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claude code just got something that feels like x-ray vision for software. 👀 a new open-source tool called reverse engineer anything (rea) lets ai agents investigate how apps and software actually work — even without access to the original source code. see a feature you love? now you can investigate how it works and use what you learn to build something similar. what app would you want to reverse engineer first? #claudecode #ai #coding #opensource #vibecoding

Claude Co. Can now reverse engineer software you don't even have the code for. So there's this new open source tool called Reverse Engineer anything or REA, and basically you can give Claude or Codex an application and ask it to investigate how a specific feature actually works. It can inspect the software, trace the underlying code, and help you build something similar in your own project or app. But here's what makes this different. Instead of Claude just guessing how a feature was built from a screenshot, it can actually investigate the software and show you the evidence. Now it won't magically clone every application, but for developers trying to understand and recreate functionality, this could be huge. So save this video, try it out on a feature you're curious about, and let me know down in the comment section what you guys think.

anthropic finally dropped claude haiku 5.5 — and somehow made it way cheaper without making it feel like the cheap model. anthropic says it costs about 75% less to run than haiku 4.5 on average, which makes it way more interesting for high-volume workflows like routing, summaries, support, browser actions, and subagents. the expensive models get the hype. the cheap ones might end up running most of the apps. what would you replace with haiku 5.5 first? #claude #anthropic #aideveloper #aiagents #coding

Anthropic finally dropped Claude Haiku 5.5, and this might be the most practical Claude release they've had in a while. So Anthropic says it costs about 75% less to run than Haiku 4.5 on average, while still being built for fast, high volume work. And this is why most builders should actually care. Most AI products do not need Opus handling every little task. Haiku 5.5 is the kind of model you can actually afford to use everywhere, and you can still turn up the effort when a task needs more reasoning. The expensive frontier models get the hype. Models like this might actually end up running most of those apps. So save this video, try Haiku 5.5, and let me know down in the comments which one of your workflows you're gonna be trying this out on.

reflection just announced beam — a 501b parameter model that only activates about 23b at a time. basically: huge model capacity without firing up the whole thing for every token. for builders, that could mean strong agent reasoning with a much smaller compute footprint — and the weights are supposed to drop under apache 2.0 later this month. if this works as advertised, efficient ai might matter more than just building bigger models. would you actually build with beam? #ai #aideveloper #agents #opensourceai #coding

This massive AI model only uses about 5% of its brain at a time. Which sounds bad until you see what it can do. So reflection just announced BEAM, a 501 billion parameter model that only activates 23 billion parameters at a time. So basically instead of firing up the entire model for every single token, it only uses the parts that it actually need. And now I'm going to tell you why you should care if you're building AI agents. The goal isn't having the strongest model, it's getting strong reasoning without burning insane amounts of tokens every time someone uses your product. And what BEAM is basically trying to do is give you a huge models capacity with a much smaller active footprint. And later this month reflection is releasing the open weights so developers will actually be able to build on it, fine tune it, and deploy. And if this works as advertised, the next AI race might not be about who builds the biggest model, it might be about who wastes the least amount of compute running one. So save this video and let me know down in the comments your guys thoughts on this new model.

google finally added claude to antigravity 💀 paid users can now run opus 5.5 and sonnet 5.5 directly inside google’s own coding environment, then switch between gemini and claude depending on the task. this is what i want more ai products to do — stop locking builders into one model and just let the best one win. which one are you taking for coding right now: claude or gemini? #claude #gemini #antigravity #aideveloper #coding

Google finally found a way to make anti gravity better. They added Claude now. I'm obviously joking, but this is actually really interesting. Update Google Anti Gravity now lets paid users run Claude, Opus 5.5, and Sonnet 5.5 directly inside Google's own agnostic coding environment. So now you can use Anti Gravity's workflow and tools, but switch between Gemini and Claude depending on the task. And honestly, this is what I want more AI companies to do. Stop forcing you into one model and just let the best one win per task. Use Gemini when it makes sense, use Claude when it makes sense, and keep the same coding workflow. Now you do need to be a paid user, but save this video. Try both on the same exact project and let me know in the comments which one you actually think codes better.

google either went completely bench maxxing… or gemini 4 argon is actually generational. google’s own numbers have it beating astra and opus 5.5 across a ridiculous amount of benchmarks, and the wildest part might be the 1,000,000-token output limit. that’s almost 8x more room for an agent to keep coding, researching, and working before it has to stop. the catch: most of us still can’t use it yet. generational model or benchmark monster? #gemini #googleai #ai #claude #openai

Google either went insane benchmaxxing or dropped a generational model. There is no in between. They just announced Gemini 4 Argon, and on Google's own numbers it's beating Astra and Opus 5.5 across a ridiculous amount of benchmark. Here's the part that I actually care about argon can output up to 1 million tokens in a single run. For comparison, Astra and Opus normally cap around 128,000. So Google just gave an AI agent almost eight times more room to keep coding, researching, and working before it actually has to stop. So these are Google's benchmarks, and most of us can't even use argon yet. So take this with a grain of salt and save this video right now because this could be a generational model. And let me know down in the comment section what your guys'initial thoughts are.

openai just launched an ai you don’t have to keep prompting. dots can own an ongoing responsibility, keep context over time, work across your apps, and keep making progress even when you’re not there. the biggest shift isn’t that ai can do more — it’s that you can start giving it responsibility instead of individual tasks. would you trust an ai to manage something for you without waiting for the next prompt? #openai #aiagents #chatgpt #automation #futureofwork

Open AI just launched their new AI that keeps working after you close ChatGPT. They're called dots, and each one of them gets its own computer browser and access to the apps you choose. So instead of opening ChatGPT every time you need something, you give your dot a goal and it can keep working on it even when you're gone. It can watch customer feedback and fix bugs, update projects when things change, research things in the background, or even notice work that needs to get done before you ask. And this is where I think AI actually starts changing work. You're not just chatting with an AI model anymore. You're giving an AI ongoing responsibility. And open AI is starting the roll out today, so if you have a Pro or Business Premium plan, the first dot is included. So save this video and let me know down in the comment section. What are you guys gonna be using this for?

nvidia is giving developers access to four models for free right now. deepseek v4.1 flash, glm 5.3, glm 5.3 flash, and kimi k3 — so instead of guessing which model fits your app best, you can actually test all four without paying to experiment. no crazy gpu, no self-hosting headache — just grab a key and start building. which one would you test first? #ai #coding #aideveloper #nvidia #buildinpublic

Not one, not two, not three, but four free AI APIs you can access. Right now. Nvidia is giving developers free endpoints for Deep Seek V 4.1 Flash, GLM 5.3, GLM 5.3 Flash, and Kimi K3. So instead of guessing which model fits your app best, you can literally test all four for free! And the best part, you don't even need some insane GPU or even have to host them yourself! Go to Nvidia build, grab an API key, and you can start plugging these directly into your own apps and agents today. So save this video, go try all four right now, and let me know down in the comment section which one you think is actually the best.

anthropic is giving claude users free credit to try cloud sessions. pro users can claim $100, max users can claim $250, and you have until october 7 to grab it. connect github, let claude code work in the cloud, and come back later to review what it built. save this so you don’t forget to claim it. #claude #claudecode #anthropic #ai #coding

Anthropic is giving away cloud users free money to try Cloud Sessions. So if you're on Pro you can claim $100 and if you're on max you can claim up to $250. And for those of you who don't know, Cloud Sessions is basically letting Cloud Code keep working on your repo even after you close your laptop. It runs in Anthropic's cloud. Connects to Github and you can come back later to review the work or a pull request. And all you need is Github connected. And you have to claim the credit by October 7th. So save this, go claim it, and let me know what you make claw build while you're asleep.

90 minutes after anthropic dropped opus 5.5, openai came back with two new gpt-6 models. both companies have been talking about pacing the frontier, and maybe this is what that starts to look like: not just making ai smarter, but making frontier-level intelligence faster, cheaper, and way more efficient. the ai race might be changing in real time. do you think efficiency is the next real battleground? #ai #openai #anthropic #claude #gpt6

Anthropic only got 90 minutes to enjoy Opus 5.5 before open AI dropped two new GPT6 models. So open AI just released GPT6 Soul and GPT6 Luna, basically bringing a lot of Astra's intelligence down into faster and way cheaper models. And they didn't just improve them, they cut API prices in half. So soul is now $2 in and $10 out per million tokens, and Luna is just 10 cents in and 50 decents out. But I think that there's a bigger story here. Both open AI and anthropic have been talking about the pacing of the frontier, and maybe this is what it starts to look like. Instead of only making these more powerful models, they're making that intelligence faster, cheaper, and more token efficient. So save this video right now and let me know down in the comment section which of these new models you're most excited for.

claude opus 5.5 just dropped today — and everyone’s going to talk about the benchmark scores. the more interesting part might be that anthropic is making claude smarter while also getting it to use less time and fewer tokens to get there. better answers with less wasted thinking could matter way more than another small benchmark jump. have you tried opus 5.5 yet? #claude #anthropic #claudecode #ai #coding

Anthropic just dropped Claude Opus 5.5 and somehow it's cheaper, faster, and beating GPT6 Astra on coding on terminal bench and frontier code, Opus 5.5 actually beats Astra's top score while costing about one fifth as much per task. And compared to the last opus, Anthropic actually says it's about 40% cheaper on typical workloads and generates over 30% faster. And anthropic is increasing usage limits and even giving subscribers one free rate limit reset. So save this video, go try out Opus 5.5 in Claud code and let me know if it feels better than Astra.

xiaomi just dropped a new ai model that’s getting surprisingly close to claude and gpt — for a fraction of the price. and right now, opencode is letting you try it free for the next 7 days. save this, test it on a real project, and let me know in the comments how it actually compares to claude or gpt for you. #ai #claudecode #coding #aideveloper #opencode

qwen just released image 2.1 — a free-to-download model that can generate, edit, use up to 10 reference images, create transparent pngs, and output at 2k. commercial use still needs a separate license, but the bigger point is the gap between open-weight and closed image models is shrinking fast. how long until paying per image stops making sense? #ai #imagegeneration #qwen #opensourceai #aideveloper

ai just got a lot closer to living on your own computer instead of in the cloud. prismml compressed a 27b parameter model down to 5.9gb while keeping 98.2% of its benchmark performance. basically: way smaller, barely dumber. if this keeps going, local ai could mean more privacy, lower costs, and less dependence on cloud APIs. would you rather run ai locally or keep using the biggest cloud models? #ai #localai #coding #aideveloper #tech

a mystery ai coding model just showed up, nobody knows who built it, and it’s free for the next week. it’s called union alpha, it’s built for agentic coding, supports images and tools, and early benchmarks are putting it surprisingly close to some frontier models. i’d ignore the hype and throw a real project at it while it’s free. what model do you think is actually behind it? #ai #claudecode #coding #aideveloper #opencode

A mystery AI model just showed up. Nobody knows who built it, and you can use it completely free for the next week. So it's called Union Alpha, and it was built specifically for agentic coding. So actually working through projects, using tools and modifying code instead of just answering coding questions. It can also see images, use tools, and has a 262,000 token context window. And this is where it gets interesting. Early coding benchmarks are putting it surprisingly close to models like Astra and Opus. But because this is a stealth model, still have no idea who actually built it. And open code says you can use it for free for the next week. So save this video right now, try it out, and come back and let me know down in the comment section what model you guys think is hiding behind Union Alpha.

google just made voice agents a lot easier to build — and potentially a lot easier to sell. gemini 3.8 live can talk, think, and handle tasks in the background, and google already has a path for connecting it to twilio for real phone calls. for ai developers, this is the play: build an after-hours agent, let it catch missed calls and collect leads, then sell it to a business. what niche would you sell this to first? #ai #voiceai #aiautomation #saas #geminilive

Google just upgraded one of the most monetizable AI products you can build right now voice agents. So they just introduced Gemini 3.8 Live, which can talk, think, and handle tasks in the background at the same time. And on this benchmark behind me, it scored 82.6%, which is ahead of Astra and Grock Voice. But here's why developers should actually care. Based on Google's current live pricing, the AI audio cost roughly 2 cents a minute. So take this, build an after hours agent for a roofer, Dennis, Medspa, whatever. Let it answer missed calls, collect the lead, take notes, and pass everything to the business the next morning. And the best part is Google already has a guide to connecting Gemini to Twilio for real phone calls. So save this video and let me know down in the comments. What type of business would you guys sell this to first?

google just built an ai that can predict what tiny changes in human dna might actually do — across all 9 billion possible single-letter changes. today it’s a research tool, but imagine where this goes: workouts, diet, recovery, fat loss, health risks — advice built around how your body actually responds instead of copying someone else’s plan. would you give an ai your dna if it could tell you what was actually worth changing? #ai #gym #googledeepmind #looksmaxxing #gymtech

Google just built a brand new AI that could eventually tell you what's actually worth changing about your body. So it's called Alpha Genome AI, and it can predict what happens when you change individual letters in your DNA. And they've already run those predictions across every possible single letter change in the human genome. And this is where I think it gets kind of crazy. Imagine AI eventually being able to tell you why you respond differently to the gym, your diet, fat loss, muscle gain, and recovery based on your biology. So instead of just copying somebody else's workout or diet, AI could eventually help tell you what your body is actually more likely to respond to. So now it begs the question, would you give an AI your DNA if it could tell you what was actually worth changing?

struggle is real. Dario save us 😭😭 #claude #anthropic #chatgpt #gpt6astra #aihumor

Is it easy? No. Do I like it? No, I don't. But do I do it? Yeah, I do.

anthropic just showed that cleaning up bad claude prompts cut costs 14.6% while accuracy actually went up 5.3%. things like “verify twice” and “be maximally thorough” can make newer models waste tokens and trigger extra work. save this, try it out, and let me know if your claude bill actually drops. what’s costing you the most right now? #claudecode #anthropic #claudeai #aitools #promptengineering

Anthropic just quietly published a guide showing how to cut your Claude Bill without making Claude worse. And in one of their tests, cleaning up bad prompt instructions cut cost 15% while accuracy actually went up. What they found out was that some of the instructions costing you money are probably the ones you thought were helping. And often on the newer cloud models, those can actually make it repeat work and burn extra tokens. But prompting is only one way clog can get expensive. Anthropic also says higher effort isn't always better, so save this video, try it out, and let me know if you guys are actually seeing a difference.

openai’s new model might actually be too smart for its own good. gpt-6 astra is more likely to stop, ask questions, and wait for clarification instead of just making the call and finishing the job — so openai literally published prompting guidance to make it more decisive. and the claude code connection is even more interesting. save this one. are smarter ai models actually becoming more annoying to use? #openai #gpt6 #claudecode #ai #aicoding

Open AI just published the exact prompt to make GPT6 Astra stop asking permission and actually finish the job. Astra is open AI's brand new model, and weirdly enough, it's actually more likely to stop and ask you questions instead of just making an Assumption and continuing. So open AI developers wrote their own custom instruction guide which basically says bias towards action and keep working until the task is actually complete. But if you use Claude code, this is where it really gets interesting. Anthropic is telling Claude users basically the same thing, which is default to action and implement changes instead of just suggesting them. And the biggest takeaway here is that as these new models get smarter, the instructions you give them matter even more. So save this video and let me know down in the comments if you want the full prompt. I'm using right now with Astra.

we’re arguing about fable 5.1 vs gpt-6 astra and 95% of people don’t know either one exists. which is exactly why you should start now. doesn’t matter how old you are or what you do — pick one, open it, use it for something real this week. you don’t have to be an expert. just being someone who’s actually touched it puts you ahead of almost everyone. how many people in your actual life know what claude is? #ai #claudeai #gpt6 #openai #anthropic

I love the fact that we're arguing about fable 5.1 versus GPT6 Astra, and 95% of the world doesn't even know either exist.