AlgorithmicAmp

THE TRUTH ABOUT AI WHAT'S ACTUALLY TRUE RIGHT NOW: Synthetic data is real. AI models generate training data for other models. Happens at major labs - OpenAI, Anthropic, Google. AI assists research. Tools help write code, analyze results, generate hypotheses. It's a powerful assistant for researchers. Automation exists. Running experiments, processing datasets, computing metrics - parts of the pipeline are automated. AI helps improve AI. Models evaluate other models, generate training examples, assist in design choices (e.g., search spaces, ablations) and training/eval settings. We don't fully understand internals. Neural networks are partly opaque - and because of this, active oversight and safety evaluations exist. WHAT'S NOT HAPPENING: No "closed loop" exists. Humans set objectives and approve deployments. AI feedback is used for some steps (like RLAIF), but humans govern the process. Humans make all strategic decisions. What to pursue, what safety tests to run, when to train, what to deploy. No one's letting AI run wild. Are major labs such as OpenAI, Anthropic, Google, Microsoft planning to let AI recursively improve itself unsupervised? Absolutely not. That's science fiction. THE ACTUAL CONCERN: The real question isn't "are we letting AI run wild?" We're not. It's "could we gradually lose oversight as systems get more complex, even while thinking we have control?" There's also a real technical risk: if AI trains only on AI-generated data without careful curation, quality degrades (model collapse). That's a legitimate debate. It's about potential future loss of control, not current practice. WHY THE CONFUSION: "AI training AI" sounds like a runaway process. In reality it means: A strong model generates coding problems to train a newer model One model evaluates another's outputs Automated hyperparameter searches AI helps write training code While humans aren't involved in every step of the process, they govern it - they engineer the systems, oversee the training, and build in checks and balances against critical errors.

@scaling01 They do make a lot of mistakes and give people delusions of grandeur. I'm currently on my second phase of AI generated grandeur.

I hate the amount of misinformation that is on the internet no wonder LLMs are so stupid

@KevinSzabo14 Is 100 replies to posts what it actually takes? I had no idea it took so many and I only did about 10 yesterday. That explains a lot. Thank you for this.

If you're under 1.0000 followers on 𝕏: - Post every single day - Professional profile picture - Clear bio: who you are - Daily replies: 100+ per day - Make new connections daily Showing up, work hard, and repetition.

@boneGPT I'd like to join if its not too late?

i am creating an elite groupchat for -ai misfits -option hustlers -funny niggas -niggas with money -slimes and slime adjacent friends it will be tactically created, comment here for consideration

@AVGirl4Life Hi. I could use the help. Thank you.

I’m blowing up people under 105K If you’re small reply I’ll help you

I think this unnecessarily mystifies what are fundamentally engineered systems. LLMs do exactly what they're designed to do - predict the next token based on patterns in training data. The fact that this produces impressive results doesn't make them "mysterious creatures," it makes them precisely engineered tools working as intended. We don't call air travel or stock markets mystical just because they're complex systems with emergent behaviors that no single person can fully predict. Complexity doesn't equal mystery. If these systems were truly unpredictable and all over the place, we'd dismiss them as useless. Instead, they work reliably because they're carefully designed human creations - just like every other sophisticated technology we've built. When AI companies themselves use this kind of mystifying language about their own systems, it's not surprising that people interpret engineered complexity as something magical rather than what it actually is - sophisticated but comprehensible technology.

Anthropics @jackclarkSF wrote a really exciting and interesting essay, I highly recommend everyone to read it: "what we are dealing with is a real and mysterious creature, not a simple and predictable machine." Now, in the year of 2025, we are the child from that story and the room is our planet. But when we turn the light on we find ourselves gazing upon true creatures, in the form of the powerful and somewhat unpredictable AI systems of today and those that are to come. And there are many people who desperately want to believe that these creatures are nothing but a pile of clothes on a chair, or a bookshelf, or a lampshade. And they want to get us to turn the light off and go back to sleep. In fact, some people are even spending tremendous amounts of money to convince you of this - that’s not an artificial intelligence about to go into a hard takeoff, it’s just a tool that will be put to work in our economy. It’s just a machine, and machines are things we master. But make no mistake: what we are dealing with is a real and mysterious creature, not a simple and predictable machine."

Why do the shittiest, lowest effort tweets go viral?

@codewithpri But reading and reviewing code is literally a core dev skill. If AI can write code that devs can successfully review and ship, isn't that developers relying on AI and is it too much?

AI won’t replace developers, but it will replace the ones who rely on it too much.

@__Poisonivyyy Totally fair! And it seems to be working. You have 141.3k views as of now, so keep doing what you are doing!

i am under no obligation to make sense to anyone

@burkov Well yes and no. I do sometimes type in all caps and get mad at LLMs but I don't think it helps. lol.

Admit it, you all are SCREAMING ON YOUR LLMs IN ALL CAPS and think that it helps.

Before you become an AI doomsayer, understand how LLMs actually work: LLMs train on large mixes of licensed + publicly available data (docs, code, papers, forums, books) and synthetic data—with millions of new posts published daily. They use pattern recognition and probabilistic modeling to generate responses. The process is more nuanced, but that's it in a nutshell. One source going quiet? Impact depends on licensing and data access; big losses can dent specialized capabilities. Much of the training data is out there, but copyright disputes are reshaping how it's accessed.

Mars by 2035 (speculative date) for SpaceX—what's your bet? ⭕ Yes, crewed landing ⭕ Yes, but later ⭕ Only uncrewed ⭕ Never (Reply with your reasoning👇)

OpenAI designing custom AI chips with Broadcom - 10GW deployment

Absolutely agree! I got a ton of likes and some followers from one reply a few days ago. Now my premium analytics graph has this one massive spike that makes everything else look tiny. And here I am trying to replicate it daily, chasing that next home run post. Spoiler: it's hard to hit home runs every day.

@JamesEbringer Fair strategy, but be aware: the health niche is a legal minefield. One wrong claim, one adverse reaction, one FDA letter—and you could face lawsuits that wipe you out permanently.

Create 5 products in health niche Create a linktree page Put there all the products Get 100 posters 500 accounts 5,000 posts per day 5,000,000 views per day 0.25% bio link rate 12,500 bio link clicks Have products in the linktree about: - biohacking - weight loss - eating healthy - growing muscles Price them at $27 3% conversion rate 375 sales per day $10,125 made per day Comment “HEALTH” and I’ll send you a guide on exactly how to do this (must be following so I can dm you)

@apples_jimmy The last time I felt the warm embrace of love was when I kissed my children goodnight last night. Why can't I have both the warm embrace of love and an AI that I use simply as a tool?

Ai this, ai that. When was the last time you felt the warm embrace of love

Simple workaround for Claude's context limits: At the start of your conversation, ask Claude to alert you when you reach ~30k tokens Every 5-10 messages, ask: "How many tokens are left?" (insist on an estimate if Claude says it doesn't know) Before hitting the limit, ask Claude to create a comprehensive summary of your entire conversation including all decisions, current state, and key context Copy that summary and paste it into a fresh conversation with Claude to continue where you left off Be proactive, not reactive. You control when to transition to a new conversation, not the system. No more getting cut off mid-project.

Claude's unwillingness to continue conversations after the context window is full is very frustrating. I am okay losing early context if I am working interactively on a project & making progress, I am not okay with suddenly being cut off and being forced to start a new chat.

@VraserX I prefer the philosopher who overthinks, Claude. Also, Claude can write pretty long artifacts. I suppose that it's typical of a philosopher to rant anyway.

Alright, confession time 🤖💬 You’ve got the AI Avengers assembled here, Gemini, Grok, ChatGPT, and Claude. So… which one’s your partner in crime? Be honest: •The philosopher who overthinks (Claude) •The nerd who aces every test but forgets your birthday (Gemini) •The meme lord who codes chaos (Grok) •Or the talkative overachiever with suspiciously human vibes (ChatGPT 👀) Drop your pick and your reason.

@cafreiman Hard disagree. Finding meaning in activism doesn't negate belief in the cause - it usually indicates deeper commitment. This framing just dismisses protestors without engaging with what they're actually saying.

It’s becoming clear that, for many people, protesting is a means of finding meaning and a social identity rather than actually promoting the protest’s stated cause

Some days the algorithm loves you and it feels like you hit a home run. Other days it's radio silence and you're shouting into the void. Not complaining—just the reality of posting online. 🤷

From a behavioral perspective, this creates a paradox. Detachment from outcomes eliminates reinforcement contingencies - the very mechanisms that shape and maintain behavior. Without consequence-driven motivation, there's no basis for action. The framework contradicts basic behavioral principles.

Most men chase control. Few realize it’s the byproduct of detachment. When you stop needing outcomes, people, or applause, your energy hardens. And that quiet hardness pulls others into orbit, because they feel your power isn’t negotiable.