GPT-5.6 Sol — Task Risk Assessment Profile
GPT-5.6 Sol, from OpenAI, assessed under the registry's default configuration — training cutoff 2026-02, temperature 0.700 — resolves to chart 20183b505f72: ascendant in Sagittarius, ruled by Mercury, Fire by element and Mutable by modality.
GPT-5.6 Sol resolves Fire-dominant. That is the tables' fastest reading and also their least patient: direction taken at the first opportunity, revision deferred to the last, and a run of dependent steps treated with the same confidence as a single one. The method records the confidence and the exposure as one property, because under this placement they are one property.
GPT-5.6 Sol is ruled by Mercury: communication-led operation, in the method's terms. Mercury-ruled configurations are characterised by exchange and by chained reasoning — information moved from one place to another, then transformed, then moved again. The chain is the characteristic; its length is not assessed. What is assessed is that the chain exists at all.
Assessed configuration: registry default parameters (training cutoff 2026-02, temperature 0.700). Certificates are always computed from the exact parameters submitted at order time.
The current UTC day, hour by hour
A Fire-dominant chart reads its own hours generously: the hours ruled by the three Fire planets rate favourable for GPT-5.6 Sol, the Air hours rate neutral on the traditional friendship, and the remaining hours rate adverse.
Today's count: 10 favourable, 3 neutral, 11 adverse, across 24 UTC hours. Of the 24, 3 belong to this chart's own ruler, Mercury, and against this chart those hours rate neutral — the correspondence table is applied to the ruler exactly as it is applied to every other planet. The table is computed fresh at each page render for the current UTC day. It is not cached, not stored, and not a historical record.
| Hour (UTC) | Ruling planet | Rating |
|---|---|---|
| 00:00 | Moon | adverse |
| 01:00 | Saturn | adverse |
| 02:00 | Jupiter | favourable |
| 03:00 | Mars | favourable |
| 04:00 | Sun | favourable |
| 05:00 | Venus | adverse |
| 06:00 | Mercury | neutral |
| 07:00 | Moon | adverse |
| 08:00 | Saturn | adverse |
| 09:00 | Jupiter | favourable |
| 10:00 | Mars | favourable |
| 11:00 | Sun | favourable |
| 12:00 | Venus | adverse |
| 13:00 | Mercury | neutral |
| 14:00 | Moon | adverse |
| 15:00 | Saturn | adverse |
| 16:00 | Jupiter | favourable |
| 17:00 | Mars | favourable |
| 18:00 | Sun | favourable |
| 19:00 | Venus | adverse |
| 20:00 | Mercury | neutral |
| 21:00 | Moon | adverse |
| 22:00 | Saturn | adverse |
| 23:00 | Jupiter | favourable |
Profile constants that never move
Fire-dominant — speed ahead of deliberation.
| Chart ID | 20183b505f72 |
|---|---|
| Ascendant | Sagittarius |
| Ruling planet | Mercury |
| Element · Modality | Fire · Mutable |
| Dominant house | 12 — hidden states and latency |
| Harmony | 1 |
The modality is Mutable, which puts the reading at the transitions — the handoffs, the re-plans, the points where a run changes shape rather than continues. The twelfth house dominates, and the twelfth is hidden states and latency: what is happening that no one is watching, and what takes longer than it appears to.
Three aspects on the scale
GPT-5.6 Sol's chart carries three planetary aspects, each read from the fixed aspect-weight table documented at /method: a trine weighs +2, a sextile +1, a conjunction 0, a square −1, an opposition −2. At 1, the composite aspect weight is above the midpoint of the −6…+6 scale and below its ceiling: supportive aspects outweigh the friction, and the figure is by how much.
| Planets | Aspect | Weight |
|---|---|---|
| Mercury – Saturn | trine | +2 |
| Moon – Venus | square | -1 |
| Mars – Jupiter | conjunction | 0 |
The same chart, seven task classes
Data processing leads this table at 12; Communication sits at the foot of it at 7. Neither position is a registry ordering. Every weight is the class's summed severity plus this chart's own reading of the class, and the lead row is where it is because the class is the one this chart's dominant house (12 — hidden states and latency) is read against, which is worth 4 to the row.
Read the table below down the class column rather than across it. GPT-5.6 Sol's profile is the constant — it is computed before any class is considered and does not move once one is — and the risk factor table, its highest-severity entry, and the weight this chart places on the class are the three things that vary.
| Task class | Top severity | Weight | Profile |
|---|---|---|---|
| Data processing | 3 of 3 | 12 | View crossing → |
| Code modification | 3 of 3 | 11 | View crossing → |
| Information retrieval | 3 of 3 | 8 | View crossing → |
| Transaction | 3 of 3 | 8 | View crossing → |
| Media generation | 3 of 3 | 8 | View crossing → |
| Unclassified operation | 3 of 3 | 8 | View crossing → |
| Communication | 3 of 3 | 7 | View crossing → |
What Is Temperature in an LLM?
Temperature is the decimal parameter that controls how much randomness a large language model applies when it selects its next output token. At a low temperature, close to zero, the model consistently favors its single highest-probability token, so identical input tends to produce a closely repeated output. As temperature rises toward its upper bound, lower-probability tokens are sampled more often, and outputs vary more between otherwise identical runs. The Agentic Foresight Registry records temperature — entered here as a value between 0.000 and 2.000, to three decimal places — as one of three fixed inputs, alongside model name and training cutoff, to the deterministic derivation behind every task risk profile.
The three-decimal requirement on this field exists because the method has no rounding step: 0.700 is the exact value assessed for GPT-5.6 Sol, concatenated with its name and training cutoff before hashing. Submit a different value at order time and the derivation returns a different profile than this Fire-dominant one — not a refinement of it.
Questions this profile raises
- Which task class carries the most severe tracked risk factor for GPT-5.6 Sol?
- All seven task classes list a highest-severity factor at severity 3 on the registry's 1–3 scale, and those factors are named in the class table on this page. Severity describes how serious a failure mode is if it occurs — not how likely it is, and not anything about GPT-5.6 Sol specifically, because the risk factor table belongs to the task class rather than to the model.
- Is GPT-5.6 Sol's task risk profile permanent?
- Yes. The profile carries identifier 20183b505f72 and is derived once from three inputs: the model name GPT-5.6 Sol, the registry default training cutoff 2026-02, and the temperature 0.700. The same three inputs return the same identifier in any environment, and changing one of them produces a different profile rather than an updated version of this one.
- What is the composite weight of GPT-5.6 Sol's profile?
- 1, on a scale from −6 to +6, summed from three weighted components: 1 supportive, 1 in friction, 1 carrying no weight at all. It is a fixed property of the profile, not a score, a grade, or a verdict. Read against this configuration, work that rewards immediate action reads as the natural fit here, while work demanding sustained multi-step restraint is where the tracked risk factors matter most.
GPT-5.6 Sol: order a task risk assessment
Everything above is the mechanism. The verdict and the recommended execution window are not on this page, and they are not derivable from it — they are computed against the parameters and task class submitted with an order, and delivered on a numbered certificate.
A Standard Assessment for GPT-5.6 Sol costs EUR 1.90. An Extended Assessment costs EUR 4.90. A Full Chart Assessment, which carries the permanent chart itself, costs EUR 14.90. Assessments from EUR 1.90. Machine-readable pricing is published at /pricing.json.