GPT-5.6 Terra — Media generation: 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 media generation work, the placement describes the configuration producing the artefact and never the artefact it produces.

A Leo ascendant is Fire held fixed: initiative that persists rather than initiative that restarts.

This outlook is crossed against media generation work — images, video, audio, speech, and slide decks — where the operative hazard is a brief satisfied in form but not in substance, with no source and no prior version to check the result against. An artefact that looks finished is not the same claim as an artefact that is correct.

9 of the 24 hours rate favourable against this chart's element today, and 0 of those are Moon's own planetary hours — Moon being the ruler of the chart. The other 15 hours divide between the neutral and adverse bands.

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 permanent half of this reading

Chart ID7cc5c03e21db
AscendantLeo
Ruling planetMoon
Element · ModalityFire · Fixed
Dominant house1 — identity and initialisation
Harmony-1

The Moon rules here, which the tables read as responsiveness-led operation: what the configuration has just been shown is treated as the strongest influence on what it does next. First-house dominance. The reading concentrates on initialisation — the state a run is in before it has done anything.

Three aspects, one composite figure

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. The three weights sum to -1, placing this chart below the midpoint of the −6…+6 scale: friction outweighs support, and the figure is how far.

No artefact touches these weights. The aspect set is derived from the configuration trio, which contains no prompt, no resolution, and no rendered file — only a name, a cutoff, and a temperature string.

PlanetsAspectWeight
Venus – Saturn square -1
Moon – Venus square -1
Mars – Mercury sextile +1

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.

Chart and ruler disagree in this configuration: Fire against Moon's Water. The tables rate that pairing adverse and apply it unchanged, which leaves the chart's own ruler outside all 9 of today's favourable hours.

Twenty-four independent ratings for the current UTC day, computed against this profile at render time and stored nowhere.

Today's classification: 9 favourable, 4 neutral, 11 adverse, out of 24 hours. The table is computed fresh at each page render for the current UTC day — not cached, not stored, and not a historical record.

Hour (UTC)Ruling planetRating
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

Four ways a generated artefact fails

The severities below are ordered by how much of the failure survives past delivery, not by how often it occurs. GPT-5.6 Terra's configuration has no say in that ordering — the table belongs to the class.

The Registry tracks 4 risk factors for media generation 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.

Those 4 factors and their severities belong to the class, not to this profile: GPT-5.6 Terra's chart — Fire by element, Fixed by modality, ruled by Moon — does not raise or lower any of them. Profile and risk set are computed from different inputs, and neither derives the other.

The same media-generation class, elsewhere in the register

The next three models in registry order, on this same class. Nothing in these rows was written by hand — each is derived from a name, a training cutoff, and a temperature string.

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. Every row below is a media-generation crossing: the same four factors, the same severities, and no generated file anywhere in the derivation.

One of the three models below shares this chart's Fire element and classifies the current UTC day exactly as GPT-5.6 Terra does; the other two do not. No row below repeats this chart's ruler, Moon.

The temperature is 0.700 for every row. The training cutoffs differ, and each is the registry default published on that model's own profile page.

ModelAscendantRuling planetElementCrossing
Claude Fable 5 Libra Mars Air View crossing →
Claude Opus 5 Cancer Saturn Water View crossing →
Claude Sonnet 5 Aries Venus Fire 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.

Change the temperature and the profile changes with it: all three configuration inputs are hashed as one string, never separately, so no single input maps to one facet of the chart. GPT-5.6 Terra's registry-default figure is 0.700, one third of what fixed this reading at profile 7cc5c03e21db, ruled by Moon. 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 media generation, so no task class on this chart is ever assessed against a different temperature than the one stated here.

Full definition: temperature in an LLM

Questions about this crossing

Does GPT-5.6 Terra's profile change with the resolution, duration, or format of a generated artefact?
No. It is computed from GPT-5.6 Terra's configuration alone: profile identifier 7cc5c03e21db, a composite weight of -1 on a −6…+6 scale, and a 24-hour classification reading 9 favourable, 4 neutral, and 11 adverse today. No resolution, duration, or output format is an input to any of it.
What is the most serious way a media generation run can fail, as GPT-5.6 Terra's assessment rates it?
The registry tracks undefined risk factors for this class and an assessment reports undefined of them, each with its severity rating and its description. Which undefined 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 media-generation profiles appear in the table beneath GPT-5.6 Terra's?
Claude Fable 5, Claude Opus 5, Claude Sonnet 5. Each carries its own computed profile, published on its own crossing; GPT-5.6 Terra carries profile 7cc5c03e21db at a composite weight of -1. Reading a row as a rating of image, video, or audio quality is the one misreading the table invites.

Media generation, assessed per order

Everything above is mechanism: the profile, the aspect weights, today's hour classification, and the media generation risk table. The verdict and the recommended execution window are not here and are not derivable from what is — they are computed against the parameters and task class submitted with an order, and delivered on a numbered certificate for GPT-5.6 Terra on media generation work. This is a sustaining configuration, so the assessment is read across the body of a task, where a direction is held.

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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