This. And don't forget the occasional refinement meetings during which you think you're making a group decision but your manager and the other senior (both German, speaking German, having spoken in private without your awareness) already decided on many things, even though they acknowledge that you're the more experienced person in the room. So you're treated as a rubber stamp and three months in when you have an objection because clearly you're walking into a sunken cost, will be shown ADRs (in Denglish) basically where everything's already decided in their favour.
Agents struggle with this: DRY means they create helper functions and classes for a testing scenario and maybe it's called two times. When you ask for a refactor of your code and tests to follow, these helper functions are also ignored and then, dead code starts piling up. Specific cleanup sessions always seem to leave residues behind and doing Ralph loops in the first place seems to help with this, but I'm just not satisfied with the overall performance. Any ideas?
Chinese whispers, simulacra... I don't have the energy to argue after being name called, but you get the point. Yes LLMs are useful in building automatic telling machines, but ask it to do anything more substantial and all you are doing is burning tokens at the altar of Anthropic and hope. That just doesn't fly in regulated industries.
Intelligent humans are capable of following diverse and intricate analogies and draw lessons from seemingly unrelated events. Try asking an LLM to summarize an article and use an imprecise way to state your view. Ask it to push back. You will be drawn into so many pedantic arguments that burn through your tokens within a few messages, you'd wonder if there's someone deliberately taking over the keyboard on their side and spending your token limit. This would never happen with an intelligent human being unless they have nothing better to do and want to troll. This is a speech pattern that LLMs are trained on, it's not a show of intelligence. This also applies to LLMs claiming consciousness: The internet is full of people writing about sentience, talking to "superior aliens" in blog posts, forum threads etc. It's the speech pattern that's copied, not actual thoughts and feelings because LLMs perceive, suffer, have aims or dreams...
LLMs are still next token predictors, just because you can give it more vague instructions and it still finds the right steps to follow, it doesn't mean it's intelligent. It means you're speaking the same language as the harness they trained your model on.
And that has a limit. If you are stuck at PoC level or simple apps, you have no idea how limited the current models still are. There you really need to break tasks down, not just trust a token predictor to list steps that sound good. There has to be a human in the loop somewhere, because by the time you start skipping permissions, best case you get the jackpot, more likely is you get a suboptimal solution and token waste and what's genuinely still terrifying when the model ignores instructions and does some stupid nonsense, ruining your day. It really is as sharp as a CNC machine. It's not not useful, but could be dangerous, so maybe don't try to carve wood with a monster machine, or park your Ferrari in that crammed neighbourhood if you don't know how to parallel park.
Memory used to be the bottleneck because it was the slowest after SSD and NVMe arrived. Now they became the bottleneck again but for a different reason. One has to wonder.
Sometimes they are just too addicted to gossip by the water cooler. For all the information that flies in and out of different teams, departments and organisations, water cooler is probably the best place to learn enough to position yourself in the company. A narcissistic boss would be obsessed with that, naturally, and consider others who don't as outliers.
Empowering speech for all beginners in all fields for sure. If you're struggling today because LLMs seem to eat your lunch in one way or another, it's a good feeling to remember this.
And yet, it's also a sign of how far we're going down the rabbit hole of trusting next token predictors to do everything for us. No amount of harness, allowing it to complete tasks by matching the templates it memorized, should convince anyone that LLMs have novel ideas, because it never will. Stop publishing your own framework's code on the Internet for six months and it will diverge, always producing legacy code. Stop writing your latest spicy analysis on international diplomacy and it will continue to sound like the hopeless optimists that we all once were last year.
LLMs are golden mean generators. They will continue to rehash what's genuinely useful out there while being far from inspirational. It will get your job done, probably, but won't shock and awe people, let alone experts.
That's maybe wishful thinking from my part, but more towards like other engineering fields: Project engineers design it from scratch, everyone must speak architecture, customer and compliance at once, and we will have standards and "codes" drawn up by the end of this decade.
SpaceX + Twitter + XAi + Cursor is the perfect combo to collect government contracts. You want exposure in social media? Use Twitter. Civil servants want AI? Use Grok. Developers want AI? Use Cursor. All space heading business? Contact SpaceX. All under the polished (!), totally unblemished (!) PR image of Musk.
Someone please wake me up if this is a fever dream.
If it's code that you can tolerate being somewhat messy and suboptimal, you can run agents e2e. If it's critical piece of code that has become part of your identity, better do the PR work and scrutinize it well. LLMs are still next token predictors, no matter how much harness, hooks, skills and tools is attached to them. LLMs will only know that these are callable, interpretating the state and mitigation are still best effort.
Everything is designed around collecting your data somehow so that they know what to sell you next. You've no longer the customer, you are an agent that gets to use that interface.
Intelligence explosion won't happen if we keep on investing big cloud LLMs and people who are in the business of being in busines (cough Musk cough). It will arrive when AI penetrates so much deep into our lives that we consider quality local models like having electricity at home, thus we rethink what it means to truly integrate AI into everything.
He's a dangerous fella with too much power vested in him. We risk not being able to launch any more rockets if we keep doing this.