Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Deedy Profile picture
@deedydas
Sep 23, 2024 • 7 tweets • 5 min read • Read on X
Scrolly
Indian startup Dotpe, that raised ~$100M to build point of sale systems for restaurants left their entire API fully public.

A clever hacker found out the most ordered thing at every Social in India.

And did a prank to order what he wanted for a person next to him!

Zero auth.
Image
Image
Source: peabee.substack.com/p/whats-inside…
Since the post has been deleted, here’s a cached copy

Part 1:


Image
Image
Image
Image
Part 2:


Image
Image
Image
Image
Part 3:


Image
Image
Image
Image
Part 4:

Image
Image
Image
Cached source: web.archive.org/web/2024092308…

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Deedy

Deedy Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @deedydas

Deedy Profile picture
Jul 21
The International Math Olympiad (IMO) 2026, the hardest math contest for high schoolers, just ended.

I ran Fable (high), Sol (xhigh), K3 (max) and Axiom against it and all got a perfect score of 42/42 (repo below if you want to check their solutions):
— Claude Fable 5 was the solved it in 1 attempt, and was the fastest.
— GPT 5.6 Sol took 1 more attempts, and was cheapest.
— Kimi K3 did it but took 4 more attempts, and took a LOT of tokens.
— Axiom Math actually proved everything in Lean.

P3 and P6 were the hardest followed by P2, judging by attempts + num tokens.

Students had 9hrs to solve these 6 problems, and Fable and Sol were under 4hrs.

The frontier of AI has officially moved well past IMO math.Image
Source:
Lean (from Axiom): github.com/AxiomMath/IMO2…
Fable: github.com/deedy/imo-2026…
Sol: github.com/deedy/imo-2026…
Kimi K3: github.com/deedy/imo-2026…
Repo: github.com/deedy/imo-2026…
Disclaimers:
- yes, we knew it was past IMO! Fable figured out the Jacobian conjecture, you might say. But LLMs tend to have a jagged edge, so it’s still fascinating to me that 3 frontier models had a perfect score

- “you’re biased!” you might say. All my work is in the repo. Different attempts may lead to different results. Who knows, your Sol xhigh run might perfect score it in less time, or use fewer tokens

- no public web search was used to find the answers, and the cut offs of all these models are well before when the imo 2026 was.
Read 4 tweets
Deedy Profile picture
Apr 22
ChatGPT’s new image model can take in a picture of a house and “generate an entire floor plan”

It blows every single other image model out of the water.

I’ve been trying it all day and here are 10 unbelievable things it can do:

1/11 Image
“Make this graph prettier”

Easily beautifies simple charts (espp matplotlib charts) to make them professional grade and presentable.

2/11 Image
“Technical diagram for Photosynthesis.”

This is a complete game changer for education. The accuracy and depth is unparalleled and far better than Nano Banana 2.

3/11 Image
Read 17 tweets
Deedy Profile picture
Mar 22
Karpathy's Autoresearch pushed my vibecoded Rust chess engine AI from "expert" to a top 50 grandmaster, a #311 chess engine.

It ran over 70 experiments on its own and tried to hill climb to the top ELO score it could, landing at 2718!
This approach fundamentally uses a negamax alpha-beta tree search with pruning and iterative deepening. I tested everything with a 500ms per move limit. The main way to improve it would be to get rid of the static evaluation at the nodes and replace it with efficiently updatable neural nets (NNUEs). Also uses standard opening books and a transposition table to cache moves.

There's no offline computation or training element, so each run is like the last.

Lichess bot link: lichess.org/@/deedybot
Github repo: github.com/deedy/chess
Chess AI ranking (CCRL): computerchess.org.uk/ccrl/4040/
Bayesian ELO:
remi-coulom.fr
Stash measurement: dannyhammer.github.io/engine-testing…
Thanks @navvye for offering to test it (he was #28 in India and 23-2400 at some point and @parimarjan one of the goats for being my chess hero growing up and offering to give it a go
Read 4 tweets
Deedy Profile picture
Dec 9, 2025
We just dropped a 12 page AI report on how ~500 execs at US enterprises use generative AI.

I read it all so you don't have to. Top 8 takeaways:

Anthropic is the #1 model provider in the enterprise, with 40% of ~$37B spend, with OpenAI dropping to #2.

1/8 Image
On overall AI spend.

Generative AI has captured ~6% of software spend at $37B, growing ~3.2x YoY. Investments are coming to fruition and buyers are seeing results.

2/8 Image
On where the spend goes.

Companies are using off-the-shelf models more than they're training their own. Horizontal AI tools like ChatGPT Enterprise, Claude for Work, Msft Copilot and Glean have exploded. "Departmental" AI like Cursor and Github Copilot also sees a huge boost.

3/8Image
Read 9 tweets
Deedy Profile picture
Aug 31, 2025
This new DeepMind research shows just how broken vector search is.

Turns out some docs in your index are theoretically incapable of being retrieved by vector search, given a certain dimension count of the embedding.

Plain old BM25 from 1994 outperforms it on recall.

1/4 Image
This result gives me a lot of joy as a search nerd for more than a decade.

Haters will say that the dataset the authors created, LIMIT, is synthetic and unrealistic, but this has been my observation building search systems at Google / Glean.

Source:


2/4alphaxiv.org/pdf/2508.21038
Vector Search was popularized as an approachable drop-in search since OpenAI embeddings grew in popularity, but has clear limitations in production settings.

Even aside from this result, showing it just misses certain docs constantly, it
– doesn't search for concepts well
– often retrieves similar but unrelated results
– doesn't account for non-content signals of similarity (recency, popularity)

3/4
Read 4 tweets
Deedy Profile picture
Aug 10, 2025
I'm using GPT5 Pro to find me the best stocks and startup investments.

Asked it to use modern portfolio theory and size investments.
—Top Privates [+9.7%]: Databricks, Stripe, Anthropic, SpaceX
—Top Publics [+14.2%]: Nvidia, TSMC, Microsoft, Meta

Just put $1000 into the stocks! Image
Prompt: "Check all public / private stock market companies and tell me what I should invest in from first principles reasoning. You have $1000.

Please do deep research and present rationale for each investment. Each one should have a target price and expected value. Use advanced math for trading. Draw research from authoritative sources like research and unbiased pundits. Size my bets properly and use everything you know about portfolio theory. Corroborate each decision with a list of predictions about those companies.

Your goal is to maximize expected value. Make minimum 5 investments. Write it in a table."
This follows my previous experiment on Polymarket, which seemingly had ~2-4x the expected returns!
Read 4 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

Send Email!

:(