AceKillaGorilla.eth (❤️‍🔥,🦍)

@bchou7414 😂😂

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@0xJeff @get_truenorth

crypto x ai projects to keep an eye on almanak talus gensyn fraction sentient theoriq gradient nous research prime intellect pluralis templar ridges chutes sportstensor synth numinous allora vanta trading score quantum compute bitmind 404-gen eigencloud flock giza nevermined sapien vana grass virtuals creatorbid openserv elfa cod3x infinit daydream bitrobot

Don't keep climbing the same hill if you don’t even want what’s on top. @cdixon's 2009 essay "Climbing the wrong hill":

bro touched grass

real

$OKB up 29.13% on exchange-token strength and surge in derivatives activity Click to see the full story👇

0/ Autonomous agents are about to become Ethereum’s biggest power users. Guest thread from @kleffew94 and @MurrLincoln on how a long-forgotten HTTP status code, ‘402 Payment Required’ could unlock a new frontier for Ethereum: agentic commerce. 🧵

two ends of the chalant spectrum

top signal

A market, an oracle, and a dream One area where crypto has unmistakable PMF is in the creation and trading of new markets. Over the last few years, tokens, bonding curves, and AMMs have been the core primitives for this — great for minting net‑new, onchain native assets, and leading to an explosion of experimentation with memecoins, content coins, social tokens. However, we’ve only barely begun to scratch the surface of new markets enabled by another crypto primitive — perpetual futures. It makes sense why: the token deployment stack has matured over the past few years, with protocols like @dopplerprotocol continuing to push the envelope. But the permissionless perps stack is only now arriving. Enter @HyperliquidX's builder deployed perps (HIP3). Hyperliquid exposes its orderbook and matching engine so builders can launch perp markets without rebuilding an exchange from scratch. Deployers define the market (specs, oracle, leverage limits), run it (maintain the oracle), and can iterate on UX and fees. In other words, the technical challenges of creating new perp markets has been reduced to near zero, and new perp market creation is now primarily a coordination problem of flows, liquidity, and capital. If you can find a group of people who want to speculate on a number going up or down and connect it to the real world with a credible oracle, you can create a market. Market + oracle + demand. That’s the HIP3 recipe. What kinds of perps markets will we see? Zoom out and the HIP3 opportunity set looks like a distribution w/ a fat head, chunky middle, and long tail: Fat head: The obvious high-volume stuff – S&P/Nasdaq style indices (@unitxyz), major FX pairs, core commodities. These already have robust reference prices and deep market‑maker coverage. With HIP3, they can exist as perps without onchain spot inventory — all they need is a reliable index and counterparties willing to quote around it. And for many of these assets, perps are actually easier to list than spot because the oracle handles the tethering rather than needing to wrap the spot assets into tokens. Chunky middle: This is where HIP3 starts to really shine – think private companies (@ventuals), luxury goods baskets, GPU compute cost per hour, or a city’s median price per sqft for real estate. The common trait is that a significant number of people and/or pools of capital care about a number that updates in the world and can be indexed. They want to get exposure, hedge, or speculate. Long tail: The permissionless frontier – the price per oz of bluefin tuna in NYC, the resale price of a Tesla Model 3, the Google Trend score of an e-commerce brand, the average nightly rate of a 5 star hotel in London, or other more wacky ideas. This is the area of experimentation where few CEXs would be willing to venture out into. But it's where builders with a strong grasp of a niche may see latent demand where others don't. One standard, many markets Across this entire spectrum, HIP3 keeps the mental model simple. The oracle ties the perp to a reference number, funding nudges the perp towards that number over time, and margin tiers shape the risk that traders can take on. The deployer is accountable for the oracle definition + ongoing publication and puts up a meaningful HYPE stake, which gives traders a credible assurance that markets are being run with clear responsibilities. And because operators have levers for differentiation, we should expect many parallel subdexes to spring up on Hyperliquid’s rails – each competing on price, depth, and UX. This competition will be great for end users. Why is this bullish for Hyperliquid? While HIP3 is an amazing unlock for builders, it’s also very good for Hyperliquid. Successful HIP3 markets add flow, depth, and attention to the network. The standard ascribes a meaningful share of fees back to the protocol itself, reinforcing the HYPE value accrual flywheel. HIP3 commoditizes the exchange layer and shifts innovation to market design and demand origination. Instead of a single venue trying to list everything, Hyperliquid becomes the base infrastructure for many specialized venues. Expect an explosion of markets and rapid natural selection by users and market-makers for which venues and perps they want to trade. And there’s a cultural unlock here, too. Anyone with a market and demand thesis + the ability to index it can build an exchange for users to express directional views. The next billion users Hyperliquid’s HIP3 opens up a vast design space that didn’t exist before — markets that appeal more broadly to normies because they're tethered to *something* in the real world. Undoubtedly some markets will fail; that’s fine. But the winners across the fat head, chunky middle, and long tail will compound volume, liquidity, and attention back into the Hyperliquid ecosystem. As an industry, we started with tokens, bonding curves, and AMMs to create new internet native assets — some of these experiments have worked out spectacularly. For most others, the jury is still out. With the permissionless primitive of perps, we can create new internet native markets for virtually anything that can be measured. It'll be exciting to see what builders come up with. HIP3RLIQUID

@0xjeff @almanak @Cod3xOrg @get_truenorth @ReiNetwork0x @HeyAnonai @GigabrainGG @senpi_ai @Velvet_Capital @xFractalDotFun @bankrbot @get_truenorth be carrying the dyor efforts

Looking to start revisiting & testing out more AI-native apps So far I have these on my list - @almanak - @Cod3xOrg - @get_truenorth - @ReiNetwork0x - @HeyAnonai - @GigabrainGG - @senpi_ai - @Velvet_Capital - @xFractalDotFun - @bankrbot Any more I should try?

Dudes reply “banger” to your tweet then steal it Couldn’t be me

im a genius i built a web scraping/automation tool that does everything in < 1.0seconds its 920% faster than browser base proof: benchmarked against browser base's own demo (watch the video) you can use this with literally everything. im a genius live right now @ parse .bot

first time founders with zero funding and mvp asking you to sign an nda for their idea is jokes

27 predictions for 2024 🧵

This year, I watched AI change the world in real time. From what happened, I have no doubts that the coming years will be the most transformative period in the history of humankind. Here’s the full timeline of AI in 2023 (January-December): January 15: ChatGPT becomes the fastest growing consumer app in history. January 27: Microsoft Invests $10 Billion in OpenAI. February 10: Microsoft reveals ‘The New Bing’. February 17: Animated AI videos go mainstream with Linkin Park debuting an AI-generated music video. February 22: Spotify introduces their AI powered feature called “DJ”. February 24: AWS partners with Hugging Face. February 28: Snapchat launches their AI chatbot ‘My AI’. March 1: OpenAI launches ChatGPT and Whisper API’s. March 7: ChatGPT Makes it on to South Park. March 17: OpenAI launches GPT-4. March 21: AI creates cancer treatment in 30 days. March 22: Google unleashes Bard, and the stock tanks. March 22: Adobe launches AI image generator Adobe Firefly. March 24: OpenAI releases ChatGPT Plugins and everyone thinks it's the ‘App Store of AI’. March 24: Canva launches new AI tools at Canva Create. March 28: AI Pope Francis goes viral. March 28: Zoom released AI-powered assistant, Zoom IQ. March 30: Elon Musk and AI experts call for a 6 month pause developing AI systems more powerful than GPT-4. April 3: Italy bans ChatGPT. April 6: Meta releases "Segment Anything Model" for AI to extract objects within images or videos. April 11: Alibaba reveals their ChatGPT Rival “Tongyi Qianwen”. April 13: AutoGPT and open-source Autonomous agents make waves across social media. April 14: Amazon and AWS release Bedrock and CodeWhisperer. April 17: Elon Musk starts xAI. April 21: Google Brain and Google DeepMind join forces. April 25: Grimes approves creating AI-generated songs using her voice. April 25: AI discovers a new planet. May 2: Geoffrey Hinton quits Google to warn the world of the dangers of AI. May 3: Inflection AI releases Pi. May 10: Meta introduces ImageBing, a new AI research model. May 11: Google announces major AI advancements at I/O. May 12: Anthropic extends Claude’s token window to 100,000. May 19: OpenAI launches a free ChatGPT iOS app. May 19: Apple bans employees from using ChatGPT. May 24: Microsoft unveils Windows 11 AI Copilot, Bing plugins, Bing Browsing, and Windows Terminal. May 26: Swiss scientists rebuild spinal cord with AI. June 2: NVIDIA Research develops Neuralangelo for 3D reconstruction from 2D video clips. June 6: Apple reveals Apple Vision Pro at WWDC. June 13: German church holds 300+ person AI-powered service. June 19: Meta releases new text-to-speech AI called Audiobox. June 22: 100,000+ ChatGPT accounts breached. June 27: Breakthrough AI research can understand and decode whale language. June 28: Baidu introduces ERNIE 3.5. June 29: ChatGPT unleashes mobile search via Bing. July 3: Humane unveil the ‘AI Pin’ to replace smartphones. July 4: Midjourney launches new ‘Panning’ feature. July 6: Inflection AI develops a $880M AI supercomputer. July 6: OpenAI introduces Super alignment to address the superintelligence alignment problem. July 10: AI shows potential in treating brain cancer. July 12: Anthropic launches Claude 2. July 17: Hollywood goes on strike against AI. July 19: Meta and Microsoft release Llama 2. July 20: Apple enters the AI frenzy with ‘Apple GPT‘. July 21: ChatGPT update allows ‘custom instructions’. July 26: Japan’s Ministry of Economy, Trade, and Industry plans to develop an AI supercomputer. July 27: Stability AI releases SDXL 1.0. August 7: Tim Cook says Apple is building AI into every product. August 11: HeyGen announced the 2.0 of their AI-generated avatar clones. August 23: Meta open-sources an AI model called SeamlessM4T. August 24: Brain implant lets paralyzed speak with AI. August 30: Tesla launches a powerful $300 million AI supercomputer. September 4: Researchers create an AI model that predicts how a chemical will smell. September 8: Microsoft and Paige team up on cancer detecting AI. September 13: Coke creates a new mystery flavor with AI. September 20: Google announces Bard Extensions for Workspace. September 21: OpenAI announced DALL-E 3. September 22: Microsoft reveals Copilot, “Your everyday AI companion“. September 26: ChatGPT goes multimodal with voice and images. September 27: CIA builds proprietary AI system for intel. September 28: OpenAI announces the return of ChatGPT browsing. September 29: Mistral AI unveils open-sourced 7B language model. October 3: Rewind introduces Rewind Pendant, a wearable device that captures real-world conversations. October 4: LinkedIn reveals new AI tools across products. October 13: Meta’s AI persona chatbots go live, and face backlash. October 16: Ukraine deploys the first-ever autonomous attack drones on the battlefield. October 16: AI deciphers the first ever words from a burned Herculaneum scroll. October 20: North Korea experiments with AI cyber attacks. October 23: NVIDIA breakthrough enables robots to teach themselves. October 26: Researchers in China develop a system called ‘Woodpecker’ for multimodal AI models. November 6: Elon Musk's xAI launches Grok. November 7: OpenAI reveals GPT Builder, GPT-4 Turbo, Assistants API and more at DevDay. November 9: Amazon invests in training a massive language model codenamed 'Olympus'. November 13: Hollywood actors strike ends with deal on AI use. November 14: OpenAI confirms it's working on GPT-5 and advanced AI agents. November 16: Forward Health launches AI-powered medical pods. November 17: YouTube and Google DeepMind reveal a new AI model called ‘Lyria’. November 17: Sam Altman fired as CEO of OpenAI. November 22: Sam Altman rehired as CEO of OpenAI. November 23: Inflection AI releases Inflection-2. November 27: The Pentagon approves “Replicator,” a new initiative for autonomous drones and systems. November 29: Pika launches Pike 1.0, a text-to-video generator. November 30: Google DeepMind's ‘GNoME’ generates recipes for new inorganic compounds. December 1: Microsoft invests $3.2B in UK AI infrastructure. December 6: Google DeepMind reveals Gemini. December 12: French startup Mistral AI releases Mixtral. December 13: Microsoft Research releases Phi-2. December 20: Microsoft partners with Suno AI for AI song generation. December 22: Apple research demonstrates AI techniques for iPhones. December 27: OpenAI in talks to raise additional funding at a $100B+ valuation. December 28: The New York Times sues Microsoft and OpenAI for copyright infringement.

24 AI coins to take into 2024 (put these on your watchlist and print money): 🧵👇

My current Ethereum ecosystem cheat sheet✍️ If $ETH leads Q1/Q2 next year this list could be useful: (token | mcap | catalysts) ------------------- L2s $OP | $3.5b | EIP4844, Superchain growth $ARB | $2b | EIP4844, STIP round 2? $MNT | $2b | EIP4844, general ecosystem growth $METIS | $437m | EIP4844, $300m ecosystem grant, sequencer pool launch $CANTO | $208m | RWA narrative Upcoming L2 tokens: Starknet Eclipse zkSync Manta Scroll Linea Blast Base? ------------------- Derivatives $SNX | $1.37b | V3, Infinex, Andromeda launch $DYDX | $885m | V4 migration, V4 incentive program $GMX | $478m | V2 growth $RBN | $279m | conversion to $AEVO $PENDLE | $121m | V3 next year $VRTX | $62m | general growth $RBX | $54m | general growth Upcoming tokens: Hyperliquid IntentX ------------------- Liquid Staking $LDO | $2.5b $RPL | $1.5b $BTRFLY | $53m $SD | $30m | restaking All liquid staking protocols are pretty clear betas to ETH as their revenue increases as ETH appreciates. Upcoming tokens: EigenLayer Swell Kelp ------------------- DEXs $UNI | $5.8b | Uniswap V4 $CAKE | $1b $CRV | $691m $1INCH | $500m $JOE | $217m $VELO | $34m | OP beta $GRAIL | $33m | ARB beta General sector catalyst: $JUP launching at a multi billion $ valuation in Q1 ------------------- Oracles $LINK | $9.5b | LINK staking $TRB | $513m $PYTH | $492m $BAND | $266m ------------------- Stablecoin/RWA $MKR | $1.46b | Maker endgame $FXS | $711m | Fraxchain, bAMM ------------------- Lending $AAVE | $1.8b | shift to revenue focus next year $RDNT | $137m | increased omnichain functionality ------------------- Gambling $RLB | $449m $WINR | $39m like/RT if you found this useful. What else should be added to this list? Not financial advice - I hold some of these tokens!

13 Predictions for 2024 Written in collaboration with @yoshi_eth2 Trust me, you'll want to bookmark this for later