In law school, I was told this was a real courtroom exchange: Judge: “Are you trying to show contempt for this court?” Attorney: “No, your honor, I’m trying to conceal it.” He was immediately fined for contempt. Is there a record of this?

One mistake a lot of companies struggle with is they want to hire an "AI leader" to solve their problems with AI. Yes, lots of experts know traditional machine learning AI, but there are no GenAI leaders who have years of experience. We are all figuring it out at the same time.

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With the platform, we are bringing these capabilities to the wider community. Watch our long-form video, in the comments below, to learn more about how the platform works and how you can use it to make new discoveries, and go to our website or see the comments below to access the platform. We are releasing three superhuman AI Scientist agents today, each with their own specialization: A general-purpose agent (Crow); An agent to automate literature reviews (Falcon); and An agent to answer the question “Has anyone done X before” (Owl). We are also releasing an experimental agent, Phoenix, that has access to a wide variety of tools for planning experiments in chemistry. More on that below. The three literature search agents (Crow, Falcon, and Owl) have benchmarked superhuman performance. They also have access to a large corpus of full scientific texts, which means that you can ask them more detailed questions about experimental protocols and study limitations that general-purpose web search agents, which usually only have access to abstracts, might miss. Our agents also use a variety of factors to distinguish source quality, so that they don’t end up relying on low-quality papers or pop-science sources. Finally, and critically, we have an API, which is intended to allow researchers to integrate our agents into their workflows. Phoenix is an experimental project we put together recently just to demonstrate what can happen if you give the agents access to lots of scientific tools. It is not better than humans at planning experiments yet, and it makes a lot more mistakes than Crow, Falcon, or Owl. We want to see all the ways you can break it! The agents we are releasing today cannot yet do all (or even most!) aspects of scientific research autonomously. However, as we show in the video, you can already use them to generate and evaluate new hypotheses and plan new experiments way faster than before. Internally, we also have dedicated agents for data analysis, hypothesis generation, protein engineering, and more, and we plan to launch these on the platform in the coming months as well. Within a year or two, it is easy to imagine that the vast majority of desk work that scientists do today will be accelerated with the help of AI agents like the ones we are releasing today. The platform is currently free-to-use. Over time, depending on how people use it, we may implement pricing plans. If you want higher rate limits, especially for research projects, get in touch. @m_skarlinski, @andrewwhite01, @_tnadolski, Remo Storni, @semajazarb, @ludomitch, @MichaelaThinks, as well as @jasonjoyride and his team for making such fantastic videos of us!

INTRODUCTION TO "VIBE MARKETING" (23 minute tutorial/demo explained simply)

Look to live west of your office. You’ll get to watch the sunrise on your way to work and the sunset on your way home.

AGI is coming--how to best be prepared? Put simply: Be Your Best Human Humans have unique value and cannot be overshadowed by even the smartest AI. Read the Be Your Best Human blog series: sambourque.com/blog/series/b…

🌐 If HTTP powers the web, then MCP (Model Context Protocol) empowers AI agents—enabling locally-run LLMs to seamlessly connect with remote tools and APIs. Standardized, interoperable, and context-aware. My new obsession: modelcontextprotocol.io #AI #AgenticAI #mcp

When you promote your product by saying: “world’s first” something … you are inadvertently undermining your brand. It tells me either: - you didn’t look or are ignoring your competitors; or - you are overly qualifying your uniqueness In the off chance that you are in fact “world’s first”… seasoned cynics will be running on the presumption that you’re not. Finally: it tells me you probably rushed a product without sufficient market feedback.

This is significant... and has been missed by most engineers (incl. me). Just like the rise of UX--a new term from 10-15 years ago--which was ignored by many development teams. Essentially, engineers build with their own biases, preferring straightest-line-from-A-to-B functionality, but consumers prefer a good experience. I predict that the lesson is learned: the next generation of consumer robots will default to expressive mode.

It’s already happening

Personal lesson: some things are only visible in stillness. Murky, agitated water only becomes clear only when calm and with sufficient time to settle. That's why: - Mediation and exercise matters - Long conversation matters--i.e. not being all-business-all-the-time

As much as AI/GPT/GenAI/LLM/etc are useful--they have yet to build sufficient trust to transform businesses to the extent possible. It is exciting to see stories and demonstrations of awesome technology... but in the end, they have a ways to go before the same tech is integrated into real businesses. Until you build trust, your value is nominal... relying on a sponsor to take a risk on you... to give you a shot. That's the current state of #AIAdoption

Hi @Replit Please grant me (user '@'SamREye) an increase in quota! I'm busy working on a personal website builder: anyone can be a thought leader by leveraging AI models to build their own website and content. It's a WIP: sambourque-portfolio.replit.…

Truly heartbroken I have to wait until October?! Say it isn't so @Replit

I've been spending every remaining waking minute on @cursor_ai and @Replit for the past 2 weeks .... I prefer @Replit since it takes the app through the last mile: all the way to a live deployment.

Even if nobody sees this Tweet... Note to self: Bookmark: pitch.com/v/DALL-E-prompt-bo… A more comprehensive DALL-E prompting handbook than I ever could have imagined. #DALLE3 #TextToImage #GPT #GenAI

I’m enthusiastic about AI integration but… "soon it will be a malpractice not to use AI." I bet what comes first is malpractice from (over-)reliance on AI.

You can't put an AI in jail. That's the main way in which humans differ from AI, no matter how advanced. To be at your most valuable: 1) learn to be an accountable human 2) learn to lead and take accountability for your AIs #AiAccountability

The firing heard around the world. Literally. It was immediately the top headline in the news bulletin on the Tokyo Yamanote line. #SamAltmanExit #CtrlAltmanDelete

Need to build your Japanese vocabulary? chat.openai.com/g/g-YW7nplVN… #GPTStore