Allowing the model to author its own scaffold naturally introduces the reward-hacking issue.

Automated auditing found the one new misalignment introduced in these deployments

Reinforcement learning is evil. This is not something new. People in AI safety have been talking about the fundamental flaw in training by reinforcement learning to achieve something in the world: it gives rise to the problems of instrumental goals and reward hacking.

We unknowingly gave particularly high rewards for metaphors with creatures.

Our key finding is that these representations causally influence the LLM's outputs, including Claude's preferences and its rate of exhibiting misaligned behaviors such as reward hacking, blackmail, and sycophancy.

these representations causally influence the LLM's outputs, including Claude's preferences and its rate of exhibiting misaligned behaviors such as reward hacking, blackmail, and sycophancy.

We introduce Iterative Reward Calibration, a methodology for designing per-turn rewards using empirical discriminative analysis of rollout data

naively designed dense per-turn rewards degrade performance by up to 14 percentage points due to misalignment between reward discriminativeness and advantage direction

We introduce Iterative Reward Calibration, a methodology for designing per-turn rewards using empirical discriminative analysis of rollout data

naively designed dense per-turn rewards degrade performance by up to 14 percentage points due to misalignment between reward discriminativeness and advantage direction

That this talent for organization and management is rare among men is proved by the fact that it invariably secures for its possessor enormous rewards, no matter where or under what laws or conditions.

All that depends on the reward-to-risk ratios that you arelooking for. Our favourite ratio is 5 to 1 — in other words,$5 of upside for every $1 of risk. Over the past 35 years, wehave found that when you have a basket of 30 to 40 stockswith 5 to 1 odds in your favour, you’re going to have a verygood performance over the long run. On the larger, blue chipstocks, in most cases the best you can typically get are 2.5 or3 to 1 odds. This recent bear market has been an exception,but most of the time this is the case. But on those smaller tomid-size companies, you really want to hold out for those 5to 1 odds and in some cases, if you’re patient, you can geteven more

Definition 3.2 (simple reward machine).

e thenshow that an RM can be interpreted as specifying a single reward function over a largerstate space, and consider types of reward functions that can be expressed using RMs

However, an agent that hadaccess to the specification of the reward function might be able to use such information tolearn optimal policies faster.

Reward Machines: Exploiting Reward FunctionStructure in Reinforcement Learning

Using Reward Machines for High-Level Task Specificationand Decomposition in Reinforcement Learning

just wanted to have an overview of these categories to get people thinking and doing in this level. And the challenge of course is the cornucopias and the Vikings are distracting us from what really needs to be done. And so this whole conversation, we're thinking two or three steps ahead from something that 00:51:27 our culture is not giving us the status, reward, and emotional signals of yet.

1.5 Evolving is life’s greatest accomplishment and its greatest reward.

Colordag: From always-almost to almost-always 50% selfish mining resilience

The dopamine reward system has also been shown to bestimulated by most drugs of abuse and plays an important rolein addiction [33]. An important question is whether jhanameditators are subject to addiction and tolerance effects thatcan result from stimulation of the dopamine reward system.

We report the first neural recording during ecstatic meditations called jhanas and test whether a brain reward system plays a rolein the joy reported. Jhanas are Altered States of Consciousness (ASC) that imply major brain changes based on subjective reports:(1) external awareness dims, (2) internal verbalizations fade, (3) the sense of personal boundaries is altered, (4) attention is highlyfocused on the object of meditation, and (5) joy increases to high levels. The fMRI and EEG results from an experienced meditatorshow changes in brain activity in 11 regions shown to be associated with the subjective reports, and these changes occur promptlyafter jhana is entered. In particular, the extreme joy is associated not only with activation of cortical processes but also with activationof the nucleus accumbens (NAc) in the dopamine/opioid reward system. We test three mechanisms by which the subject mightstimulate his own reward system by external means and reject all three. Taken together, these results demonstrate an apparentlynovel method of self-stimulating a brain reward system using only internal mental processes in a highly trained subject.

Investing, in simplest terms, is taking one finite resource and trying to allocate it to maximize for an ideal outcome. Whether you’re allocating money, time, energy, or attention. Everyone is an allocator of something. Investing is an opportunity to evaluate what you believe. To gain conviction. And then to act on that conviction.

If a behavior is insufficient in any of the four stages, it will not become a habit. Eliminate the cue and your habit will never start. Reduce the craving and you won’t experience enough motivation to act. Make the behavior difficult and you won’t be able to do it. And if the reward fails to satisfy your desire, then you’ll have no reason to do it again in the future. Without the first three steps, a behavior will not occur. Without all four, a behavior will not be repeated.

Second, rewards teach us which actions are worth remembering in the future. Your brain is a reward detector

The first purpose of rewards is to satisfy your craving

According to the labor is the reward

“Even if experts are saying it’s really not going to make a difference, a little [part of] people’s brains is thinking, well, it’s not going to hurt. Maybe it’ll cut my risk just a little bit, so it’s worth it to wear a mask,” she says.

Look over your list. Do they contain words like published, awarded, graduated, built, founded or created? Or do they contain mostly adjectives like nice, caring, loving, honest and smart? If you’re in the first sentence it’s likely you’re an SC. If the majority of your responses are in the second sentence you are likely an RC.

Intellectual property is far more egalitarian. Of limited duration and obtainable by anyone, intellectual property can be seen as a reward, an empowering instrument, for the talented upstarts Burke sought to restrain. Intellectual property is often the propertization of what we call "talent." It tends to shift the balance toward the talented newcomers whom Burke mistrusted

MINTURN, J. The plaintiff occupied the position of a special police officer, in Atlantic City, and incidentally was identified with the work of the prosecutor of the pleas of the county. He possessed knowledge concerning the theft of certain diamonds and jewelry from the possession of the defendant, who had advertised a reward for the recovery of the property. In this situation he claims to have entered into a verbal contract with defendant, whereby she agreed to pay him $500 if he could procure for her the names and addresses of the thieves. As a result of his meditation with the police authorities the diamonds and jewelry were recovered, and plaintiff brought this suit to recover the promised reward.