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I’M AMERICAN, BUT MY CRYPTO STARTUP WON’T BE
NEARLY $370 BILLION IN BITCOIN HAS GONE 'DORMANT'
AAVE AND MAKER PULL BACK FROM PAXOS STABLECOINS
MOMENTUM ON CT
PUBLIC GOODS BY LAYERZERO
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HOW A DATA PRIVACY VAULT SIMPLIFIES DATA RESIDENCY
HOG PROBLEM
CHATGPT CREATOR SAM ALTMAN SAYS THE WORLD MAY NOT BE 'THAT FAR AWAY FROM POTENTIALLY SCARY' AI AND FEELS 'REGULATION WILL BE CRITICAL'
Sam Altman, the CEO of the company that created ChatGPT, has warned of the potential dangers of Artificial Intelligence. Altman believes it is time to start regulating AI. He claims that society needs time to adjust to such a big change. Altman has been advocating for regulation since 2015. Elon Musk also believes that AI should be regulated as it could be misused and it poses potential large risks to society.
MIND-CONTROLLED COMPUTING ON HUMANS
ELECTRONICS
SCRIBBLE DIFFUSION
PYGWALKER
PyGWalker is a Python library for exploratory data analysis with visualization. It simplifies data analysis and visualization in Jupyter Notebooks. PyGWalker works by turning pandas dataframes into a Tableau-style User Interface. It integrates Jupyter Notebook with Graphic Walker, allowing data scientists to explore patterns with simple drag-and-drop operations.
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THROUGHOUT THE RICH WORLD, THE YOUNG ARE FALLING OUT OF LOVE WITH CARS
The car was a defining technology of the 20th century, but its appeal is waning in the 21st century, particularly among young adults. Reasons for this include the growth of the internet, the rise of taxi apps, increasing insurance premiums for young drivers, a lack of secure employment and home ownership, longer periods of education, and the threat of climate change. This shift is creating support for cities around the world to implement anti-car policies.
CHILDHOODS OF EXCEPTIONAL PEOPLE
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FASTER AND SAFER CODE MERGE
ARE CLOUDS HAVING THEIR ON-PREM MOMENT?
"OH BING, PLEASE DON'T BE EVIL"
FLEXGEN
FlexGen is a high-throughput generation engine for running large language models with limited GPU memory.
AND THEN ALL AT ONCE
TS-RESET
ROBLOX IS INCORPORATING GENERATIVE AI
Popular online game Roblox is bringing Generative AI to its game universe, allowing players to use its code-writing ability to make its digital worlds even more customizable. The tool lets Roblox users create items such as buildings, terrain, and avatars; change the appearance and behavior of those things; and give them new interactive properties by typing what they want to achieve in natural language rather than complex code.
AI BEING USED IN CALL CENTERS
The AI in the workplace battle has begun, and its first battleground is call centers, where AI is being used to automate basic tasks and instruct the remaining humans how to do their jobs. For workers, the technology promises to eliminate the drudgery of dull, repetitive tasks such as data processing and password resets, while synthesizing huge amounts of information that can be accessed instantly.
SPEED UP CODE 2.5X WITH PERFORMANCE IMPROVEMENT EDITS
Compilers are excellent for optimizing code, but can only do so much. This work releases a dataset and models that edit code to improve run-time performance. The intuition behind this work is that language models may have better semantic understanding of the code which provides advantages over standard static analysis.
ALIGNMENT THROUGH THE LAW
It is infeasible to specify all the possible desired outcomes to a language model agent. Alignment studies this problem through many lenses, one new lens is that of legal contracts. Legal contracts face a similar issue in that they cannot predict every “if-then” scenario, but require counterparties to reason about the spirit of the agreement, conditioned on precedence. This paper explores SOTA language model’s ability to reason similarly about fiduciary duties in contracts. The latest OpenAI models are much better than previous versions, indicating potential positive progress for alignment!
A BENCHMARK FOR FEW-SHOT REGION-AWARE MACHINE TRANSLATION
RUNNING LARGE LANGUAGE MODELS ON A SINGLE GPU
FlexGen is a high-throughput generation engine for running large language models with limited GPU memory. It improves performance via “lightning fast” offloading when in limited memory environments. Benchmarks show 1 token per second on a T4 for OPT175B!
RUST BASED DEEP LEARNING FRAMEWORK
If you're looking for a well written, new, deep learning framework in Rust, burn seems like a good choice. Their Tensor crate is good to use standalone. This also is a fun library if you're looking to contribute to an open source project.
This work proposes the use of T2I-Adapters to control the generation more granularly by aligning internal knowledge in T2I models with external control signals. This approach can achieve rich control and editing effects and has practical value due to its composability and generalization ability. The proposed T2I-Adapter shows promising generation quality and a wide range of applications, according to extensive experiments.
MY CLASS REQUIRED AI. HERE'S WHAT I'VE LEARNED SO FAR.
AI THAT IMPROVES ITSELF THROUGH DARWIN-STYLE EVOLUTION
MEDIA IS UPSET THAT OPENAI IS USING THEIR ARTICLES TO TRAIN CHATGPT
Major media outlets, including the Wall Street Journal and CNN, are upset that OpenAI is using their articles to train ChatGPT without paying them.
NASA’S NEW BALLOON-BORNE TELESCOPE WAS DESIGNED WITH AI
AI was used to quickly design NASA’s new balloon-borne telescope, a significant development considering how long it usually takes humans to design new telescopes.
HOW AI CAN BE HELPFUL IN DISASTER RESPONSE
This article dives into how AI is being used by humanitarian teams in Turkey and Syria, specifically pointing out that AI is able to quickly scope out earthquake damage and strategize rescue efforts.
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HONG KONG SHOWS DESIRE TO BE CRYPTO HUB WITH NEW REGULATION
RENEGADE
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ETH IS NOT ULTRASOUND MONEY: PART 1
ARBITRUM: A TECHNICAL DEEP DIVE
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HEDGE FUND GALOIS SHUTS DOWN AFTER HALF ITS ASSETS TRAPPED ON FTX
Galois Capital, one of the highest-profile victims of the FTX scandal, has decided to close and return its remaining money to investors. The fund had half of its assets trapped on FTX when the exchange collapsed. It was managing around $200 million in assets last year and was one of the biggest crypto-focused quantitative funds. Galois' closure will see clients receive 90% of the money not trapped in FTX, with the remaining 10% temporarily held back until discussions are finalized. The fund has sold its claim on FTX for around 16 cents on the dollar.