HorrorCoder

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HorrorCoder

HorrorCoder

@horrorcoder

Fullstack web developer (mostly breaking the Web), crypto pioneer, trader, hacker/maker at heart and sup and trailrun enthusiast https://t.co/UJnMagD2t3

Stationary orbit around earth Katılım Aralık 2009
183 Takip Edilen75 Takipçiler
Bryan Johnson
Bryan Johnson@bryan_johnson·
This is it. Everything learned spending millions on longevity. From: Your Immortal Unc and Auntie. To: Our Immortal nieces and nephews. 0. Sleep is the world's most powerful drug. 1. Be in your bed for 8 hours 2. Same bedtime every night, any time before midnight 3. Don’t eat right before bed 4. Calm foods for dinner 5. No screens 1 hour before bed 6. Avoid added sugar (be aware it’s in everything) 7. Avoid all things in an American convenience store 8. Avoid fried foods 9. Shoes off at the door 10. Eat whole foods, particularly veggies fruits nuts legumes berries 11. Walk a little after meals or air squats 12. Get your heart rate high routinely 13. Lift heavy things 14. Stretch daily 15. Water pik, floss, brush, tongue scrape, morning and night 16. Make an effort to drink water 17. Get sunlight when you wake up (UV is low) 18. Protect skin in midday sun 19. Stand up straight 20. See at least one friend once a week 21. Avoid plastic where you can (in all things) 22. Circulate air in rooms 23. When stressed, breathe, learn to calm your body 24. Go to the dentist 25. Avoid sitting for long times 26. Protect your hearing, the world is too loud 27. Alcohol is bad for you 28. Finish coffee before noon 29. Avoid bright lights after sunset 30. If obese, look into a GLP 31. Sleep in a cold room 32. Texting while driving is dangerous 33. Turn off all notifications 34. Limit social media use 35. Don’t smoke anything 36. If you struggle to sleep, read a physical book before bed 37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music 38. The body is a clock and loves routine. Have a daily morning and evening schedule. 39. Avoid long distance travel where you can 40. Baby steps first: incorporate new things slowly 41. Do less… most things don’t work. Bonus points if you get your blood checked. Start here, it will change your life.
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HorrorCoder
HorrorCoder@horrorcoder·
@elonmusk Because making babies became a luxury good for those few lucky Italians that have a salary above the survivability
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HorrorCoder
HorrorCoder@horrorcoder·
@bryan_johnson Ah! I had meibomian duct obstruction as one of the many consequences of long Covid. It lasted for more than 8 months. And I confirm it's important to take care of it because it can lead easily to stye, it happened me a couple of time and I still have the scar on the eyelid
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Bryan Johnson
Bryan Johnson@bryan_johnson·
I started milking my eyelids. Here's the situation. My eyes have been dry/irritated/red for the past year or so. I started using eye drops to moisten and it didn't make a difference. So I went to see an eye doctor. The source of the problem is that my meibomian glands, the tiny oil glands lining the eyelids, were clogged up. Without the meibum they secrete, the tear film on my eye evaporates in seconds which is bad for eye health. We're not sure of the cause of the dysregulation. We have few theories that we're looking into. Taking a closer look with infrared meibography, the imagery showed that my meibomian glands were congested, distorted, and partially dropped out. This is bad news because atrophied glands don't regrow! It's situations like this that makes me wonder why we do not have a better operating manual for the human body. How could I have prevented this from happening and why didn't I catch this sooner!? I did additional tests to assess the damage and my situation now. The Schirmer test (paper strip measuring tear wetting over 5 minutes) came back at 6 and 6.5 mm. A borderline reading consistent with mild dry eye. A healthy reading is typically 15 mm or above. Here's what I'm doing now to try and nurture my remaining glands back to good health: 1) Forma RF, Radiofrequency (microwave) heat applied from outside the lid, melting the obstruction. 2) LipiFlow, a device that sandwiches each eyelid: heat from the inside, pulsed pressure from the outside, squeezing the obstruction out. 12 minutes, both eyes. 3) Both capped at 41°C, not the standard 42°C, to spare eyelid collagen and elastin. No thinning skin, no premature sagging. 4) IPL around the eyes that shut down the abnormal blood vessels feeding chronic lid inflammation, the engine of MGD. 5) Manual gland milking, the doctor squeezes the lid margin between two instruments, forcing the plugs out. Hard, pasty secretions came out initially. The second and third mechanical milking the glands are returning to a normal, expected oily state. 6) Daily upkeep includes warm compresses, lid hygiene, omega-3 to keep secretions thin and glands moving. My next check in is 3 weeks form now. My doctor mentioned that meibomian gland dysfunction in her patients has increased since Covid, likely driven by the rise in screen time. When staring at screens for long stretches, people blink less frequently and less completely. Normal blink rate is roughly 15-20 times per minute but drops significantly during screen use. Incomplete blinks mean the meibomian glands don't get fully expressed, which over time contributes to gland dysfunction and evaporative dry eye. It's worth you getting checked for this and a good practice generally to make sure your eyes are in good health.
Bryan Johnson tweet media
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HorrorCoder
HorrorCoder@horrorcoder·
@mattrubens I'm both sorry and a bit upset. I don’t buy the premise that the future of coding means moving farther away from the code Scoped tasks in a visible Ide, human review and testing to me still sound more like a proper engineering workflow than asking a cloud agent to slop over me
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HorrorCoder
HorrorCoder@horrorcoder·
@bryan_johnson One advice for you: don't get redpilled by the tokenmaxxer army Slow it down. Use the clankers consciously to genereate only the really few important features, and take your time to properly review them
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Bryan Johnson
Bryan Johnson@bryan_johnson·
I got C-holed. Suffered sleep consequences. I busted my screens-off rule. Turned down socializing. Fell behind on work. Kate is now upset. AI is preposterous. As close to magic as I’ve experienced (except a seed becoming a tree and a zygote becoming a baby). It started on April 2nd when Karpathy shared LLM Knowledge bases. I wondered if this was the opening to structure the 1.5 billion data points I’ve collected on my body over the past five years. It's the most dynamic n=1 biomarker dataset in history. It was just sitting there. Next thing I knew two weeks had passed and Kate was wondering if she lost her boyfriend to Claude. I’m non-technical. Which honestly makes me sad. I wish I’d grown up with a computer or at least been around engineer culture. I didn’t know anyone technical until my early 20s. I became an entrepreneur at 21 and had my first of three kids at 25. I sold Braintree Venmo at 34. Learning to code stayed on my to-do list through all of it. The timing was never right. I was always on the outside looking in, wishing I had the skills to assemble 0's and 1's into digital structures. The exhilaration I’ve felt in the past two weeks is hard to explain. The 1.5 billion data points became a functional database, queryable, and microscope into my 70 trillion cells. The biological age of my organs updated in real-time like stock tickers. My build morphed from a knowledge base into a breathing organism that was self-learning and in sync with my heartbeat. I did this entirely on my own. It’s buggy, breaks and the data needs to be cleaned, but damn it’s cool. It became a mirror and ledger, one I could ask questions to. About my psyche, behavioral patterns, biology and protocols. Patterns across my life I couldn't previously connect. It’s made me insatiably hungry for more data. I’ve written about Autonomous Health, how cars now drive themselves and software wires itself. Health is next. My build showed me what it looks like in practice. Before Kate started protesting, she joked that she felt relieved for herself, our colleagues, and the world that I’d found something that matches my energy. That they could all express a sigh of relief. It’s true. This experience left me wondering if I’ve been bored my entire life. Never having found something that could match my work ethic, speed, intensity, and build capacity. Something that didn’t have the delays of the real world, human complications, or logistical drag. Two weeks deep in AI and I'm realizing that when people talk about AI, they're not talking about the same thing. Someone using a chat interface has a completely different opinion than someone building with it. And that chasm deepens for the people seeing what's coming next but isn't yet public. Society can't have a coherent conversation about AI because everyone's intuitions are calibrated to a different version of it. Off-the-shelf LLMs are mostly useless beyond narrow tasks. When they get you 80% there, it's often faster to do the whole thing yourself. And they're dangerous because the hallucination is hard to detect. Now you don't know what you don't know. Give them expanded context, memory, and architectures for self-reflection and autonomous learning, and you start to realize that AI is bigger than any of us can fit in our context window. I need to take Kate on a date, turn my screens off on time, and get some work done. And then properly dose C. Note: the image above is my 2021 baseline when starting this longevity project.
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vittorio
vittorio@IterIntellectus·
from 576,000 to 355,000 in 17 years for a country of ~60 million people fertility rate at 1.13, the lowest ever recorded since italy was founded i do not think people realize how bad things actually are
vittorio tweet media
World of Statistics@stats_feed

🇮🇹 Number of live births in Italy: 2008: 576,659 2009: 568,857 2010: 561,944 2011: 546,585 2012: 534,186 2013: 514,308 2014: 502,596 2015: 485,780 2016: 473,438 2017: 458,151 2018: 439,747 2019: 420,084 2020: 404,892 2021: 400,249 2022: 393,333 2023: 379,339 2024: 369,944 2025: 197,956 (Jan-Jul) According to Istat Italy

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koop
koop@Kanishk11486111·
@elonmusk European road infrastructure is a genuine stress test. Dense urban cycling, narrow medieval street grids, mixed signage conventions across countries. Supervised FSD holding up here will be more informative than another million US highway miles.
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Teslaconomics
Teslaconomics@Teslaconomics·
For anyone that thinks Tesla is sucking in EV sales… you should take a look at Q1 2026 pure EV deliveries of other companies: • Tesla: 358,023 (*official today*) • BYD: 310,389 • NIO: 83,465 • XPeng: 62,682 • GM: ~25,900 • Rivian: 10,365 • Ford: 6,860 • Lucid: ~4,985
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HorrorCoder
HorrorCoder@horrorcoder·
@outsource_ Testing this prompt lately with different models just for fun while checking browsing capabilities, never happened to me this kind of reply. Looks like this model is a woke abomination
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Eric ⚡️ Building...
Eric ⚡️ Building...@outsource_·
🚀 Imagine running Claude 4.6 Opus-level reasoning... but entirely on your own GPU with just 16GB VRAM. This 27B Qwen3.5 variant, distilled on Claude 4.6 Opus reasoning traces, delivers frontier coding power locally. It’s beating Claude Sonnet 4.5 on SWE-bench in 4-bit quantization (Q4_K_M) while slashing chain-of-thought bloat by 24%. ✅ Retains 96.91% HumanEval accuracy ✅ Perfect for agentic coding loops (no API costs or latency) 300K+ downloads on HF Link below 👇🏻
Eric ⚡️ Building... tweet media
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HorrorCoder
HorrorCoder@horrorcoder·
@BiGhOuSeRiSeN @outsource_ What almost anyone specify is that you can squeeze models of that size on 16gb gpu only by keeping a ridiculous small (and mostly useless) context size
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Bighouse
Bighouse@BiGhOuSeRiSeN·
@outsource_ Yeah I agree. So far the best but that doesn’t answer my question. How are you not timing out in basic actions running a model of that size on that amount of ram?
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HorrorCoder
HorrorCoder@horrorcoder·
@thestreamingdev Lol you are running the Q2 low-bit quantization, of course it fit on a 16gb Mac mini litterbox and run 5x faster than the average Q4 Also if you don't show the context size I'm prone to think is the lowest possible, so a quite useless gimmick
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thestreamingdev()
thestreamingdev()@thestreamingdev·
I ran a 35-billion parameter AI agent on a $600 Mac mini. Specs: M4 Mac-Mini 16GB RAM The model doesn't fit in RAM. It pages from the SSD at 30 tokens/second. On NVIDIA, the same paging gives you 1.6 tok/s. Apple Silicon gives you 30. That's 18.6x faster. No cloud. No API keys. $0/month. Here's what it can do 🧵
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can
can@marmaduke091·
This is the best use of AI videos = education that's fun You can teach anything about the history like this, can't wait for the future
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Oukham
Oukham@OPteemyst·
@elonmusk What if the world is just full of miserable people vs happy people? I think about this often.
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HorrorCoder
HorrorCoder@horrorcoder·
@ivanburazin The issue is that humans are not made for craning their necks over a phone for text typing, sometimes hours everydays. The chronic health consequences of that behaviour are already clear We indeed need a new communication interface
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Ivan Burazin
Ivan Burazin@ivanburazin·
Voice messages should die. I hate everyone who sends them. When someone sends me a voice note, I don't look at it for days. It's the most selfish form of communication. You're offloading your typing time onto my listening time. You get convenience and I get locked into your pace. Can neither skim thru nor reference them later.
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HorrorCoder
HorrorCoder@horrorcoder·
2026 is building infrastructure for the agentic web
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HorrorCoder
HorrorCoder@horrorcoder·
@growthhub_ Looks like I'm about to open a spacetime wormhole since I've both anxiety and depression
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Growth Labs
Growth Labs@growthhub_·
He really compressed 4 years of therapy into 60 seconds.
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Anthropic
Anthropic@AnthropicAI·
We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax. These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.
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HorrorCoder
HorrorCoder@horrorcoder·
@bryan_johnson “my mind was insatiably curious and wanted to deploy its sensors into the world and discover all things.” Basically the perfect description of ADHD lol
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Bryan Johnson
Bryan Johnson@bryan_johnson·
After taking several large magic mushroom doses, my brain may be psilocybin-maxxed. Mouse brains grew 10% more dendritic spines within 24 hours of a single psilocybin dose. A meaningful number lasted for weeks likely turning into stable long term neuronal connections. Another experiment showed that psilocybin loosened the brain from repetitive self-talk, sensory experience became stronger and more vivid, and became more plastic. That's what I saw. Data showed that what you think, feel and focus on during a magic mushroom experience influences which connections stabilize. What I reported feeling: “it felt like my consciousness was dialed up to 10/10.” “I felt hyper aware and hyper alive.” “I experienced sense of touch with awe.” “my mind was insatiably curious and wanted to deploy its sensors into the world and discover all things.” “My brain wanted to stare, study and marvel.” “The flavor exploded in my mouth.” Restored my perception to youthful levels, returning them to factory settings and dissolving my aged numbness.
Bryan Johnson tweet media
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HorrorCoder
HorrorCoder@horrorcoder·
@jennabrinning Interestingly Kenyans write exactly like chatgpt due to the formal English introduced during the British colony period
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ᴊᴇɴɴᴀ ʙʀɪɴɴɪɴɢ
ᴊᴇɴɴᴀ ʙʀɪɴɴɪɴɢ@jennabrinning·
wonder how many ppl get blocked for 'ai reply' when they're really just on the spectrum and write like a clanker
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