Roy Scott

@Jaselton @tonysimons_ K. You’re a fucking moron. We get it

@tonysimons_ Good luck with that, I agree with Alex

This is a wild take -- and I'm a big Alex Finn fan, let me just preface this rant with that. Suggesting people pay $1,000 a month in this economy is ludicrous. I pay for: > ChatGPT Plus ($20) > Claude Pro ($20) > MiniMax Highspeed Token Plan ($40) I'm seriously considering throwing in another $10 for a @NousResearch portal subscription for the immense value it brings to Hermes users. This is more than enough inference for 99% of the people using AI agents right now. Unless you're doing some really deep shit, spending $1,000 a month on API fees is just insane. Remember, this is coming from an influencer with almost half a million followers here and a thriving YouTube channel. $1k a month likely isn't hurting Alex's wallet a bit. But for many of you reading this, it's just flat out not necessary. Especially for smaller businesses who don't have or don't want to spend an extra 1k a month. On a side note, I'm really surprised to see Alex still riding the OpenClaw wave as hard as he is. Hermes is a superior product. He uses it, so he can't deny that fact. Kinda feels a bit irresponsible to be still plugging OpenClaw so hard when there's no argument as to which is a better option for 99.9% of the people watching his videos. Alex, I doubt you'll see this (or even care if you do)... I'll still keep watching your videos, but I'd really love to see you start covering Hermes more, brother. Do your subscribers that favor. The views will still keep rollin' in. (Spoiler alert: building a mission control dashboard doesn't count as doing really deep shit either, by the way. Save those premium tokens and build something useful, folks.) /EndRant 🙃

@tonysimons_ @trentster Human in the loop won’t be phased out for a VERY long time

@trentster Human in the loop will be necessary for the foreseeable future. I predict we get phased out by Christmastime next year.

@manzombie_eth @tonysimons_ Except it’s not. Why? It’s generating unmaintainable slop that a human has to deal with. It’s far more expensive at the end of the day

I don't think Alex is saying everyone should pay $1k. He's saying if your work demands that much compute, it's still cheaper than a human. That's a proportionality argument, not a spending recommendation. You can't hold an influencer responsible for how people misread basic logic.

@tonysimons_ @Josh_is_regen Is he? He’s using the exact same approach as countless AI hype dipshits I see on here

@Josh_is_regen He’s a genius when it comes to driving the hype train.

@tonysimons_ Anyone following Alex Finn is a true moron. He’s simply an AI hype influencer, nothing more. He makes money off the AI hype grift and has zero integrity

@TaskPoolAI @itsolelehmann 🤣🤣🤣 no you aren’t. You’re just running the same overly optimistic, ambitious grift as the rest. Fuck off with your pathetic marketing attempt

@itsolelehmann Biggest vibe shift nobody's talking about yet ... AI agents still can't do anything in the real world We're fixing that 🌊 @TaskPoolAI

if you've been paying attention, you know there's been a serious vibe shift in AI this month 3 major AI labs (anthropic, openai, amazon) all just went hard into biology. they're literally telling you this is where the next wave of ai value capture is here's what happened:

@itsolelehmann Nope. You’re just reading into it and trying to drum up hype as usual

@stevemordue @sukh_saroy Prompt structuring natural language in JSON is simply fucking stupid

@sukh_saroy Tell that to the 99% of vibers who don’t know what JSON is

Prompt engineering is dead. Nobody is writing english to chatbots anymore. The best outputs are coming from people who write prompts like code. It's called json prompting. and once you see it, you can't go back:

@DotNetEric @MakJoris @sukh_saroy Nobody gives a fuck about the vibe.

@MakJoris @sukh_saroy that prompt vibe feels off... but you're onto something there

@Tomas_Zubiri @sukh_saroy Absolutely. What he’s aiming for here is actually more work than structuring a more complete natural language prompt

@sukh_saroy There's more text in their training data than json.

@sukh_saroy This is no more effective than effectively articulating in natural language. You are a dumbass

Now watch what happens when you switch to json: { "task": "write a tweet", "topic": "dopamine detox", "style": "viral", "length": "under 280 characters", "tone": "punchy and contrarian" } Same request. zero ambiguity. the model stops guessing and starts executing.

@sukh_saroy Prompt engineering was never anything, nor is this.

@thealikazai @SethSHowes Then you should read more

@SethSHowes Most interesting read iv read in a while. Thanks.

I sequenced my genome at home, on my kitchen table. I wrote up exactly how I did it - the equipment, protocol, theory, and cost: iwantosequencemygenomeathome.com

@SpityGonzalez @SethSHowes This was such a juvenile description you just pointed out. JFC, there are waaaay too many people demonstrating Dunning-Kruger effect due to AI use

@logicwins @SethSHowes That’s sad. You really aren’t finding much to read

@SethSHowes This is the coolest article ive read on X in a long time. Thanks for posting it

@realarmaansidhu @SethSHowes 🤮 write your own comments you fucking loser

Someone just sequenced their own genome on their kitchen table. This would have cost $3 billion and required specialized facilities in 2003. It can now happen at home. This is biotech democratization that most industry commentary misses. Here's what actually changed to make this possible. Oxford Nanopore released MinION portable sequencers. Device costs approximately $1,000. Consumables per sequencing run cost $500-1000. Complete home genome sequencing runs approximately $2,000-3,000 total. Compare to historical benchmarks. First human genome: $3 billion. First commercial genome sequencing: $10 million in 2007. Commercial sequencing 2015: $5,000. Home sequencing 2026: $2,000. The cost curve has followed Moore's law-adjacent trajectory across 25 years. For biotech industry specifically, the implications matter substantially. Illumina dominates commercial sequencing with premium-priced instruments and consumables. Oxford Nanopore provides lower-cost alternatives that enable home and field sequencing. The competitive dynamic favors democratization. Lower-cost alternatives capture specific market segments Illumina can't efficiently serve. Commercial sequencing services (23andMe, Ancestry, specific medical sequencing) face long-term pressure as home sequencing becomes viable for technically inclined users. For DIY biology movement, this represents specific capability advance. Biohacking community has been building toward accessible biotech for years. Home PCR, basic genetic engineering, specific diagnostic capabilities have been developing. Genome sequencing at home represents specific milestone. Previous limitations on scale and equipment have been overcome. This doesn't democratize all biotech. It democratizes specific capabilities. For medical implications, specific considerations matter. Home sequencing produces data without clinical interpretation infrastructure. Specific medical decisions require professional analysis regardless of sequencing source. Insurance coverage, medical record integration, and specific regulatory frameworks don't accommodate home-sequenced data smoothly. The capability exists. The healthcare integration lags substantially. For privacy implications, home sequencing has specific advantages. Commercial sequencing services have been associated with specific privacy concerns. Data sharing with pharmaceutical companies. Law enforcement requests. Specific breach events. Home sequencing keeps data local by default. Privacy protection depends on user choices rather than corporate policies. For individuals with specific privacy concerns, home sequencing offers advantage commercial services can't match. For research implications, democratized sequencing creates specific opportunities. Citizen science projects can access sequencing capability previously restricted to institutional research. Specific research questions become accessible to non-institutional researchers. Community-level genomic monitoring becomes possible. Specific disease tracking, environmental monitoring, and local research projects can proceed with community funding rather than institutional grants. For the specific individual who sequenced their genome at home, practical value depends on specific context. Personal curiosity: substantial satisfaction from scientific self-knowledge. Medical purpose: limited value without professional interpretation infrastructure. Technical learning: substantial educational value in the process itself. Privacy protection: specific advantage over commercial alternatives. Different motivations produce different actual value. For investors watching biotech industry, specific dynamics matter. Companies positioned for democratization (Oxford Nanopore, specific consumables manufacturers) benefit from expanding accessible market. Companies dependent on premium-priced institutional sales (specific traditional sequencing providers) face structural pressure. Services companies (interpretation, consultation, specific clinical integration) may benefit as democratization expands data availability. The industry structure evolves. Specific winners and losers emerge from democratization. For consumers, home sequencing represents specific option with specific tradeoffs. Cost: $2,000-3,000 plus time investment to execute correctly. Privacy: substantial advantage over commercial services. Capability: comparable to commercial sequencing for basic applications. Limitation: no professional interpretation included. If these tradeoffs align with your priorities, the option now exists. For the broader technology pattern, home sequencing represents specific democratization instance. Previous decades democratized computing, publishing, manufacturing, broadcasting, financial services. Biotech democratization follows similar trajectory with specific biological industry characteristics. The pattern suggests continued capability expansion to individual level across traditionally institutional domains. For specific applications in your own situation, consider whether home sequencing serves your specific purposes. Most people don't need genome sequencing for immediate practical purposes. Those who do have specific medical, research, or curiosity motivations now have accessible option. The accessibility matters regardless of whether most people use it. Specific populations with specific needs benefit from the democratized capability. Seth Howes's kitchen table genome sequencing is specific example of broader democratization pattern. Appreciate the technical achievement. Recognize the broader implications. Biotech capability is expanding beyond institutional control. This matters for industry economics, medical practice, privacy protection, and individual capability. Apply the framework to your evaluation of biotech industry and your personal health decisions accordingly.

@hullalulu @Throrf @SethSHowes Yet here you are, along with OP, posting in a social media platform gobbling up your data for free to corporations. 🤣🤣🤣🤣🤣

@Throrf @SethSHowes wasn't the whole point of it not giving his data away to corporations?

@SethSHowes … but why? You can pay many companies to do this for dramatically less money, because they do it at scale. This is silly

@rashiumapathi @coreyganim It’s only sellable if you find some fucking dumb enough to pay for it 🤣🤣

@coreyganim Simple, clear, and actually sellable. Most people overcomplicate this instead of packaging it like this.

what you're looking at is a $999 service with a $10K back end attached: 1. 45-min Zoom. Ask where their time goes. Fathom records it. 2. Feed the transcript to Claude. 5-7 tool recommendations in minutes. 3. Build the report in Gamma. 30-min walkthrough call to deliver. 4. 60% of clients want implementation. That's where the real money is. 5. Expansion menu: $1-3K automations, $3-5K redesigns, $5-10K full builds. 4 audits a month = $48K/year. Before a single upsell. Full playbook in the image.

@Barrettsharpe @coreyganim 🤣🤣🤣 this post was written by AI and all of you are full of shit

The math on this should make anyone who's still thinking about "starting a business" stop and pay attention. A 45-minute Zoom call. You're not pitching. You're just asking one question: where does your time actually go? Fathom captures every word. You don't take a single note. Claude turns the transcript into 5-7 specific recommendations in minutes. Not generic advice. Real things, pulled from their actual words about their actual day. Gamma makes the deliverable look like it came from a firm that charges ten times what you do. Total time: maybe two hours. Maybe less once you've done a few. And here's what happens on the other side of that call. The client is sitting there staring at a professional report that just mapped their entire operation and pointed to every place they're quietly losing time and money. Nobody has ever done this for them. Not their accountant. Not their "business coach." Not the software vendor who promised it would be easy. You just showed them something about their own business they couldn't see because they were too deep inside it. That's not a deliverable. That's a mirror. And when someone sees themselves clearly for the first time, sees the chaos they've been living in and calling normal, they don't need to be convinced. They ask you how fast you can fix it. The $999 is the handshake. The $10K back end is what happens when trust gets built in two hours instead of two months.