A Free Massive New Language Model; Moder Data Management; Actionable AI for NATO; AI Models are still Racist; $157 Million worth of ETH Burned!

Thanks to more the 700,000 readers and supporters of this newsletter. I hope that you enjoy the latest AI news and insights, don't forget to comment with your feedback.🙏

2 weeks ago you voted to have a little section in this newsletter covering WEB3 news and insights. From this week you can find some interesting stuff added to the last section.

Learn more about web3 here.

[Meta] Democratizing access to large-scale language models with OPT-175B: For the first time for a language technology system of this size, the release includes both the pretrained models and the code needed to train and use them trained on publicly available data sets.

[MIT] Artificial intelligence system learns concepts shared across video, audio, and text: A machine-learning model can identify the action in a video clip and label it, without the help of humans.

[LinkedIn Post] Check out this executive panel discussion to learn how AI can be leveraged for social Impact.

[MIT] Modern data management, the hidden brain of AI: Management of the messy, high-volume, unstructured data should be considered as important to AI as the limbic system is to the predictive function of the human brain.

[NYT] Another Firing Among Google’s A.I. Brain Trust, and More Discord: The researchers are considered a key to the company’s future. But they have had a hard time shaking infighting and controversy over a variety of issues.

[CEPA]  A cross-functional student consultancy delivered an actionable artificial intelligence (AI) and autonomy roadmap as part of the NATO Innovation Challenge.

[ArXiv] CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers - Code - Paper

[The Register] AI models still racist, even with more balanced training: It's not surprising if predictive models that try to detect skin cancer, for example, aren't as effective when analyzing darker skin tones than lighter ones. Biased datasets are often the source for why AI models are also biased.

[Politics Today] Human-Centered Artificial Intelligence at a Crossroads: As Artificial Intelligence gets more complex, ethical concerns over the further industrialization of Artificial Intelligence-based technologies grow.

[FT] Investors must know the difference between good AI and bad AI: Good AI and machine-learning (just like a star fund manager) will be able to adapt to information it has never seen before and still deliver the right outcomes.

[McKinsey] Why hybrid intelligence is the future of artificial intelligence: AI initiatives are known to be challenging; only one in ten pilots moves into production with significant results. “Adoption and scaling aren’t things you add at the tail end of a project; they’re where you need to start,”

[Ad] Andrew Jones is a former FAANG Data Scientist who has helped hundreds of students move towards incredible Data Science roles at top tech companies. Join 6000+ aspiring Data Scientists to watch this FREE 75-minute session. You'll get a full pathway for learning and vital inside knowledge from the Data Science hiring process! Don't get left behind - register to watch here

[💜] NFTs recognized as ‘legal property’ in a landmark case

[💜] More than $157 million worth of Ether permanently destroyed, and 3 other things to know about the record Bored Ape Yacht Club metaverse land sale!

[💜]  Check out the executive panel discussion: Blockchain for Social Impact

[💜] What is MetaMask? How to Use the Top Ethereum Wallet: It is a cryptocurrency wallet that enables users to access the Web 3 ecosystem of decentralized applications (dapps).

[💜] Coinbase NFT Marketplace Beta Sees Less Than 900 Transactions in Opening Week

[🦊] history!

For any collaboration inquiries, email me at info@spotlit.ai

See you next week. Steve