mister golf? never' sleep + speedrun to heaven😇

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mister golf? never' sleep + speedrun to heaven😇

mister golf? never' sleep + speedrun to heaven😇

@mr_golf7

focus on making money your wife isnt born yet run growth loops fb/google/x ads with onchain segmentation 𝘣𝘶𝘪𝘭𝘥𝘦𝘳 @base

Katılım Şubat 2021
805 Takip Edilen1.6K Takipçiler
ayrton.df
ayrton.df@ayrton_df·
crazy lifehack for anyone living in japan or staying there for while from 10am to 8pm, across 64 different locations, you can get free wifi unlimited coffee tea and juice snack bar massage chairs free parking foot massage machines desk space and office cubicles focus and work pods trick is simple you sign up for monthly membership with haruyama, mens suits and clothing retailer, for 1320 yen which is about 9 dollars month that is all you can cancel anytime after first month
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kenso cooking📱⌒ヽ(*'、^*)chu
mamdani is very sharp politician, even more skilled than jokowi in my view nyc had budget deficit, and he turned to new york state for support. katie hochul wants to stay strong for next election, so she stepped in to help zohran and strengthen ties with him but in media, she framed it through usual tax billionaires line yes, he is raising taxes on second home owners in nyc, but that looks small compared to scale of federal and state bailout money wkwkw if zohran becomes mayor, he could later make run for governor of new york state, and without term limits he could keep winning for very long time
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MARIO DAO (🍄,🧠)
MARIO DAO (🍄,🧠)@DaoMariowhales·
the trade volume is what makes it scary $17,102,326 traded 11,243 predictions all on 5-minute bitcoin "up or down" markets that's ~370 trades per day. one every 4 minutes around the clock no human does this. this is a bot current open positions tell the story down 52.1¢ → 99.6¢ = +91% in hours down 55.9¢ → 100¢ = +78% down 75.3¢ → 83.5¢ = +10% it's not predicting bitcoin direction. it's catching mispriced binary windows when retail panics at 5-minute resolution entry zone 50-60¢. exit at 99¢. repeat 370 times per day two months ago distinct-baguette joined. $400K+ this week 0xb55fa1 enters the top 5. $204K these aren't separate traders. these are forks of the same algorithm running on different wallets the meta is shifting. retail thinks polymarket is for "predicting elections" the smart money is running 5-minute crypto arbitrage at scale @0xb55fa1296e6ec55d0ce53d93b9237389f11764d4-1777575277609?via=MarioDAO" target="_blank" rel="nofollow noopener">polymarket.com/@0xb55fa1296e6… i track these wallets the moment they appear on the leaderboard drop the addresses + positions in our discord every morning discord.gg/GZA6tfNnXv
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MARIO DAO (🍄,🧠)
MARIO DAO (🍄,🧠)@DaoMariowhales·
🍄Mario - It's not just an alpha group. It's a family Join discord: discord.gg/mariodao 500+ members. 10+ tools. 500+ days of hard building Full Free. Early Marios jump first
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MARIO DAO (🍄,🧠)
MARIO DAO (🍄,🧠)@DaoMariowhales·
This account's bot makes $88,182 a month. The market doesn't even realize it exists. P(X_{n+1}=j \mid X_n=i)=p_{ij} \geq 0.87 → ENTER A fundamental mathematical formula implemented on Polymarket. And right now, it’s bringing this account $88K a month. It uses pure BTC directional scalping on hourly and 5-minute timeframes with a wide entry range. 36¢–63¢, while holding positions on both the Up and Down sides in different time frames. @0x04b6d7e930cf9e493c5e6ef24b496294f95594c8-1774448369789?via=MarioDAO" target="_blank" rel="nofollow noopener">polymarket.com/@0x04b6d7e930c… 700-2,400 shares per position. Multiple time frames are open simultaneously. One trade every 4.6 minutes, 24 hours a day. Both sides work. The math is the same in either case. Average entry ≈ 50¢ → average return ≈ +100% by the time of settlement.
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skydog ➤ grinding king(◕‿◕)♡
we are pouring more than 200b year into data centers for ai, while one company raised just 11m, grew human brain cells on chip, and got them to learn 3d shooter in week cortical labs placed 200000 human neurons on silicon chip and trained them to play doom. cells can move through environment, lock onto enemies, and fire in real time. their earlier pong setup needed 18 months on older hardware. doom took only week. and whole integration was built by an independent developer with no biotech background using python api. neurons handled rest that shift from 18 months down to one week says lot about where this could be heading what can it run doom crowd is missing is economics. each cl1 unit costs 35000, and full rack of 30 units uses only around 850 to 1000 watts in total. human brain runs on about 20 watts. meanwhile gpu cluster training an llm can burn through megawatts. biological compute is massively more efficient than silicon on energy, and that advantage only gets bigger at scale investor lineup also says alot. horizons ventures, blackbird, and in q tel, cia backed venture arm. in q tel does not back random science experiments. they back infrastructure that matters. 115 units already started shipping in 2025 cortical labs is now offering wetware as service through cortical cloud. developers can deploy code to living neurons remotely without ever touching lab. access is priced more like software, but hardware is running on real human brain cells derived from adult skin and blood samples doom demo is just attention hook. real bet is that biological neurons could eventually beat silicon at exact things ai still struggles with most real time adaptation under uncertainty, learning from very small amounts of data, and handling ambiguity without brute force compute real question was never whether it can run doom real question is what happens when it can run everything else
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W3BBER BEN 成功
W3BBER BEN 成功@ben_w3bber·
i started working on infinite backrooms for $octopus and realized it would be way more interesting to turn it into game powered by claude opus 4, grok, and codex so yeah, whole thing will be built around octopus coin sharing some early game assets here. i did not expect this to become full game project, but idea is just too good not to build
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mister golf? never' sleep + speedrun to heaven😇
this chinese developer ran llama 70b locally on macbook during flight and spent full 11 hours working on client projects without internet he was sitting by window on transatlantic flight with macbook pro m4 and 64 gb of memory. onboard wifi cost 25 dollars for trip, and he passed on it no cloud api no connection to anthropic or openai no internet at all just local llama 3.3 70b in bf16 and a custom orchestrator script model was running through llama.cpp at 71 tokens per second with a context window of about 60000 tokens. memory usage sat at 48.6 gib out of 64, and battery at takeoff showed 3 hours and 21 minutes before takeoff, he gave orchestrator prompt that clearly defined setup it was told it was running fully offline on single macbook with no network access that its only resources were local files in users slash dev slash work, llama 70b inference server on localhost 8080, and a battery budget of 3 hours and 21 minutes that it should process task queue line by line, draft outputs, run local evals, save artifacts into done folder, create checkpoints every 12 tasks, and stop only when the queue was empty or battery dropped below 5 percent so system had full awareness of environment it was operating in it knew there would be no outside connection for next 11 hours it knew memory and battery were limited and it knew human would not step in until plane landed system works in single loop it pulls task from queue, sends it through inference, saves output, and writes checkpoint. then it repeats same process again and again when battery drops below 5 percent, orchestrator pauses on its own, waits for laptop to switch to backup power bank, and then resumes from the latest checkpoint these are kinds of entries it was writing into the log during flight saved context checkpoint 8 of 12 with pos min 488 pos max 50118 and size 62.813 mib restored context checkpoint with pos min 488 and pos max 50118 prompt processing progress n tokens 50 out of 60818 task 37016 done tps 71 s tokens text saved to users slash dev slash work slash done slash proposal_westside.md outside window there were clouds and blue sky with no wifi anywhere on tray there was just one macbook, terminal open across two screens, and an inference server running on localhost from everything i have seen, this is one of cleanest offline ai workflows of past year 11 hours in air 0 dollars spent on wifi and full client queue finished before landing
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Ash Crypto
Ash Crypto@AshCrypto·
🇺🇸 INSANE PUMP IN THE US MARKET. $7 TRILLION added to US stocks in April. S&P 500 and Nasdaq posted their HIGHEST MONTHLY closes in 6 years, since 2020. S&P 500 jumped 11.51%, and Nasdaq jumped 15.48% in April even during an active war. Bitcoin and crypto catch up rally is due.
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real ugly/rich ₿ars
real ugly/rich ₿ars@work_bars_work·
most major global indices are starting to show weaker momentum on higher timeframes while sitting at or near all time highs. i am still in cash apart from my long term etf holdings (almost) since moving to sidelines in october, i still have not seen anything that makes me want to start buying back in. right now i do not see strong reason to enter this market
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skydog ➤ grinding king(◕‿◕)♡
most major global indices are starting to show weaker momentum on higher timeframes while sitting at or near all time highs. i am still in cash apart from my long term etf holdings. since moving to sidelines in october, i still have not seen anything that makes me want to start buying back in. right now i do not see strong reason to enter this market
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GM! this is ArcticPeng 🐧❄️
lot of founders in my dm pitched me on prediction markets i think most of them are chasing the wrong opportunity… prediction markets are now among most competitive categories on earth. @Polymarket and kalshi are raising mind-boggling numbers, and traditional players like robinhoodApp are building their own products category has incumbents with massive liquidity, strong brands, and aggressive product roadmaps, for startups building net new prediction markets, its worth asking: what is unique edge? some pitch adding new market formats as their wedge. i dont know if this is defensible. every incumbent is actively expanding into new formats. look at what @Polymarket offered just year ago compared to today they ship new products by the week. if incumbents can add your market type faster than you can build distribution, advantage evaporates others argue that better tech is wedge tech doesnt appear to be limiter on @Polymarket or kalshi platforms work, users arent leaving because of tech problem, in my opinion, more interesting opportunity is packaging prediction markets into entirely new products for underserved customers. people who would never open polymarket account but have real need to express view on some future outcome. an outdoor concert venue might want to go long on rain for sunday night to hedge cancellation risk. logistics company might want to take position on port delays. these are prediction market use cases dressed up as risk management tools, sold through channels the incumbents might not touch. and you dont have to reinvent wheel you dont need to build market, source liquidity, or design matching engine. you can plug into existing prediction market API and focus entirely on distribution and product theres fair pushback about platform risk here but polymarket is onchain and open, which makes this meaningfully less risky than building on closed platform, im not saying new prediction market will never break through. in many mature categories someone always finds way hyperliquidX broke into perps, one of most competitive verticals in crypto with many well-capitalized competitors. ai gave CoreWeave an opening in cloud but in each case there was specific structural reason new entrant won disclosure: we are polymarket investors. take above with grain of salt.
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mister golf? never' sleep + speedrun to heaven😇
uniswap team has stepped into hybrid artcoin space with $upeg organic $pepi artcoinpepi community has been waiting for moment like this and sees it as part of new meta tokens that combine nfts with game mechanics are becoming new meta
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skydog ➤ grinding king(◕‿◕)♡
absolutely amazed how our beloved crypto kols, who used to stick to niche topics, pulled strategic pivot and now bless us with deep expert geopolitical takes! truly peak synergy and horizon expansion... no need to add extra comms channels anymore, since whole knowledge ecosystem is now conveniently consolidated in one place for maximum value to our loyal community:)))
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GM! this is ArcticPeng 🐧❄️
hey guys! how projects ship in 2026, from tge to fdv getting nuked q1 2026 was kinda rough, but new tokens still kept launching heres the top 10 by fdv $FT $970m now/$1.02b peak $EDGE $670m/$733m $SENT $621m / $2.49b #SN3 $492m/ $645m $GWEI $414m/$574m $TRIA $302m /$498m $ESP $286m/$768m $ZAMA $248m/$442m $ROBO $219m/$611m $BSB $212m/$275m most q1 tokens topped basically right after listing, then dumped hard trend is obvious, launch, spike, then slow grind down
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mister golf? never' sleep + speedrun to heaven😇
i had my whole genome sequenced two years ago and completely forgot about it last week i asked my ai agent @laukiantonson to dig up my dna files it found an email from two years ago it located download link it pulled 67 gigabytes of raw dna data it rented a 32 core 64gb machine for few hours for just 5 dollars it aligned 21 million long reads to human reference genome with 99.83 percent mapped it identified 5.8 million genetic variants using two pass neural network it phased every variant and separated maternal and paternal inheritance it annotated all 5.8 million variants against clinvar pharmgkb and gnomad it corrected for population specific bias in medical literature it built health risk map across 39 conditions covering every body system it made drug compatibility guide for 141 medications with genome based response it analyzed nutrient metabolism with 71 variants tied to absorption of vitamins minerals and iron it also mapped traits ancestry going back 40000 years and even neanderthal dna breakdown 5 dollars in compute 8 hours no bioinformatician no doctor just one instruction we have genuinely reached point where an ai agent can take your raw genome and return full personal health profile in one run i honestly had no idea this was already possible
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