For South Park, I just wait for a full season to be out and watch it over a month, then cancel. $15 for a season isn't too bad.
513 karma · joined June 8, 2026
"Our prompt specified the targets, the design sets and their sizes, the rules for each design, the protein design and prediction tools, the scores and ranking formulas, and the novelty and diversity rules."
I think most scientists would consider LLM to be an orchestration tool in cases like this. LLMs do work great for automating this type of drug discovery workflow! You definitely don't need the latest and greatest model, either, as long as you're careful in your specification. But attributing the designs to the tool (Claude), not the scientists who came up with the workflow, is distasteful and misleading.
"The rating action, which has not previously been reported, shows Anthropic is close to achieving the investment-grade status that would allow the start-up to lower its borrowing costs and tap a wider pool of institutional investors including life insurance companies and pension funds.
Bankers for Anthropic and rival OpenAI have lobbied the largest rating agencies to grant the AI labs investment-grade ratings once they go public."
"The rating action, which has not previously been reported, shows Anthropic is close to achieving the investment-grade status that would allow the start-up to lower its borrowing costs and tap a wider pool of institutional investors including life insurance companies and pension funds.
Bankers for Anthropic and rival OpenAI have lobbied the largest rating agencies to grant the AI labs investment-grade ratings once they go public."
Her comment about the Mathematica notebook really hits home. As a scientist, not a software engineer, who uses code as a tool to speed up more critical parts of my work, I was thrilled to have the chance to learn programming skills on the job. I could justify it because the time saved by the fruits of it outran the time I spent learning it. I can't do that anymore. I'm not building software, just scripting, so even the cheapest models today can give me suitable code quicker than I could write it myself. So I can no longer justify learning new programming skills, at least on work time. I'm glad I had a few years to pick up the basics before these tools became available.
"Anthropic still hasn’t made its prospectus public, so New Constructs hasn’t seen the actual filing. However, the firm cited figures that have been reported, including from the New York Times, which reported in September that the company was on pace to generate $100 billion in annualized revenue by the end of 2026."
"The site does not yet reflect tiered pricing, so provisional cost figures for Haiku 5.5 do not include the step up cost."
Frankly, it's irresponsible for them to put the points on the chart if they don't have the correct values for one of the axes yet. At least they added some asterisks since yesterday, but you still have to go to the blog post (https://artificialanalysis.ai/articles/claude-haiku-5-5) to see what the asterisks mean.
The discussion manages to entirely skip over one of the elephants in the room: subscriptions. Any calculation of gross operating margin will have to blend API and subscription costs and revenue, which I imagine will be less positive than API alone.
https://artificialanalysis.ai/?models=gpt-5-6-luna-low%2Ccla...
According to this, at Max it's better and cheaper than 5.5 Medium, but worse than 5.5 High. At Medium, it's better and cheaper than 5.5 Low.
"The project and the bug were co-opted into an 100% automated flow without asking permission. It forced you to detect and intervene in order to get a human to pay attention. Your [sic] were forced to dedicate human time, while they could choose whether to or not. That's exactly the unsustainable asymmetry that should be renounced."
That's depressing. Why would a professor be using an AI chatbot regularly in class? What kind of example are they setting for their students?