Link feed
Fresh links
- Introducing GPT-Rosalind for life sciences research | OpenAI
On average, it takes roughly 10 to 15 years to go from target discovery to regulatory approval for a new drug in the United States. Gains made at the earliest stages of discovery compound downstream in better target selection, stronger biological hypotheses and higher-quality experiments. Progress in the life sciences is constrained not only by the difficulty of the underlying science, but by the complexity of the research workflows themselves. Scientists must work across large volumes of literature, specialized databases, experimental data, and evolving hypotheses in order to generate and evaluate new ideas. These workflows are often time-intensive, fragmented, and difficult to scale. We believe advanced AI systems can help researchers move through these workflows faster—not just by making existing work more efficient, but by helping scientists explore more possibilities, surface connections that might otherwise be missed, and arrive at better hypotheses sooner. By supporting evidence synthesis, hypothesis generation, experimental planning, and other multi-step research tasks, this model is designed to help researchers accelerate the early stages of discovery. Over time, these systems could help life sciences organizations discover breakthroughs that wouldn’t otherwise be possible, with a much higher rate of success. Source: Introducing GPT-Rosalind for life sciences research | OpenAI
There are plenty of things to be concerned about in the world of AI, but there's also a lot of hope. For people like me, advances like this one could be life-changing.
- Introducing GPT-5.5
Across all three evals, GPT‑5.5 improves on GPT‑5.4’s scores while using fewer tokens. Source: Introducing GPT-5.5
I just had a conversation today about how GPT-5.4 was a noticeable step up in coding work, more inline with Claude Opus. Sounds like GPT-5.5 improves on that. Good to see real competition in this space.
- Introducing workspace agents in ChatGPT | OpenAI
Workspace agents are an evolution of GPTs. Powered by Codex, they can take on many of the tasks people already do at work—from preparing reports, to writing code, to responding to messages. They run in the cloud, so they can keep working even when you’re not. They’re also designed to be shared within an organization, so teams can build an agent once, use it together in ChatGPT or Slack, and improve it over time. Source: Introducing workspace agents in ChatGPT | OpenAI
Yes please, I’m in. These tools are improving at pace and I'm loving it!
- Kiwi founded shoe company Allbirds pivots to AI | RNZ News
A local tech commentator says Kiwi founded Allbirds' surprise pivot from making merino shoes to AI chips is not as crazy as it sounds. Source: Kiwi founded shoe company Allbirds pivots to AI | RNZ News
I don't know man, I think it might be as crazy as it sounds. I just want to buy a pair of high tops and I don't even seem to be able to do that!
- Silo — Season 3 Official Teaser | Apple TV - YouTube
The truth will surface. Silo returns July 3 on Apple TV Source: Silo — Season 3 Official Teaser | Apple TV - YouTube
I recall getting to this point in the books and feeling like the story was going left, when I wanted it to go right. I was totally wrong and glad I kept reading. Looking forward to this one.
- Community Letter from Tim - Apple
This is not goodbye. But at this moment of transition, I wanted to take the opportunity to say thank you. Not on behalf of the company, this time, though there is a wellspring of gratitude for you that overflows inside our walls. But simply on behalf of me. Tim. Source: Community Letter from Tim - Apple
The end of an era. Go well Tim.