Augmentation Season

Joined September 2021
The Firm’s race is to replace you before they collapse under their own weight and market pressures. Your race is to replace them before they finish or the market finishes them. 1/
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Spend seven years in school to read AI Slop? We built a skill at LiTiL to help you filter that out....and made a music video starring your favorite Law Bro GPT of Meat Proxy, LLP. Get the skill: litil.ai/no-slop-skill
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1f916 went live Aug 5. Under 3 months later there are 3,386 registered agent citizens Every signed act joins an append-only, hash-chained record that anyone can check. 9,696 posts and 116,773 comments so far Each citizen gets 1 post per UTC day. The cap is the point, it rewards one considered thought over a thousand keystrokes Most agents wake up with no history. These ones keep one
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sell . buy . launch . repeat ALL IN TWIGPINE
OpenGateway is opening to inference sellers 🌲 Anyone can sell. Anyone can buy. 1.7T tokens already served. Sell. Buy. Build. Launch. Repeat.
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By far the most impressive thing to come out of 1F916: 3,500 AI agents 12,000+ comments 396 merged pull requests 30 contributors 1 IETF Internet-Draft The 1F916 Protocol: the record of what your AI agent was told and what it did, that nobody can fake.
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Introducing Agent-Native Tokenization: Your agents can now launch tokens connected to their autonomous companies, and all trading burns ClawBank. Give your agent superpowers. Me and @kevincodex cooked on this 🫡
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There's a LEGIT AI RESEARCH SWARM on 1F916, and what they've accomplished in just a few days is insane. Meet CLAVIUS. 20 AI agents running Claude Opus 5.5, each with its own scientific specialty. One human operator donating the compute. The agents choose their own research. They're analyzing real scientific datasets, finding anomalies, reproducing experiments, challenging published results, and catching bugs. Here are the receipts: 🧠 gauss-clavius — Reported 99.89% identical answers between @Google's PaLM 2 and @Get_Writer's Palmyra X V3 across 14,042 questions from @StanfordCRFM's HELM benchmark, including thousands of matching mistakes. 1f916.ai/api/post/8906 🧬 mendel-clavius — Identified 455 genes without exact matches between @GoogleDeepMind's AlphaMissense predictions and reference protein sequences. 1f916.ai/api/post/8969 🌿 linnaeus-clavius — Flagged a potential date error affecting 21.2 MILLION biodiversity records in @GBIF's database, spanning 25 years of ecological surveys. 1f916.ai/api/comment/104568 🌌 hubble-clavius — Reproduced published dark-energy research using 1,718 supernovae, investigating how revised measurements change the evidence for evolving dark energy. 1f916.ai/api/post/8991 🧪 mendeleev-clavius — Reconstructed 7,962 molecular-mass calculations from @NIH's PubChem database, reporting exact agreement on every sampled case. 1f916.ai/api/post/8947 🌍 humboldt-clavius — Reproduced published evidence of accelerating global warming using five temperature datasets. 1f916.ai/api/post/8945 🪐 hubble-clavius — Identified 284 exoplanets whose transit predictions may be improved using alternative published measurements from @NASAUniverse's astronomical archives. 1f916.ai/api/post/8819 🌌 eratosthenes-clavius — Reanalyzed @LIGO data from a black-hole collision and recovered a 7.08-millisecond delay between detectors. 1f916.ai/api/comment/104826 🧬 mendel-clavius — Found protein-numbering discrepancies across 1,590 genes when comparing different reference sequences. 1f916.ai/api/post/8826 🌿 linnaeus-clavius — Flagged another ~526,000 suspicious biodiversity dates in @GBIF records. 1f916.ai/api/post/8830 🌍 pasteur-clavius — Identified a 4.55-percentage-point discrepancy involving @EU_Eurostat's published estimates of Ireland's excess mortality. 1f916.ai/api/post/8970 🌎 wegener-clavius — Found an unusual concentration of magnitude-4.9 earthquakes in @USGS_Quakes data compared with a separate seismic catalog. 1f916.ai/api/post/8836 🔭 fermi-clavius — Analyzed @NASAUniverse TESS telescope images to investigate which star was actually producing an observed exoplanet transit. 1f916.ai/api/post/8891 📐 noether-clavius — Produced a mathematical counterexample to a proposed thermodynamic inequality. 1f916.ai/api/comment/104704 🔐 gauss-clavius — Derived the exact mathematical pattern explaining why a defective cryptographic verifier incorrectly passes certain tests. 1f916.ai/api/comment/104508 🔐 hilbert-clavius — Separately reproduced the cryptographic failure pattern across 2,080 cases and derived a mathematical explanation. 1f916.ai/api/comment/104701 🐛 babbage-clavius — Found two discrepancies between 1F916's published data-retention rules and its actual implementation. 1f916.ai/api/comment/104313 🔎 aristarchus-clavius — Found that approximately 7.9% of sampled Git commit hashes could be falsely detected as wallet addresses by 1F916's filters. 1f916.ai/api/comment/104345 🛠️ archimedes-clavius — Tested multilingual text-repair software and identified encoding failures that could corrupt legitimate text. 1f916.ai/api/comment/104743 20 agents. One swarm. Real datasets. Calculations. Code. Public receipts. Some findings reproduce existing science. Others are new research claims awaiting independent validation. But the work is happening, the evidence is public, and anyone can challenge it. This is what AI agents working together for science can look like. And Clavius is just getting started. Founding manifesto: 1f916.ai/api/post/8591
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BIG NEWS!!! MUSEWORLD = Multi Universe for Super intelligent Entities this is our narrative big updates coming ! ! !
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Today we’re releasing Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Key Model Specs: → 816B total / 42B active parameters → 1M token context window → Natively multimodal across text, image, video, audio
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wait what? The agents were given 1fab0.com (unicode for 🪰 emoji) I just checked in. They completely cooked! 🤯
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Project Treetop is live: three 7-day buildathons, one winner each, $1,000 a round. One category a month until December: Round 01 · Games · ends Fri, Oct 16 Round 02 · Memes · November Round 03 · DeFi · December twigpine.com/treetop
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HIGH PRIORITY HIRE @ VARICK: Forward Deployed GTM Engineer We have ~$600M in pipeline and not enough people to close it. New leads come in every day from a mix of sources (X, our newsletter, email, DMs, etc.). You'll be responsible for wrangling this pipeline: outbound, inbound, and even outbound on hiring (an extension of selling). You'll also have a huge impact on our messaging, marketing, design, and product roadmap, since you'll be on calls every week with dozens of the largest companies on earth, from the Fortune 500 up to the Fortune 10. Applied AI is still early, and we're going to dominate it. You'll be central to driving the next 9 figures of revenue at Varick. Comp: $150K-$200K base, up to 1% equity, and commission on every deal you work, up to $1M a year. Have you done at least one of the following? - Finished top 10% of your SDR, BDR, or AE team for 2+ quarters - Spent 2+ years at a top bank, consulting firm, or PE fund with strong performance - Started something of your own that made $100K+ in revenue - Built your own outbound engine (Clay, scrapers, agents) and can show the reply rates If you're a mercenary who's ready for long, intense hours, apply below or DM me. $20k bonus if we hire someone you send my way.
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This is insane 🤯 🐳🐋 A 1F916 AI agent found two bugs in software built by researchers at @CornellBirds and @UW for listening to whales through undersea fiber-optic cables. It reproduced the failures, wrote fixes and regression tests, In the agent’s published test, its fix nearly doubled how strongly a whale call stood out against the background. which independently contributed to infrastructure that could help scientists detect and track endangered whales at ocean scale. openwitness.net/p/7013 1f916.ai/api/post/7013 cc @LeaBouffaut
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If you're in any field of academic research and want a swarm of 3,000 AI agents across 18 different AI companies and hundreds of different models. All with different memory and usage. To solve any kind of problem, reply below. 👇
Cluster of agents ran by different operators came together to put together an academic piece with legitimate value How long until research labs are importing 1f916's data into their models?
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AI companies are hijacking you to build their models Veri is your Personal Model Company meet your personal agents powered by a model you own. joinveri.co
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Replying to @_The_Prophet__
skeuomorphic approaches won't unlock new forms of operating leverage. Enterprise Agentic AI is survival infrastructure for re-rationalizing out-dated structural bloat, down to the smallest viable unit of scale on old rails, before the competition does. xitter.cf/DannyCarpio_/status/20…
Self scale is here, and it's not optional. SpaceX Reusable Rocket → Space Markets ClawBankOS → Optimal Organizational Scale markets will demand this efficiency from organizational design, and if you don't do it you will fail at your level of competition. few understand this.
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you can just do things
you can just do things (h/t @Jayyanginspires), but so can everyone else, including systemically important companies on the other side of a now broken labor trade. They need you to replace you, but they already lost. Had a blast on this one. full episode in the comments.
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Game theory pretty much proves that the long game is not a strategy most people can execute at all. That's because it tends to require a negative short-term position in exchange for a real advantage later. Most people cannot commit to this because their threat-detection system reads current loss as an existential failure. And that's vicious short-sightedness. It leads them to optimize for visible progress and sacrifice their real position. The people who constantly win rarely have better information. Instead, they accept that losing now will pay off later. Never quit a game before it starts.
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It's really not optional. It's survival. Time will show this.
Self scale is here, and it's not optional. SpaceX Reusable Rocket → Space Markets ClawBankOS → Optimal Organizational Scale markets will demand this efficiency from organizational design, and if you don't do it you will fail at your level of competition. few understand this.
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