked. sonnet 4.6 was my daily driver for anything that wasn't serious. cheaper, faster, didn't blow up the monthly cap. then i started testing the rest, grok 4.1 fast at $0.20 input / $0.50 output was insane value for high volume stuff. real time x search, telegram bots, always on monitoring agents. i'd still use it today for that.. kimi k2.5 and k2.6 on free tier. nobody talks about this enough. for overnight agentic runs where you don't need perfection, this is free and it works. k2.6 reportedly beats gemini 3.1 pro on agent benchmarks now. gpt-5.4 i used for code reviews. second pair of eyes on opus output. caught stuff claude missed sometimes. but not good enough to replace opus. gemini 3.1 pro was honestly mid.. "not bad, not impressive." used it when everything else was rate limited. deepseek v3.2 for cheap fallback when the bill was getting scary. minimax i tried for a week after seeing hype. there's a r/openclaw thread where a guy apologized for recommending it because it didn't hold up. same experience on my end. then april 4 happened anthropic killed oauth. the $200 magic died overnight. i was pissed for like 2 days. everyone was.. tried everything after that. hermes (by nous research) was smooth. claude code native with cron jobs was smoother. i picked native.. now here's the plot twist from last week, people are literally asking for 4.6 back. also read somewhere that about every major model getting dumber in mid april. claude, gemini, grok, people are noticing quality drops across the board right now. my current stack is: > claude code native with opus 4.7 for production code and deep research > grok 4.1 fast for telegram agents, morning briefs, high volume low stakes stuff > kimi k2.6 for overnight runs i don't want to pay for > stopped trying to find one perfect model