Jed Frankowski

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Jed Frankowski

Jed Frankowski

@JedFrankowski2

Founder @ ByteSmith — AI Engineering Studio. Building MVPs that raise funding and scale. https://t.co/YSMZ5j1z1i⋅https://t.co/iPFpqc4JaM⋅https://t.co/y8FhIsQeNw

Remote Katılım Ocak 2020
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
I'll be retiring this account. Anyone interested in staying in touch: @jedfrankowski
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dax
dax@thdxr·
please i'm begging you show me something you built not another "this is my custom agent setup" post where you pretend you're doing something smarter than vanilla claude code please
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@bendee983 That take is fundamentally broken because assumes that there’s 10x more to be done in the specific time window. Which outside of startup culture - is simply not true.
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Ben Dickson
Ben Dickson@bendee983·
AI coding agents will enable software engineers (and AI engineers) to do more with less In existing markets, this means that companies can 1) either do the same amount of work with fewer engineers who use AI 2) hire more engineers (e.g., double their staff) and do 10x more with AI But another effect of the falling cost of software is that many industries that previously couldn't afford bespoke software can now hire small engineering teams that can build software for them. In other words, the market for software will expand with the help of AI. Bottom line: Software engineers will be in more demand, not less. It might take some time to get there, but it will happen.
Sam Altman@sama

so far at least, i'm pretty sure AI has been net job-creating. this was not what i expected--although i was much less pessimistic than others, i thought by this level of capability we'd have seen some impact. it is possible this direction keeps going!

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Mariusz Szewczyk
Mariusz Szewczyk@SzewczykM·
@Dawid_Palka_ Chłopaki, którzy pogonili swoje SH do globalnych graczy jeszcze na fali IT hype zrobili interes życia - JCommerce (Inetum), Predica (Software One)
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Dawid Pałka
Dawid Pałka@Dawid_Palka_·
zdzwoniłem się wczoraj ze znajomym który ma duzy software house. W ostatni miesiąc stracił kilku kluczowych klientów. Kodyś każdy chciał mieć software house, dziś to martwa ścieżka dla 95% firm.
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
How do you promote a SaaS in US, when Tiktok and X are both geofenced? Is it just natives and big accounts game?
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@sisekipp @maxedapps I'm all for it. I don't like this duopol from Anthropic and OpenAI especially when they evidently aim to butcher companies left to right.
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Sebastian Kipping
Sebastian Kipping@sisekipp·
@JedFrankowski @maxedapps And Microsoft and others have shown that bugs can be found much more effectively using specialized harnesses and standard models than with the massive models.
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Maximilian
Maximilian@maxedapps·
I have a feeling that in one year - maybe even much earlier - people outside the US or China will NOT have access to frontier models. Restricted models, less capable models etc. but the latest and greatest frontier models? really hard to imagine? The only argument against that may be business interests of OpenAI and Anthropic. But I'm not sure if that'll be enough. Especially since EU companies will pay for the dumb models, too - it's not like there's much alternative.
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Loftwah
Loftwah@loftwah·
Recruiter contacted me about another DevOps role and reading through it was exhausting. It is exactly the same issues I have with the current job I am about to bail from. I can do all of it individually but not all of it at once. In office is a killer too. Not doing that again.
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pc
pc@pcshipp·
Today is last day of fable Did u get any benefit?
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@VraserX The moment we go into robots, I'm switching to being a local operator.
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VraserX e/acc
VraserX e/acc@VraserX·
I think the 2030s will make the smartphone era look slow. AI agents, humanoid robots, synthetic media, anti-aging, maybe real post-work politics. Which one hits normal life first?
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W3nzel.eth
W3nzel.eth@thisiswenzel·
@businessbarista @AlexFinn Never expected NFTGod to escape the crypto bubble. Maybe we crypto people know him too well from back in the day when he was posting a ton of crap, just to get reach. I think I followed him when he had like 20-30k followers and unfollowed him at some later point.
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Alex Lieberman
Alex Lieberman@businessbarista·
People made fun of @AlexFinn for buying three Mac Studios to run AI at home. Then Fable got banned for a week, GLM 5.2 dropped, and those exact Mac Studios started reselling for 4x what he paid. He showed me how he built his home AI lab from scratch. Here's the playbook: 1) The hardware. three 512GB Mac Studios, an @nvidia DGX Spark, a custom RTX 5090 build, and a few Mac Minis. ~$30k all in. 2) The buying framework... - Mac Studio: huge memory, runs GLM 5.2 (open weights, near Opus 4.8 on benchmarks), but slow. - DGX Spark ($4,800): the sweet spot for most people. - RTX 5090: smaller models at blazing speed (Qwen's 29B now hits Sonnet 4 level). 3) @Tailscale networks every machine into one private network with root access to each other. Only one machine is plugged into a monitor. 4) A @NousResearch Hermes agent is his IT guy. New model drops? It SSHs into the right box, loads 5 candidates, runs evals overnight, and reports back which task belongs on which machine. Alex has literally never loaded a model himself. 5) The whole point: achieving "ambient intelligence." Always-on jobs that would bankrupt you on per-token billing. A security sweep of his API endpoints every hour. Code optimization every 20 minutes. Database anomaly & churn detection. Hourly scraping of X, Reddit & Hacker News for business opportunities. 6) Running those workloads on frontier models would cost thousands a month. His actual cost: ~$60 more in electricity. 7) Btw he's not anti-frontier. He still maxes out his Claude plan. The way he sees it: frontier is for hard thinking, local is for the foot soldiers that never sleep. 8) "We own everything except for the intelligence. Why can't we own the intelligence?" 9) He thinks frontier-level intelligence runs on consumer hardware within 6 months.
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Ferbin
Ferbin@Ferbin08·
@amasad free bespoke works great until year 2 when you need a change and the guy who wrote it is gone.
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Amjad Masad
Amjad Masad@amasad·
Atlanta-based real estate company saved $100k by replacing Salesforce with their Replit-built CRM.
Amjad Masad tweet media
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@arvidkahl I suggest that next time they send any request you respond with 418
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Arvid Kahl
Arvid Kahl@arvidkahl·
Someone replied to a webhook I sent with a 584 HTTP error status, and I really don't know what to do with that 🤣
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Sandi Slonjšak
Sandi Slonjšak@sandislonjsak·
I love getting feedback as long as it supports my narrative
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@Hitchslap1 Yes and no. Define noise. I can focus with my kids around, but sometimes freaky music is throwing me off completely.
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Hitchslap
Hitchslap@Hitchslap1·
Genuine question for high IQ people. Do you have a low tolerance for noise?
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@SimonHoiberg If all your bio products look as bad internally as on landing page - you were really overpaying for them. 30k a month for an infrastructure is just a plain bait lie or ridiculous incompetence.
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Simon Høiberg
Simon Høiberg@SimonHoiberg·
Building good products is now easier and more competitive than EVER. Which makes cost optimization more important than ever. Spend less on product where you can, then shift that budget into distribution. We took our hosting and product costs from $30,000+/month to under $3,000/month by moving from expensive cloud infrastructure and 3 full-time developers to self-hosting and AI doing most of the coding. Then we reallocated that budget to ads and marketing. Startups that do this will outrun startups with big engineering teams pretty fast.
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Beff (e/acc)
Beff (e/acc)@beffjezos·
Intimacy in SF is showing a date your Claude second brain Obsidian graph
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
@loftwah @Slav636 The expectation to handle 5 different tabs with Claude and take responsibility for all results is difficult.
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Loftwah
Loftwah@loftwah·
@Slav636 Variety is okay but when there is too much I find myself overloaded. I don’t feel overly confident at anything the way I used to.
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Jed Frankowski
Jed Frankowski@JedFrankowski2·
This conveniently omits the part that AI+robotics is supposed to do that to ALL sectors at once.
Sam Parr@thesamparr

A prediction on what will happen in the next 20 years with ai. But first, some bro-history: - steam engine gets invented in 1712 in england by Thomas Newcomen. - its first job is boring: pumping water out of flooded coal mines. that's all it did for 60 years. - then James Watt makes it way more efficient in 1769, and now you can power factories with it. cotton mills everywhere. the modern factory is born. - 100s of of thousands of craftsmen who made fabrics by hand... were pissed. this damn machine's taking everything we've worked for. - so they start breaking the machines at night, in organized crews. one mill owner even gets murdered. england freaks out, makes machine-breaking a CAPITAL OFFENSE - the craftsmen signed all their threat letters "General Ned Ludd"...a completely made-up guy, so there was no leader to hang. - that's why we call them Luddites. - well, the Luddites lost. trade destroyed. their jobs never came back. - for the next 30-50 years, the economy boomed but wages stayed FLAT. - all the gains went to factory owners. this period is call "Engels' Pause." - named after Friedrich Engels, the son of a rich mill owner. Engel managed family's cotton factory. he looked around Manchester and wrote a whole book saying this system is grinding people to death. "a dogs life", he said. - then he meets Karl Marx (1844), hands him all the factory data, and funds him for DECADES off the mill profits. communism was literally bankrolled by cotton dividends. - meanwhile the railroads (steam engine on wheels) gets invented and get huge fast. entire new jobs that never existed before come about. 600,000 railway workers. new cities. the world transforms. - around 1850, wages finally take off. New cities form. The world changes for the better. The takeaway: When new technology comes, thins may be bad at first. But over time, things typically get far far better. If the goal is to decrease time in the pain cave for the average joe (and also make money): 1. pick which industries will explode (hard). for example: the coal indsutry blew up with steam engine. as did railroads (which wasn't even an industry at first) 2. compress the time for a new tech to become ubiquitous. took steam engine 50 years because factories and railroads are slow to make, internet 15 years, will ai be faster? 2. speed up the ability to reorganize companies and society around this new tech. hoe fast can you invent tangent products and industries? My opinion on all this is: the fear around ai is the same fear other eras had around new tech. And there will be pain - but there's a playbook on how to make it all a net positive.

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