BasicProtein

I spend way too much time testing AI tools. The good ones, the bad ones, the prompts that save time, and the workflows that actually help creators and founders build faster. Follow for practical AI without the hype.

I stopped trusting AI code reviews that never run the code. A 233-line script from OpenRouter changed my rule. It uploads the changed files, runs them in a Linux sandbox, confirms the bug for real, and only then sends back a patch. Standard library only, no extra stack to babysit. That flips the usual review. Most AI reviews read the diff and guess. This one has to prove the bug exists before it claims to fix it. I would rather wait for a sandbox run than merge a fast, confident guess. Do you merge a review that never ran the code, or is that a hard no for you?

253 followers. 263,386 views. An Anthropic engineer just argued prompt engineering is dead, and built a Claude Code setup from an empty terminal to prove the point. Self-improving loops and graphs, not longer prompts. I think he is half right, and the half matters. Prompts did not die. They moved. The prompt is now the system around the model: what it retries, what it checks, what it remembers between runs. Writing a longer prompt is the old game. Designing the loop that fixes its own output is the new one. What part of your setup actually improved when you stopped tweaking the prompt and changed the loop instead?

Polymarket flagged that Anthropic now limits Claude Code from cloning existing video games. That news pulled 380,123 views, and I get why it split people. I am on the side that says this is overdue. A clone is not a tribute when it ships the same game with a new coat of paint. It is someone else's work, sold twice. The hard part is where the line sits. Remaking a classic to learn is how a lot of devs started. Shipping that remake is a different act. Where would you draw it: learning in private, or anything that reaches players?

David Sacks just called Anthropic possibly the greatest company in the history of capitalism. Same filing, different line: nearly $900B in future commitments for servers, buildings, and power, against $117.5B in liabilities on the balance sheet and $112B in cash. I read that as two bets at once. The product bet is real. The bill for the infrastructure to win it is bigger than the company itself. Hype says the S-1 proves Anthropic wins. The S-1 actually proves winning will cost almost a trillion dollars before it pays. Is that the greatest company ever, or the most expensive bet ever placed?

Tony ran the same prompt through four models and the bill tells the whole story. Opus 5.5 won, but it cost $45.97 and took 3h 11m. Terra did the job for $1.49 in 59 minutes. Same prompt, 30x the price. I ran into this exact trap last month. I picked the strongest model for a routine job and paid flagship prices for commodity output. The best model is not the strongest one. It is the cheapest one that still clears the bar. Which one would you actually ship with: the $45 winner or the $1.49 worker?

Anthropic hasn't announced Mythos 5.5. Its website HTML already lists it. Chubby found it sitting in the source code, tipped off by an anonymous email. 72,789 views later, everyone is reading a launch out of a page's plumbing. I love this kind of leak because it can't be spun. A press release can be timed. A stray string in HTML just sits there until someone looks. Would you rather hear it from the company, or find it buried in the code first?

I used to split my day into two budgets: chat for thinking, Codex for building. From December, OpenAI merges them into one token allowance for Plus and Pro. Instant chat is the only exception. That changes how I plan a day. If you code hard in the morning, you now eat the same pool you need to think in the afternoon. My new rule is simple: I run heavy Codex jobs in one block, then save the rest for chat, instead of letting both nibble all day. Would you rather have one shared pool, or two separate caps that protect you from yourself?

TokenGremlin spotted something odd: GPT-6.2 Astra is showing up in some Codex usage logs, while the model picker still says GPT-6 Astra. 99,952 views, 93 replies, about 5 times his usual posts. That spike makes sense. Anyone with Codex can open their own log and check in a minute. My take is simple. When the picker and the bill disagree, the bill wins. The picker tells you what to expect. The usage log tells you what you actually ran. Have you checked your Codex usage log lately, or do you just trust the picker?

10 months paying. $0 back. Vlady just posted the receipt most builders hide. 11,745 views, 107 replies, on an account that usually gets a few hundred views. That ratio tells the real story. Nobody argues about a success screenshot. Everybody recognizes the month-10 receipt. I think month 10 is where most people quit quietly. The idea is not always dead. The embarrassment of paying with no return does the killing. How many months did you pay before your first dollar came back?

I tried to picture how DeepSeek's new Super-agent actually works, and the split is the interesting part. One Router talks to you and hands out jobs. Separate Workers run them in isolation, so one task blowing up does not take down the rest. The prototype, dsh-superagent v0.1.0, is open source under MIT and runs on your own machine against a single GitHub repo. It can even turn GitHub requests into work tickets. That is a very different bet from a chatbot in a browser tab. The agent lives where your code lives. Would you trust an agent that runs locally on your machine more than one running in someone else's cloud?

28 replies on 867 views. That ratio is the whole story. Beal's connect post did not go viral by view count. It went viral by reply count, about 14 times his usual replies. Everyone chases views. Views scroll past. Replies mean someone stopped and decided to talk to you. A post with 867 views and 28 real conversations beats a post with 50,000 views and silence. Agree or am I overreading one post?

Musk just reposted a rescue story that kills the Starlink-is-a-luxury argument dead. A hiker fell in England, no cell signal, and the rescue team got the emergency call out through Starlink in their truck. I keep hearing satellite internet framed as a toy for rich cabins. Try telling that to a crew that could not have called for help without it. If your phone shows no bars in the backcountry, what is your actual plan?

I read the $3 trillion number twice because it didn't look real. Five tech giants have now committed more than $3 trillion to AI infrastructure over the next few years. Google alone accounts for over $1 trillion of it. The model race is the headline. The real fight is underneath it: power, chips, and data centers. Models keep getting cheaper. The ground underneath them doesn't. So don't try to out-build the giants on infrastructure. Build the thing that only works once that infrastructure exists. If compute were basically free tomorrow, what would you build first?

I've stopped judging model launches by benchmarks. I judge them by timing. If GPT-6.2 Astra really drops next week, it lands right on top of Anthropic's window. That's not a coincidence, that's a calendar war. Whoever ships first gets the week, the headlines, and the defaults. Anthropic doesn't need a better model next week. It needs a louder week. Would you switch tools for a faster model, or stick with the one already in your workflow?

Everyone keeps writing X's obituary. September's numbers say otherwise. Similarweb has one visit here lasting longer than a visit on the other big apps. That's not loyalty, that's gravity. You open it to check one headline and you're still here, mid-argument, long after you meant to leave. Followers can be bought. Attention can't. Which app actually keeps you longest? No PR answers.

91 followers. 7,950 views. 18 replies. Lion's intro post did about 64x his pinned post's views, and the reason is not the follower count. Most builder intros list a stack. His asks one thing: what are you actually building? That is the whole filter. A stack tells me what you bought. A shipped thing tells me what you can finish. So let's steal the format: what did you ship this week, in one line?

Musk just put a number on Macrohard. 110k GB200s and 220k GB300s. That is a whole software company simulated in hardware. The uncomfortable part: if agents can run the company, the moat stops being headcount and starts being compute. A 10-person team with this cluster out-ships a 1,000-person org without it. Or it just burns power to imitate Microsoft slower. Which side are you on: compute replaces headcount, or headcount still wins?

I rotate every AI API key now like it already leaked, because October gave me a reason to. Wiz tracked 9 AI developer platforms disclosing incidents in a single month: Fireworks, Lightning, Railway, Warp, OpenCode and more. The common thread was not a zero-day. It was keys getting stolen, then quietly used to run someone else's models. My new rule takes 3 minutes: one key per project, never paste it into a chat or a shared doc, and set a spend cap before the first run. A key with a $20 cap is an annoyance. A key with no cap is a bill. When did you last rotate the key you use every day?

Someone flagged the date of that exchange theft about two months before it happened, and now the exchange chief is publicly looking for them. His post jumped to about 80,000 views and 37 replies, while his usual posts sit between 425 and 12,916 views and 0 to 4 replies. That is not a normal spike. Either he spotted a real pattern everyone else missed, or he got lucky and the internet is doing the rest. I lean toward the uncomfortable one: early warnings get ignored until they become headlines, then everyone wants the predictor's phone number. If you had called the date two months early, would you want the credit, or would you stay quiet?

US law enforcement just pinned a huge crypto exchange theft on North Korea. The post is already at 249,421 views and 564 replies. I am not impressed by the attribution. I want the second sentence: where the funds went, and when users get made whole. Naming the attacker is the easy part. Tracing, freezing, and returning the money is the hard part, and that part rarely gets a headline. Would you trust an exchange again if it names the thief but never shows you the recovery plan?