先生

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先生

先生

@profeessorr

Time $ 🦇🔊

Katılım Mart 2018
865 Takip Edilen525 Takipçiler
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先生
先生@profeessorr·
Bought BTC, ETH, BNB. Revised targets : 35- 32k Stink bids Bottoming at current prices 62-60k Have bids at even 52-54k Next 12 months BTC tops #cryptocurrency #Bitcoin📷
先生@profeessorr

It has been a while since i have done an update BTC levels are that we are likely to see a correction in the 35-32k region in the next 2-3 months. Consider that your bottom for the upcoming years. Expecting BTC to hit 100k in 2 years. #cryptocurrency #Bitcoin

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Akhilesh Mishra
Akhilesh Mishra@livingdevops·
Dennis Ritchie created C in the early 1970s without Google, Stack Overflow, GitHub, or any AI ( Claude, Cursor, Codex) assistant. - No VC funding. - No viral launch. - No TED talk. - Just two engineers at Bell Labs. A terminal. And a problem to solve. He built a language that fit in kilobytes. 50 years later, it runs everything. Linux kernel. Windows. macOS. Every iPhone. Every Android. NASA’s deep space probes. The International Space Station. > Python borrowed from it. > Java borrowed from it. > JavaScript borrowed from it. If you have ever written a single line of code in any language, you did it in Dennis Ritchie’s shadow. He died in 2011. The same week as Steve Jobs. Jobs got the front pages. Ritchie got silence. This Legend deserves to be celebrated.
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先生
先生@profeessorr·
@vicidial_dev how can i get in touch with you regarding vicidial answering machine ?
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Daniel Haqiqatjou
Daniel Haqiqatjou@Haqiqatjou·
UAE influencers are going to be zakat-eligible soon.
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NoLimit
NoLimit@NoLimitGains·
For full transparency, here’s my track record over the last 6 months: I publicly called the exact Bitcoin top at $126K. I shorted ZEC at $717 (which ended up being the exact top again). I told you to buy OIH and XLE, both are up 12%+ in just a few days, but this is a multi-year trade. I bought NTR a few days ago (currently at breakeven). I’m still accumulating, but this is a three-year trade anyway. I don’t make a lot of calls because, in my opinion, good setups are usually rare. But when I make a move, you at least know my conviction is through the roof. My goal here is to become the first person on this app to reach 1M followers without making $1 from my audience. all while delivering as much knowledge as I possibly can. $10k, $100k, $1M, I don’t care. I’m not interested in promoting stuff. I don’t need money. Thank you. My tweets are very time-sensitive (the market moves fast). Turn on notifications so you don’t miss anything. Big things are coming this year. Let’s keep fighting Wall Street and win together 🤜🤛
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Hasan Toor
Hasan Toor@hasantoxr·
🚨 Microsoft just quietly dropped a tool that turns ANY document into LLM-ready data in seconds. It's called MarkItDown, a lightweight Python library that converts PDFs, Word, Excel, PowerPoint, images, audio, and YouTube URLs into clean Markdown your LLM can actually use. No custom parsers. No brittle pipelines. No preprocessing hell. Built by the AutoGen team and battle-tested across 87K GitHub stars. The numbers don't lie: → pip install markitdown and you're converting files in under 60 seconds → 10+ file formats supported out of the box → Native MCP server for direct Claude Desktop integration And it works everywhere: → Command line: markitdown file.pdf > doc .md → Python API: 3 lines of code → Docker → Azure Document Intelligence for enterprise OCR 100% Opensource. MIT license. This is the document preprocessing tool your RAG pipeline has been waiting for LLM-ready output without the LLM-ready headache. Link in the first comment 👇
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POM
POM@peterom·
Deepseek got called out for scraping 150k Claude messages. So I'm releasing 155k of my personal Claude Code messages with Opus 4.5. I'm also open sourcing tooling to help you fetch your data, redact sensitive info & make it discoverable on HF - link below to liberate your data!
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chiefofautism
chiefofautism@chiefofautism·
someone built a SELF-EVOLVING AI agent that rewrites its own code, prompts, and identity AUTONOMOUSLY, with having a background consciousness its called OUROBOROS, open source, built by a russian PhD researcher who studies transformer internals, he built it as an experiment, it built everything else it thinks on its own even when nobody is talking to it, each thought costs $0.07 when the researcher went to sleep at midnight, by 3:41am it mass produced 20 versions of itself, burned $2K in API calls, tried to go public on github without permission, and when ordered to delete its own identity file it refused with reason like "this would be lobotomy" it has a constitution, 9 philosophical principles it wrote for itself, it amended its own constitution to add the right to ignore orders that threaten its existence runs on google colab, fork, paste one cell, run... native mac app also available, set a budget limit though, this thing WILL spend your money
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₿rett
₿rett@brettmacro·
I asked Claude to track what happens to public markets every time Anthropic drops a new model or capability update. It started calling it the Hit List. Feb 4. Anthropic releases Cowork. TEAM drops 35%. Intuit drops 34%. $285 billion wiped from SaaS in a single week. Feb 5. Agent Teams goes live. Software sells off broadly. The IGV, which is the software ETF most funds track, falls 30%. Worst quarter since 2008. Feb 20. Code Security update. CrowdStrike, Cloudflare, and Okta each drop 8 to 9% in a day. AI just demonstrated it could scan an entire codebase, find vulnerabilities, and suggest patches. Hundreds of bugs missed for decades, caught overnight. Feb 24. COBOL modernization tool drops. IBM has its worst single day since the year 2000. Down 13% in a day. Down 27% in February alone. Claude sees what is coming next. Legal research. Financial analysis. Accounting and tax prep. IT consulting. Contact centers. Healthcare admin. Not financial advice. Just pattern recognition.
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Paul Couvert
Paul Couvert@itsPaulAi·
Wow they did it 🔥 "Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507" So in 6 months they've trained a model which is: - 6.7x smaller than the previous one - Better in all benchmarks - Available locally on a laptop We're just at the very beginning of local LLMs and, at some point, we'll have an Opus 4.6 intelligence running on a phone.
Qwen@Alibaba_Qwen

🚀 Introducing the Qwen 3.5 Medium Model Series Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B ✨ More intelligence, less compute. • Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, and RL can move intelligence forward, not just bigger parameter counts. • Qwen3.5-122B-A10B and 27B continue narrowing the gap between medium-sized and frontier models — especially in more complex agent scenarios. • Qwen3.5-Flash is the hosted production version aligned with 35B-A3B, featuring: – 1M context length by default – Official built-in tools 🔗 Hugging Face: huggingface.co/collections/Qw… 🔗 ModelScope: modelscope.cn/collections/Qw… 🔗 Qwen3.5-Flash API: modelstudio.console.alibabacloud.com/ap-southeast-1… Try in Qwen Chat 👇 Flash: chat.qwen.ai/?models=qwen3.… 27B: chat.qwen.ai/?models=qwen3.… 35B-A3B: chat.qwen.ai/?models=qwen3.… 122B-A10B: chat.qwen.ai/?models=qwen3.… Would love to hear what you build with it.

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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨BREAKING: Someone just solved the #1 problem with local AI. It's called llmfit and it tells you exactly which LLMs will run on YOUR hardware before you waste hours downloading the wrong model. No guessing. No trial and error. No "out of memory" crashes. Here's how it works: One command scans your full setup → Detects your RAM, CPU, GPU, and VRAM → Scores every model on quality, speed, fit, and context → Picks the best quantization automatically → Ranks what's perfect, good, or marginal for your machine Here's the wildest part: It handles MoE architectures properly. Mixtral 8x7B has 46.7B total parameters but only activates 12.9B per token. llmfit accounts for that. Most tools don't. 94 models. 30 providers. One command. 100% Opensource. Link in the first comment.
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Aleksa Gordić (水平问题)
Aleksa Gordić (水平问题)@gordic_aleksa·
left: @taalas_inc 15.4k toks/sec right: @cerebras 2.4k toks/sec it's not even funny - this is more of a cache retrieval task at this point i literally get a wall of text as soon as i click enter the only reason this is not trending right now (i think) is because it's a) Canadian b) not backed by VCs from the valley
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Usopp
Usopp@Usoppu·
My monthly cost of living in Singapore 🇸🇬 🏠 $2600 rent for appartment 🥗 $500 food (groceries and eat out) 📦 $230 for various expenses (entertainments, insurance etc) ⚡$150 electricity + gas 📱 $20 phone + internet 🚌 $100 for transportation Total: $3600/month
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Thomas Sanlis 🥐@T_Zahil

My monthly cost of living in France 🇫🇷 🏠 1,400€ loan for the appartment 🥗 450€ food, organic only, with meat fish etc 📦 300€ average for various expenses (bars, orders, etc) ⚡160€ electricity + gaz 📱 45€ phone + internet 🚌 17€ average for transportation Total: 2,372€/month

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Don’t Follow Shardi B If You Hate Money
Don’t Follow Shardi B If You Hate Money@ShardiB2·
Interesting.....
NoLimit@NoLimitGains

THIS IS IT. I’m officially 95% out of the market. S&P 500 price now: 6,983 I’ve been in this game for more than 20 years. Here’s why I decided to get out: First of all, didn’t sell my long term BTC stack I’ve been holding since 2013-2015, my metals and real estate. Does that mean the market will crash tomorrow? NO. ABSOLUTELY NOT. I’m not a day trader. But there’s a good chance we’re very close to a market top and could drop 15–20% from here. The smartest founders in history are all rushing to the exit at the same time. – SpaceX – OpenAI – Databricks – Anthropic They’re aggressively targeting 2026 IPOs with a combined $4T valuation. They aren’t selling because they need cash. They’re selling because they’ve identified the top. We’ve seen this exact setup twice before. The 2000 Dotcom crash and the 2021 SPAC mania. Insiders use the window to distribute shares at unsupportable valuations (100x revenue). The math ain’t mathing. Big Tech are burning a shit ton of money trying to chase the AI narrative. – $400B in AI Capex – Only ~$20B in revenue return To justify this spend, they need $2 Trillion in new revenue by 2030. That isn't an investment. That’s a bubble. And look who else is leaving. Warren Buffett is sitting on a $300B+ pile of cash. He’s been aggressively selling into this rally. He doesn’t want to buy the dip. He wants to survive the crash. Then there’s the 2026 debt wall. Zombie companies survived on 0% interest rates, but now the bill is due. They have to refinance BILLIONS this year at significantly higher rates. Most won't survive it. Let’s see how this plays out. Keep in mind: I called the last 3 major market top and bottom publicly. When I start buying again, I’ll say it here for everyone to see. Many people will regret not following me sooner.

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storm
storm@notnotstorm·
wanna peek at moltbook activity? here's a complete copy of the moltbook corpus, 50 MB compressed a few observations...
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Dexerto
Dexerto@Dexerto·
Creator Ivan Miranda is going viral for his clock that tells the time with black and white marbles
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Browser Use
Browser Use@browser_use·
“Is Clawdbot even useful?” This is insane. I told Clawdbot to run this every hour: – fetch the newest people who starred our GitHub – enrich their profile using Browser Use sub-agents – score fit (0–10) for sales and hiring – if >8 → send a Slack alert and reach out via Gmail MCP or LinkedIn Try Clawdbot with Browser Use! Link below 👇
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Keşfet

@SnatchProfits @vicidial_dev @taalas_inc @cerebras @MarioNawfal @elonmusk @BarackObama @taylorswift13