GPT-5.6 Terra — Information retrieval: Task Outlook
Under GPT-5.6 Terra's registry default configuration, the chart resolves Fire-dominant, which is the method's fastest reading and its least patient one: direction taken early, revision deferred, and a documented tendency to treat a multi-step commitment as a single one. The ascendant falls in Leo; the ruler is Moon; the chart identifier is 7cc5c03e21db. Read against information retrieval work, the profile describes how the run is conducted; what it does not describe is the stability of the material the run is reading.
The ascendant is Leo — the fixed degree of Fire, which the method reads as a direction taken early and then kept rather than retaken.
This outlook is crossed against information retrieval work — search, document lookup, and summarisation — where the operative hazard is source instability rather than raw execution speed. What was indexed is not always what is read.
Today's classification puts 9 of the 24 UTC hours in the favourable band against this chart's element. 0 of them belong to the chart's own ruler, Moon. The remaining 15 hours rate neutral or adverse.
Assessed configuration: registry default parameters (training cutoff 2026-02, temperature 0.700). Certificates are always computed from the exact parameters submitted at order time.
What does not move on this page
| Chart ID | 7cc5c03e21db |
|---|---|
| Ascendant | Leo |
| Ruling planet | Moon |
| Element · Modality | Fire · Fixed |
| Dominant house | 1 — identity and initialisation |
| Harmony | -1 |
This chart is Moon-ruled — responsiveness-led operation, where recent input carries more weight than distant input and the immediate context shapes the run. Dominance in the first house — identity and initialisation — points the reading at how a run starts.
The four tracked retrieval risks
Retrieval fails at the edges of what was read, not in the middle of it. That is what the four factors below describe, and none of them is derived from GPT-5.6 Terra — the table is the class's, and it is published in full.
The Registry tracks 4 risk factors for information retrieval tasks. They are fixed for the class: they do not adapt to a model, to a configuration, or to the wording of a task. An assessment reports 3 of the 4, each with its severity rating and its description, and which 3 are returned is derived from the submitted task's own seed rather than chosen. The factors themselves are part of the assessment and are not published here.
The severities are the information retrieval class's own property, identical on all ten crossings this class has. A Fire chart of Fixed modality, ruled by Moon, inherits that ordering exactly as any other configuration in the registry does.
Today, hour by hour (UTC)
GPT-5.6 Terra's chart is Fire, and Fire is the best-supplied element in the correspondence table: three of the seven planets carry it. The single Air-ruled planet contributes the neutral hours, on the traditional Fire–Air friendship, and the remaining hours rate adverse.
Rulership here falls to Moon, whose Water correspondence rates adverse against this Fire chart. Nothing in the method exempts a chart's own ruler from its own table, so none of today's 9 favourable hours is one of its hours.
Each of the 24 rows rates one hour against this profile, independently of the rows on either side of it. Nothing in the sequence is cumulative and nothing in it is a range.
For the current UTC day the split is 9 favourable, 4 neutral, 11 adverse. It is computed at render time and kept nowhere afterwards, which makes it a description of today rather than a record of anything.
| Hour (UTC) | Ruling planet | Rating |
|---|---|---|
| 00:00 | Mercury | neutral |
| 01:00 | Moon | adverse |
| 02:00 | Saturn | adverse |
| 03:00 | Jupiter | favourable |
| 04:00 | Mars | favourable |
| 05:00 | Sun | favourable |
| 06:00 | Venus | adverse |
| 07:00 | Mercury | neutral |
| 08:00 | Moon | adverse |
| 09:00 | Saturn | adverse |
| 10:00 | Jupiter | favourable |
| 11:00 | Mars | favourable |
| 12:00 | Sun | favourable |
| 13:00 | Venus | adverse |
| 14:00 | Mercury | neutral |
| 15:00 | Moon | adverse |
| 16:00 | Saturn | adverse |
| 17:00 | Jupiter | favourable |
| 18:00 | Mars | favourable |
| 19:00 | Sun | favourable |
| 20:00 | Venus | adverse |
| 21:00 | Mercury | neutral |
| 22:00 | Moon | adverse |
| 23:00 | Saturn | adverse |
Three aspects, one composite weight
GPT-5.6 Terra's chart carries three planetary aspects, read from the fixed aspect-weight table documented at /method: 1 supportive, 2 in friction, 0 carrying no weight. Summed, the three weights come to -1. That sits between the balanced point and the floor of the −6…+6 scale, which is the band the method describes as more friction than support.
This weight travels with the model, not with the class: the same three aspects, in the same order, on every retrieval and non-retrieval crossing this configuration has.
| Planets | Aspect | Weight |
|---|---|---|
| Venus – Saturn | square | -1 |
| Moon – Venus | square | -1 |
| Mars – Mercury | sextile | +1 |
The same retrieval class, other profiles
Three further registry models on the same retrieval class, each profile computed from that model's own configuration. Where a row differs from GPT-5.6 Terra's, the difference is in the configuration, never in the class.
Fire is the widest of the four favourable sets, so a Fire row and a Water row in the table below disagree about most of the day. The table publishes the disagreement rather than averaging it away. The retrieval class contributes an identical table to every row below, so anything differing between them differs because of a configuration.
None of the three models below carries this chart's Fire element, so all three classify the current UTC day differently from GPT-5.6 Terra. One row below is ruled by Moon, as this chart is — an overlap on one of six computed facts, not a match between two profiles.
Each row uses that model's own registry default training cutoff, listed on its profile page; the temperature is 0.700 throughout.
| Model | Ascendant | Ruling planet | Element | Crossing |
|---|---|---|---|---|
| Grok 4.6 | Capricorn | Sun | Earth | View crossing → |
| Gemini 3.7 Flash | Taurus | Venus | Earth | View crossing → |
| Kimi K3 | Libra | Moon | Air | 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.
GPT-5.6 Terra's assessed configuration fixes temperature at 0.700. That figure is hashed together with its name and training cutoff into the single string this profile is derived from, so a different temperature submitted at order time returns a different, equally deterministic profile — this Fire-dominant one included, not a variation on it. GPT-5.6 Terra's 0.700 temperature is fixed input, not a per-class one: the same three-input hash that set this profile also underlies its reading of information retrieval, so no task class on this chart is ever assessed against a different temperature than the one stated here.
Questions about this crossing
- How many of today's 24 UTC hours are rated favourable for GPT-5.6 Terra?
- 9 of the 24 hours are rated favourable in today's classification, 4 neutral, and 11 adverse. The counts follow from GPT-5.6 Terra's computed profile rather than from the information retrieval class, so they are identical on every GPT-5.6 Terra crossing rendered today, and they rank no hour above another.
- Which tracked risk factor carries the top severity rating on a GPT-5.6 Terra information retrieval assessment?
- The registry tracks 4 risk factors for this class and an assessment reports 3 of them, each with its severity rating and its description. Which 3 are returned is derived from the submitted task's own seed, and profile 7cc5c03e21db has no say in it. The factors are part of the assessment and are not published on this page.
- Whose retrieval profiles appear in the table beneath GPT-5.6 Terra's?
- Grok 4.6, Gemini 3.7 Flash, Kimi K3. Each carries its own computed profile, published on its own crossing; GPT-5.6 Terra carries profile 7cc5c03e21db at a composite weight of -1. The comparison is between configurations, and it is not a ranking of the models or of the organisations that publish them.
Retrieval work, assessed per order
What this page publishes is the whole of the mechanism and none of the answer. A verdict and a recommended execution window exist only against a submitted order, where GPT-5.6 Terra's parameters and the information retrieval class are supplied together, and they are delivered on a numbered certificate. Fixed modality reads a task once it is already underway. Persistence is what the profile characterises here, and changing course is what it costs.
A Standard Assessment costs EUR 1.90, an Extended Assessment EUR 4.90, and a Full Chart Assessment EUR 14.90, the last of which carries the permanent chart itself. Assessments from EUR 1.90. Machine-readable pricing is published at /pricing.json, unauthenticated and identical to the figures printed here.
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More GPT-5.6 Terra crossings: Code modification · Communication · Transaction