MODELS

GPT-5.6 Sol Pro

OpenAI’s flagship GPT-5.6 Sol in pro reasoning mode — the highest-capability option for difficult, longer-running work.

Released
9 Jul 2026
Developer
OpenAI
Context window
1.05M tokens
Modalities
  • Text
  • Image
Pricing / 1M
$5 in · $30 out
Reasoning depth
  • Low
  • Medium
  • High (used for these runs)
  • xHigh
PROMPT
329 WORDS

Mass Intelligence will not be a billion independent geniuses. It will be a billion people drawing from a handful of systems built by a handful of institutions. That distinction should govern everything we do next.

The first priority is to distribute power, not merely access. Giving everyone a chatbot while a few companies control the models, chips, data, and rules is not democratization; it is dependency at planetary scale. Governments should enforce interoperability, fund public-interest models and compute, prevent anticompetitive concentration, and require meaningful transparency when AI influences employment, credit, education, medicine, or justice.

Second, we must stop treating human judgment as an inefficiency to be automated away. AI should widen the field of options; accountable people should make consequential decisions. “The model said so” can never be an acceptable defense. Every high-stakes system needs a named human owner, a route for appeal, and liability when predictable harm occurs.

Third, education must change from memorizing answers to interrogating them. Everyone should learn how models fail: confident fabrication, hidden bias, manipulation, and the laundering of assumptions into apparent facts. The essential skills of the Mass Intelligence era are framing good questions, checking evidence, understanding incentives, and knowing when not to delegate.

Fourth, prosperity must be shared. If AI dramatically raises productivity while wages, bargaining power, and public services stagnate, political instability is not an accident—it is the business model. Tax systems should capture a fair portion of AI-generated rents and invest it in universal basics, worker transitions, scientific research, and shorter working lives. People deserve a dividend from technologies trained on humanity’s collective inheritance.

Finally, we need cultural restraint. Not every friction should disappear; not every intimate relationship should be simulated; not every persuasive capability should be commercialized. Some inefficiencies—deliberation, consent, practice, human contact—are where dignity lives.

Surviving Mass Intelligence is therefore not mainly a technical challenge. It is a contest over ownership, accountability, education, and the meaning of a good life. AI can enlarge human agency, but only if we deliberately prevent it from concentrating power and shrinking responsibility. The goal is not a world that thinks for us. It is a world in which more people can think, choose, and flourish for themselves.