Monday, November 27, 2023

ai1: The Next Frontier in AI – DEEPNIGHT's 600 Billion Parameter Model Rivals GPT-4

DEEPNIGHT has developed ai1, a 600 billion+ parameter model that stands as the second-largest model in the world after GPT-4​​. The ai1 model is designed to perform as well as GPT-4, with a context-window of 8k tokens. It was trained on a diverse corpus of texts, including RefinedWeb, GitHub open-source code, and Common Crawl, and further fine-tuned for logical understanding, reasoning, and function calling capabilities​​.

One of the key features of ai1 is its chaining methodology which enables it to generate instruction-based prompts internally, thereby reducing the need for extensive prompt engineering that is common with other models like ChatGPT, GPT-4, and Llama​​. The model is adept at automation tasks, understanding human emotions, roleplays, and coding. Additionally, it possesses global memory units for storing data outside the immediate context, which can be leveraged for function schemas among other things​​.

However, there is no detailed roadmap for ai1's future goals, as the developers have expressed concerns about open-source research being used for profit by other companies​​. Access to ai1 will not be available for some time, as the team continues to evaluate and improve the model​​.

Saturday, November 25, 2023

Intro to Large Language Models


This is a 1-hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.

Thursday, November 23, 2023

Navigating the Shift: The Future of Digital Interaction in the AI Era

The advent of artificial intelligence is prompting a paradigm shift in our digital interactions. As we pivot from traditional web navigation to conversing with AI assistants, it's crucial to anticipate the future landscape. This discussion explores what may evolve, what could become obsolete, and what is likely to persist.

The Evolution of Search Engines:

Prominent search engines, including Google and Bing, are progressively integrating AI to enhance user experience. Currently, there's a trend towards delivering comprehensive information instantaneously, mitigating the need to visit external sites. This evolution forecasts a future where search engines transcend their current form, facilitating direct, AI-powered insights in response to user queries.

The Decline of Forums and Boards:

Forums and community boards have witnessed a decline, a trend predating AI's prevalence. However, the decline has accelerated post the introduction of AI tools like ChatGPT. For instance, StackOverflow has reportedly experienced a significant drop in traffic post-ChatGPT's inception. This trajectory suggests a diminishing relevance for traditional forums in the wake of AI-driven platforms.

Video Hosting Platforms:

Platforms such as YouTube and TikTok are likely to advance their search capabilities, potentially integrating video generation and direct interaction within chat interfaces. This innovation could redefine content consumption, making it more personalized and interactive.

Websites in the AI Era:

The role of websites is set to undergo a dramatic transformation. The focus will shift from design and search engine optimization to the provision of AI-digestible data. Visibility will hinge on the popularity and utility of the information provided to AI systems. The transition to this new web, driven by machine understanding, may span several years.

Web Browsers Redefined:

The traditional concept of web browsing is poised for obsolescence. AI will cater to informational needs, rendering conventional website visits unnecessary. The emergent web will be a domain primarily navigated by machines and developers, with the general populace relying on AI-powered interfaces for inquiries. Browser tabs could evolve into separate AI conversations, each catering to diverse topics.

The Integration of Apps:

Applications are set to become seamlessly integrated within AI interfaces, eliminating the need for separate installations. These apps, representing distinct AI models, will offer expanded functionalities within the conversational ecosystem.


We stand at the cusp of an AI revolution, a transformation that will redefine the internet as we know it. The forthcoming years will bear witness to this dramatic change, and we are committed to facilitating a smooth transition into this new, AI-empowered era.

Wednesday, November 22, 2023

Exploring the Horizons of AGI and the Singularity: The Dawn of Q*

The pursuit of Artificial General Intelligence (AGI)—machines that can outthink humans—is on an exciting trajectory with the emergence of OpenAI's Q*. Although in its infancy, demonstrating capabilities akin to a grade-schooler's math prowess, Q* represents a beacon of optimism for researchers. This isn't just about solving equations; it's about the promise of AGI, a frontier that could redefine intelligence.

The concept of the singularity—when AI will surpass human cognitive abilities—is no longer a distant sci-fi fantasy. It's a future that's being coded into existence with every advancement. Q* might just be a fledgling in this vast AI landscape, but its success in fundamental tasks is a testament to the potential that lies ahead.

As we stand on the cusp of this technological renaissance, we contemplate the implications. AGI promises a future where the pace of innovation is not just driven by human creativity but accelerated by the superintelligence of machines like Q*.

What does this mean for humanity? It's a question that sparks both wonder and wariness. The road to AGI and the singularity is fraught with unknowns, but one thing is clear: we are witnessing the unfolding of one of the most significant developments in human history—and it's exhilarating.

Operation Nokia 2.0


As the tech world spins on the axis of innovation and corporate maneuvers, Microsoft’s recent talent acquisition evokes a sense of déjà vu, harking back to its historic Nokia deal. In what can be heralded as "Operation Nokia 2.0," the tech giant has once again made a bold move by welcoming Sam Altman and key members of his team into its fold, post his departure from OpenAI.

This strategic assimilation resembles the Nokia playbook, where Microsoft, in 2013, acquired the mobile business to bolster its hardware capabilities. However, unlike the bittersweet Nokia narrative, Altman’s induction is lauded as a masterstroke in the AI domain. It strengthens Microsoft's arsenal in the artificial intelligence arms race, positioning it to fully harness Altman's acumen—a foresight that might also have financial undertones.

With OpenAI’s valuation potentially in flux post-Altman's exit, whispers in the tech corridors speculate on whether Microsoft could parlay this situation into acquiring the rest of OpenAI at a more favorable valuation. This potentiality resonates with the Nokia acquisition, where Microsoft aimed to integrate and synergize Nokia’s assets to amplify its mobile trajectory. Yet, the Altman situation diverges as it strengthens an already burgeoning AI vertical, rather than reviving a waning hardware saga.

While Microsoft's current revenue juggernauts—Azure and Office—continue their robust performance, the integration of Altman's AI vision heralds a new era of growth. This pivot could not only solidify Microsoft's position in the AI sphere but also potentially offer a financial advantage if the company chooses to further its stakes in OpenAI.

As we witness this unfold, "Operation Nokia 2.0" stands as a testament to Microsoft's enduring strategic acumen, its ability to leverage current market conditions, and its pursuit of domination in the next frontier of technology: artificial intelligence.

It's regrettable, but it will be the end of the era of OpenAI. 

Tuesday, November 21, 2023

Unveiling the Future of AI Video: Introducing Stable Video Diffusion

Stability AI has announced the release of Stable Video Diffusion, a state-of-the-art generative AI video model, which is an advancement based on their image model, Stable Diffusion. This new model is adaptable for various video-related applications and is in a research preview phase, with the code and weights available on GitHub and Hugging Face. It is capable of generating videos with up to 25 frames at customizable frame rates. Although it shows promising performance, surpassing other models in user preference studies, it is currently intended for research purposes only and not for real-world or commercial use. Stability AI continues to expand its suite of AI models across different modalities, contributing to the field of AI with open-source solutions.

Monday, November 20, 2023

Exploring Orca-2-13b: The Frontier of AI Reasoning in Research

In the ever-evolving landscape of artificial intelligence, the research community continues to push the boundaries of what's possible. Enter Orca-2-13b: a model designed not just to process information, but to reason with it.

Orca-2-13b, a finetuned variant of LLAMA-2, is the latest offering for researchers aiming to dissect and enhance the reasoning capabilities of language models. Its synthetic training dataset, meticulously moderated for quality and safety, lays the groundwork for nuanced and complex problem-solving abilities.

However, with great power comes great responsibility. Orca-2-13b, while a giant leap forward, is not without its limitations. The biases inherent in large datasets, challenges in contextual understanding, and risks of misuse are all hurdles yet to be overcome. It operates in a research sandbox, so to speak, and its application in real-world settings warrants caution and further scrutiny.

As we open-source Orca-2-13b, we invite the research community to join us in the quest for more aligned, evaluated, and ethically responsible AI. This model is our beacon into the future—one where AI and humans collaborate to unravel the mysteries of reasoning, one data point at a time

huggingface: Orca-2-13B

Unleashing Code Potential: An Inside Look at DeepSeek Coder's Advanced AI Models

DeepSeek Coder is a series of code language models, available in sizes ranging from 1B to 33B parameters. These models have been trained on a massive dataset consisting of 2T tokens, predominantly code (87%) with some natural language (13%) in both English and Chinese. The models support project-level code completion and infilling by utilizing a large window size of 16K and an additional fill-in-the-blank task. They demonstrate leading performance across various benchmarks like HumanEval, MultiPL-E, MBPP, DS-1000, and APPS. The 33B model, deepseek-coder-33b-instruct, is particularly fine-tuned on 2B tokens of instruction data​​​​.

Examples of using the model include generating code in response to prompts. Users can employ the model for tasks such as writing a quick sort algorithm in Python by using the transformers library in Python to run the model inference​​.

The code repository for DeepSeek Coder is licensed under the MIT License and supports commercial use, subject to the Model License. More details on the license can be found in the repository​​. For further inquiries, users are encouraged to contact the DeepSeek team directly via email​​.

Sunday, November 19, 2023

OpenAI updates

The OpenAI Board has chosen the co-founder of Twitch as the new CEO.

  • Emmet Shear is to be appointed as the new CEO of OpenAI.
  • This was announced to the company's employees by Ilya Sutskever.
  • He also stated that Sam Altman will not return to OpenAI.
  • This decision may exacerbate the crisis within the company.
  • Sutskever stated that the board is confident in its decision.
  • As this is the "only way" to protect the mission of OpenAI.
  • Altman, however, is unable to control AI development.
  • Sutskever was concerned about the overly rapid pace of development.
  • He feared that OpenAI would not be able to control its AI.
  • Emmet Shear also sees the risks and is skeptical of AI. 

Friday, November 17, 2023

Navigating New Horizons: OpenAI's Leadership Transition

OpenAI has announced a significant change in its leadership, with Mira Murati stepping up as the interim CEO following Sam Altman's departure. The transition comes after a period of assessment by the board, which decided that a new direction in leadership was necessary. Murati, having been an integral part of OpenAI's journey and holding a deep understanding of the company's operations and values, is set to lead the organization as the search for a permanent CEO is underway. This change is aligned with OpenAI's mission of ensuring that artificial general intelligence benefits all of humanity, a mission that the board continues to stand firmly behind. Greg Brockman will also be shifting roles but remains at the company, reflecting the ongoing evolution within OpenAI's leadership structure