Code Interpreter Beta (rolling out to ChatGPT Plus) is quite powerful. It's your personal data analyst: can read uploaded files, execute code, generate diagrams, statistical analysis, much more. I expect it will take the community some time to fully chart its potential.
To turn on:
In ChatGPT on bottom left click on name > Settings > Beta features > turn on Code Interpreter.
To turn on:
In ChatGPT on bottom left click on name > Settings > Beta features > turn on Code Interpreter.
www.oneusefulthing.org
What AI can do with a toolbox... Getting started with Code Interpreter [Now called Advanced Data Analytics]
Democratizing data analysis with AI
Google's medical AI chatbot is already being tested in hospitals
Google’s Med-PaLM 2, an AI tool designed to answer questions about medical information, has been in testing at the Mayo Clinic research hospital, among others, since April. Med-PaLM 2 is a variant of PaLM 2, which was announced at Google I/O in May this year. PaLM 2 is the language model underpinning Google’s Bard.
Google’s Med-PaLM 2, an AI tool designed to answer questions about medical information, has been in testing at the Mayo Clinic research hospital, among others, since April. Med-PaLM 2 is a variant of PaLM 2, which was announced at Google I/O in May this year. PaLM 2 is the language model underpinning Google’s Bard.
The Verge
Google’s medical AI chatbot is already being tested in hospitals
Google says doctors prefer its answers, even if they’re less accurate.
Meta commits to dedicate three engineer-years to implement the removal of the GIL from Python and fix upcoming compatibility and performance issues with it.
All this dependent on whether the Steering Council accepts PEP 703.
This is way more impactful than it sounds.
Python executes on a single thread regardless of how many CPU cores you have. Removing the notorious GIL (Global Interpreter Lock) means that Python can finally run true concurrency.
All this dependent on whether the Steering Council accepts PEP 703.
This is way more impactful than it sounds.
Python executes on a single thread regardless of how many CPU cores you have. Removing the notorious GIL (Global Interpreter Lock) means that Python can finally run true concurrency.
Discussions on Python.org
A fast, free threading Python
I don’t think that is true. If free threading is possible, the cat will be out of the bag, even developers that only cares about single threaded work will still be affected by threading issues. If a library starts a thread in the background for whatever reason…
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Metaverse_Money_Findings_on_the_U_S_Market_1688989912.pdf
1.1 MB
PayPal released a report about metaverse
The average metaverse user in the U.S. has money stored across 5 different metaverse platforms. And 79% of them have digital assets spread across more than one metaverse world.
Here are some key takeaways from a recent study on how money operates in the metaverse:
- In the U.S., 37.6 million people are already spending more than $28 billion a year in the metaverse.
- 95% of all survey respondents say it is very or somewhat important to be able to use a common currency across metaverse worlds.
- With the average metaverse user holding a median of $500 and an average of $7,335 in the metaverse, there's a clear need for greater security around money in the metaverse.
- 80% of metaverse users currently use cryptocurrency, and 56% of metaverse users expect their use of crypto to increase in the next 5 years.
- 84% of survey respondents say they're interested in at least one type of creating activity in the metaverse, with trading/selling digital goods being the most common type of income-generating activity.
- 95% of the survey sample believe creating in the metaverse would give them access to buyers they would not have in the real world.
It's time to acknowledge that the metaverse is the new business frontier.
Whether it's creating digital goods, building on the blockchain, or trading digital assets, there are countless opportunities to generate income and reach new audiences.
The average metaverse user in the U.S. has money stored across 5 different metaverse platforms. And 79% of them have digital assets spread across more than one metaverse world.
Here are some key takeaways from a recent study on how money operates in the metaverse:
- In the U.S., 37.6 million people are already spending more than $28 billion a year in the metaverse.
- 95% of all survey respondents say it is very or somewhat important to be able to use a common currency across metaverse worlds.
- With the average metaverse user holding a median of $500 and an average of $7,335 in the metaverse, there's a clear need for greater security around money in the metaverse.
- 80% of metaverse users currently use cryptocurrency, and 56% of metaverse users expect their use of crypto to increase in the next 5 years.
- 84% of survey respondents say they're interested in at least one type of creating activity in the metaverse, with trading/selling digital goods being the most common type of income-generating activity.
- 95% of the survey sample believe creating in the metaverse would give them access to buyers they would not have in the real world.
It's time to acknowledge that the metaverse is the new business frontier.
Whether it's creating digital goods, building on the blockchain, or trading digital assets, there are countless opportunities to generate income and reach new audiences.
A new device to communicate with the brain using light
Construction of a Flexible optogenetic device for multisite and multiregional optical stimulation through flexible µ-LED displays on the Cerebral Cortex
Construction of a Flexible optogenetic device for multisite and multiregional optical stimulation through flexible µ-LED displays on the Cerebral Cortex
Wiley Online Library
Construction of a Flexible Optogenetic Device for Multisite and Multiregional Optical Stimulation Through Flexible µ‐LED Displays…
A wireless fully flexible device consisting of multiple high-density μ-LED displays and flexible optical fibers for multisite and multiregional optogenetics is presented. The μ-LED displays feature a...
Gamercraft raises $5 Million for AI-powered skill- gaming platform
VentureBeat
Gamercraft raises $5 Million for AI-powered skill- gaming platform
Missed the GamesBeat Summit excitement? Don't worry! Tune in now to catch all of the live and virtual sessions here. Gamercraft has raised $5 million in funding for its AI-competitive gaming platform for skill-based console and PC gaming. The Miami-based…
Medical chatbots proposed to be approved as medical devices. Humans next.
Nature
Large language model AI chatbots require approval as medical devices
Nature Medicine - Chatbots powered by artificial intelligence used in patient care are regulated as medical devices, but their unreliability precludes approval as such.
Llion Jones the last co-author of the Transformer paper “Attention Is All You Need” who’s still at Google, confirmed to Bloomberg that he will leave Google Japan later this month. He said he plans to start a company after taking time off.
In the intervening years, the paper’s authors have launched notable AI startups, including Cohere, AdeptAI Character AI. With Llion Jones’ departure, all 8 authors have all finally now left Google!
In the intervening years, the paper’s authors have launched notable AI startups, including Cohere, AdeptAI Character AI. With Llion Jones’ departure, all 8 authors have all finally now left Google!
This week in bio:
1. 100 billion parameter protein language model (the largest ever trained), trained for 6+ months on 96 NVIDIA A100s (likely costing millions of dollars) to achieve SOTA on a range of protein optimization tasks
2. wildDISCO, a new technique for whole-body cell mapping in mouse using off-the-shelf antibody immunolabeling, enabling a new method for building cellular and structural maps in various disease states
3. adopting product management methodologies from tech to the wet lab to improve research productivity
4. an overview of different subtypes of diffusion models in generative chemistry for drug design, and a call for more rigorous evaluations beyond simplified metrics that encourage "SOTA leaderboard" climbing rather than truly moving the needle on developing more drug-like molecules
5. single-photon camera for the the non-invasive measurement of neural activity
1. 100 billion parameter protein language model (the largest ever trained), trained for 6+ months on 96 NVIDIA A100s (likely costing millions of dollars) to achieve SOTA on a range of protein optimization tasks
2. wildDISCO, a new technique for whole-body cell mapping in mouse using off-the-shelf antibody immunolabeling, enabling a new method for building cellular and structural maps in various disease states
3. adopting product management methodologies from tech to the wet lab to improve research productivity
4. an overview of different subtypes of diffusion models in generative chemistry for drug design, and a call for more rigorous evaluations beyond simplified metrics that encourage "SOTA leaderboard" climbing rather than truly moving the needle on developing more drug-like molecules
5. single-photon camera for the the non-invasive measurement of neural activity
Decodingbio
BioByte 37: cameras to non-invasively measure neural activity, deep learning for spatial transcriptomics, whole body cellular mapping…
Welcome to Decoding Bio, a writing collective focused on the latest scientific advancements, news, and people building at the intersection of tech x bio. If you’d like to connect or collaborate, please shoot us a note here or chat with us on Twitter: @
This is HUGE. Keras launching Keras Core, a new library that brings the Keras API to JAX and PyTorch in addition to TensorFlow.
It enables you to write cross-framework deep learning components and to benefit from the best that each framework has to offer.
It enables you to write cross-framework deep learning components and to benefit from the best that each framework has to offer.
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Claude-2, Anthropic's shot at GPT-4, has arrived
It's cheaper than GPT-4 and far stronger in reasoning & coding than its older self.
You can try it out at claude.ai
Things you should know:
1. On standard exams, it's not quite at GPT-4 yet but catching up fast compared to v1.3. Winner in bracket:
GRE verbal: 165 vs 169 (GPT-4 wins)
GRE writing: 5 vs 4 (Claude)
GRE quantitative: 154 vs 163 (GPT-4)
USMLE: ~67 vs ~85 (GPT-4)
Bar: 76.5 vs 75.7 (Claude)
2. On reasoning benchmarks,
HumanEval coding: 71.2% vs 67% (Claude wins). Meanwhile GPT-3.5 only scores 48%. Claude's coding ability has improved dramatically.
GSM-8K grade-school math: 88% vs 92% (GPT-4). Claude improves from 85.2 -> 88 vs its prior version.
3. Claude 2 (100K context) is 4-5x cheaper than GPT-4-32K! Prompt tokens cost $11 vs $60/Million, and completion costs $32 vs $120/M, assuming similar tokenization length.
4. Claude-2's knowledge cutoff is in early 2023, while GPT-4 is Sept. 2021. So it's got much fresher memory.
5. Lobotomy is very aggressive. Claude 2 is 2x better at giving harmless responses than v1.3. Anthropic worked with the Alignment Research Center (ARC) and external red teamers for safety audits.
6. 10% of training data is non-English.
7. Claude's long context means that you can upload entire papers and code files to ask for summary or bug fix.
Big caveat on the standardized exam: the prompting protocols may be very different, and there're no error bars on a large number of exams. The comparison may not be statistically significant.
It's cheaper than GPT-4 and far stronger in reasoning & coding than its older self.
You can try it out at claude.ai
Things you should know:
1. On standard exams, it's not quite at GPT-4 yet but catching up fast compared to v1.3. Winner in bracket:
GRE verbal: 165 vs 169 (GPT-4 wins)
GRE writing: 5 vs 4 (Claude)
GRE quantitative: 154 vs 163 (GPT-4)
USMLE: ~67 vs ~85 (GPT-4)
Bar: 76.5 vs 75.7 (Claude)
2. On reasoning benchmarks,
HumanEval coding: 71.2% vs 67% (Claude wins). Meanwhile GPT-3.5 only scores 48%. Claude's coding ability has improved dramatically.
GSM-8K grade-school math: 88% vs 92% (GPT-4). Claude improves from 85.2 -> 88 vs its prior version.
3. Claude 2 (100K context) is 4-5x cheaper than GPT-4-32K! Prompt tokens cost $11 vs $60/Million, and completion costs $32 vs $120/M, assuming similar tokenization length.
4. Claude-2's knowledge cutoff is in early 2023, while GPT-4 is Sept. 2021. So it's got much fresher memory.
5. Lobotomy is very aggressive. Claude 2 is 2x better at giving harmless responses than v1.3. Anthropic worked with the Alignment Research Center (ARC) and external red teamers for safety audits.
6. 10% of training data is non-English.
7. Claude's long context means that you can upload entire papers and code files to ask for summary or bug fix.
Big caveat on the standardized exam: the prompting protocols may be very different, and there're no error bars on a large number of exams. The comparison may not be statistically significant.
Today, the European Commission has adopted a new strategy on Web 4.0 and virtual worlds to steer the next technological transition and ensure an open, secure, trustworthy, fair and inclusive digital environment for EU citizens, businesses and public administrations.
"The Web 4.0 and virtual worlds will bring benefits for health, contribute to the green transition and better anticipate natural disasters. But we need to have people at the centre and shape it according to our EU digital rights and principles, to address the risks regarding privacy or disinformation. We want to make sure Web 4.0 becomes an open, secure, trustworthy, fair and inclusive digital environment for all." - Margrethe Vestager, Executive Vice-President for a Europe Fit for the Digital Age.
"The Web 4.0 and virtual worlds will bring benefits for health, contribute to the green transition and better anticipate natural disasters. But we need to have people at the centre and shape it according to our EU digital rights and principles, to address the risks regarding privacy or disinformation. We want to make sure Web 4.0 becomes an open, secure, trustworthy, fair and inclusive digital environment for all." - Margrethe Vestager, Executive Vice-President for a Europe Fit for the Digital Age.
European Commission - European Commission
Press corner
Highlights, press releases and speeches
This is HUGE. Max Hodak the founder of Science Corp introduced current revision of the science eye implant
https://science.xyz/products/vision
https://science.xyz/products/vision
The United States announced the first criminal case involving attack on a smart contract operated by decentralized exchange.
AHMED, 34, of New York, New York, is charged with wire fraud and money laundering, each of which carry a maximum sentence of 20 years in prison.
Shakeeb Ahmed, who was a senior security engineer at an international technology company, used his expertise to defraud the exchange in solana and its users and steal approximately $9 million in cryptocurrency. After he stole the fees he never legitimately earned, AHMED had communications with the Crypto Exchange in which he decided to return all of the stolen funds except for $1.5 million if the Crypto Exchange agreed not to refer the attack to law enforcement.
Though the DEX hasn’t been named in the indictment, it may be related to the Solana-based liquidity protocol Crema Finance hack that happened at that time last year, when a thief made away with $9 million in digital assets in a flash loan attack but then returned most of the cash.
AHMED, 34, of New York, New York, is charged with wire fraud and money laundering, each of which carry a maximum sentence of 20 years in prison.
Shakeeb Ahmed, who was a senior security engineer at an international technology company, used his expertise to defraud the exchange in solana and its users and steal approximately $9 million in cryptocurrency. After he stole the fees he never legitimately earned, AHMED had communications with the Crypto Exchange in which he decided to return all of the stolen funds except for $1.5 million if the Crypto Exchange agreed not to refer the attack to law enforcement.
Though the DEX hasn’t been named in the indictment, it may be related to the Solana-based liquidity protocol Crema Finance hack that happened at that time last year, when a thief made away with $9 million in digital assets in a flash loan attack but then returned most of the cash.
Decrypt
Feds Charge Engineer in First-Ever Decentralized Exchange Hack Case - Decrypt
U.S. Attorney Damian Williams today said that Shakeeb Ahmed "used his expertise to defraud" and allegedly steal $9 million in crypto.
Cryptoassets. The BIS released a report entitled ‘The crypto ecosystem: key elements and risks’, which was submitted to the G20 Finance Ministers and Central Bank Governors.
Highlights
This report reviews the key elements of the crypto ecosystem and assesses their structural flaws.
There are three main takeaways.
1. due to underlying economic incentives, the crypto ecosystem is characterised by congestion and high fees, which lead to fragmentation.
2. despite an original ethos of decentralisation, crypto and decentralised finance (DeFi) often feature substantial de-facto centralisation, which introduces various risks.
3. while DeFi mostly replicates services offered by the traditional financial system, it amplifies known risks.
Moreover, as DeFi does not finance activity in the real economy, its growth is driven by the speculative influx of new users, with substantial risks to investors.
The report outlines policy options to mitigate the multiple risks crypto poses to investors, the traditional financial system and the economy at large.
Highlights
This report reviews the key elements of the crypto ecosystem and assesses their structural flaws.
There are three main takeaways.
1. due to underlying economic incentives, the crypto ecosystem is characterised by congestion and high fees, which lead to fragmentation.
2. despite an original ethos of decentralisation, crypto and decentralised finance (DeFi) often feature substantial de-facto centralisation, which introduces various risks.
3. while DeFi mostly replicates services offered by the traditional financial system, it amplifies known risks.
Moreover, as DeFi does not finance activity in the real economy, its growth is driven by the speculative influx of new users, with substantial risks to investors.
The report outlines policy options to mitigate the multiple risks crypto poses to investors, the traditional financial system and the economy at large.
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Roblox is coming to Meta QuestVR. Open Beta for developers coming soon on App Lab.
Elon Musk introducing xAI
This is his answer to OpenAI and competitors, built on employees who just left OpenAI, Microsoft, Google, DeepMind, etc.
The iconostasis of scientists is honorary, although somewhat strange. There are also many people on the list who are known in circles where issues of ethics and safety of AI are discussed.
Separately, it is noted that xAI is not associated with X Corp in any way, i.e. twitter. But this is a hoax, because even on the first page, all the links lead to the twitters of the participants, and not to their other pages.
This is his answer to OpenAI and competitors, built on employees who just left OpenAI, Microsoft, Google, DeepMind, etc.
The iconostasis of scientists is honorary, although somewhat strange. There are also many people on the list who are known in circles where issues of ethics and safety of AI are discussed.
Separately, it is noted that xAI is not associated with X Corp in any way, i.e. twitter. But this is a hoax, because even on the first page, all the links lead to the twitters of the participants, and not to their other pages.
x.ai
Understand the Universe | xAI
xAI is an AI company with the mission of advancing scientific discovery and gaining a deeper understanding of our universe.
Researchers found that age reversal is possible with chemical cocktails, a step towards affordable whole-body rejuvenation
This new discovery offers the potential to reverse aging with a single pill, with applications ranging from improving eyesight to effectively treating age-related diseases.
The team identified six chemical cocktails (and more now) that restore NCC and genome-wide transcript profiles to youthful states and reverse transcriptomic age in less than a week
The team's findings build upon the discovery that genes called Yamanaka factors, can convert adult cells into induced pluripotent stem cells (iPSCs). This Nobel Prize-winning discovery raised the question of whether it might be possible to reverse cellular aging without causing cells to become too young & turn cancerous.
Possible to reverse cellular aging and restore youthful functions to tissues in vivo, without uncontrolled cell growth by virally-introducing a subset Yamanaka genes into cells, Oct4, Sox2 and Klf4. This appears to be remarkably safe in animals.
Studies on the optic nerve, brain tissue, kidney, and muscle have shown promising results, with improved vision and extended lifespan in mice and, recently, in April of this year, improved vision in monkeys.
Preparations for human clinical trials of our first age reversal gene therapy are ongoing.
This new discovery offers the potential to reverse aging with a single pill, with applications ranging from improving eyesight to effectively treating age-related diseases.
The team identified six chemical cocktails (and more now) that restore NCC and genome-wide transcript profiles to youthful states and reverse transcriptomic age in less than a week
The team's findings build upon the discovery that genes called Yamanaka factors, can convert adult cells into induced pluripotent stem cells (iPSCs). This Nobel Prize-winning discovery raised the question of whether it might be possible to reverse cellular aging without causing cells to become too young & turn cancerous.
Possible to reverse cellular aging and restore youthful functions to tissues in vivo, without uncontrolled cell growth by virally-introducing a subset Yamanaka genes into cells, Oct4, Sox2 and Klf4. This appears to be remarkably safe in animals.
Studies on the optic nerve, brain tissue, kidney, and muscle have shown promising results, with improved vision and extended lifespan in mice and, recently, in April of this year, improved vision in monkeys.
Preparations for human clinical trials of our first age reversal gene therapy are ongoing.
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a16z released a massive open-source companion AI repo on GitHub
Chatbot companions are taking off. They have a clear product-market fit.
Chatbot companions are taking off. They have a clear product-market fit.
GitHub
GitHub - a16z-infra/companion-app: AI companions with memory: a lightweight stack to create and host your own AI companions
AI companions with memory: a lightweight stack to create and host your own AI companions - a16z-infra/companion-app
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NASA uses VR and AI to create virtual data worlds
As part of its data visualization research, the US space agency NASA is experimenting with virtual and mixed reality at its Jet Propulsion Laboratory in Southern California.
The aim is to improve the analysis and interpretation of complex data, particularly in relation to the size and distance of geological features on Mars.
Virtualitics' main product is software that combines artificial intelligence with 3D visualization. It allows users to see patterns and relationships in their data faster than is possible with traditional 2D charts.
As part of its data visualization research, the US space agency NASA is experimenting with virtual and mixed reality at its Jet Propulsion Laboratory in Southern California.
The aim is to improve the analysis and interpretation of complex data, particularly in relation to the size and distance of geological features on Mars.
Virtualitics' main product is software that combines artificial intelligence with 3D visualization. It allows users to see patterns and relationships in their data faster than is possible with traditional 2D charts.
MIXED Reality News
NASA uses VR and AI to create virtual data worlds
NASA uses virtual reality and artificial intelligence to better understand complex data – a glimpse into the future of data analysis?