Amber @ Wildcard Research (@WildResearch) header
Amber @ Wildcard Research (@WildResearch) profile picture

We have some wild ideas. AI research & experiments.

Singapore
Joined November 2009
Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)Photo by Amber @ Wildcard Research (@WildResearch)
Amber @ Wildcard Research retweeted
$52M seed round. 15M+ users. But this is what we're most proud of yet. Introducing Drama 3: the most emotive and controllable TTS model in the world And yes, it's open-weight. You can now control how even a single word should sound, change its tone, and shift your voice mid-sentence. Uncle Roger was impressed too. Try it here: s.fish.audio/rqh0l8 Comment “DRAMA” within the next 48 hours for 1 month free. If you're an enterprise your first month is on us: s.fish.audio/qz9r0t
8,203
1,644
858
16,495
13,075,738
Amber @ Wildcard Research retweeted
Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.
326
1,680
866
12,164
3,451,555
Amber @ Wildcard Research retweeted
Big Tech has a $1.67T off-balance-sheet "shadow debt" problem and Oracle CDS is flashing 18-yr warning signs. The hidden line connecting AI data centers to global credit stress on the latest The Contrarian Economist: open.spotify.com/episode/6An…
1
11
Amber @ Wildcard Research retweeted
Follow the trail from a shipping chokepoint in the Persian Gulf to the fertiliser in the ground to the price on your grocery receipt - and explain why the market is quietly mispricing all of it. open.spotify.com/episode/6VR…
1
13
Amber @ Wildcard Research retweeted
what product market fit feels like
30
105
23
1,094
186,205
Amber @ Wildcard Research retweeted
THE WAY OF CODE, a project by @rickrubin in collaboration with Anthropic:
448
1,214
1,032
10,303
2,644,014
Amber @ Wildcard Research retweeted
The @stripe product keynote just finished! We announced a lot of new stuff. (We actually couldn't fit everything into the keynote.) Some highlights: • We've built and deployed the first general-purpose Payments Foundation Model. Trained on tens of billions of transactions and already leading to very large fraud reductions. • We announced Stablecoin Financial Accounts. Businesses in 101(!) more countries can now store stablecoin balances in Stripe and use our regular fiat money movement rails around the world. The magic of stablecoins comes when they're integrated with the rest of the financial ecosystem. I think it's the biggest international launch we'll ever do -- businesses from 151 countries can now use Stripe. • Stripe Profiles: your public identity on the Stripe network. Stripe Profiles will let you streamline invoicing and payments with other businesses on Stripe. (We’ll soon launch reservations for Stripe Profiles.) • Stripe Verified, a new service that will help you navigate global requirements for payment processing with personalized monitoring, enhanced protections, and expert assistance. • We're adding multicurrency support to Stripe accounts: instead of converting all balances to a single currency, we're going to make it easy to store, convert, and operate across different currencies. We want to make it possible to use Stripe as your financial home. • Stripe Orchestration: manage multiple payment processors directly within Stripe. • Support for many new payment methods. You can now access more than 125 global payment methods on Stripe, including stablecoins and real-time payment schemes like Pix and UPI. • We’ve upgraded the AI models built into Optimized Checkout Suite and now use more than 100 signals to personalize the checkout in real time. A/B tests indicate that Optimized Checkout Suite increases revenue by 11.9% on average. • Managed Payments: merchant of record is coming to Stripe! Enter new markets while we take care of global taxes, fraud prevention, dispute management, fulfillment, and more. • A new Connect dashboard, with vastly improved visibility into what's happening across your platform. • Radar for Connect: it’s now way easier to detect and manage fraud and compliance issues with subaccounts. • Networked onboarding for platforms: users no longer need to re-enter their details if they’ve onboarded before. • Smart Disputes: AI automatically responds to disputes for you. Early results show that companies win 13% more chargebacks. We also put skin in the game: we cover the fee if you lose. • Radar now supports ACH and SEPA. This reduces fraud rates by 20% and 42% respectively. • A bunch of usage-based billing improvements. It can now ingest up to 100,000 events every second. • Stripe Terminal can now be used with third-party hardware, starting with Verifone. • Klarna is coming to Link. • Authorization Boost. AI automatically updates cards and tokens, determines optimal transaction routing across networks, and determines if and how to retry failed payments (if we’re confident that the failure was ephemeral). • Radar risk scores are now available via the API. (I.e. they can become a feature for in-house fraud systems.) • Stripe Tax is now available in 102 countries (up from 57 last year), and we also now automate the entire tax lifecycle (monitoring, registration, collection, filing). • New FX Quotes API. • Payment method sharing: if you have multiple Stripe accounts, you can now share payment details across them, saving the need to have customers re-enter their details. • Stripe Issuing now supports consumer card programs. (Long-requested!) • Global Payouts: pay customers, contractors, and other third parties with just an email address. • Stripe Workflows: build, test, and execute multistep flows that orchestrate behavior across Stripe multiple products—using your data, Stripe APIs, and conditional logic. • Stripe Scripts: a new way to extend and customize the logic in Stripe Billing. This will soon expand to cover many parts of the Stripe platform. • Benchmarking: compare your performance to similar businesses on Stripe. • You can now import third-party data into Stripe Capital, which enables expanded eligibility for your customers. • A new Issuing rules engine: granular configurability over authorization decisions. • Global Issuing via stablecoins: a simple and cohesive way to administer global card programs. Ramp is using this to massively accelerate their global expansion. • Data in Sigma is now far faster (6 hour latency, down from 24 hours). That'll continue to get faster in the coming months. Similar data freshness improvements across other products. • You can now use Instant Payouts to withdraw funds from Stripe to debit cards in 32 countries. • The Dashboard AI agent: create products, process refunds, and generate payment links by just telling our little critter what to do. Whew! I’m not sure I even covered everything. A few of the above are years in the works and could have received launch events by themselves. I’m very proud of the team. So what are the common themes? • We’re rethinking and upgrading pretty much every part of the stack with AI. (Embedding/foundation models, agents, etc.) • Stablecoins are enabling unprecedented global access and expansion. • We’re making a lot of things deeply configurable that weren’t previously. (Scripts, Workflows, and more.) Ties to our goal of building truly programmable, global financial services.
97
139
77
1,689
282,413
Amber @ Wildcard Research retweeted
New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications. We cover all the major stages: 1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples 2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence 3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF. I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming. (Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security) Hope it's fun & useful! youtube.com/watch?v=7xTGNNLP…
753
2,886
605
19,985
2,397,431
Amber @ Wildcard Research retweeted
It's kind of an open secret among tech designers that the most cutting-edge user experience work tends to come from the video game industry. Alas, video game designers earn much less than FAANG designers. Thread below on market dynamics + careers 👇
4
86
24
644
Amber @ Wildcard Research retweeted
The more your target audience does not look like you, the more you should be skeptical of your design intuition. Despite having seen thousands of a/b test results for minor design details, I am still regularly surprised by the results.
1
12
2
120
Amber @ Wildcard Research retweeted
LIVE NOW: Watch views of the #SuperBlueBloodMoon from multiple telescopes. Take a look: pscp.tv/w/bUBBEDFXZ0tnRFpvWU…
1,274
65,673
2,535
62,920
Amber @ Wildcard Research retweeted
Good morning. Hamilton opened a year ago today. Look at where you are. Look at where you started. #Grateful
324
9,023
504
30,906
Amber @ Wildcard Research retweeted
When John Oliver Interviewed Stephen Hawking thepoke.co.uk/2016/01/19/joh…
2
37
52