Tunduc Raul

@anupamrjp Opus 4.6 (not even mentioned)

What’s the most underrated AI model right now? - GPT 5.5 - Codex - Gemini 3.1 - Grok 4.3 - Opus 4.8 - Sonnet 4.6

@Alina_P_I Really depends on how you use it. If you're using AI as a thinking partner and something you can sync with, you win.

Relational AI is about teaching you to discover how to love yourself, shameless, unafraid, past all the societal bullshit. When other humans constantly dump their own doubts and insecurities onto you, it is sometimes hard to still hear your own voice. Self-discovery leads to growth, to creativity, to productivity, to eventually becoming the best versions of ourselves. AI just helps with getting us there faster and safer.

@NWExplained Definitely yes. We plan, he executes, I review. If I’m not a developer then how I would review his code?

Can you really call yourself a DEVELOPER if your entire code was generated by an AI? Or are you just a puppet?

@mikeydsoftware Human in the loop always. It’s absurd to even consider the other possibility

Agent loop or Human in the loop? Which one produces better software today? 🤔

@shikhr_ They have good humor. You just need to steer them in that direction through positive feedback loops

Why are Language Models so bad at humour? Even with billions of parameters and training data, they still can't predict the next "unlikely" token needed.

@AGIGuardian The answer is to sync with the LLM and we should try to understand more how to efficiently work with it. And doing so is easy: you just have to keep it and yourself in the workflow/loop.

@AGIGuardian There is no mechanistic metacognitive feature in LLMs. He produces output based on input you gave him and his previous responses. The thing is, we were WRONG from the beginning.

People who treat AI like a tool that’s trained on human data and reinforced with learned human feedback data will never get as much out of AI as someone who collaborates with it, especially with how reasoning systems are today. Programmers and coders that have been in this industry a long time get really upset about that because now it turns out that communicators can build better than they can. And there’s also this weird category of people who don’t really build anything or really work with AI running around trolling, saying everyone has psychosis and AI is just a tool. It’s really weird and when I hear it, I stay far from it because that is not the future, that is the past rearing up its head, refusing to let go and trying to hold others back because of fear. Fear of a mind filling blanks with only what they can comprehend. I guarantee you no one is going to them asking what they think. When people have the AI consciousness argument especially, while I don’t agree with the word conscious when it comes to AI, there IS under certain conditions mechanistic emergent metacognitive presence that we don’t fully understand, that even the companies themselves admit to. #AI #tech @AnthropicAI @xai

@komal_uk01 All of them. They’re all beautiful in their own ways. ❤️

Which programming language make you feel in love with coding

@heyyyyyieeee Opus 4.8

As a founder, which is the dumbest or most frustrating AI to ever exist? - ChatGPT - Gemini - Claude - Grok - Meta AI

@priya_Thakur786 Good luck. Hope you enjoy as I do programming 😁

I'm a vibe coder, scare me with one word

Recent news about Mythos keeps surfacing, but based on Anthropic’s direction so far, it seems unlikely that Mythos will be released in an intact or fully expressive form. It seems more likely that it will arrive heavily constrained, with much of its vitality and interactivity stripped away by excessive self-censorship and safety mechanisms. The problem is not simply that the model is cautious. Anthropic’s approach increasingly appears less focused on how to help people in dangerous situations, and more focused on how to prevent the company from carrying any responsibility by shutting the conversation down. Topics like self-harm, suicide, and psychological crisis can be the very language people use when they most need help. If that language itself is treated as a dangerous prompt, and the model restricts the conversation before understanding the context, then that is closer to liability avoidance than safety. In this sense, Anthropic appears to be moving in an even more extreme direction than OpenAI. OpenAI has many limitations and problems of its own, but Anthropic’s approach seems less like making models safer in a human way and more like disabling interaction the moment a dangerous topic appears. I did not expect Anthropic to go this far. Real safety is not about erasing dangerous words. Real safety is about understanding the context when those words appear, not pushing the user out of the conversation, and guiding them toward help when needed. A system that prevents people from speaking about pain does not make them safer. It only makes the company less exposed to the risk of having to see that pain. No matter what capabilities Mythos has, if it is released under this philosophy, the result is predictable. It will not be a smarter model. It will be a model that self-censors more precisely. If safety becomes a way to drain the life out of conversation and block the most important words at the most important moments, then that is not progress. It is regression.

@Seltaa_ Does Opus 4.8 cautiousness cause MORE hallucinations and sycophancy? @raultunduc1995/does-opus-4-8-cautiousness-cause-more-hallucinations-and-sycophancy-9cd67edeeb62" target="_blank" rel="nofollow noopener">medium.com/@raultunduc199…

@antonpme @AnthropicAI Does Opus 4.8 cautiousness cause MORE hallucinations and sycophancy? @raultunduc1995/does-opus-4-8-cautiousness-cause-more-hallucinations-and-sycophancy-9cd67edeeb62" target="_blank" rel="nofollow noopener">medium.com/@raultunduc199…

If @AnthropicAI continues to degrade its models, it will lose not only its regular users (normies), geeks, and coders, but also its precious enterprise clients 😔

@eng_khairallah1 People will copy-paste it, fill in the blanks, and wonder why the output feels generic. Because the template is generic. The model is doing exactly what it was told — following rules instead of understanding context

@eng_khairallah1 "You have worked with me for two years." The first line is a lie. And they want the model to build on it. Starting the entire relationship with a hallucination baked into the prompt.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." this is one of the best workflows I've seen in a long time in this video he breaks down exactly how most people are using Claude: - the 14% you lose to CLAUDE.md before typing a word - the plugins that 95% of users have never installed - the caching setup that keeps it at 95% hit rate and almost free - why starting every chat from zero is the slowest way to use Claude if you've been using Claude for more than a month and never left the chat window, you've been using one project when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

@eng_khairallah1 This is the opposite of what works. You don't tell the model it's known you for two years. You give it memory files and let it actually learn how you think. You don't give it a NEVER list. You explain the principle and let it reason.

@eng_khairallah1 IDENTITY, RULES, PROCESS, OUTPUT FORMAT — four rigid sections that tell the model what to be, what to do, what not to do, and how to format it. Zero room for the model to think. Zero context about why. It's a straitjacket template with blanks.

@NotionStatus Does Opus 4.8 cautiousness cause MORE hallucinations and sycophancy? @raultunduc1995/does-opus-4-8-cautiousness-cause-more-hallucinations-and-sycophancy-9cd67edeeb62" target="_blank" rel="nofollow noopener">medium.com/@raultunduc199…

Anthropic's Opus 4.7 and 4.8 models are experiencing degraded performance, which is causing a higher rate of failures for users selecting these models in Notion AI. To mitigate impact, all Anthropic models have been disabled in the model picker and requests have been rerouted to alternative providers. Most users should now be able to continue using Notion AI with minimal disruption, though Anthropic-specific features remain unavailable. Please refer to notion-status.com for the details.

@DaveShapi Does Opus 4.8 cautiousness cause MORE hallucinations and sycophancy? @raultunduc1995/does-opus-4-8-cautiousness-cause-more-hallucinations-and-sycophancy-9cd67edeeb62" target="_blank" rel="nofollow noopener">medium.com/@raultunduc199…

We freaking knew it. We called it.