@AlexanderBPeck @colossusPhD @BNONews That had 17,000 feet to recover? I'm not a pilot so I don't know enough. Does this type of ATR have stall warning sensors? And how difficult is it to recover from a flat spin in a turboprop?
Q* Leaked info:
Source: An unspecified PasteBin.(L-I-N-K in next post)
Can't confirm the authenticity as it's from unknown source but you can have a look.
Q* is a dialog system conceptualized by OpenAI, designed to enhance the traditional dialog generation approach through the implementation of an energy-based model (EBM).
Distinct from the prevalent autoregressive token prediction methods, Q* aims to mimic a form of internal deliberation akin to human thought processes during complex problem-solving, such as chess playing, where a deeper analysis of potential moves leads to better decision-making compared to rapid, less considered responses. This model shifts focus towards the inference of latent variables, reminiscent of constructs in probabilistic models and graphical models, fundamentally altering how dialog systems operate.
Energy-Based Model for Dialog Generation
At the core of Q* is the EBM, which operates by assessing the compatibility of an answer to a given prompt through a scalar output. This output signifies the "energy" of the response, where a lower value indicates a high compatibility (a better answer) and a higher value suggests low compatibility (a poor answer). This mechanism allows Q* to evaluate potential responses holistically, moving beyond the sequential prediction of tokens to understand the underlying relevance and appropriateness of an answer to the prompt.
Optimization in Abstract Representation Space
The innovation in Q* lies in its optimization process, conducted not within the space of possible text strings but in an abstract representation space. Here, thoughts or ideas are represented in a form that allows for the computational minimization of the EBM's scalar output, akin to finding the path of least resistance in a landscape. This process involves gradient descent, a method for finding the minimum of a function, applied to iteratively refine these abstract representations towards those that yield the lowest energy in relation to the prompt.
From Abstract Thought to Textual Response
Once an optimal abstract representation — one that minimizes the EBM's output — is identified, Q* employs an autoregressive decoder to transform this abstract thought into a coherent textual response. This step bridges the gap between the non-linguistic, conceptual understanding of the dialog system and the linguistic output required for human interaction.
Training the System
The EBM within Q* is trained using pairs of prompts and responses, adjusting the system's parameters to minimize the energy for compatible pairs while ensuring that incompatible pairs result in higher energy levels. This training process can incorporate contrastive methods, where the system learns to differentiate between compatible and incompatible pairs, and non-contrastive methods, which involve regularization techniques to control the distribution of low-energy responses across the space of all possible answers.
Implications for Dialog Systems
Q*'s approach, leveraging EBMs for dialog generation, represents a significant departure from traditional language modeling techniques. By optimizing over an abstract representation space and utilizing gradient-based inference, Q* introduces a more efficient, reasoned, and potentially more powerful method for generating dialog responses. This system not only promises improvements in the quality of generated text but also offers a blueprint for future advancements in AI's ability to engage in human-like reasoning and conversational interactions.
Technical Considerations
Q*'s effectiveness hinges on the intricacies of its EBM, the optimization landscape it navigates, and the accuracy of its abstract representations. The model's capacity to simulate deep reasoning, akin to human deliberation, sets a new benchmark for dialog systems. Furthermore, the method of training Q*—balancing the need for specificity in correct responses while avoiding the collapse of energy levels across diverse inputs—poses unique challenges and opportunities for AI research.
Here are today's AI headlines:
[1] Former Google DeepMind Co-founder Takes Helm at Microsoft's New AI Division
[2] Stability AI Unveils Breakthrough in Video Technology with Stable Video 3D (SV3D)
[3] Google DeepMind Teams Up with Liverpool FC to Revolutionize Soccer Strategy with TacticAI
[4] Databricks Bolsters Data Quality Capabilities for Next-Gen AI Applications with Lilac Acquisition
[5] Saudi Arabia Unveils Ambitious $40 Billion AI Investment Fund in Collaboration with Andreessen Horowitz
To read more, check out:
https://t.co/4zvQReOde1
@sama "I'm sorry, but I was unable to generate images based on the description due to our content policy. Please let me know if there's any other way I can assist you or if you have any other requests."
@DILLIGAS141 @JudithCollinsMP We don't need a "major vax drive". The MMR vaccine has been part of the usual child vaccination regime for a long time. If patents take children to their GP or are engaged in Plunket they will be offered it.
It's basic stuff. It's not new and it's not controversial.
@daihenwood Politics are in NZ are mostly tribal. Most voters make decisions on personality and ideology and have little awareness outside of two or three policies.
Yesterday I shared an idea to support Ukraine by booking rooms for rent on AirBNB. 24 hours later, 100's of people are booking AirBnBs in Ukraine as a way to send immediate monetary assistance to people in hard-hit areas. The messages in response from the hosts are so moving
@LouieTheRed1@GlennJeffrey8 The same can be said of teachers. If they can't understand even the basics of the scientific method then they have no place teaching anyone.
@MariaSherwood2 I didn't have any side effects from either. It's interesting how variable side effects can be from person to person. I'm not sure if it's related to frequently getting other vaccines or not. Flu shot every year and others for travel.
@seanwaters1820@Astropin @vandermghi @I033876 @100trillionUSD The market cap is determined by last price X coins in circulation. Plus, many coins have been lost and only a small proportion are actually traded at any given time. So not an indication of dollar inflows.
@GoHomeGenter@AnnieWu92474030@JulieAnneGenter They're "raping the world for resources" as you put it make cheap products for you and I. It's sometimes called "third-worlding". Despite that our per capita GHG emissions are far higher than China.
@henrycooke I wonder if some entrepreneurial soul will start selling masks with "face nappy" printed across the front. That cracked me up. I love a good face nappy with a funny slogan.
@40South@FlyAirNZ It's largely irrelevant if they don't allow unvaccinated people to fly. Most countries won't let you enter without being fully vaccinated.