Richard Lin

@tenobrus unless you work at the highest level of gov, this is sensational and you are speaking out of your buns

maybe this is not yet clear, so let me state it plainly: as of right now Anthropic, and really a small number of individuals at Anthropic, has the capacity to directly attack and cause major damage to the United States Government, China, and generally global superpowers. government agencies like the NSA do not have internal models or defense capabilities that outclass frontier models. if they chose to do so, they could likely exfiltrate top secret information from government systems, gain control over critical infrastructure including military infrastructure, sabotage or modify communications between members of government at the highest level, and potentially carry on activities for some time without detection. the thing about having access to a huge number of zerodays your adversaries don't know about is it gives you a massive asymmetric advantage. they did not exploit this to gain power or destabilize the world order. they publicly released the information that they had these capabilities and worked to mitigate these flaws. you should be grateful american frontier labs have proven themselves remarkably trustworthy and concerned with the public good. but it's critical you understand we are in a new regime. private entities now have power that directly rivals and impacts the government's monopoly on influence and violence. and anthropic is certainly not the only one, there's little chance OpenAI's internal models are far behind. this trend will accelerate on virtually every dimension, not slow down. my prediction for how it plays out is the relatively imminent seizure and nationalization of labs by the US government, sometime over the next two years. it's very tough for me to see how they accept the existence of this kind of threat. but this adds a whole new class of governance issues, as then we've handed these extremely wide-reaching capabilities from private entities to public ones.

@contextmaxxing @bcherny They literally own the entire infra of everyone’s digital lives. If they can’t protect what’s coming we are all effed

@bcherny it's far more terrifying that only these companies can use it

Mythos is very powerful, and should feel terrifying. I am proud of our approach to responsibly preview it with cyber defenders, rather than generally releasing it into the wild. Model card here: www-cdn.anthropic.com/53566bf5440a10…

@DataChaz Look a guy who doesn’t actually build real product in the voice space saying some sensational shit!

🚨 Google just wiped out the entire call center industry. → Their new voice API handles sub-second latency voice AI → Multi-lingual calls perfectly. → 90+ languages. → Replaces receptionists with a Python script. Want to profit? Do this: #1 Target salons, clinics or similar #2 Build an AI agent to handle FAQs & bookings #3 Charge $1000/mo (Human receptionists cost $3k/mo). The window closes in 6 months or less. Build it today 😏

@anvisha Your product literally doesn’t work.

We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT+ comment “Moda” and we’ll design your brand for FREE.

@Bencera Iono bro I’ve had your agent try to get one lead and after 4 weeks it hasn’t done anything and I paid a subscription. Cool onboarding but it doesn’t actually add value

About to hit $4.5M run rate. Still 1 founder + AI. Zero employees. Honest moment: this past week almost broke me. No one prepares you for what PMF actually feels like. Every infra partner hitting rate limits. Every bug that could happen, happened. Investors throwing big numbers at me. Customers flooding every channel. All at once. I went silent. Stopped tweeting, stopped LinkedIn, stopped podcasts, stopped growth. Just me and my AI agents, fixing things one by one. Here's what I learned: everything is solvable with AI. Every single thing. I'm building Polsia so every solopreneur gets access to the same tools keeping me alive right now. If I can survive this alone, I can package it for everyone. The future is solopreneur + AI. I'm living at the edge so you don't have to.

@k1rallik Wild Shanda was an investor of my last company. Small world

@romanbuildsaas AFF

Affiliates have generated $39,000+ for Gojiberry.ai in the past few months. And the best part: That number is almost doubling every month. So I documented the entire system. In this guide I explain: • How we manage our affiliates • The exact tool we use to track everything • How we promote the program to attract new affiliates If you want the doc: RT + comment “AFF” and I’ll send it to you.

the assumption here is that spreadsheets won because code was too hard. spreadsheets won because the grid collapses authoring, execution, and visualization into one surface. no other tool does that. change a number in excel and you instantly see the ripple across every dependent cell — zero latency. in code you’re hunting through files to find where that formula lives, editing it, recompiling, waiting for output. AI code gen actually makes this worse — now your finance analyst has a python app they can’t read, can’t hand-edit, and can’t debug when the AI hallucinates a wrong formula. you traded visible fragility for opaque fragility. spreadsheets aren’t business logic trapped in a grid. the grid IS the product

prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.

@dan__rosenthal Notion

My company hit $2,000,000 ARR in 7 months. There’s 1 main acquisition channel we used: LinkedIn. And it’s still significantly underused. Here’s the exact content system we used to grow to $2M in 7 months: 1. Content Strategy • Interview your team to brainstorm ideas • Study what's performing in the niche • Analyze post-performance weekly • Use AI for research + concepts 2. Winning Formats The best creators double down on formats. These are our winning formats: TOF → Personal stories, milestones, industry stories MOF → Resource giveaways, infographics, carousels BOF → Feature demos, case studies, product launches 3. Content Team It’s easier to scale content when you have a team. Here's how we structure our team: • Writer • Designer • QA/Editor 4. Content Pipeline We run everything through Notion: • Comments for feedback • Link back to idea sources • Kanban stages for production 5. Content Calendar You won't stay consistent without planning. So: • Stick to the same posting time • Use ordinal to schedule posts • Block off Sundays to plan the week • Build a backlog of posts to choose from — And after lots of trial and error... We packaged this entire content system into a notion workflow. It helps us: 1. Get ideas down quickly 2. Develop them systematically 3. Collaborate with the design team AND includes our framework on how to plan a LinkedIn content strategy: • Content Types • Content Pillars • Content Formats • Content Calendar (plus a post creation template with our own custom embedded LinkedIn previewer) Today, I’m giving the entire thing away for FREE. Want it? Comment "NOTION" And I'll send over our template. (must be following)

@thdxr I don’t agree on #1. Unless the person has zero critical thinking, high volume of experiments gives you more at bats and ultimately better output due to “learning from mistakes”

sent this to the team today everything great comes from being able to delay gratification for as long as possible and it feels like we're collectively losing our ability to do that

@dvassallo @SecWar You have no value to add in your comment. Poor taste

@SecWar The truth is Anthropic told you to go fuck yourself and you’re here whining about it. Have some dignity.

This week, Anthropic delivered a master class in arrogance and betrayal as well as a textbook case of how not to do business with the United States Government or the Pentagon. Our position has never wavered and will never waver: the Department of War must have full, unrestricted access to Anthropic’s models for every LAWFUL purpose in defense of the Republic. Instead, @AnthropicAI and its CEO @DarioAmodei, have chosen duplicity. Cloaked in the sanctimonious rhetoric of “effective altruism,” they have attempted to strong-arm the United States military into submission - a cowardly act of corporate virtue-signaling that places Silicon Valley ideology above American lives. The Terms of Service of Anthropic’s defective altruism will never outweigh the safety, the readiness, or the lives of American troops on the battlefield. Their true objective is unmistakable: to seize veto power over the operational decisions of the United States military. That is unacceptable. As President Trump stated on Truth Social, the Commander-in-Chief and the American people alone will determine the destiny of our armed forces, not unelected tech executives. Anthropic’s stance is fundamentally incompatible with American principles. Their relationship with the United States Armed Forces and the Federal Government has therefore been permanently altered. In conjunction with the President's directive for the Federal Government to cease all use of Anthropic's technology, I am directing the Department of War to designate Anthropic a Supply-Chain Risk to National Security. Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic. Anthropic will continue to provide the Department of War its services for a period of no more than six months to allow for a seamless transition to a better and more patriotic service. America’s warfighters will never be held hostage by the ideological whims of Big Tech. This decision is final.

@antinertia Cooked

we’re cooked ugc is getting scary realistic 13.9m views on an ai fitness influencer stack: > claude for prompts > nano banana 2 for seed images > kling for video i made a step-by-step guide showing exactly how to replicate these videos comment “cooked” and i’ll send it (must follow)

@aakashgupta why is this getting 1M views. have you actually tried building on this model? it can't follow instructions nor retrieve a KB for shiz. So much non-production voice builders making a ton of noise on x

The part most people will skip: NVIDIA just made every voice AI API a commodity. OpenAI charges $0.06/min input and $0.24/min output for Realtime API. Gemini Live bills 25 tokens/second of audio. Every startup building voice agents is hemorrhaging cash on per-minute API fees to run what is fundamentally a pipeline problem: ASR → LLM → TTS, three models stitched together with latency at every seam. PersonaPlex replaces that entire pipeline with one 7B model. Runs on a single A100. Open weights, MIT license, commercial use permitted. Response latency: 0.170 seconds for turn-taking, 0.240 seconds for interruptions. It scores higher on dialog naturalness than Gemini (2.95 vs 2.80 MOS) and handles interruptions better than every commercial system they benchmarked. This tells you everything about NVIDIA’s playbook. They don’t need to charge for the model. They need you to buy the GPU. Every company that self-hosts PersonaPlex instead of paying OpenAI per-minute is another A100/H100 sale. Every voice agent startup that drops their API dependency is another enterprise GPU contract. NVIDIA open-sourced the fishing rod because they sell the lake. Built on the Moshi architecture from Kyutai, fine-tuned with under 5,000 hours of data. The voice AI margin is migrating from the application layer to the hardware layer. And NVIDIA is the only company that profits no matter which model wins. 330,000 downloads in the first month. That’s infrastructure capture disguised as generosity.

This is a dopamine loop, and it’s one of the most powerful ones humans have ever encountered. Every time you prompt an AI and get a useful result back in seconds, your brain gets a hit. Variable-ratio reinforcement, same mechanism as slot machines, except the reward is real: actual output, actual progress, actual leverage on your ideas. Traditional work follows a delayed-reward structure. You write code for 6 hours, maybe it compiles, maybe you get feedback in a week. The gap between effort and reward is wide enough that motivation decays constantly. AI compresses that loop to seconds. Effort → reward → effort → reward. Your prefrontal cortex stays engaged because the next payoff is always one prompt away. This is why people describe it as “fun” when they’re actually working 14-hour days. The subjective experience of effort disappears when reward frequency is high enough. The “harder than ever” part is real too. When your bottleneck shifts from execution to imagination, you run out of excuses to stop. There’s no “waiting on the build” or “blocked by review.” Every idea you have can be tested immediately, which means your brain never gets a natural stopping point. People who thrive on this are selecting for a specific neurotype: high novelty-seeking, high conscientiousness, tolerance for rapid context-switching. That’s maybe 10-15% of the population. The other 85% will experience the same tools as overwhelming, not energizing. And that split is going to define the next decade of who captures value from AI and who gets displaced by it.

@AthletXInvestor @thisisgrantlee @grok Bro it’s a short and to the point article and you need a summary lol

@thisisgrantlee @grok summarize

this is probably the scammiest thing i've signed up for in 2026 not only is their pricing not available online, it's extremely hard to find, how much it cost. they force you into a "30-day free trial" which they plan to charge $150/mo for a scheduler LOL the kicker? there is no cancellation bottom imagine having such a poor product you have to use such heavy dark patterns to fake retention numbers to close a round now im stuck in a loop trying to get my cc off their files

@olivieropinotti @pratik_satija Nah that’s just genius

cold outreach doesn't work in old industries. so we went undercover. last week we put on suit + tie and walked into 10 hotels in san francisco. our script at the front desk: “hi, i’m a hotel owner from italy with my indian IT manager (my co-founder @pratik_satija), could i grab 10 minutes with the GM? i’m trying to understand your tech stack" 9 out of 10 times, we got a meeting. in 5 days we got 15 high-quality customer interviews takeaway: if you want access in legacy industries, look + talk like you already belong there. learn the jargon with chatGPT. get out there and be shameless.