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Behind every seamless payment, secure connection, and fraud check is a system designed to improve financial experiences. Plaid's new eBook [4] looks at the ways that shows up in practice:
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Behind every seamless payment, secure connection, and fraud check is a system designed to improve financial experiences. Plaid's new eBook [4] looks at the ways that shows up in practice:
Elon Musk says that OpenAI's pivot from a charity to a for-profit business is wrong and sets a concerning precedent for other philanthropic efforts. He is suing OpenAI and its co-founders, seeking the unwinding of the for-profit restructuring of OpenAI. Musk says he felt that OpenAI's founders took advantage of his money, reputation, and guidance to get the startup off the ground, only to abandon its public-focused principles and capitalize on the project for their own benefit. OpenAI's attorneys say that the lawsuit is primarily an attempt to undermine a top competitor to Musk's own AI company.
OpenAI's models will be available via Amazon Web Services in the next few weeks. AWS customers will be able to experiment with OpenAI's models and its Codex agent through Amazon Bedrock. A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable customers to construct sophisticated, customized agents with memory of previous interactions.
Finance doesn't really make drug development easier. However, it does make failure more survivable. Financialization is just the process of making implicit economic relationships explicit and tradable. Having more liquid markets for biotech risk is almost certainly better than having fewer. The industry being willing to fund biology that's expensive and likely to fail could result in more discoveries that change the world.
The discovery of antibiotics enabled many of our modern medical procedures, including many routine surgeries and immunosuppressant treatments such as chemotherapy. Antibiotic resistance is considered to be one of the greatest public health threats to humanity. If a new antibiotic entered the market, it would either be used as a last line of defense, which means few doses would be sold, or it would be widely used until resistance developed again, after which sales would drop. Antibiotics are only used for a few days, so there's little profit potential. These factors mean there's less money in developing and selling antibiotics compared to drugs for chronic diseases.
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You've felt it: a file changed, a dependency added, and you didn't ask for either. Opacity, scope creep, and no shared reasoning are killing developer trust in AI agents. Join the waitlist [10] and
Long-running agents can keep making progress over time across many context windows and sandboxes. They can recover from failure, leave structural artifacts behind, and resume where they left off. This post looks at the current state of long-running agents and explains how an engineer can use long-running agents today without writing the whole thing from scratch.
Almost every open source supply chain incident from the past eighteen months involves GitHub Actions features behaving exactly as documented. Actions is basically a package manager with no lockfile, no integrity hashes, and no transitive visibility. The whole product is a collection of features that are convenient, but very easy to assemble into something dangerous. GitHub plans to add fixes, but the company says that changing the defaults will break existing workflows.
Software ate distribution, but most of the work was still done by humans. AI changes that - the work is now becoming software. Agents can read, reason, call tools, verify, revise, and perform long-running tasks. As models commoditize, the apps that capture messy operational data will be the ones to improve fastest and defend their position longest.
OpenAI's ad platform has two halves. The ChatGPT back end injects structured objects into the conversation while the model is responding. On the merchant side, a tracking SDK runs in the visitor's browser and reports product views back to OpenAI. These two parts are tied together by Fernet-encrypted click tokens. This post explains each part of the distribution loop in detail.
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You've felt it: changes you didn't request. Opacity, scope creep, and missing reasoning erode trust in AI agents. This 5-part series explores fixes — join the waitlist [10] and follow along today now.
Open source was a much smaller world before GitHub, and projects had to run their own infrastructure.
GitHub outages have gotten so common that they are negatively impacting developers' ability to work.
The new open-source Warp repository is funded by OpenAI, and the new agentic management workflows are powered by GPT models.
TLDR is looking for an engineer/researcher at a major AI lab or startup to help write for 1M+ subscribers. Our curators have been invited to Google I/O and OpenAI DevDay, scouted for Tier 1 VCs, and get early access to unreleased TLDR products. Learn more [20].
AI agents struggle with ambiguity, so strict APIs are an important advantage.
Behavioral timescale synaptic plasticity is a type of learning in the hippocampus that may help the brain learn in a single attempt.
Despite their founders calling them 'truth machines', prediction markets are overwhelmingly in service to their traders, not the seekers of truth.