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14,500 matchesI HAVE RUN 4 WEBSITES FOR 12 MONTHS — HERE IS WHAT I LEARNED
This article recounts the author's experience running multiple websites in the last year, compiling lessons into seven key points. These lessons include differentiation in website performance, using affiliate programs, and the importance of developing diverse content.
STARTUP JOURNEY: THE DECISION TO GO FROM BUZZY TO BORING
TODAY'S YOUTH HAVE A BETTER UNDERSTANDING OF SOCIAL MEDIA THAN YOU
Young people today are using separate incognito-style social media accounts called "spam accounts" to show their authentic selves.
THE DANGEROUS MISCONCEPTION FOUNDERS HAVE ABOUT THEIR MARKET
LIGHTER’ HEADSET
SERGEY BRIN HAS A SECRET PLAN TO PUT AIRSHIPS BACK IN THE SKIES
NESTRON'S WILDLY POPULAR FUTURISTIC 275-SQUARE-FOOT PREFAB TINY HOME HAS ARRIVED IN NORTH AMERICA - SEE INSIDE THE $96,000 UNIT
HORIZON
VUE VINE
Vue Vine is another style for writing Vue components. It supports writing multiple Vue components in a single file. Vue Vine was designed to provide flexibility when managing Vue components.
SAM ALTMAN SHARES HIS OPTIMISTIC VIEW OF OUR AI FUTURE
IS CYBERSECURITY AN UNSOLVABLE PROBLEM?
LUA: THE LITTLE LANGUAGE THAT COULD
BLUESKY ROLLS OUT FEEDS WITH CUSTOM ALGORITHMS
OPENAI RAISES $175 MILLION FOR STARTUP INVESTMENT FUND
The OpenAI Startup Fund will back companies pushing the boundaries of how AI can positively impact the world and change people's lives.
APACHE BAREMAPS
LAWYER CITES FAKE CASES INVENTED BY CHATGPT, JUDGE IS NOT AMUSED
GORILLA
Gorilla allows LLMs to invoke over 1,600 APIs accurately.
TINYCORP RAISES $5M TO BUILD DEEP LEARNING SOFTWARE FOR AMDS
SAM ALTMAN SHARES HIS OPTIMISTIC VIEW OF AI
NEW SUPERBUG-KILLING ANTIBIOTIC DISCOVERED USING AI
AI was used to discover "abaucin," a new antibiotic effective against the superbug Acinetobacter baumannii. The AI, trained with thousands of known drugs, shortlisted potential antibiotics from over 6,000 untested compounds in 90 minutes. Although promising, abaucin requires further tests and clinical trials. It is expected to be available around 2030.
A NEW METHOD FOR CORRECTING ERRORS IN CONVERTING TEXT TO SQL
This paper focuses on improving how computers understand and convert everyday language into SQL, a language used for managing and manipulating databases. It introduces a new method that corrects errors by looking at whole sections of code instead of individual words, and uses a new representation for SQL queries that's closer to how pre-existing code language models work, leading to a significant improvement in accuracy.
A HYBRID MODEL COMBINING THE STRENGTHS OF TRANSFORMERS AND RNNS
This research introduces a new model called Receptance Weighted Key Value (RWKV), which brings together the efficient parallelized training of Transformers and the efficient operation of Recurrent Neural Networks (RNNs). With its unique approach of utilizing a linear attention mechanism, RWKV can be used like a Transformer or an RNN during different stages, proving equally effective as Transformers, but with more efficient use of computing resources.
IMPROVING QUESTION ANSWERING SYSTEM THROUGH USER FEEDBACK
Researchers explore how a system that extracts answers to questions can be constantly improved by feedback from human users. Through experiments involving thousands of user interactions, we found that user feedback significantly improved the system's performance over time, including its ability to adapt to new topics or areas of knowledge.
MODELS
Researchers have developed the first dataset for testing AI language models using 800 question-answer pairs based on over 350 STEM (Science, Technology, Engineering, and Mathematics) theorems. This dataset offers a new benchmark to measure an AI's ability to solve complex, university-level problems using these theorems.
LEARNING MINECRAFT WITH GPT4 WITHOUT TRAINING
GPT-4 is widely regarded as the most powerful language model to date. However, because it is closed behind an API, we can’t train it for novel tasks. Voyager uses code as the “policy representation” and uses the environment errors and performance as natural language feedback. The set of code functions then allows GPT4 to iteratively improve at mining diamond and other tasks.
ANSE
Anse is a fully optimized UI for AI chats.
THE HARD STUFF NO ONE TALKS ABOUT BUILDING ON LLMS
LAWYER CITES FAKE CASE INVENTED BY CHATGPT
OPENAI HAS NO PLANS TO LEAVE EUROPE
OpenAI has no plans to leave Europe, CEO Sam Altman said on Friday, reversing a threat made earlier this week to leave the region if it becomes too hard to comply with upcoming laws on artificial intelligence.
INTERVIEW WITH BEN GOERTZEL
Ben Goertzel, renowned AI researcher, shares his views on future AI developments and their societal implications. He talks about the possibility of conscious AIs, suggesting it may be unethical to withhold rights from them. However, he also highlights potential risks of superintelligent AIs.
GPT YOUR GDRIVE WITH LANGCHAIN
Accessing personal information dramatically reduces hallucinations for various tasks. This integration lets you connect to your Google Drive and ingest data to give to language models.
BEIJING RELEASES WHITE PAPER FOR WEB3 INNOVATION AND DEVELOPMENT
ETHEREUM, BITCOIN BALANCES ON EXCHANGES EDGES TOWARD 5-YEAR LOW
OTTR BANK CONNECT
ASTARIA IS A NOVEL NFT-BACKED LENDING PROTOCOL
Astaria, a new NFT-backed lending protocol, prioritizes borrowers by providing immediate liquidity, fixed terms, and eliminating forced liquidations. The platform employs a unique three-actor model (borrower, liquidity provider, and strategist) for NFT-backed lending. Users can borrow from various supported collections, including Moonbirds, Bored Apes, and others. To incentivize participation, liquidity providers depositing 1 ETH into the designated pool will receive an $LSD token that can be redeemed for a piece of physical blotter paper in July.
ACTUALLY* WORK
BREAKING DOWN CURVE’S LLAMMA INNOVATION
Curve has introduced a novel lending-liquidating algorithm, LLAMMA, that aims to improve the process of liquidation in DeFi lending. Rather than using "hard liquidations", which are common in overcollateralized lending, LLAMMA uses a "soft liquidation" process which gradually liquidates collateral across a price range, potentially mitigating loss for borrowers. How it works is that borrowers deposit collateral into LLAMMA, receive debt in Curve's stablecoin crvUSD, and have collateral spread across bands to create a liquidation range. The protocol relies on oracle prices and arbitrage opportunities to maintain solvency and operate the soft liquidation process.
The winning bid for Celsius involves creditors owed more than $5,000 becoming shareholders in a new company managed by Farenheit, which includes Celsius' DeFi crypto assets, loan portfolio, PE & VC investments, and mining assets. A small distribution of remaining liquid crypto will also be given. Those owed less than $5000 will receive 70% of their claims and no equity. This arrangement is a compromise as, while the creditors surrender their debt claims against Celsius, they gain a stake in the potentially profitable NewCo. If the NewCo isn’t successful though, creditors’ equity stakes will be wiped out.
CRYPTO EXCHANGES ARE FLOCKING TO HONG KONG
LIST OF TELEGRAM CHATS TO KEEP UP WITH THE LATEST IN CRYPTO
Often, the most helpful information you find in crypto is buried deep in a Discord server or Telegram chat. This thread compiles some of the best Telegram chats to follow across different topics like general roundups, news, research, small-cap coins, and more.
WHY DEFI IS BROKEN AND HOW TO FIX IT, PT 1: ORACLE-FREE PROTOCOLS
ADVENTURES IN ONCHAIN OWNERSHIP
DEBT CEILING DEAL REACHED
PARADIGM EXPANDING FROM CRYPTO TO AI
WHEN IS A STARTUP READY TO RAISE VENTURE CAPITAL THESE DAYS?
LABELBOX’S PATH TO PMF
THE Y COMBINATOR STRATEGY FOR SUCCESSFUL TECHNICAL STARTUP FOUNDERS
The author breaks down what they call the Y Combinator Mindset/Strategy to make technical startup founders successful. The technical founder handles the tech/science side of the startup, learning and doing everything from Frontend to Devops. Early stages require fast building with a focus on success, whilst avoiding overbuilding, not listening to customers and presenting theory instead of practical prototypes.