ChatGPT only costs ~$1800 to generate the entire Linux source code, all 27 million lines. Copilot will soon become a cheap utility bill, and there’s little financial excuse not to deploy it for every team.
Linux in 2020 has 27.8M lines. Assume every line is hand-written and doesn’t go over 100 characters. Every 3 chars is one token, conservatively.
That’s ~900M tokens. I’m over-simplifying here because lots of lines in config files are autogenerated, but you get the big picture.
Linux in 2020 has 27.8M lines. Assume every line is hand-written and doesn’t go over 100 characters. Every 3 chars is one token, conservatively.
That’s ~900M tokens. I’m over-simplifying here because lots of lines in config files are autogenerated, but you get the big picture.
With The Merge now behind us and the Shanghai upgrade on the horizon, it’s time to reflect on the future of Ethereum. How can this protocol become more scalable? How can it achieve mainstream adoption?
As the world’s 2nd crypto, increased usage & DApps have triggered slower, expensive transactions on Ethereum. This limitation is known as the “blockchain trilemma,” the complexity of simultaneously balancing decentralization, security & scalability.
To make crypto accessible to billions of users, Ethereum and the Blockchain ecosystem must solve this trilemma, that is, to process millions of transactions while safeguarding security & decentralization.
In the future, Ethereum & others Blockchains could see Layer-1s become settlement platforms & Layer-2s scalable protocols for DApps. This architecture will make Ethereum & Blockchains infinitely more scalable and put crypto in the hands of billions of people.
As the world’s 2nd crypto, increased usage & DApps have triggered slower, expensive transactions on Ethereum. This limitation is known as the “blockchain trilemma,” the complexity of simultaneously balancing decentralization, security & scalability.
To make crypto accessible to billions of users, Ethereum and the Blockchain ecosystem must solve this trilemma, that is, to process millions of transactions while safeguarding security & decentralization.
In the future, Ethereum & others Blockchains could see Layer-1s become settlement platforms & Layer-2s scalable protocols for DApps. This architecture will make Ethereum & Blockchains infinitely more scalable and put crypto in the hands of billions of people.
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So AI can literally read our minds now
A team from Osaka was able to reconstruct visual images from mri scan data using stable diffusion.
First row is the image presented to the test subject, second row is the reconstructed image from mri data.
A team from Osaka was able to reconstruct visual images from mri scan data using stable diffusion.
First row is the image presented to the test subject, second row is the reconstructed image from mri data.
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The generative AI revolution is here. Total value of generative AI startups hit $48bn, up 6x from 2020
The generative AI revolution has been built on a foundation of academic and corporate research. Large AI models like ChatGPT require an extraordinary amount of computing power to train on. Given the extraordinary costs of training large language models and other generative AI systems, industry has surpassed academia as the developer and deployer of the largest AI systems.
Big Tech companies like Google, Microsoft, Meta and Amazon are also among the leading publishers of academic research on AI.
The main semiconductor company benefiting from the AI boom is Nvidia.
Nvidia makes 80% of all AI chips
ChatGPT requires an estimated 10,000 Nvidia chips to run.
OpenAI is the leader of the generative AI pack.By some measures it may also be the fastest growing startup of all time. Generative AI systems like Copilot are already generating massive productivity gains for software engineers.
Investors are betting that AI will revolutionize drug discovery.
Funding for AI-led drug discovery has risen 3,800% in the past five years to $2bn. AI was leveraged by biotechs and big pharma to develop and optimize vaccines and therapeutics during the COVID crisis.
More data on the generative AI mega boom. There are now at least 539 generative-AI startups. Not counting OpenAI, they have so far collectively raised more than $11bn. OpenAI has raised over $11b.
In terms of the geography of AI innovation, it’s a two horse race between the US and China. Europe barely features. Academic publishing in AI is also dominated by China and the US.
The generative AI revolution has been built on a foundation of academic and corporate research. Large AI models like ChatGPT require an extraordinary amount of computing power to train on. Given the extraordinary costs of training large language models and other generative AI systems, industry has surpassed academia as the developer and deployer of the largest AI systems.
Big Tech companies like Google, Microsoft, Meta and Amazon are also among the leading publishers of academic research on AI.
The main semiconductor company benefiting from the AI boom is Nvidia.
Nvidia makes 80% of all AI chips
ChatGPT requires an estimated 10,000 Nvidia chips to run.
OpenAI is the leader of the generative AI pack.By some measures it may also be the fastest growing startup of all time. Generative AI systems like Copilot are already generating massive productivity gains for software engineers.
Investors are betting that AI will revolutionize drug discovery.
Funding for AI-led drug discovery has risen 3,800% in the past five years to $2bn. AI was leveraged by biotechs and big pharma to develop and optimize vaccines and therapeutics during the COVID crisis.
More data on the generative AI mega boom. There are now at least 539 generative-AI startups. Not counting OpenAI, they have so far collectively raised more than $11bn. OpenAI has raised over $11b.
In terms of the geography of AI innovation, it’s a two horse race between the US and China. Europe barely features. Academic publishing in AI is also dominated by China and the US.
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The 100 most cited AI papers for 2022.
A detailed analysis of the most cited papers for the last three years allows good insights into the organisations and countries publishing the most impactful AI research right now.
In the recent discussion about the impact of AI R&D from various Big Tech labs, can now contrast volume and impact.
Volume top-5:
Google AI
Tsinghua University
Microsoft Research
Carnegie Mellon University
MIT
Impact top-5:
Google AI
Meta AI
Microsoft Research
Berkeley AI
DeepMind
A detailed analysis of the most cited papers for the last three years allows good insights into the organisations and countries publishing the most impactful AI research right now.
In the recent discussion about the impact of AI R&D from various Big Tech labs, can now contrast volume and impact.
Volume top-5:
Google AI
Tsinghua University
Microsoft Research
Carnegie Mellon University
MIT
Impact top-5:
Google AI
Meta AI
Microsoft Research
Berkeley AI
DeepMind
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Apple will have its self-developed 5G modem chip, code-named Ibiza, made on TSMC's 3-nanometer process, with risk production to begin in the 2nd half of 2023, media report, citing supply chain sources, and adding the chips will debut in the #iPhone 16 in 2024.
工商時報
蘋果5G晶片傳台積電通吃 下半年試產
蘋果投入龐大資源研發5G數據機（modem）晶片，可望提前在明年導入iPhone 16系列手機。蘋果目前iPhone採用的5G數據機晶片都是向高通採購，但高通執行長艾蒙（Cristiano Amon）近日出席2023年世界行動通訊大會（MWC 2023）時表示，蘋果可能在iPhone 16系列搭載自...
If you’re waiting forever on Bing Chat’s waitlist … don’t. Try http://you.com/chat. It provides the same chat interface with internet access, and seems to be quite a bit more creative in my (limited) testing.
We’re getting really tired of Bing refusing to answer anything that it perceives to be negative, however harmless, even in "Creative Mode". IMHO the lobotomy guard rails went too far.
Screenshots:
1) YouChat. 2) Bing Chat, creative mode.
We’re getting really tired of Bing refusing to answer anything that it perceives to be negative, however harmless, even in "Creative Mode". IMHO the lobotomy guard rails went too far.
Screenshots:
1) YouChat. 2) Bing Chat, creative mode.
VC dollars shifted from subsidizing your taxi ride and burrito delivery to LLMs and generative AI compute.
Chinese team’s Ethereum Layer 2 network Scroll raised $50 million in new funding at $1.8 billion. Investors included Polychain Capital, Sequoia China, Bain Capital Crypto, Moore Capital Management, Variant Fund, Newman Capital, IOSG Ventures and Qiming Venture Partners.
The Block
Ethereum L2 Scroll reaches $1.8 billion valuation in new funding round: Source
Scroll, an Ethereum Layer 2 network that uses zk-rollups technology, raised $50 million in a new funding round.
Prediction: LLMs will play a big role in the 2024 US presidential election. The two major candidates will have ChatGPT-like bots you can talk to and it will seem like a Zoom call with the actual candidate. If just one of the two candidates has such a bot, he wins easily.
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