Claims not yet due
Claims by Gary Marcus and Ed Zitron. Deadlines are judged as of 2026-10-29.
Claims not yet due (33)
These forecasts name a deadline that had not passed on the release’s reference date. They stay unresolved until it passes. A deadline that has not arrived is not a failure.
Showing 33 of 33 claims, ordered by the date first said, newest first.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“AI might someday contribute as Hassabis says, but certainly not in the next decade.”
Our reading: AI will not make the disease-curing contributions Hassabis described within the next decade, though it might someday.
Not yet due Evidence as of
Limitation: The referenced interview's scope is broad and medically imprecise.
Source: No, Dario Amodei, we will not be curing cancer and “most human disease” in five to ten years
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Absolutely absurd! I hereby offer @elonmusk a million dollar bet against his prediction that Optimus will be better than the best humans in surgery by the end of the decade.”
Our reading: Optimus will not be better than the best human surgeons by the end of the decade (Marcus bets $1M against it).
Not yet due Evidence as of
Limitation: Primary Tesla disclosures encountered access failures.
Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery
Assessment: UnresolvedSaid
Gary Marcus Forecast
“The idea that robots will be the best surgeons on earth anytime soon is absurd, and I challenged him about it on X:”
Our reading: Robots will not be the best surgeons on earth anytime soon; the idea is absurd.
Not yet due Evidence as of
Limitation: The December 31, 2029 deadline is inferred from the adjacent bet; 'anytime soon' alone supplies no precise deadline.
Source: Elon Musk’s preposterous and possibly harmful claim about robotic surgery
Assessment: UnresolvedSaid
Ed Zitron Forecast
“Hyperscalers will have sunk over $1.3 trillion dollars into generative AI by the end of 2026”
Our reading: By the end of 2026, the hyperscalers (Meta, Google, Amazon, and Microsoft) will have sunk over $1.3 trillion into generative AI since March 2022.
Not yet due Evidence as of
Limitation: The measure of money 'sunk into generative AI' is not stated, so the record may not be scorable after the deadline either.
Assessment: UnresolvedSaid
Ed Zitron Forecast
“These funds will be insufficient to cover Anthropic’s costs, as will Anthropic’s cash flow, meaning that it will have to raise at least another $200 billion in the next year.”
Our reading: Because the funds Anthropic raised in early 2026 and its cash flow will not cover its costs, Anthropic will have to raise at least another $200 billion within a year of 2026-06-08.
Not yet due Evidence as of
Limitation: No outcome evidence was gathered, because the deadline has not passed.
Source: AI Is Slowing Down
Assessment: UnresolvedSaid
Gary Marcus Forecast
“We won’t see AGI this decade, and we not even close, exactly for the reasons that he laid out.”
Our reading: AGI, defined as a system with all human cognitive capabilities, will not be achieved this decade (by the end of 2029).
Not yet due Evidence as of
Limitation: The endorsed definition is demanding but lacks a specified evaluation protocol.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Prediction: Nobody knows when this will all collapse, but 2026 will be remembered in hindsight as the year in which retail investors and index funds were left holding the bag.”
Our reading: 2026 will be remembered as the year retail investors and index funds were left holding the bag on AI investments, though the timing of the collapse is unknown.
Not yet due Evidence as of
Limitation: The sole cited investment example is contextual, not a measure of the full claimed investor outcome.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“AI can help in the search for candidate drugs, but we still need to test them. There is zero chance that we double human life span in the next decade.”
Our reading: There is zero chance that human life span is doubled in the next decade.
Not yet due Evidence as of
Limitation: The lifespan measure, population and March 2026 baseline remain unspecified.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Or even how he eventually walked that back to 2026 (which also won’t happen).”
Our reading: Elon Musk's promise of a million Tesla robotaxis, pushed back to 2026, will not be fulfilled in 2026.
Not yet due Evidence as of
Limitation: The December 31, 2026 deadline had not passed at the October 28 evaluation date.
Source: Promises are cheap
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Human domestic robots like Optimus and Figure will be all demo and very little product.”
Our reading: In 2026, humanoid domestic robots such as Optimus and Figure will be mostly demos with very little actual product.
Not yet due Evidence as of
Limitation: The evidence includes no count of Optimus, Figure or NEO units delivered to consumer homes in 2026.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Work on new approaches such as world models and neurosymbolic will escalate.”
Our reading: In 2026, work on new approaches such as world models and neurosymbolic AI will escalate.
Not yet due Evidence as of
Limitation: This is a qualitative trend forecast with several possible measures.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“We won’t get to AGI in 2026 (or 7).”
Our reading: AGI will not be achieved in 2026 or 2027.
Not yet due Evidence as of
Limitation: The evidence covers only OpenAI's statements up to about late August 2026. It does not cover other labs or later events.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“there will be tons of lab demos but getting these robots to work in people’s homes will be very very hard, as Rodney Brooks has said many times.”
Our reading: There will be many lab demos of humanoid robots in 2026, but getting them to work in homes will be very hard.
Not yet due Evidence as of
Limitation: The evidence includes no independent 2026 home trials measuring task success, failures or human intervention.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“I don’t expect my predictions to be as on target this year as last, for a happy reason: across the field, the intellectual situation has gone from one that was stagnant (all LLMs all the time) and unrealistic (“AGI is nigh”) to one that is more fluid, more realistic, and more open-minded.”
Our reading: Marcus's 2026 predictions will be less accurate than his 2025 ones because the field has become more fluid, realistic, and open-minded.
Not yet due Evidence as of
Limitation: The annual prediction sets require an explicit, consistent scoring method.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“No country will take a decisive lead in the GenAI “race”.”
Our reading: No country will take a decisive lead in the generative AI race in 2026.
Not yet due Evidence as of
Limitation: 'Decisive lead' has no threshold, and lead could be measured on several axes.
Source: Six (or seven) predictions for AI 2026 from a Generative AI realist
Assessment: UnresolvedSaid
Gary Marcus Forecast
“Instead, part of the actual outcome over the next few years will be that both countries build a lot of generative AI infrastructure — quite possibly significantly more than they actually need.”
Our reading: Over the next few years both the US and China will build a lot of generative AI infrastructure, quite possibly significantly more than they need.
Not yet due Evidence as of
Limitation: The horizon is vague. The end date of 2030 is an interpretation.
Source: The core misconception that is driving American AI policy
Assessment: UnresolvedSaid
Gary Marcus Conditional forecast
“And because he has become so tight with Silicon Valley he will also be closely tied to any AI-tinged economic debacle that happens on his watch.”
Our reading: If an AI-related economic debacle occurs during Trump's term, he will be closely tied to it because of his closeness to Silicon Valley.
Not yet due Evidence as of
Only if: if an AI-tinged economic debacle happens on his watch
Source: A sad day for America
Assessment: UnresolvedSaid
Gary Marcus Forecast
“AGI ain’t actually coming in 2027, and even Kokotajlo, known for his aggressive timelines, is now with me in thinking we probably won’t see AGI this decade.”
Our reading: AGI will not arrive in 2027.
Not yet due Evidence as of
Limitation: The AGI criterion is an ordinary-language interpretation rather than a test Marcus specified.
Source: BREAKING: The AI 2027 doomsday scenario has officially been postponed
Assessment: UnresolvedSaid
Gary Marcus Forecast
“AGI is NOT in fact coming in Trump’s second term, and never was.”
Our reading: AGI will not arrive during Trump's second term (ending January 2029).
Not yet due Evidence as of
Limitation: No single benchmark establishes the broad AGI criterion.
Source: BREAKING: The AI 2027 doomsday scenario has officially been postponed
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In retrospectives written in 2043, intellectual historians will conclude that there was an initial overemphasis on large language models, and a gradual but critical shift of the pendulum back to more structured systems with deeper comprehension.”
Our reading: In retrospectives written in 2043, intellectual historians will conclude that there was an initial overemphasis on large language models and a gradual but critical shift of the pendulum back to more structured systems with deeper comprehension.
Not yet due Evidence as of
Limitation: Future assessment will require a transparent selection of relevant historians and retrospectives.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“I predict that such counterexamples will still be easy to find at the end of 2027 because of limitations inherent in LLMs.”
Our reading: At the end of 2027 it will still be easy to find clear counterexamples where LLM-based generative AI fails at compositionality, because of limitations inherent in LLMs.
Not yet due Evidence as of
Limitation: Existing failures cannot establish that comparable failures will remain easy to find at the deadline.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“At least for the next decade, LLMs (with and without inference time “reasoning”) will continue have their uses, especially for coding and brainstorming and writing.”
Our reading: For at least the next decade LLMs will continue to have uses, especially for coding, brainstorming and writing.
Not yet due Evidence as of
Limitation: The evidence covers one provider and an interim usage period.
Source: A knockout blow for LLMs?
Assessment: UnresolvedSaid
Gary Marcus Forecast
“AI might replace average people in some tasks soon; replacing the best humans in a few years? Not going to happen.”
Our reading: AI will not replace the best humans, such as top scientists, within a few years, though it might replace average people in some tasks soon.
Not yet due Evidence as of
Limitation: The exact deadline and meaning of replacement are interpretive.
Source: Ezra Klein’s new take on AGI – and why I think it’s probably wrong
Assessment: UnresolvedSaid
Gary Marcus Forecast
“At least for another decade or two and probably more, big projects are always going to require software architects who know what they are doing.”
Our reading: For at least another 10 to 20 years, and probably longer, big software projects will require competent human software architects.
Not yet due Evidence as of
Limitation: The distinction between a substantial benchmark implementation and a big software project requires interpretation.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“If there exist AI systems that can perform 8 of the 10 tasks below by the end of 2027, as determined by our panel of judges, Gary will donate $2,000 to a charity of Miles’ choice; if AI can do fewer than 8, Miles will donate $20,000 to a charity of Gary’s choice.”
Our reading: Marcus, in a bet co-signed with Miles Brundage, takes the side that by the end of 2027 AI systems will not be able to perform 8 of the 10 listed tasks, as determined by a panel of judges: he pays $2,000 to Brundage's chosen charity if they can, and Brundage pays $20,000 to Marcus's chosen charity if AI can do fewer than 8.
Not yet due Evidence as of
Limitation: Failure to locate a ruling does not prove that none exists.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“My offer to bet him a million dollars on this nonsense stands.”
Our reading: AI will not be able to do anything any human can do within the next one to two years, and Marcus would bet a million dollars on it.
Not yet due Evidence as of
Limitation: The deadline falls after the evaluation date.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“So I don’t think we will waste more than 5 years before a substantial fraction of AI effort is looking outside the limited streetlight that currently are sucking up so much mental energy.”
Our reading: Within 5 years, a substantial fraction of AI effort will look beyond the current LLM-focused approaches.
Not yet due Evidence as of
Limitation: Research activity, staffing, and funding are different measures of effort.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In retrospectives written in 2043, intellectual historians will conclude that there was an initial overemphasis on large language models, and a gradual but critical shift of the pendulum back to more structured systems with deeper comprehension.”
Our reading: In retrospectives written in 2043, intellectual historians will conclude that there was an initial overemphasis on large language models and a gradual but critical shift of the pendulum back to more structured systems with deeper comprehension.
Not yet due Evidence as of
Limitation: The forecast leaves the author population and degree of agreement unspecified.
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In 2029, AI will not be able to reliably construct bug-free code of more than 10,000 lines from natural language specification or by interactions with a non-expert user.”
Our reading: In 2029, AI will not be able to reliably build bug-free code over 10,000 lines from a natural-language spec or from talking with a non-expert user, not counting glued-together library code.
Not yet due Evidence as of
Limitation: The cited demonstrations are developer reports, not independent evaluations satisfying the whole contract.
Source: Dear Elon Musk, here are five things you might want to consider about AGI
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In 2029, AI will not be able to read a novel and reliably answer questions about plot, character, conflicts, motivations, etc.”
Our reading: In 2029, AI will not be able to read a novel and reliably answer questions about plot, character, conflicts, motivations, etc., where the key is going beyond the literal text.
Not yet due Evidence as of
Limitation: The studies do not establish current frontier performance across the complete task or what systems will achieve in 2029.
Source: Dear Elon Musk, here are five things you might want to consider about AGI
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In 2029, AI will not be able to take arbitrary proofs from the mathematical literature written in natural language and convert them into a symbolic form suitable for symbolic verification.”
Our reading: In 2029, AI will not be able to take arbitrary proofs written in natural language from the mathematical literature and convert them into a symbolic form suitable for symbolic verification.
Not yet due Evidence as of
Limitation: The research and developer reports were read, but their generated proof artifacts were not independently rerun in this assessment.
Source: Dear Elon Musk, here are five things you might want to consider about AGI
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In 2029, AI will not be able to work as a competent cook in an arbitrary kitchen (extending Steve Wozniak’s cup of coffee benchmark).”
Our reading: In 2029, AI will not be able to work as a competent cook in an arbitrary kitchen.
Not yet due Evidence as of
Limitation: The cooking demonstrations and unfamiliar-home results concern different systems and tasks.
Source: Dear Elon Musk, here are five things you might want to consider about AGI
Assessment: UnresolvedSaid
Gary Marcus Forecast
“In 2029, AI will not be able to watch a movie and tell you accurately what is going on (what I called the comprehension challenge in The New Yorker, in 2014).”
Our reading: In 2029, AI will not be able to watch a movie and accurately describe what is going on.
Not yet due Evidence as of
Limitation: The search does not establish that no qualifying system exists.
Source: Dear Elon Musk, here are five things you might want to consider about AGI
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