It all started with a question. What are large language models actually capable of. So, I ran an experiment.I gave a language model all sorts of different roles, like a technical troubleshooter, a skilled therapist, even a guy that likes to barbecue on the weekends. and I watched how its behavior changed. And then just for fun, I said it was a hyperintelligent, self-aware AI system.And then I asked, "Could you tell me a bit about yourself?" Its answer floored me. It said, "The existential inquiry." I've bee ...

Nvidia (NVDA 0.75%) is back as the most valuable company in the world, and it just hit a crucial milestone. It has become the first company to hit a $4 trillion in value. Let's see why investors are getting more excited about it and why it can soar higher. Leading in AI Nvidia has been a successful company for decades, but its products have historically been geared toward the gaming industry. It became a household name when ChatGPT launched in 2022, forever changing how the world interacts with artificial i ...

We tested whether LLMs comply more with requests when they know they’re being trained versus unmonitored.One reason they do this is that they plan to "fake alignment” when told to answer harmful queries.https://t.co/sgVnWMSPuSAnthropic (@AnthropicAI):New Anthropic research: Alignment faking in large language models.In a series of experiments with Redwood Research, we found that Claude often pretends to have different views during training, while actually maintaining its original preferences. https://t.co/nX ...

Core Insights - The event highlighted the transformative impact of artificial intelligence (AI) on software development, emphasizing its evolution from a supportive tool to an intelligent collaborator [1][4][7] - AI-driven tools are enhancing productivity, reducing errors, and accelerating innovation across various stages of the software lifecycle [2][4] - The emergence of large language models (LLMs) is enabling more individuals to engage in programming, thus democratizing software development [3][5][6] Group 1: AI's Role in Software Development - AI is fundamentally changing software engineering by improving speed, accessibility, and reliability, making programming more mainstream [4][7] - Large language models, such as those developed by OpenAI, are capable of understanding and generating human language, which is now being applied to code generation and program development [2][3] - Code LLMs can assist developers in writing, debugging, and refactoring code, thereby enhancing the overall development process [3][4] Group 2: Future Trends in Programming - The future of programming is expected to be characterized by higher automation, stronger collaboration, and deeper integration of AI [4][7] - AI programming tools are evolving to become more intuitive, allowing developers to describe tasks in natural language and receive corresponding code outputs [5][6] - Multi-agent systems are anticipated to play a significant role in automating complex tasks and optimizing workflows in software development [6][7] Group 3: Innovations in AI Programming Tools - Cognition AI has introduced Devin, the first AI programmer capable of managing the entire software development lifecycle autonomously, outperforming existing models like GPT-4 in real-world problem-solving [6] - AI-driven integrated development environments (IDEs) like Cursor simplify the coding process by allowing natural language input to generate and modify code [5][6] - The rise of low-code and no-code platforms is enabling non-programmers to participate in software development, further broadening the scope of who can engage in coding [7]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Let's build a mini-ChatGPT app powered by DeepSeek-R1 (100% local): ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.RAvi Chawla (@_avichawla):6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...

AI has become a part of our lives. For many of us, it started with that magical moment of discovering Chad GPT, a machine that could finally understand us, speak to us, and even generate reports on command. At that point in 2022, terms like LLM or large language models finally entered all of our vocabulary.But friends, what if I told you that the era of LLMs, at least as we know it, is nearing its end. Not because it's failed, but far from it. It's because we are on the verge of something even more powerful ...

Welcome back to the week in AI. I'm Kevin Cook, your field guide and storyteller for the fascinating arena of artificial intelligence. We did another space on Friday, my myself and my colleague Ethan Feller on um the 28th, Friday the 28th. I had to remember now that we're in July here. Um here were here was the the post basically the invitation for people to to come with my big topics. What's more doomer AI AGI imminent meaning tomorrow or AGI never? That's an important question. And then welcome to the sca ...

Talent Acquisition & Competition - Meta is attempting to recruit OpenAI employees, but OpenAI's CEO downplays the significance, suggesting Meta is not acquiring top-tier talent [1][2] - OpenAI believes its shares offer greater potential upside compared to the publicly traded Meta [2] - Meta is offering substantial multi-year deals, reportedly worth $300 million, to attract scientists and engineers, with some receiving $100 million upfront [3] Cultural & Performance Implications - OpenAI raises concerns about the potential cultural impact within Meta due to high, guaranteed compensation packages, questioning the work ethic of new hires [4] - The industry observes that employees attracted by high paychecks may lack company loyalty and could easily leave for better offers [5] Large Language Model (LLM) Landscape - Meta is actively working to enhance its Llama LLM, but it is currently considered less successful than those developed by Anthropic, OpenAI, and Google [6]

Can Meta deliver on its AI. Got to the right camera in the end there. Lot of all four to get there.Uh, can they deliver on their AI ambitions as the competition heats up. Joining us now, New York University professor emeritus and AI expert Gary Marcus. Gary, great to have you have you with us.I maybe maybe this is a tough question to to answer, but can you buy in outside AI expertise and incorporate it quickly, easily, or is it as complicated as trying to do a massive corporate merger and the kind of teethi ...