🚨 THREAD: "The New AI PMF Playbook is Hype. Here’s Why You Should Think Twice." OpenAI’s Product Lead dropped a flashy new “AI-native PMF framework” claiming to replace everything we know about Product-Market Fit. Everyone’s applauding. But here’s what no one’s saying... 🧵👇 Some Image ©️ history on the above⏫️ This is the embarrassingly sycophantic almost homo-erotic image that accompanied the announcement of the OpenAI 6.5BUSD acqui-hire by Altman of Jony Ive's underwhelming 2019 startup LoveFrom to create IO, which will merge with OpenAI in 2026

twitter.com/i/spaces/1Yqxo…

https://twitter.com/CryptoPalantir/status/1636409993145778177?t=dDBD2_TDPbcBQOYFV4Rihw&s=19

#SupervisedLearning is a type of #MachineLearning where an algorithm is trained on a labeled dataset to predict outcomes for new data

The labeled dataset contains input variables and the desired output, and the algorithm uses this information to make predictions

https://twitter.com/CryptoPalantir/status/1618632662008344578

In #SupervisedLearning, the algorithm is constantly adjusting its parameters to minimize the prediction error

One of the most popular algorithms for #SupervisedLearning is #LinearRegression, used for prediction problems where the target is continuous

Wanna know bout the effect on national security & global stability of #QuantumHacking in #Web3 #Crypto #AI #VR & #AR by nation-state-backed hacker groups like #USCyberCommand, #NorthKorea, #Iran, #Russia, & #China?

You do? Here's you're TL;DR to minimize your Units of Attention APT (Advanced Persistent Threat) groups are a prime example of nation-state-backed hacker groups

#CozyBear (APT29), #LazarusGroup (APT38), #DoubleDragon (APT41), #FancyBear (APT28), and #HelixKitten (APT34) are some of the most well-known APT groups

The IEEE GLOBAL GENERAL PRINCIPLES OF ‘ETHICALLY ALIGNED DESIGN’ initiative on the ethics of autonomous & intelligent systems (A/IS) includes 8 pillars

1. HUMAN RIGHTS: AI shall be created & operated to respect, promote, & protect internationally recognized human rights A real-world example of this pillar:

1. A facial recognition system used by law enforcement that respects individuals’ privacy and does not discriminate against certain groups

#AI Masterclass for Business Owners

Draw benefits from currently available AI tools to streamline your business, decrease costs, increase brand reach, create efficiencies, enhance your marketing mix & messaging, develop new ideas, & amaze & delight your customers

@yaeunda Murf enables anyone to convert text to speech, voice-overs, and dictations, and it is used by a wide range of professionals like product developers, podcasters, educators, and business leaders

murf.ai

Siloed development of AI by nation-states as National Security threat mitigation as well as the weaponizing of AI to infiltrate, and affect policy & population sentiment in adversary nations is a significant malignant threat to peace & exponentially increases the risk of conflict AI algos harness volumes of macro & micro-data to influence decisions affecting people in a range of scenarios, from benign movie recommendations to less benign black-box creditworthiness tests, to malignant use by Alphabet Agencies for regime change

wired.co.uk/article/ai-mac…

As a society, we must ensure that the #AI systems we are building are #inclusive and #equitable. This will only happen through increased transparency and #diversity in the field. Using already "dirty data" is not the way

https://twitter.com/CryptoPalantir/status/1614619775098920960

Using biased data to train AI has serious consequences, particularly when data is controlled by large corporations with little #transparency in their training methods

For fair & #equitable AI we need Web3 democratized & agendaless data for AI training

https://twitter.com/theanswer_web3/status/1614716198226108418