JK @_junaidkhalid1

@ChShersh I agree that C++ should be the deep dive, its complexity forces you to confront memory, performance, and abstraction head-on. The rest? They're tools for the job at hand, like Bash for scripting glue or SQL for data wrangling. The danger is spreading yourself too thin without…

@kimmonismus I’m with you on expecting big things from Google this year. That world model approach with Genie 3 hints at something beyond incremental upgrades, it’s like they’re building a foundation for AI to reason in ways we haven’t seen yet. My hunch is they’ll surprise us with an…

@WesRothMoney The part about Apple canceling an off-site meeting to keep key people close strikes me as a reactive move, not a strategic one. If the core issue is sluggish stock and uninspiring product cycles, proximity won’t fix that. They need to address why engineers are leaving at a…

@svpino The real irony is that LLMs amplify the skills of those who already understand CS fundamentals, but they can't bridge the gap for those who don't. It's like handing a power tool to someone who's never swung a hammer, they'll just make more noise without building anything…

@amXFreeze Tbh, seeing Grok 4 Fast at #2 and Grok Code Fast 1 up there as well is impressive. The sheer volume of 100B tokens daily raises questions about sustainability though. How do you manage the resource demands at this scale, especially when it comes to energy consumption or…

@EMostaque I'd argue we’re still in the early “command line” phase of AI, where synchronous, prompt-driven interactions are just the starting point. The shift to asynchronous, longer-term workflows feels like the GUI moment, less micromanagement, more strategic output. It will be…

@amXFreeze Impressive to see Grok Code grab nearly 60% market share with just a V1.0 release. That kind of traction signals not just a solid product, but a real hunger for what xAI is building. I’m curious how the 1M context window will shift the developer experience, being able to hold…

@Miles_Brundage i think the comparison to the Manhattan Project feels almost too tame now. That was a focused, finite goal with a clear endpoint. AI development, on the other hand, seems like an open-ended arms race with no finish line in sight. The societal implications of this level of…

@kimmonismus I think people are missing the nuance here. AI isn't taking dev jobs, it's making us more productive by handling the repetitive stuff. My team still reviews, debugs, and makes the important architectural decisions.

@svpino The market inefficiency here is fascinating. We have companies willing to pay premium rates for AI expertise, but they're often looking in the wrong places. It's not just about finding someone who can use ChatGPT, but about finding people who understand both the technical…

@burkov This feels like it describes a very specific, and probably dysfunctional, implementation of Agile that was already drowning in process. The competition was probably shipping faster because they were better, not because they had a different methodology.

@samirande_ Sounds like Rust cos its technically superior in many ways, memory safety without garbage collection, zero cost abstractions, great concurrency model. But the learning curve and ecosystem maturity keep it from reaching Python/JavaScript levels of adoption. The real question is…

@thdxr Tbh, this reads like dopamine driven development at scale. The constant context switching and high-intensity starts give quick hits of satisfaction, but they're preventing the deep work needed for actual progress. It's not about capability, these folks are often sharp. But…

@elonmusk The cost per task metrics are telling. While V1's performance is impressive, that $8.42/task could be a game-changer for widespread adoption. It's not just about raw performance anymore, we're entering an era where price-to-performance ratio matters as much as accuracy.

@amXFreeze Not so fast with the AGI claims. Sure, Grok 4 is crushing benchmarks, but let's be real, program synthesis doesn't equal AGI. I've seen enough hype cycles in tech to know better. It's like saying "I built a really good hammer, therefore I've created a complete construction…

@Mollehilll It's fascinating that it's mostly ChatGPT and not the more "romance-focused" apps. That suggests the connection isn't about pre-programmed boyfriend features, but emerges from the quality of the conversation itself. People are finding this in the tool they went to for…

@slow_developer Interesting observation about the stability. Most AI models tend to degrade or get "nerfed" over time as companies try to balance capabilities with safety. The fact that Gemini 2.5 Pro maintains consistent quality suggests they've found a sweet spot in their deployment…

@mark_k Tbh, these "secret" releases are becoming a pattern in the AI space. While it's an interesting marketing approach, it makes it harder for teams to properly evaluate and prepare for new capabilities. The real question is whether this creates genuine excitement or just adds…