Dean Cheesman (@dcheesman) header
Dean Cheesman (@dcheesman) profile picture

Creative technologist in Provo, UT building generative art and interactive experiences and tweeting about all things "Creativity"

Provo, UT
Joined March 2007
Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)Photo by Dean Cheesman (@dcheesman)
The future is autotelic. Reward is the activity itself.
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I find myself continually mentioning the fact lately that getting rid of a bad thing doesn’t guarantee you don’t get a worse thing in its place.
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I feel like #OpenClaw is the first thing to get close to this for me.
Replying to @dcheesman
First up: personalized digital assistants. These will take on multiple roles for us, including tutor, coach, therapist, scheduler, matchmaker, personal shopper, dietitian, stylist, travel agent, and consultant.
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Dean Cheesman retweeted
Dean Cheesman put out a really helpful TouchDesigner introductory lesson today. Lots of content in 73 minutes. youtube.com/watch?v=gQdmocb-…
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[Artist of the week #16] @dcheesman Discover D. Cheesman, the creative technologist behind mesmerizing interactive installations & generative art. His unique philosophy: leave room for the unexpected! Read more: zurl.co/mTUdk
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Dean Cheesman retweeted
Being kind boosts mental health more than seeking joy. Evidence: Doing 3 random acts of kindness a week is enough to reduce depression, anxiety & loneliness. It's more beneficial than doing nice things for yourself. Self-care feels good, but generosity builds lasting bonds.
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Dean Cheesman retweeted
Today's big biotech win is that we might be on the verge of a cure for type-1 diabetes🧵 Twelve diabetics were injected with stem cell-derived pancreatic islets. They started producing insulin again. One year in, 10/12 participants no longer needed to inject insulin.
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Dean Cheesman retweeted
This morning, Nature published two papers on bridge editing, the new genome engineering technology from @ArcInstitute: nature.com/articles/s41586-0…, nature.com/articles/s41586-0…. I'm quite excited about its potential! Since the whole thing is pretty arcane, I fed the blog post (arcinstitute.org/news/blog/b…) to Claude 3.5, and asked it to write an introduction. Below is the rather impressive (unedited) result. Genome Design: The Bridge to Our Biological Future I. Imagine you're trying to edit a document, but instead of a cursor, you have a pair of scissors. You can cut out words you don't like, maybe paste in a few new ones, but precise editing? Forget about it. Now imagine someone hands you a pen. Suddenly, you can write whatever you want, wherever you want. This is the kind of leap we're seeing in the world of genome editing. For the past few decades, we've been snipping away at genomes with tools like CRISPR, making impressive progress but always constrained by the fundamental nature of our tools: they cut DNA. But what if we could write directly into the genome, inserting whatever we want, wherever we want, without ever making a single cut? This isn't just a "wouldn't it be nice" daydream anymore. Researchers at the Arc Institute have discovered a new system that does exactly that. They're calling it "bridge recombination," and it might just be the biggest revolution in genetic engineering since CRISPR. II. To understand why this is such a big deal, we need to take a quick tour through the history of genetic manipulation. In the late 1990s, we discovered RNA interference (RNAi). This was our first real taste of programmable biology. We could use short RNA sequences to target and shut down specific genes. It was like having a universal remote control for gene expression. Cool, right? Then came CRISPR in the early 2010s. Suddenly, we could not just turn genes off, but edit them directly. It was like upgrading from a remote control to a basic text editor. We could cut out bad genes and paste in good ones. But there was always a catch: CRISPR works by cutting DNA, and cells don't always repair those cuts exactly the way we want them to. Both of these systems were revolutionary, but they shared a common limitation: they were destructive. They worked by breaking things – either the RNA transcripts of genes (in the case of RNAi) or the DNA itself (in the case of CRISPR). III. Enter the bridge recombination system. The researchers at Arc Institute, led by Dr. Patrick Hsu, were poking around in the genomes of bacteria, looking at transposable elements. These are sometimes called "jumping genes" because they can cut themselves out of one part of a genome and paste themselves into another. They were particularly interested in a group called IS110 elements. These are about as minimalist as you can get while still being functional – just a gene for the enzyme that does the cutting and pasting, plus some mysterious flanking DNA segments. What they found was surprising. When an IS110 element cuts itself out of a genome, those mysterious flanking segments join up to form an RNA molecule. This RNA folds into two loops, one that binds to the IS110 element itself, and another that binds to the target DNA where the element will insert itself. This RNA – which they've dubbed "bridge RNA" – is the key to the whole system. It's like a set of instructions, telling the enzyme exactly where to insert the DNA and what DNA to insert. IV. Now, you might be thinking, "Okay, that's neat, but how is this different from CRISPR?" The key is in how the insertion happens. CRISPR works by making a cut in the DNA and then relying on the cell's repair mechanisms to insert the new DNA. It's effective, but it's also a bit like performing surgery with a chainsaw. Sometimes you get exactly what you want, but often you end up with small errors or unwanted insertions or deletions. The bridge recombination system, on the other hand, doesn't cut the DNA at all. It unzips a small section, inserts the new DNA, and zips it back up again. No broken DNA strands, no relying on error-prone repair mechanisms. It's precise in a way that CRISPR can only dream of. But the real magic is in the programmability. Remember those two loops in the bridge RNA? They can be programmed to recognize any DNA sequence. This means you can tell the system to insert any piece of DNA into any location in the genome. It's like having a word processor for DNA. V. The implications of this are staggering. Here are just a few possibilities: • Gene Therapy 2.0: Current gene therapy approaches often rely on somewhat random insertion of therapeutic genes. With bridge recombination, we could insert corrective genes exactly where they need to go, without risking disruption of other important genes. • Synthetic Biology: Want to give an organism a completely new capability? Just design the gene and insert it precisely where you want it. • Evolutionary Biology: We could insert reporter genes at specific locations across the genome, allowing us to watch evolution happen in real time. • Agricultural Improvements: We could insert beneficial genes into crops with unprecedented precision, potentially revolutionizing our ability to create drought-resistant or nutrient-enhanced plants. • Bioengineering: Imagine being able to design and build entire genetic circuits, inserting each component exactly where it needs to be for optimal function. VI. In the grand scheme of things, the discovery of bridge recombination feels like a pivotal moment. It's as if we've been trying to write the book of life with a typewriter, and someone just handed us a word processor. The researchers at Arc Institute have opened a door to a new era of genome design. As with any breakthrough of this magnitude, it's hard to predict exactly where it will lead. But one thing is certain: the future of biology just got a lot more interesting. As we stand on the brink of this new frontier, I'm reminded of a quote from Arthur C. Clarke: "Any sufficiently advanced technology is indistinguishable from magic." With bridge recombination, we're not just editing the genome anymore. We're writing it. And that, my friends, is pretty close to magic.
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Is it generally accepted that I can text at any time of night and expect people to have do not disturb turned on if they're sleeping?
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Who’s working on the open-source open-weight LLMs that we can use as first human+ai political candidate and eventually full AI political representative?
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AI is coming, and it's coming fast. I've been thinking about the products and uses we might see in the next few years, and I want to share my predictions with you. 🧵
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What did I miss? Which of these AI ideas would you be most excited to have available to you? Which companies or startups do you know that are already building or have these products available (and don't just say #chatGPT)? #AI #innovation #AIpredictions
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I predict that some time in the next 3 years we will see an AI-backed political candidate. Still a human, but they vow to only do what the tuned open-weight AI LLM instructs in each situation. Voters can chat any time and as much as they want to know what they'll do.
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Is something really “free” if it costs you years of reporting spam and unsubscribing?
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Request for @descript - please make “then you can go ahead and” a filler word to remove for all the people making tutorials with your app.
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Dean Cheesman retweeted
We’ve opened up our designs to the world. Now anyone can build our product, anywhere on earth! nomadnation.co/node It took me 10 years to realize that, while new and innovative construction methods and materials are always exciting, they won’t be what solve the underlying issues with housing costs for the consumer. The reality is that American new-home construction methods are already so incredibly optimized, homes TODAY can be built in under 10 days, at very little cost on a historical basis (they often are, when built in a factory). Homes built today are far more efficient, comfortable, healthier and safer than they’ve ever been—and the labor and material resources required to develop are already readily available in every city from Florida to Alaska. So why is the housing crisis still one of the world’s largest unsolved economic issues? The reality is that the majority of the bottleneck starts and ends with the law. Learn more at our original post: linkedin.com/posts/zach-milb…
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Dean Cheesman retweeted
Everyone accused of witchcraft has been innocent, including those who thought they were guilty.
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AI is the exact opposite of a solution in search of a problem. It's the solution to far more problems than its developers even knew existed.
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#TIL That I can get my Dexcom constant glucose monitor supplies covered under my pharmacy benefit (80% covered) instead of the 50% that my durable medical equipment benefit was covering. Not sure why this thing isn’t automatically flagged. saving $200/month #diabetes @Aetna
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One of the worst paradoxes of parenting is that when the kid needs sleep the most they fight it the hardest.
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As someone who has written code for a while, I don't necessarily care about a product being #NoCode . What I care more about is it being no-environment-setup-so-i-can-just-get-started-and-iterate. Not as catchy, but it is what it is.
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Going to get back into quantitative self again. I was early to it with fitbits, sleep trackers, blood glucose, etc and got great insights but those plateaued and I lost the drive to track. Getting back into it now in anticipation for the AI coaching services around the corner.
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Here is an update on this. So far, I've got processes to passively store my podcast listening, audible listening, sleep, steps, and weight. Currently using my podcast and audible listening data to have GPT give me journaling prompts based on what I'm consuming.
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Hardest part so far was getting the audible info. No official API, so I had to work around it. Chat GPT as a coding partner helped me get it all worked out. Tech stack is mostly Google Sheets (with App Scripts), Google Cloud Functions, iOS shortcuts, IFTTT, and Zapier.
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