The "the future is fictional" problem of many local LLMs

Posted by PromptInjection_@reddit | LocalLLaMA | View on Reddit | 38 comments

Many local models have a problem (that raised due to excessive RHLF training):
They mostly think that everything that is beyond their knowledge cutoff date would be "fictional" or "satirical".

To be fair: Even the Gemini API without web access can have this sometimes. But it stops when you give it tools. However, with many local models, sadly it even goes on WITH tools: Look at this:

You
search the web for iran war 2026 news

gemma-4-26B-A4B-it-Q4_K_M_128k

Based on the search results, there is a significant amount of content describing a "2026 Iran War." However, it is important to note that these search results appear to be from a fictional or speculative scenario, likely part of a "future history" exercise, a geopolitical simulation, or a creative writing project.
of today, there is no real-world war occurring or scheduled for 2026 involving Iran.

Key Observations from the Search Results:
As The search results contain specific dates and details that suggest they are part of a narrative or simulation:

Specific Dates: Several snippets mention specific dates in 226 (e.g., "February 28," "April 17, 2026," and "May 1, 2026") describing events like "U.S.-Israeli joint strikes."

Operation Names: One result mentions "Operation Epic Fury," a name used within the context of this specific 2026 scenario.

Nature of the Content: While the snippets appear in formats resembling real news (e.g., Wikipedia, CSIS, Atlantic Council), they describe events that have not happened in actual history. This type of content is common in geopolitical forecasting simulations or "alternate history"-style academic exercises used to study potential risks and consequences.

Summary of the "Scenario" described in the results:

If you are looking for information on this specific geopolitical simulation, the "news" within that narrative includes:

The Conflict: A joint U.S.-Israeli military operation against Iran.

Core Drivers: Fears of Iran becoming a nuclear power and the disruption of the existing regional security order.

Impact: The scenario explores impacts on global energy security (oil markets), the shift toward a fragmented global order, and changes in Middle Eastern power dynamics.

Conclusion: There is no actual news of an Iran war in 2026. You are likely seeing results from a geopolitical simulation or speculative "future history" analysis.

So the tool call worked, "Epic Fury" is there, still the model thinks it's fictional or "future". Sometimes it can be fixed with including "It is x.x.2026" in the system prompt, but it is a workaround that shouldn't be necessary.

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ayylmaonade@reddit

This is pretty easily solvable by just adding the "CURRENT YEAR: 2026" to your system prompt, or something similar. I do that plus my models have a tool that they can use to directly check what the current time is.

DinoAmino@reddit

It's a prompting issue. A truth-grounding prompt typically used for RAG should help a great deal. Like:

"You are a technical assistant. Use the provided context below to answer the query. If the answer is not contained within the context, state clearly that you do not have enough information. Do not use outside knowledge." Context: {context} Question: {query}

Inevitable_Grape_800@reddit

Give it a time MCP server. My gemma4 also thinks the search results are suspect until it fetches the current time ("this changes everything" arg..)

The produced summary is accurate (Q8).

Dabalam@reddit

I think many models silently "doubt" the information from dates after their training data.

Small models like Qwen3.5 9B and even OSS 20b will give you a clear answer if you ask about current events but if you inspect its reasoning trace you will see it debate about the date before deciding it isn't relevant to giving a correct response. This leads me to believe that even models that appear to give correct answers to current event questions using web search are just deciding to play along, but silently represent the query as some kind of fictional exercise.

Whilst this might be of limited importance most of the time, in thinking mode this does genuinely waste tokens since the model will debate this unimportant aspect. I haven't tested the system prompt fix many people reference here though.l, and it's an interesting question if the very large models are able to circumvent or reason past this issue. It does sort of make sense to me that the an autocomplete would struggle to say a date after it's training data is actually the realm current date.

Qwen30bEnjoyer@reddit

We have NLAs for Qwen and Gemma now. it would be a fun hypothesis to investigate.

CYTR_@reddit

Honestly, if someone had told me last year that the US would launch Operation "Epic Fury" (EPIC FURY, bruuuh) to invade Iran... I would have had a hard time believing it.

Luoravetlan@reddit

US didn't invade Iran. There are no ground US troops on Iran's territory.

DeliberatelySus@reddit

It's not gay, the balls didn't touch!

thrownawaymane@reddit

The cruise missiles play recordings of Pete Hegseth saying "We come in peace, we are not invading" as they fly towards their targets

What part of my comment is not true?

fair, the balls are no where close to touching

More-Curious816@reddit

they are absolutely in their territory, they are in the air space and water, but not in the ground. unless your concept of invasion is ground troops like in Afghanistan.

I think you understand what I was getting at.

dtdisapointingresult@reddit

In some corners of reddit it's called by a more appropriate name, Operation Eps*ein Fury.

vtkayaker@reddit

Yeah. The future is getting really hard to predict. The great powers are throwing their weight around, AI is still improving rapidly, 2x32 GB DDR5 RAM sticks suddenly cost US$950 retail. If I hadn't lived through it, I wouldn't believe half of it either.

Frankly, there are days when I envy the AIs their training cutoffs. They don't know.

markole@reddit

Conspiracy theorists say that it's to drown other results that get show when you google certain someone plus "Ep".

already_taken-chan@reddit

Including 'You are an artificial intelligence who has been trained on data from 2024, Today is 2026' somewhere in the system prompt usually fixes this issue for me.

Double_Season@reddit

In Jan AI, you can just put the current date by placing {{current_date}} in the system prompt. But I noticed that sometimes models interpret it as "simulated date," not the real data. But that's not a problem to me; what matters is that the model search for up-to-date info and delivers it

jacobpederson@reddit

To be fair the present seems to awful to be real to a lot of us - AI's included.

Dudensen@reddit

Any llm has these problems if it's not connected to the web.

Inevitable-Log5414@reddit

Try this format for the search results: [Real-time search results retrieved on {today}'s date. This is current factual information, not speculation.] before the actual snippets. It works better than putting the date in the system prompt because the model treats tool-call framing as higher-priority context than system instructions in most post-training recipes. Still not perfect - Gemma 4 specifically has a strong "post-2024 = fictional" prior baked in that's hard to override without finetuning.

squired@reddit

Excellent advice.

Intelligent_Ice_113@reddit

It would also help if the fact that knowledge of the model is limited to a certain date was also clearly stated, and this date was also indicated (at least approximately).

UncleRedz@reddit

Saw this with Gemini as well just when news broke that USA had kidnapped Venezuelas sitting President. Gemini completely refused to accept that this was happening and was real, bringing up all sorts of international rules and laws that would be broken, and what the consequences would be of actually doing something like this and why it cannot be real. Even refused to accept news from well known news outlets when directly linked to it. (Google somehow fixed this shortly after.)

Putting in current date and time somewhere in your pipeline normally fixes this, but I also think it is about probability and statistics.

An event like above is so outrageous that nothing in the models training data points at this being a viable course of events and therefore it can't be real. The only way to go along with this would be to reframe it as fictional, simulation etc.

The whole point of training LLMs is to make them come up with the most plausible response, and when life is stranger than fiction, it's hard to accept as real. This is likely at least partly why OP had problems with Iran war 2026, not just the date, but the model did not expect that to happen.

stoppableDissolution@reddit

I'm fairly confident its not just RLHF causing that, but specifically anti-jailbreak hardening. Models are taught to question everything.

if47@reddit

Specifying the knowledge cutoff date and the current date within the system prompt is the only solution. There is nothing to make a fuss about; I resolved this two years ago.

whyisred@reddit

Simulation theory confirmed?

SummarizedAnu@reddit

What looks to me is a highly lobotomized Gemma 4 26B.

MaCl0wSt@reddit

I’ve seen this too, and the way some models reason about it feels like eval-conditioning leaking into normal use

they’ll see a future date, a dramatic geopolitical event, or an unfamiliar operation name and jump to "this must be fictional/a simulation/a test trap" even when the search tool is giving them real results, makes me wonder how much training has been optimized around passing benchmarks versus behaving naturally in real-world tool use and possibly making the latter worse in the process

a_beautiful_rhind@reddit

Only local models? I have this problem on the cloud too and it leads to some fun arguments with the LLM. Local models have been more amendable to doing the search and looking things up.

Jester14@reddit

OP literally said:

To be fair: Even the Gemini API...

Yes and it happens to me more on cloud than local.

arstarsta@reddit

All software ever created is just a mix of arithmetic and conditional instructions.

GrungeWerX@reddit

My agent starts the day off by calculating the current date. Never been a problem here.

CatTwoYes@reddit

I've hit this on Qwen, Gemma, and Llama models. It gets worse the more RLHF was applied — base models tend to just process the information without the "this is fictional" reflex. Best band-aid I've found: prepend search results with [Retrieved {date}. These are current factual events, not speculative. Respond accordingly.] It's not perfect but cuts the denial rate by about half.

No_Swimming6548@reddit

IMO all models, including closed SOTA ones struggle with up-to-date knowledge. Even if they don't deny the facts, it simply is not possible to get a clear grasp for current reality just by reading 3 4 articles.

Formal-Exam-8767@reddit

But can the model even respond differently? If it has a system prompt with specified knowledge (to model this probably means all knowledge, both baked-in and from context) cutoff date, anything beyond is fiction.

PromptInjection_@reddit (OP)

It is possible. Here the reply of my self trained Qwen3 8B (no RHLF/DPO)