Checking recent verified miners…
Science first.
Questions everywhere.
Organise medicine, scientific and engineering research by condition or product field. Mining Nodes compare independently reviewed model outputs with dated treatment benchmarks. Existing medicines remain references; they do not enter the pool as new discoveries.
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Research. Build. Verify.
Medicine stays first. The same mine runs supported numerical research, game layouts, original sounds, GPU assets and installed Qwen3 or Qwen3.5 AI work. Devices use the useful jobs and tools they support; smaller devices have smaller memory and batch budgets.
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Latest passing public calculations
These are fixed public reference answers. They are not new medicines, patient advice or novel scientific discoveries. Smaller eligible results carry forward toward the same full reward block.
Game production
Private chemistry, account balances, identities, device details and private cloud archives are excluded. Asset generation automatically runs supported technical checks; final photorealism, licence rights, runtime integration and scientific acceptance still require their evidence. Unverified local training or assets earn no weight.
Useful chemistry work.
Mining compares rounded molecular descriptors from 4,096 public PubChem compounds, finding each entry's nearest neighbour within its 256-compound batch. These are reference compounds, not newly discovered medicines. Each batch evaluates 65,280 ordered pairs and is checked in full by the server.
Checking the research queue…
Descriptor distance is an exploratory numerical measure. It does not establish structural similarity, activity, safety or treatment efficacy. Reviewed medicine tasks lead the queue, followed by other sciences and procedural game work. Finished inputs are not mined again for more Points.
Generate. Screen. Review.
The owner-only Private Research Lab computes molecular descriptors locally and encrypts saved structures before uploading them. Public summaries never include chemical structures.
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These are incomplete research screens. Novelty, biological activity, toxicity, safety and treatment efficacy are unknown. No new medicine rewards are issued for these screens. Public PubChem work above analyses known reference compounds separately.
Owner lab ↗Research by field and condition.
Loading official classification…
The CDC ICD-10-CM FY2027 classification adds 74,879 condition, symptom, injury and encounter codes, including epilepsy subtypes. These are classification entries, not 74,879 different diseases or configured treatment models. Official catalogue and date ↗ Cancer research is grouped by tumour type; stage, subtype, population and endpoint must be specified in the reviewed model. Cure-seeking hypotheses are allowed, but simulation scores do not establish a cure. There is no single best medicine for every condition or person. Hydrocephalus care commonly involves shunt surgery or neuroendoscopy; a research hypothesis is not a medicine cure. NHS treatment information ↗
Ask a research question.
Requests await an independent reviewed model. Condition-specific requests have no preloaded medicine or material price; public reference analysis and the local generator preview are shown separately above. Do not enter patient records, identifying information, doses, synthesis instructions or chemical production procedures.
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Condition-specific comparison reports.
Desktop molecular simulations and model checks are saved separately. Open your encrypted report to see conformer energies, convergence, molecular descriptors and the recorded numerical predictions.
A report identifies the model, population, endpoint, benchmark and reference date. Its winner is limited to those inputs. Further independent testing, safety assessment and clinical validation are required.
Prediction categories and disease-specific research
The Windows mine can screen an owner-supplied molecule using eleven installed property and toxicity models, alerts and conformation checks. Its encrypted report groups genetic damage, organ/general toxicity, cancer hazard and ADME predictions in the private lab. A cancer-hazard model does not predict cancer treatment.
Disease-specific effectiveness requires a relevant target, endpoint, population, validated model and supporting biological evidence. Those are not supplied by toxicity results or a general language model. No disease-effectiveness percentage is currently configured. A transparent research-priority rubric stays unavailable when target activity or any other required component is missing.
Owner: view private prediction categories ↗
Best in simulation, within each reviewed category
Sign in to see your condition-specific simulation comparisons.
Material and production estimates require current, source-linked supplier quotes, batch assumptions, testing, regulatory and overhead estimates. Missing or expired prices display as unavailable, not £0. The comparison engine ranks supplied numeric model outputs; it is not a molecular discovery engine or evidence of treatment efficacy.
Failed research stays useful.
Record why a verified model result did not meet its goal. Etheraio retains the original data, result, reason and block proof in your private account. The same candidate is removed from the research queue. A fresh question can reuse that evidence in medicine, physics, robotics or materials after an independent model review. Game art can already use a failed result as a deterministic seed through Creative outputs.
Sign in to view private research evidence.
This is evidence memory and a review queue, not automatic AI model training. A failed medicine result does not establish usefulness in another field. Hashes identify records; the reviewed data and new calculation are the reusable work.
Learn from checked research.
Public numerical outcomes can prepare a Qwen3 training dataset. Incorrect attempts are paired with the recomputed answer. Private chemistry, personal details and unsupported clinical claims stay out.
Checking training evidence…
Model-weight training is prepared but has not executed. This PC needs compatible training libraries and a local full-precision base checkpoint. A new adapter stays separate until held-out comparisons and factual/safety checks pass. Training does not earn Points or replace the installed Qwen model.
Qwen training documentation ↗Scientific progress.
Medicine methods come first. Compatible desktop Nodes run fixed public conformer and explicit-solvent protein controls, then a separate account reproduces the calculation. These short controls establish numerical reliability; they do not discover medicines or earn Points.
Checking the scientific queue…
A larger conformer search or half-timestep check may follow once. Unsupported disease-specific protocols, docking, free energies and clinical assessment remain unavailable. Solver errors and invalid inputs are retained as diagnostics, not negative scientific conclusions. Existing rewards and private chemistry are preserved.