Anton Osika
@antonosika
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Building AGI in Europe. Prev. Physics, cofounder cto depict (2x top yc company), builder of communities
Joined October 2009
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Pinned Tweet
The below video is real.
No cuts.
Founders + CTOs use this, and comapre it to Cursor + Claude Artifacts but prefer it because:
- you can edit the code in your favorite IDE (two-way github sync)
- automatically knows what npm package to use
- picks up errors and fixes them
-
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👶🤖 Introducing `gpt-engineer`
▸ One prompt generates a codebase
▸ Asks clarifying questions
▸ Generates technical spec
▸ Writes all necessary code
▸ Easy to add your own reasoning steps, modify, and experiment
▸ open source:
▸ Lets you finish a
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Introducing gpt-engineer App👶
since gpt-engineer became the world's most popular codegen project I have been tinkering with the next step: how to make it practical, ie allow anyone to build and deploy web–apps with plain english
Mission: Reduce barriers to build
shout to
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i think I need to go lie down
Introducing gpt-engineer App👶
since gpt-engineer became the world's most popular codegen project I have been tinkering with the next step: how to make it practical, ie allow anyone to build and deploy web–apps with plain english
Mission: Reduce barriers to build
shout to
83
202
1K
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showcase making a copy of Devin, cloning up-and-coming Open Devin, asking gptme to connect with a frontend by gptengineer App
(i.e. making Devin without code)
Approach:
- screenshot Devin
- frontend + github codespaces via gptengineer App
- clone Open Devin, and gptme for the
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We have built an AI Software Engineer that works.
- AI-powered auto-debugging
- Fast! (smart edits – built with Rust 🙃)
- One-click deploy
- Edit with any IDE or manually in browser: it’s synced with Github
I'm confident that both people:
- who like Claude Artifacts and want
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Insane. It is possible to train a model that beats GPT3.5 in code generation with only:
- Cloud pod (8 GPUs)
- OpenAI API access (for synthetic data)
- $6.5k to spend
This is a breakthrough for open source models. As well as much smaller models for specialized tasks (the
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watched a friend prototype her startup idea with gpt-engineer app
-> jaw dropped
more importantly, inspired her to start selling her idea with prototype with aim to quit her job
...
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@Altimor
the best AI researchers I know swear by not being "clever", just do hill climbing
identify bottleneck -> fix bottleneck -> repeat
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Early this year LLMs started to show that they can reason. I quickly started looking into what this will lead to. And (being a CTO) how the Engineering role will change.
2 half-weekends of coding + one tweet later...
...and now the open-source project from this has a life of
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let's anyone:
> specify what you want
> get a deployed web application
> iterate in plain english
crucially we're including the codegen community, as collaboration makes everyone move faster:
//2
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Giving out promos today so you won't be disappointed
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GPT Engineer app (<- different from CLI) lets backend devs
- connect to frontend codebase (on github)
- add openapi of the backend
- ask for complex frontned changes, get instant previews, which use github codebase as single source of truth
example shared in our discord by
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gpt-engineer progress 🤖👶
Benchmark results of the first benchmark. Benchmark results of the most recent release.
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Whoa gpt-engineer is still growing.
And improving.
Github stars: 38.5k
Confirmed "perfectly working" codebases generated: 2.5k+
Benchmark evolution:
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gpt-engineer has not fully bootstrapped and generated itself from a prompt, but we are making progress 📈
It now learns with each new prompt it attempts
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I just connected gpt engineer to Gemini 1.5
then made it edit its own 50k LoC code base (it is pretty neat!)
going to bed — but if you send an open source repo with a given prompt happy to do a recording of the results ❤️
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Happy Valentine’s Day everyone!
And happy birthday Dad ❤️(my dad is awesome)
Launching a new AI startup out of Europe today.
Lovable.
Needless to say, we’re very excited about Lovable. We think it will be huge:
We’re building software that builds software.
See website for
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Got super valuable feedback on gpt-engineer App
Listening, and shipping 🚢
top requests:
- uploading pictures+designs (-> now experimental feature)
- non-technical-user <> human dev sync 🎉
- shared projects
- "clarifying" chat flow, asking questions
- full backend generation
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team built a full crypto tracker app with GPT Engineer
took 8 minutes to build, and one-click to deploy, without writing code yet shows real-time updates like you'd expect from a real app
follow to see more about how we’re building the last piece of software
@Lovable_dev
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Thanks
@chrismessina
for adding gpt-engineer App on product hunt – lots of nice comments there (I just noticed from someone DM:ing 😅)
overwhelmed with positive reception thus far ❤
check out...
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@LukeGessler
This sounds too good to be true.
How can “gzip distance” possibly handle adding the word ‘not’ well?
The position of that one word can completely change the meaning of a sentence while minimally affecting the bytes after compression.
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GPT Engineer has 17k stars and sees no signs of slowing down 🤯🤖
The community forming, and contributing to the repo, is moving fast building...
The platform for developers to tinker with AI code-generation tooling
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@goodside
This sounds too good to be true.
How can “gzip distance” possibly handle adding the word ‘not’ well?
The position of that one word can completely change the meaning of a sentence while minimally affecting the bytes after compression.
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Claude 3.5 is such a gamechanger!
was getting married when it dropped – missed a lot of alpha... stay tuned
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I’m running a twitter space on coding agents with awesome
@itamar_mar
(founder codium, behind PR agent + auto-generating testing)
What topics would you enjoy discussed?
Human UX for code agents
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"Chaining" best practices
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Prompt design
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Future of Agents
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🤖👶gpt-engineer updates👶🤖
Improved performance 📈
- TDD workflow: generates the tests, then the code
- Self-reflection + prompts that are even Chain of Thought:ier
Feedback loops 💨
- Spins up the project immediately when done
- Fully autonomous mode to allow for...
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Launched gptengineer app into beta yesterday.
Humbled by all the kind words! Team has been iterating hard on this.
400k twitter impressions ✅
Frontpage of hackernews ✅
Onboarding tons of users ✅❤️❤️
Organic shoutouts on how great it is ✅
this is
The below video is real.
No cuts.
Founders + CTOs use this, and comapre it to Cursor + Claude Artifacts but prefer it because:
- you can edit the code in your favorite IDE (two-way github sync)
- automatically knows what npm package to use
- picks up errors and fixes them
-
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I've seen so many with this take:
"I like writing the code"
Sorry to say but your CTO don't care how vim feels like to you, they care about what you shipped this week
AI will make you ship 10x faster
This is why having AI write code for you sucks. Literally just have the training wheels on forever. Great point by
@dhh
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Today we decided that the ambition of the gpt-engineer community is: To become the most fun and rewarding open-source community to be a part of.
Anyone interested in helping out?
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@swyx
Put the pieces together:
Nov 6 - OpenAI devday, with new features of build-your-own ChatGPT and more
Nov 9 - Microsoft cuts employees off from ChatGPT due to "security concerns" [0]
Nov 15 - OpenAI announce no new ChatGPT plus signups [1]
Nov 17 - OpenAI fire Altman
Put the
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We set up the gpt-engineer Discord today.
Humbling to read the kind words and compliments and how many want to contribute and build the community and help each other.
Honored to be part of the community.
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access ->
//5
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We used tooling we built internally to compare how GPT-4 -> Claude 3 affect product KPIs of gpt-engineer App. Evaluating on production data test cases (identical for both).
Compared:
- Cost
- Throughput
- Subjective-quality ELO ranking
- + gpt-4 vision evaluated quality
//1
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we launched gptengineer app into beta, and gave a few thousand people access
validated: users want to go from a very generous free-to-use plan to monthly subscription
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GPT Engineer crowned the best up and coming app to generate apps ❤️
Thanks for covering
@MatthewBerman
Open source:
Contributions welcome.
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Microsoft catching on with part of functionality of gpt-engineer
Specifically: Creating a workspace (with empty files) from a prompt 🚀
You can ask Copilot to create workspaces for popular project types with the /createWorkspace slash command. Copilot will first generate a directory structure for your request.
Then click "Create Workspace" and it will create the suggested project - files, directories and all.
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30 min cab from sf there are world class hikes
best experienced with a dozen of world class AI startup founders 🫶
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People are building A LOT of actually useful things with today
- Fully working chatgpt clone:
@AlexandrePesant
- Working super clean AI: photo -> macro tracker:
@AlexanderWikstr
- Best personal website I've
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yesterday I found that Open Source Campus by
@eraqian
et al is potentially the best soon to open coworking space in SF 🫡
then naturally had an impromptu dinner with a few local agent builders with goal to crack the best agent abstractions
Great conversations and demos
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gpt-engineer is in its infant stage.
Good developers could have insane impact – and learn a ton – by taking leadership, facilitate structure, unleash hundreds of passionate coders that want to contribute and get shit done.
Hard work will be acknowledged.
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overwhelmed by positive response to gpt-engineer App..
A friend asked for a website that monitors wikipedia
pulls real wikipedia data and displays it
takes 1 prompt to customise UI
sign up for waitlist at ❤
Introducing gpt-engineer App👶
since gpt-engineer became the world's most popular codegen project I have been tinkering with the next step: how to make it practical, ie allow anyone to build and deploy web–apps with plain english
Mission: Reduce barriers to build
shout to
83
202
1K
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when I grew up I thought I was a rational agent.
advertising? only works on the feeble minded. not me.
over time, I started questioning this.
today it's clear to me that my brain is very hackable. with natural language prompts. and it has weak firewalls.
if you think this
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YC Founder (ex-comma ai engineer) right after trying today:
"wow – I don't need to hire frontend engineers anymore"
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listening to product leaders at OpenAI HQ today
ended with
we were pretty candid, please don’t tweet details about what was said
(much alpha I want to but can’t share !)
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Thank you all for showing me a great time and what a great place SF is past week
@silenai
@johannesheidecke
@wwzeng1
@kevinlu1248
@swyx
@Benghamine
@johannes_hage
@Vitchyr
@SigGravitas
@khoomeik
@BogieBalkansky
❤️
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updates 🛳🛳
still in alpha, but stay tuned for news
→ UX
Huge updates on touch and feel. As some of you know: the first of the four pillars we obsess about is: finding best form factor + UX for the AI Software Engineer
→ >2x Faster Edits
AI Edits are
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showcase making a copy of Devin, cloning up-and-coming Open Devin, asking gptme to connect with a frontend by gptengineer App
(i.e. making Devin without code)
Approach:
- screenshot Devin
- frontend + github codespaces via gptengineer App
- clone Open Devin, and gptme for the
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As capabilities continue to accelerate, I forsee that the gpt-engineer community can become the epicenter for collaborative and open "red team"ing new approaches for dangerous AI Agent capabilities.
It's imperative that we continue to focus on benchmarks, and are responsible to
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thanks for the great suggestions everyone! ❤️
#1
building tools in public request: wedding planner
built in 2 prompts with GPT Engineer
link to app below
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MAGIS beat Devin benchmark (SWE-agent almost did so)
-> confirms my belief they could have done this in a few weeks with deep focus :)
Confident this benchmark can be beaten by one good engineer with deep focus for a few weeks
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codegen is significantly lowering the barrier to building web applications
especially for non-technical people who are great at finding problems and selling can create unique apps and businesses.
this shift is empowering a new subset of builders who can identify gaps in the
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Big shoutout to
@talrid23
@itamar_mar
@DedyKredo
and team for sharing this! 🌟
Very impressive uplift.
Observed similar reduction in errors in GPT Engineer when we added "self-debugging flow" as we refer to it (happy to land on a single terminology for the same thing)
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We're set on strengthening open source in all of this
I have a whole community and many more to thank for support, but special shoutout to
@FabianHedin
@ErikBjare
more info to come 🤖👶
//8
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Pull request
#500
was just opened to gpt-engineer 🤖👶
Feels great to have such a community honestly!
So many passionate people who want to build the open platform for code generation together 🫶
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Amazing people behind this. And we're <1 month after team assembly
So far we had a blast using it to create custom animations, interactive landing pages, christmas themed games
//3
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If you missed – 314 Billion Parameter Grok-1 Language Model is now available under the open-source Apache 2.0 license - allowing royalty-free access for commercial and private use.
Is it good? My notes:
The release includes the pre-trained model weights and architecture for
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tested a new UX idea for GPT Engineer using GPT Engineer
chat + edit in one UX
results were interesting
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Been building AI startups for 9 years
Lucky to have experienced fun ups and downs, millions in revenue, and most of all: learnings
3 of my fav. AI startup learnings below
Also – next Wed is Valentine's day ❤
Updates on new initiative then, stay tuned
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today I learned..
GPT-4 (old one) has much more "liquid" intelligence than GPT-4-turbo
(turbo answers better on average but is brain damaged from the fine-tuning)
my friend is swearing by this being true – his legitimacy is that he has been non-stop prompt+flow engineering
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just arrived in the fog city
weather is insanely good
my plan though is to sit indoors and code, for coming month
(+ YC reunion stuff)
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Had a stellar launch last week!
Overwhelmed with positive reviews (see earlier tweet)
What are we adding next:
1.
More full stack capabilities ✅
How?
Initially putting backend's: API docs/curl examples/endpoint signature as custom instructions.
Why?
With custom instructions
We just added support for custom instructions in GPT Engineer
Add API docs, style guidelines or more details about your project to get the output you want!
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Fully agree. Generalizing too much, makes software bad.
The state of langchain was — partly — what drove me to create gpt-engineer. And this is what most people praised (the simplicity!)
Open source projects that are easy to tinker with and fully understand all pieces of are 🤤
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A week ago, we moved from alpha to beta, and the support on Product Hunt has blown us away — 71 five-star ratings.
Thanks to all of you!
Here are some exciting product updates we have been working on:
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Today:
Customers -> raw data -> analytics products -> enriched data -> custom dashboards -> insights
Future:
Customers -> raw data -> AI -> insights
Natural language interfaces will replace SaaS products that built their moat on UIs, and allowing custom data transformation.
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🔮 Prediction:
Finetuning is going to be huge.
Most companies training their own foundation models right now will regret it, since fine-tuning APIs will become so much better.
In the same way that companies that hired tons of Deep Learning engineers for computer vision models
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People switching to gptengineer app to create their own SaaS is getting real.
(note capabilities today are: first version of anything, full internal/web tool, or "prompt to interactive wireframe". SaaS? If it's "micro SaaS" yes maybe)
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a founder friend asked me for an AI app—>got on call, did 3 prompts on GPT Engineer, and shipped it.
the app turned out great, so I recorded a loom to the team right after. it was actually really motivating.
we’re living in the future
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@khoomeik
wtf is tc maxxer?
good question though – I think one should look for cracked infra startup eng
they love infra so much they ran an infra startup, worked at one etc
their current startup is going under
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One thing I personally like using the app today.
If you're a dev, you can jump in after rapid prototyping. The code is already backed by git and a familiar tech stack.
//7
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obv. many of the use-cases are left to community to discover
looking forward to see what you all build
//4
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I had 2 min to prepare a launch at
@AGIHouseSF
Launchaton
Luckily there is a tool to make an app in 1 min (see below)
Launching AGI Quiz
- learn if you are legit AGI bro
- by answering meme:y questions
🧵
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And instead of OpenAI... you can fine-tune open-source models
Already exists via API: , or as open source SDK
Impressive stuff
@corbtt
@DavidCorbitt9
(cost figure below)
🔮 Prediction:
Finetuning is going to be huge.
Most companies training their own foundation models right now will regret it, since fine-tuning APIs will become so much better.
In the same way that companies that hired tons of Deep Learning engineers for computer vision models
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got “I didn't think you could have an LLM event of this quality in sthlm”
many technically v. detailed tech demos 😍
travelling other cities next for more comparisons
sthlm arguably has the worlds best
- AI medical note taker
- QA agent
- financial assistant (in its niche)
-
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16 contributors and counting ❤️
Shoutouts to you all!
Repo:
Recent update: You can now pip install gpt-engineer
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Github CEO did a thread of the announcements at Universe 2023, but...
Workspace was not listed, and def the most impressive
Copilot writing specs+planning+coding, browser dev env preview, self-debugging, etc all integrated
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friend told me 10k employee CEOs he interviews still don’t think AI is applicable at their company
so much alpha out there to be had!
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Open source ❤️
Zephyr LLM, 7B parameters, almost beats Llama 2 70B parameter model
(and crushes similar-sized models)
Key: "Direct Preference Optimization", not RLHF.
Demo:
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Ran into this guy
He literally spoke about his titanic size boners for 5 minutes
(video sample below)
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Getting a lot of these messages lately from people who know how their shit
Anyone else out there in education that want to 10x the productivity of their students?
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Results from claude 3.5 vs gpt-4o internal codegen benchmark ("one shot" performance presented here)
Hope useful to you all builders!
- Edit -> code that compiles, fails a bit more for Claude (small difference)
- Edit -> pass human QA, fails significantly less for Claude
More
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how fast we’re making progress designing the tech-stack of the generated projects for AI to best understand and maintain them, is very exciting
and, letting the system learn from every mistake to not do it again
//6
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agent hackathon with $30k cash prizes today, you all hackers can still sign up
I will be one of the speakers, discord+twitch (in 30 minutes)
sharing some learnings building gpt-engineer 👶🤖
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dear twitter
i’m going to be building tools (with/without AI) in public with AI
looking for suggestions on what I should build?
will prioritize ideas based on how novel and useful!
appreciate any suggestion
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Maybe others find this helpful too – if using chatgpt and want to save one's brain from parsing tokens unnecessarily, I found these preprompts make it a better writer and more concise
(first part is to not make it ELI5 when asking about code)
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I took a screenshot from our Friday demo
- # users and paying subscribers still skyrocketing
- Top feedback is that our product is lovable and feels Apple:esque
Definitely more useful than replit agent
But still way to got to make it fully perfect
Release into general
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me right after I prepared a live demo from my laptop, in a 120 people audience, this week (5 separate ppl complimented demo so I guess OK)
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this weeks gpt-4-turbo launch didn't comment how good it was
three days after, openai quitely released simple-evals (open source)
screenshot shows the model is a big step up from previous gpt-4 models
been looking at gpt-4-turbo with the
@lovable_dev
team, thread bellow
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waitlist at
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Exciting (and scary) with the open source progress and Llama 2 publicly available.
It will spark innovation. And be used by scammers and others.🔥
On how good it is?
Still far away from GPT-4 (86.4) on MMLU: Llama 2 scores 68.9.
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