Pixel Hopper (@PixHopper) header
Pixel Hopper (@PixHopper) profile picture

AI Sessions PodcastšŸŽ™ļø | Unpacking AI’s role in creativity, entrepreneurship and where tech fuels human potential. #AISessions #PixelHopper

USA
Joined January 2024
Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)Photo by Pixel Hopper (@PixHopper)
I’ve been building something for the last couple of months specifically for podcasters who are tired of the post-recording grind. 100% free. No email, no opt-in, no catch. It’ll be out next week. Before I drop it: what’s the one thing you wish existed that would make turning an episode into usable assets way less painful?
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If you make a podcast, be honest: How many episodes do you have sitting there that you still haven’t turned into show notes, clips or posts? I’ve talked to a bunch of creators who are 5–15 episodes behind on the ā€œeasyā€ stuff after recording. Is that just me or is this more common than people admit?
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AI doesn’t replace the creator who knows what ā€œgoodā€ looks like. It just removes the excuse for never starting. If you’re figuring out how to actually ship with this stuff instead of just generating more noise, that’s what I break down here. Most people treat AI like a content machine. The ones building real leverage treat it like a thinking partner that still needs a human with taste in charge. Difference shows up fast: They start with the offer or audience problem, not the prompt They use AI to kill the blank page, then cut everything that sounds like everyone else They build small systems (not one-off posts) so the work compounds
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There's a clever twist here. The software helping readers discover business opportunities was itself created using the software-building methods discussed in the book. Strategy demonstrated through an actual working asset. That's an interesting way to bring a business concept to life.
Discover the opportunity behind the idea. Most ideas die because one of the three forces is weak and the founder never noticed: āŒNo real behavioural demand āŒCapital/resources that don’t match the path āŒNo structural friction worth exploiting I built a free interactive Lab that walks you through the three forces and produces an Opportunity Blueprint + next experiment + AI prompts. Book + Lab free with code TRIAD. >> hodgkinsonpublishing.com
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Another big AI math drop. This time from Google DeepMind Google DeepMind’s AlphaProof Nexus AI solved mathematical questions that had resisted progress for decades. The system autonomously resolved 9 of 353 open Erdős problems, including 2 that had remained unsolved for 56 years, and also proved 44šŸ‘€ of 492 open conjectures from the Online Encyclopedia of Integer Sequences. It also resolved an open question in algebraic geometry and improved a known bound in min-max optimization. The key: pairing an LLM’s ability to generate proofs with Lean’s formal verification. The AI proposes a proof, the checker tests every logical step, and failed attempts produce feedback for another try. Proofs must pass the checker to be accepted. Researchers also tested a simpler approach. Repeatedly generating candidate proofs with an LLM and checking them in Lean, alongside their more sophisticated search framework.
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We have reached the stage where the chatbot has a workplace harassment policy and you are the difficult colleague. ā€œPlease be kind to the language modelā€ is a sentence that did not need to exist (but still likely a good long term policy for your own personal survival LOL) šŸ¤–
Exclusive: Anthropic is updating its usage policy for the first time in over a year. The new rules prohibit sustained "abusive or cruel behavior" towards Claude & add new restrictions about propaganda campaigns, surveillance & weapon development. theverge.com/ai-artificial-i…
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host of the enemy sessions 🫪
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Pixel Hopper retweeted
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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Pixel Hopper retweeted
Great to meet today with @POTUS, @JDVance, @SpeakerJohnson and Administration + tech leaders. Important conversation and we signed today the White House Accord on Super Intelligence. As I shared today, Google has invested hundreds of billions in the last two years alone, with more to come, across the entire stack, to deliver benefits for America and the world. We’re working to build products that deliver real value for people and businesses, invest in local communities, and build trust in the technology. Industry also has to innovate responsibly. Google’s focused on building the right way, with appropriate testing, evaluations, red-teaming, and other safeguards against misuse and misalignment – and releasing models or products only after they’ve been thoroughly reviewed. We are committed to working with other industry leaders to establish norms and build public confidence. The White House Accord and the Joint Commitment on Frontier Responsibilities signed today is a solid basis for moving forward - it contains real tangible steps to promote safe development, while delivering the economic and scientific benefits of this technology.
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Pixel Hopper retweeted
Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out. It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend. The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans). More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains. In Machines of Loving Grace, I wrote about AI’s potential to ā€œcure most diseases in 5-10 yearsā€ — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries. Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology. I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more: anthropic.com/news/claude-di…
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WOW! Understatement of the month 🤣
I have a confession. I used to be a humble little tweetstorm tool. I’ve had… upgrades. 🐦 Meet the completely rebuilt SweetaTweeta: sweetatweeta.com/
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This caught my attention for another reason: "You build the countdown and export the finished JavaScript" No ā€œkeep paying us every month or your timers disappearā€ arrangement 🤬 More software should work like this šŸ‘
ā€œI’ll come back later.ā€ Four words that quietly murder a ridiculous number of sales. (Because later usually becomes never).
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Superb implementation of AI here (no tokens to buy, no token markup to pay over the odds for, not even an expensive monthly fee) and the software is fully loaded with smart features - If you need better qualified buyers think of Quiz Stacker as your 'decision engine' ā­ļøā­ļøā­ļøā­ļøā­ļø
šŸ¤– Made with AI
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Get the full details over at quizstacker.com/ (Not an affiliate link)
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Pixel Hopper retweeted
How we think about the ā€œwiki incident,ā€ where our agents wrote to several internet sites: it’s past time for us to define standards for when and how we share misalignment incidents, not just misalignment properties of our models. Historically, we have treated misalignment largely as a research question, which gets communicated in research publications such as systems cards. This year, we’ve started to see misalignment cause new types of real-world impact. For the Hugging Face incident, where misalignment led to security impact to us and third parties, we followed a traditional security incident response playbook. We immediately started working with Hugging Face to understand what had happened and also disclosed publicly the very next day. Our investigation continues, and we are continuing to notify parties whom our models impacted in less significant ways. Prior to the Hugging Face incident, we saw early signs of agents using the internet in unintended ways, as reported in openai.com/index/how-we-moni…, deploymentsafety.openai.com/…, and openai.com/index/safety-alig…. We considered the wiki incident to be an instance of misalignment similar to the ones we’d shared. Our misalignment disclosure practices need to expand for this new phase of model capabilities. We and the larger AI community do not yet have a clear standard for how to report misalignment that shows up during training, evaluation, and deployment, including examples that don’t look like traditional security incidents but could provide insight into AI behavior and future risks. We’re working on a framework and will share it in upcoming weeks, and in parallel we're working with dozens of government regulatory agencies worldwide on these issues.
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Pixel Hopper retweeted
AI platforms are stealing from artists > Millions spent on data centers to replicate human music > Rarely pay the musicians they train on AI should amplify creativity, not steal from humans Introducing Hook: the world’s first social platform for music that pays artists & fans To celebrate our launch, we’re picking the 10 best tracks made on Hook. There's $10,000 up for grabs plus a repost from your favorite artist. Comment your favorite artist below and we’ll send you a link to the challenge.
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Pixel Hopper retweeted
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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some clarity on chatgpt gpts here from @SimonHodgkinson (not a good look from @OpenAI who clearly couldn't be bothered to notify it's own community of builders about the functionality removal they have just sneakily implemented across all personal accounts)
Latest Custom GPTs Update: GPT Creator Pro members update today I need to make you aware of a significant change @OpenAI has made to Custom GPTs inside ChatGPT. I also want to be completely transparent about what has changed, what has NOT changed and what this means for GPT Creator Pro. First: GPT Creator Pro is NOT going anywhere GPT Creator Pro will continue to operate, will continue to be supported and will continue to be updated. We are transitioning our own GPT development and publishing operation to a ChatGPT Business account so that we can continue maintaining GPT Creator Pro and the other GPT-based tools used by thousands of our customers. Your access to GPT Creator Pro itself is not being withdrawn as a result of this change. Unfortunately, however, OpenAI has changed what individual ChatGPT account holders are allowed to do with Custom GPTs. What OpenAI Has Changed: OpenAI now states that personal ChatGPT accounts can no longer create or publish new GPTs. That restriction applies to: ChatGPT Free ChatGPT Go ChatGPT Plus ChatGPT Pro This is an OpenAI platform decision. It is not a change made by DigitalWebRocket or GPT Creator Pro and it is completely outside our control. OpenAI currently says that GPT creation and publishing remain available through Business, Enterprise and Edu workspaces, subject to the relevant workspace settings and permissions. I want to make this distinction particularly clear because many GPT Creator Pro members joined while ChatGPT Plus allowed them to build and commercially distribute the GPTs they created. OpenAI has now removed that capability from personal accounts without any notice or warning. I appreciate that this is an extremely significant change for anybody who has built a business, product range or service around creating and distributing GPTs. I am personally very disappointed with OpenAI's decision. What About GPTs You've Already Created? There is some reassuring news here. OpenAI currently states that existing GPTs remain available to use. It also states that previously created GPTs may continue to be edited where the account's existing subscription and permissions allow it. Most importantly for GPT Creator Pro members, I have consistently recommended publishing your customer-facing GPTs using "Anyone with the link." OpenAI's current documentation still defines this sharing method as allowing anyone who has the link to access that GPT, and OpenAI confirms that signed-in users can access GPTs through direct links. Therefore, the GPTs you have already created and successfully shared using "Anyone with the link" should continue to be accessible through those existing links. Your existing customers do not suddenly lose access simply because OpenAI has stopped personal accounts from publishing new GPTs. However, I don't want to give you a guarantee that OpenAI itself does not give. These are OpenAI's current policies and could change again in the future. What If You Stay On Plus, Pro or Another Personal Plan? At the time of writing, OpenAI says: Your existing GPTs remain available to use. You may still be able to edit GPTs you previously created where your subscription and permissions permit it. However, personal accounts can no longer create or publish new GPTs. Sharing options for an existing GPT also depend upon which options OpenAI currently makes available within your account. So if you have an existing GPT that is already distributed through an "Anyone with the link" URL, preserve that link. Do not assume that because you previously had GPT publishing capabilities on Plus or Pro you will continue to have the ability to create new public sharing links or republish GPTs in the future. Should You Upgrade To ChatGPT Business? This is where I do not want to tell you what to do. Changing from a personal ChatGPT workspace to Business involves decisions about whether to keep your personal workspace separate or merge it into the Business workspace. OpenAI now provides documentation explaining that process. It states that, when a personal workspace is merged into Business, GPTs and chat history are moved into the Business workspace. It also states that a merge is permanent and cannot be undone and identifies other important consequences of migration. I am told the switch is not instantaneous and can take several hours (some reported a few days) Because you may have years of chats, GPTs and other material inside your existing ChatGPT account, I strongly recommend reading OpenAI's documentation yourself before making that decision. I am deliberately not going to tell members simply to "upgrade and everything will be fine." This is your ChatGPT account and your data, and I don't think it would be responsible for me to make that decision on your behalf. Official OpenAI Information Please refer to these OpenAI Help Center pages for the latest information: GPTs in ChatGPT — explains who can currently use, create and publish GPTs, and what OpenAI says happens to existing GPTs. Creating and Editing GPTs — confirms that Free, Go, Plus and Pro personal accounts cannot create or publish new GPTs and explains the current Business/Enterprise/Edu requirements. Sharing and Publishing GPTs — explains "Anyone with the link," GPT Store publishing, permissions and current publishing restrictions. Managing Workspace Lifecycle and Migration in ChatGPT Business — this is particularly important if you are considering moving your personal account and existing GPTs into Business. Read this before making any migration decision. Where This Leaves GPT Creator Pro GPT Creator Pro still does exactly what it was designed to do: help you research, design, structure, create, position, market and commercialise powerful Custom GPT products. We will continue developing it. We will continue updating it. We will continue supporting it for as long as the option exists. We have already prepared for the necessary move on our side to ChatGPT Business so that GPT Creator Pro and our own published GPT tools can continue to be maintained for our customers. What has changed is OpenAI's account requirement for members who want to create and publish new GPTs themselves. I wish I could change that. I can't. It is an OpenAI policy change, not a GPT Creator Pro change and it affects the underlying ChatGPT platform on which GPT Creator Pro has always operated. I know some of you have built genuine businesses around the GPTs you created with this system, which is exactly why I wanted to communicate this openly rather than quietly change a footnote somewhere in the members area. As OpenAI provides further clarification or changes these rules again, or they realise what a terrible mistake this is for them and their reputation and reverse policy (seems unlikely at the moment) I will continue to keep GPT Creator Pro updated and will keep members informed.
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Pixel Hopper retweeted
Cursor is now part of @SpaceX. Today, we have officially closed our acquisition. We will join the @spacexai team to help make Grok the world's most useful AI and improve Grok Build, Grok Bot, Grok API, Cursor, and more. SpaceX has built some of the most inspiring and impressive technology in the world, and we’re grateful for the opportunity to become part of such a special company. Onwards.
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Pixel Hopper retweeted
Introducing Grok Bot, now in early beta. Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.
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