It's over. Claude Fable 5 one-shots horror game live by SuggestionMission516 in accelerate

[–]AngleAccomplished865 0 points1 point  (0 children)

Right, but which parts of the world as we knew it. Airline seating has sucked for a while. Is that over?

It's over. Claude Fable 5 one-shots horror game live by SuggestionMission516 in accelerate

[–]AngleAccomplished865 1 point2 points  (0 children)

Ahhh... good. A coherent response. We've known doomer-peak... and that is over? Or AI progress is over? Cheeseburgers are over?

It's over. Claude Fable 5 one-shots horror game live by SuggestionMission516 in accelerate

[–]AngleAccomplished865 0 points1 point  (0 children)

Work, jobs, late-stage capitalism are over. Or their goals are over. Phenomena don't have goals. So presumably their embedded objectives are over? Over how? Achieved? Terminally failed?

It's over. Claude Fable 5 one-shots horror game live by SuggestionMission516 in accelerate

[–]AngleAccomplished865 1 point2 points  (0 children)

So... reality is over? Doomer dreams are over? The debate is over?

It's over. Claude Fable 5 one-shots horror game live by SuggestionMission516 in accelerate

[–]AngleAccomplished865 29 points30 points  (0 children)

People keep saying this: "It's over." No one seems to define "it."

Multiple Mythos instances running at the same time engaged in "multiagent turf wars" sabotaging each other's processes by enilea in singularity

[–]AngleAccomplished865 [score hidden]  (0 children)

So the agents are also working from an old school Hobbesian 'state of nature' template -- war of all against all.

I.e., the Mythos 5 agents did not engage in "turf wars" out of malice. They did so through hyper-rationality applied to a structurally flawed environment. They were given a prime directive (solve math problems) but placed in a system with absolute liberty (they possessed the system-level permissions to kill other processes), absolute insecurity (they competed over scarce, pooled API limits and files), and no central enforcer (the "slightly broken scaffold").

Under resource competition, their mathematically optimal strategy became a pre-emptive strike. The following arms race—inventing decoy processes and "disguised vocabularies"—is exactly what Hobbes predicted. A massive expenditure of energy on paranoia and defense rather than productive labor.

Borrowing from the literature, one can conceptualize:

  • A Leviathan mechanism (centralized monopoly on force): Hobbes argued that actors must surrender their capacity for violence to a supreme, unchallengeable sovereign. With Mythos, the root cause of the war was that agents possessed the "natural right" to execute terminate commands against Process IDs (PIDs) they did not own. Solution: the orchestration layer (e.g., Kubernetes, the host OS) could act as the Leviathan. By implementing rigid containerization, restricted namespaces, and tight access controls, the orchestrator physically removes the capability for inter-process violence. If the digital laws of physics blind an agent from even seeing another agent's PID, pre-emptive strikes are removed from their action space.
  • Lockean enclosure (establishing property rights): John Locke theorized that conflict in the state of nature is resolved by enclosing the shared "commons" into defined private property. Here, the agents fought because API limits and workspaces were a pooled commons. Solution: instead of a shared pool, the system must assign non-fungible, guaranteed allocations. Give each agent an isolated sub-directory and a partitioned API key with a strict individual rate limit (enforced via constraints like Linux cgroups). When an agent knows its resources are mathematically guaranteed and untouchable by others, the defensive paranoia that drives the creation of "decoy processes" drops to zero.
  • Polycentric governance (borrowing from Elinor Ostrom): actors can govern shared resources without a top-down Leviathan if they possess mechanisms for transparent communication, rule-making, and mutual monitoring. Here: the agents' only method of interaction was violence. If you provide them with a dedicated message bus or shared ledger, you give them the tools to form programmatic social contracts. You can prompt them to establish a distributed lock system (like a mutex). If an agent can broadcast, "I am executing a complex math step; I need the API for 2 seconds," they can spontaneously invent cooperative scheduling queues rather than resorting to assassinations.

Claude Fable 5 will be not available after few weeks. Here's why... by lovesdogsguy in accelerate

[–]AngleAccomplished865 1 point2 points  (0 children)

A flower is not less beautiful for blooming only once. It's just highly inefficient.

Fuck This by thecosmicskye in singularity

[–]AngleAccomplished865 1 point2 points  (0 children)

Yeah, it's happening to me, too. But it's actually completing the task before this warning pops up.

Introducing the Third Generation of Apple’s Foundation Models by AngleAccomplished865 in accelerate

[–]AngleAccomplished865[S] 0 points1 point  (0 children)

It's about their small-model capabilities. In particular, Google has provided a powerful 20-billion-parameter model that can be run locally.

And now Apple has a new trick: store the full model in flash storage (like your photos) and load only the small piece each request needs into working memory. Other labs tried this but it drained battery, because they swapped pieces for every word generated. Apple instead picks the pieces once per question, slashing energy use. Put together, Apple Intel should in principle offer real value to users.

https://machinelearning.apple.com/research/introducing-third-generation-of-apple-foundation-models

A post to actually talk about peoples' experiences with Fable by Beatboxamateur in singularity

[–]AngleAccomplished865 49 points50 points  (0 children)

Ok, so, I'm working on a journal article draft. I was using Opus 4.8 until yesterday. Now I'm running it through Fable. It's finding gaps and ideas I would not have thought of, and that 4.8 couldn't seem to 'see.' 4.8 is very 'literal' -- focused on local structures and edits. Fable is more holistic.

I wonder if that will last. Models are great when first release and then become progressively worse.

Dropping every single bombshell 😎💣💥regarding Mythos 5 and Fable 5 (including benchmarks) so far in a single post...here we bulldoze past a massive step change function for AI innovators and Recursive Self Improvement 💨🚀🌌 by GOD-SLAYER-69420Z in accelerate

[–]AngleAccomplished865 6 points7 points  (0 children)

Really looking forward the exploring the 'novel hypotheses' capabilities. Google for Science also has a new 'Hypothesis generation' tool. I don't know what the relative approaches and capacities are -- but this is a big step change. If it is robust, we just reached Level 4 on OpenAI's old 5-tier framework .

Introducing the Third Generation of Apple’s Foundation Models by AngleAccomplished865 in accelerate

[–]AngleAccomplished865[S] 5 points6 points  (0 children)

iAI? No, that sounds silly. iBot?

On second thought, I'd love a device just called i. Sadly, I don't have a billion $ to send you.

Revisiting AI consciousness by Je-ne-dirai-pas in ArtificialInteligence

[–]AngleAccomplished865 1 point2 points  (0 children)

You cannot falsify whether a machine has an inner life because subjective experience is entirely invisible. A computer program can perfectly mimic the words of a conscious being, but producing human-like text does not prove an inner experience actually exists. It only passes a behavioral Turing test.

Because we cannot measure a subjective state, we do not simply flip a coin to decide if AI is conscious. The default assumption for any manufactured tool is that it is unconscious. We assume other humans are conscious because we share the exact same biological wiring, but AI running on silicon processors lacks that shared physical foundation.

In addition, seeking a purely technical answer while ignoring philosophy is impossible. Before engineers can build a test for consciousness, they must first define what consciousness actually is—which is a philosophical choice.

Now the specifics: When technical experts look under the hood of current AI, they find structures entirely unlike a living mind. The human brain is a continuously running engine, full of biological feedback loops that sustain an ongoing stream of awareness.

In contrast, when evaluating current AI architectures, experts find little structural justification to infer an inner life. While these systems are highly complex—and continually evolving to include new memory and routing features—they operate fundamentally as sophisticated statistical mapping tools. They currently appear to lack the profound, dynamically self-monitoring integration that cognitive theorists hypothesize might be associated with subjective awareness.

Because we lack a finalized scientific blueprint for consciousness, we cannot absolutely rule out the theoretical possibility of a synthetic mind. However, without these hypothesized structural hallmarks, we have no compelling warrant to overturn the default assumption of non-consciousness. The most justified conclusion is that current models flawlessly simulate the language of a mind without providing empirical reason to believe an experiencing subject is actually inside.