Oliver Sauter

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Oliver Sauter

Oliver Sauter

@oli_tools

Build mode engaged Bookmarking for AI agents & humans: @memexgarden Automate Taxes: https://t.co/899VjOPpeV Relax: https://t.co/7bLoZqww13

Berlin Katılım Ocak 2018
1.9K Takip Edilen2.1K Takipçiler
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Oliver Sauter
Oliver Sauter@oli_tools·
We rebuilt Memex, just in time for #shipmas This time focused on a singular workflow: >>> Support creators to quickly understand and capture valuable content and fully utilise their curations when writing in other tools 👉 Save anything you come across (Web, Video, Tweets, PDF, Images) 👉 Summarize and chat with everything 👉 Query everything via MCP servers in ChatGPT and others to help you draft content you saved/annotated I believe the AI slop future belongs to taste makers - the antidote to shitty content. Let's build tools for them.
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Oliver Sauter
Oliver Sauter@oli_tools·
You might be fine. the motion sickness mostly comes from stationary games that fuck with your balance. Because you have such a freedom of movement and running around and every move "matches" your brain's/inner-ear expected outcome its much less likely in these games. Also, anti-nausea pills help a lot.
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Oliver Sauter retweetledi
Anthony DiGiorgio, DO, MHA
This is the ultimate midwit healthcare take. No, 32 countries have not “figured out” universal healthcare. The UK has “free” healthcare, and roughly 1 in 3 cancer patients in England still fail to start treatment within 62 days of urgent referral. Canada has “free” healthcare, and the median wait for neurosurgical treatment is around a year. Australia has “free” healthcare, and over half the country still buys private insurance despite paying for a public universal system with their taxes. Switzerland has universal coverage, because residents are required to buy private insurance. There is no government system where benevolent bureaucrats tuck you in at night with a warm blanket and an MRI appointment. The actual lesson from other wealthy countries is not “they figured it out.” America’s system has huge problems. Our prices are insane, insurance markets are distorted, and hospital systems are cartelized. Our regulations make care more expensive than it needs to be. Yet we still guarantee access to even the 8% who don’t have coverage. We give easy routes to qualify for medicaid for those with disabilities. Pretending the rest of the world solved healthcare because they slapped the word “universal” on a rationing scheme is not analysis. It is bumper sticker policy for people who think access means having a card in your wallet while you wait a year to see the doctor you need.
daz@MetamateDaz

Free Universal Healthcare is so complicated and expensive that only 32 of the 33 wealthiest countries in the world have figured it out.

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HOSTIS
HOSTIS@hostis_black·
In April, a website that has been sued, blocked, deplatformed, and chased across thirty-seven domains over fifteen years quietly launched its own AI. Sci-Hub is the largest unauthorized library of scientific papers in human history. Ninety-five million academic papers. Tens of millions of books. Built and maintained by a single Kazakhstani neuroscientist named Alexandra Elbakyan since 2011, funded by donations, hosted on whatever country's registrar will tolerate it that year, mirrored across torrents and IPFS and Telegram bots. Elsevier sued. Sci-Hub stayed up. The American Chemical Society sued. Sci-Hub stayed up. India sued. Sci-Hub stayed up. Swedish registrar Njalla cut the .se domain in January. Sci-Hub stayed up at .al, .ru, .ee, .box, and a half-dozen .onion addresses the registrars cannot reach. Now the library has built its own intelligence. Sci-Bot launched in alpha in April. You ask it a research question. It answers, and it cites real papers from inside the corpus, with links that actually open the actual papers. The bot does not hallucinate citations. It cannot, because it only draws from papers it actually holds. The same property that the venture-funded labs have spent four years and forty billion dollars trying to engineer back into their products is a free side effect of training the model on a library that contains the books. Anthropic, OpenAI, Google, and Meta have all been sued in the past eighteen months for training their models on the same shadow libraries that Sci-Hub assembled. Meanwhile the corpus those scripts were pointed at, the corpus those models were trained on, the corpus the entire generative AI industry is built on, sat right there the whole time, free, with a search box on top. The pirates beat them to it. Sci-Bot was built on a corpus that was already free, by a team that asked no permission, charging no one, with the explicit position that the right to read scientific research is older than the cartel that decided to charge for it. The same arithmetic the medieval guilds used to keep the printing trade in approved hands. The same arithmetic Pope Paul IV used in 1559 to publish the Index Librorum Prohibitorum. The same arithmetic the Stationers' Company used in seventeenth-century London. Knowledge has always had a fence around it. The fence has always been guarded by men who did not write the books. The library answers. We never asked permission. We never had to.
HOSTIS tweet media
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Martin
Martin@martinrue·
I reached 3400 followers and I couldn’t care less. I could list about 50 of you that are actually cool. I won’t name names @oli_tools.
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Oliver Sauter
Oliver Sauter@oli_tools·
@kristinatastic There is so much going on under the surface. I wonder how many weeks of takes and experiments it took to get these mesmerising shapes.
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kristina v. saint
kristina v. saint@kristinatastic·
when you call someone a "try-hard", it's meant to be insulting. the funny thing is you only see that they're trying "too hard" because they're actually not trying hard enough. someone trying sufficiently hard looks like this: composed, centered, unconcerned. an effortless gesture. as though they didn't put a bunch of effort and money into choreography, costumes, production, filming, weeks and long days and nights on design, rehearsals and editing. trying hard is cool, the results can just be misleading
Lester@Chen

the best 3 minutes of video I've watched this year

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Lester
Lester@Chen·
the best 3 minutes of video I've watched this year
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David Perell
David Perell@david_perell·
Anne Lamott is the queen of writing teachers. Ask 100 writers for their favorite book about the craft, and her book, Bird by Bird, will top the list. Everybody who's tried to make a work of art knows how loud the inner critic can be. When struggle comes, most people try harder. But Anne says: "The point is not to try harder; it's to resist life less." Improving as a writer is about becoming more aware and paying closer attention to what's already around you, and this conversation is about how to do that. It centers around her famous writing advice: “Bird by bird, buddy. Just take it bird by bird.” Timestamps: 0:39 Bird by Bird 2:17 Why writer's block isn't real 3:36 The problem with trying harder 9:06 Every book has three drafts 14:24 Learning to observe the world 15:58 Facing your inner critic 27:59 "Help, thanks, wow" 31:16 You get three pages 35:51 Revenge = fuel 38:26 Anne's #1 writing prompt 48:53 Finding writing ideas 54:57 Writing lessons from movies 1:02:08 The ABDCE storytelling formula 1:05:37 What makes for a good ending? 1:10:57 Dealing with criticism 1:16:28 Writing to be fully alive I've shared the full conversation with Anne Lamott below. If you'd prefer to watch it, I've published it on YouTube, and you also can listen to it on Apple / Spotify. I've shared those links in the reply tweets. This is one of those bucket list interviews I've wanted to do ever since I started How I Write, and I hope you enjoy our conversation.
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Andrew D. Huberman, Ph.D.
Andrew D. Huberman, Ph.D.@hubermanlab·
The new Huberman Lab episode is out: Male Roles, Obligations and Options for Building a Fulfilling Life | Scott Galloway (@profgalloway) 0:00 Scott Galloway 2:45 Mentoring Young Men 6:16 Positive Masculinity Defined 13:37 Sponsors: David & Wealthfront 16:33 Men & Goals, Role Models, Technology; Relationships 26:34 Elon Musk; Big Tech 31:53 Varying Role Models, Flaws; Criticism, Big Tech & Incendiary Content 43:33 Sponsor: AG1 44:57 Fear, Dating & Rejection, Relationship Dynamics 53:39 Social Media Impacts on Kids; Regulation 1:06:03 Phone, Dopamine & Pseudo-OCD; Solutions 1:14:03 Sponsor: Function 1:15:14 Naval Academy & Lifestyle Protocols, Mandatory National Service 1:23:08 Alcohol Phones & Professional Considerations 1:33:43 Drinking Age; Cannabis, THC 1:37:16 Sponsor: LMNT 1:38:36 Cannabis; Porn, Addiction 1:46:14 Anger; Testosterone; Aspirational Masculinity, Toxic Femininity 1:56:25 Advocating for Young Men, Economic Opportunity, Gerontocracy 2:04:43 Generation Gaps, Retirement, "Vampire" Generation 2:10:30 Bet on Unremarkable, Universities & Vocations; Gerontocracy 2:18:48 Aging; Paying it Forward & Male Mentorship 2:25:33 Seeking Mentors, Young Men; Acknowledgments 2:33:13 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
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Bankless
Bankless@Bankless·
LIVE NOW - AI Is Destroying Every Moat, Except Bitcoin Bitcoin may be the clearest winner in an AI economy. @jvisserlabs joins Bankless to make the case for BTC as the core scarcity trade: An asset built for a world where AI compresses software, weakens old moats, and pushes investors toward what stays truly scarce. --- TIMESTAMPS 0:00 Intro 2:07 Jordi’s bold Bitcoin call 4:18 The AI endgame lands at Bitcoin 9:26 Bitcoin as the purest AI trade 12:49 SaaSpocalypse, quantum fear, and the private credit risk 20:49 AI is the new QE 26:55 Inflation, deflation, and the scarcity squeeze 34:28 What happens to stocks from here 44:24 Is AI a bubble? 48:17 The Bitcoin IPO and muted cycles 1:01:01 Has Bitcoin already bottomed? 1:09:03 The broken social pact 1:13:21 The rest of crypto, from ETH to stablecoins 1:17:29 Inside the scarcity portfolio 1:20:42 Jensen vs. Dwarkesh, China, and the chip war 1:27:42 Jordi’s AI stack and where to follow his work
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Theo - t3.gg
Theo - t3.gg@theo·
Markdown is a terrible language.
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AI Edge
AI Edge@aiedge_·
Anthropic CEO (Dario Amodei): "Coding is going away first, then all of software engineering." What do you think about this?
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