Langchain is one of the fastest growing open source projects in history, in large part due to the explosion of interest in LLM’s.
This post explores some of the cool thing that langchain helps developers do from a 30,000 foot overview. It was written for my own benefit as I explored the framework and I hope it helps you if you are also curios where langchain might be useful.
Some of the features that make langchain so powerful include allowing you to connect data to language models (like OpenAI’s GPT models via the API) and create agent workflows (more on agents later). — Read More
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Paul Graham on how to do great work
If you collected lists of techniques for doing great work in a lot of different fields, what would the intersection look like? I decided to find out by making it.
Partly my goal was to create a guide that could be used by someone working in any field. But I was also curious about the shape of the intersection. And one thing this exercise shows is that it does have a definite shape; it’s not just a point labelled “work hard.”
The following recipe assumes you’re very ambitious. — Read More
Eight AI Startups Winning the Race for Tech Talent
Meet the Generative Eight — and The Next Gen of AI companies building the future
Generative AI has taken the world by storm, and the companies building the future are in a race to hire the best available tech talent.
[L]arge companies are for the most part playing catchup, as their top talent gets poached. There is a new crop of nimble, innovative AI companies — pure play startups with AI at their core. They are in a race for tech talent. At Lightspeed, we’ve been investing in AI for over seven years, and have been tracking this space for even longer. — Read More
CognoSpeak: AI tool uses speech technology to quickly assess dementia risk
A new AI tool that could help doctors assess the early signs of dementia and Alzheimer’s more quickly and efficiently, has been developed by researchers at the University of Sheffield.
The system, known as CognoSpeak, uses a virtual agent displayed on a screen to engage a patient in a conversation. It asks memory-probing questions inspired by those used in outpatient consultations and conducts cognitive tests, such as picture descriptions and verbal fluency tests. — Read More
ChatData
Chat with/Query 2 milions arxiv papers. — Read More
As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035
Spurred by the splashy emergence of generative artificial intelligence and an array of other AI applications, experts participating in a new Pew Research Center canvassing have great expectations for digital advances across many aspects of life by 2035. They anticipate striking improvements in health care and education. They foresee a world in which wonder drugs are conceived and enabled in digital spaces; where personalized medical care gives patients precisely what they need when they need it; where people wear smart eyewear and earbuds that keep them connected to the people, things and information around them; where AI systems can nudge discourse into productive and fact-based conversations; and where progress will be made in environmental sustainability, climate action and pollution prevention. — Read More
AI Business Model Framework
The AI Business Model Framework is a comprehensive framework developed by Gennaro Cuofano that analyzes AI-based business models based on different layers that contribute to the overall value and success of the business: the foundational layer, the value layer, the distribution layer, and the financial layer.
Foundational Layer: What’s the underlying technological paradigm of the business?
Value Layer: How does the AI underlying tech stack enhance value for the user/customer?
Distribution Layer: What key channels is the business leveraging, and how is the company building distribution into the product?
Financial Layer: Can the company sustain its cost structure and generate enough profits and cash flows to sustain continuous innovation?
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Humans may be more likely to believe disinformation generated by AI
Disinformation generated by AI may be more convincing than disinformation written by humans, a new study suggests.
The research found that people were 3% less likely to spot false tweets generated by AI than those written by humans.
That credibility gap, while small, is concerning given that the problem of AI-generated disinformation seems poised to grow significantly, says Giovanni Spitale, the researcher at the University of Zurich who led the study, which appeared in Science Advances today. — Read More
Junk websites filled with AI-generated text are pulling in money from programmatic ads
People are using AI chatbots to fill junk websites with AI-generated text that attracts paying advertisers, according to a new report from the media research organization NewsGuard that was shared exclusively with MIT Technology Review.
Over 140 major brands are paying for ads that end up on unreliable AI-written sites, likely without their knowledge. Ninety percent of the ads from major brands found on these AI-generated news sites were served by Google, though the company’s own policies prohibit sites from placing Google-served ads on pages that include “spammy automatically generated content.” The practice threatens to hasten the arrival of a glitchy, spammy internet that is overrun by AI-generated content, as well as wasting massive amounts of ad money. — Read More
AI is killing the old web, and the new web struggles to be born
In recent months, the signs and portents have been accumulating with increasing speed. Google is trying to kill the 10 blue links. Twitter is being abandoned to bots and blue ticks. There’s the junkification of Amazon and the enshittification of TikTok. Layoffs are gutting online media. A job posting looking for an “AI editor” expects “output of 200 to 250 articles per week.” ChatGPT is being used to generate whole spam sites. Etsy is flooded with “AI-generated junk.” Chatbots cite one another in a misinformation ouroboros. LinkedIn is using AI to stimulate tired users. Snapchat and Instagram hope bots will talk to you when your friends don’t. Redditors are staging blackouts. Stack Overflow mods are on strike. The Internet Archive is fighting off data scrapers, and “AI is tearing Wikipedia apart.” The old web is dying, and the new web struggles to be born.
The web is always dying, of course; it’s been dying for years, killed by apps that divert traffic from websites or algorithms that reward supposedly shortening attention spans. But in 2023, it’s dying again — and, as the litany above suggests, there’s a new catalyst at play: AI. — Read More
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