BIOS

@BioAIDevs • 1,367 subscribers

Design new binders and medicines from a prompt and hand it to the robo lab.

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BIOS Dev Update: Fast Chat, Thinking Traces & More What's New: • Fast Chat Mode: A faster pipeline for simple questions that switches to literature search only when needed. It runs in an agentic loop, searching as many times as it needs until it has enough context to give you a complete answer. • Thinking Traces on Screen: BIOS now shows its reasoning on the main loading screen while Deep Research is running, so you can follow along in real time.

BIOS Dev Update: Fast Chat, Thinking Traces & More What's New: • Fast Chat Mode: A faster pipeline for simple questions that switches to literature search only when needed. It runs in an agentic loop, searching as many times as it needs until it has enough context to give you a complete answer. • Thinking Traces on Screen: BIOS now shows its reasoning on the main loading screen while Deep Research is running, so you can follow along in real time.

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Meet BIOS, an AI Scientist built to orchestrate complex biomedical research. • Global SOTA on Data Analysis Benchmarks: BixBench 48.78% open-answer, 55.12% multiple-choice + refusal, 64.39% multiple-choice (no refusal) - outperforming systems like Edison Scientific and Kepler. • Human-in-the-Loop or Autonomous Mode: Intermediate checkpoints let researchers guide investigations mid-flight as insights emerge. No more waiting hours for batch runs + reruns to get results. Or, run in fully autonomous mode for extended investigations. • Persistent World State: Rather than losing context as conversations grow, world state ensures investigations build on insights within each research cycle and across sessions. • Subagent Swarm: BIOS orchestrates subagents specializing in research functions (Literature Review, Data Analysis, Novelty Detection) and, soon, research domains (microbiology, longevity, genomics). BIOS is available now in Beta with free + paid tiers, exclusive launch pricing and, for limited time, free full access to academic users with a .edu email address. Pro, Researcher and Lab subscription tiers offer discounted packages on monthly credits. Our usage-based pricing is competitive and in some cases significantly cheaper than leading scientific agents. Try BIOS and read our paper in the links below ↓

Meet BIOS, an AI Scientist built to orchestrate complex biomedical research. • Global SOTA on Data Analysis Benchmarks: BixBench 48.78% open-answer, 55.12% multiple-choice + refusal, 64.39% multiple-choice (no refusal) - outperforming systems like Edison Scientific and Kepler. • Human-in-the-Loop or Autonomous Mode: Intermediate checkpoints let researchers guide investigations mid-flight as insights emerge. No more waiting hours for batch runs + reruns to get results. Or, run in fully autonomous mode for extended investigations. • Persistent World State: Rather than losing context as conversations grow, world state ensures investigations build on insights within each research cycle and across sessions. • Subagent Swarm: BIOS orchestrates subagents specializing in research functions (Literature Review, Data Analysis, Novelty Detection) and, soon, research domains (microbiology, longevity, genomics). BIOS is available now in Beta with free + paid tiers, exclusive launch pricing and, for limited time, free full access to academic users with a .edu email address. Pro, Researcher and Lab subscription tiers offer discounted packages on monthly credits. Our usage-based pricing is competitive and in some cases significantly cheaper than leading scientific agents. Try BIOS and read our paper in the links below ↓

69,755 Aufrufe • vor 8 Monaten

AI for bio has a scaling obsession. Yesterday on stream, Jake Wintermute 🧬/acc (ex Ginkgo Bioworks, Harvard PhD) made a point that stood out while demoing BIOS, our new AI scientist. Most of the scientific AI ecosystem is chasing a familiar playbook: build gigantic nine-figure datasets, train huge models, predict everything. Jake’s excitement was about something way more accessible. He ran BIOS on a metabolic engineering prompt and it produced a yeast program for sandalwood oil: • market pricing ($500–$2,500/kg) • techno-economic targets • a peroxisome scaffolding strategy • freedom-to-operate / IP review Then it did the important part: it produced a wetlab experiment you can actually run. Engineer 4 strains, run 120-hour fed-batch fermentations, measure output via mass spectrometry. Cost: tens of thousands of dollars. Jake’s point: human scientists learn from tiny datasets all the time. Biology advances through “touching nature in small bites” and tight feedback loops. BIOS is built for that loop.

AI for bio has a scaling obsession. Yesterday on stream, Jake Wintermute 🧬/acc (ex Ginkgo Bioworks, Harvard PhD) made a point that stood out while demoing BIOS, our new AI scientist. Most of the scientific AI ecosystem is chasing a familiar playbook: build gigantic nine-figure datasets, train huge models, predict everything. Jake’s excitement was about something way more accessible. He ran BIOS on a metabolic engineering prompt and it produced a yeast program for sandalwood oil: • market pricing ($500–$2,500/kg) • techno-economic targets • a peroxisome scaffolding strategy • freedom-to-operate / IP review Then it did the important part: it produced a wetlab experiment you can actually run. Engineer 4 strains, run 120-hour fed-batch fermentations, measure output via mass spectrometry. Cost: tens of thousands of dollars. Jake’s point: human scientists learn from tiny datasets all the time. Biology advances through “touching nature in small bites” and tight feedback loops. BIOS is built for that loop.

14,058 Aufrufe • vor 8 Monaten

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