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to improve everything from personalized outreach to ongoing client relationships + how to create compelling, attention-grabbing Loom videos that create stronger connections with prospects and customers.
OpenAI's Deep Research conducts in-depth research and generates comprehensive reports in 5 to 30 minutes. It can browse the web, analyze data, and synthesize findings into well-organized reports with citations. OpenAI positions Deep Research as a tool for knowledge workers in fields like finance, science, and policy. However, it still requires human review due to occasional hallucinations and difficulty distinguishing authoritative sources. Deep Research is currently available only to ChatGPT Pro users for $200 per month.
Icon.me streamlines the creation of advertising content. It analyzes users' video libraries, tags scenes (i.e. unboxing), and uses these clips as building blocks to generate ads. Users can input ideas into AdGPT, an AI tool that crafts ads with matching clips for each scene, producing content that's 80-99% complete. Further refinements can be made using AdCut, an editing tool.
LinkedIn is doubling down on video with expanded full-screen playback, a swipeable video search carousel, and profile enhancements for video creators. Video content is now displayed more prominently in the feed and new analytics provide deeper audience insights into watch time and engagement. LinkedIn has also introduced free courses covering video creation, editing, and repurposing strategies.
Twitch remains committed to strict content moderation, maintaining policies against hate, harassment, and crypto gambling. While some creators moved to Kick, financial incentives were a bigger factor than moderation policies. Twitch rolled back its exclusivity clause to support a creator-first approach, recognizing that viewers follow their favorite streamers rather than the platform itself. Twitch will continue to expand its creator base as livestreaming grows as it believes that attracting new talent will keep it competitive.
Bing is on the rise because ChatGPT uses the search engine's index and platform, while some companies see better performance from Bing ads than Google ads.
A templated prompt that converts transcripts into usable outlines.
Default's head of growth shared 9 tactics he used to grow ARR by 42% in one month.
This blog post goes over the inner workings of log search engines and explains how they achieve fast search speeds. It starts with a simple, inefficient example using jq and bash, then progressively introduces more sophisticated data structures like inverted indexes, Tries, and Finite State Transducers (FSTs). FSTs are the most common choice in production search engines due to their efficiency in handling prefix, suffix, and infix searches.
This is an article about creating a minimal JavaScript compiler that converts reverse Polish notation expressions into WebAssembly bytecode. It starts with an extremely compressed 192-byte version and gradually de-obfuscates the code, explaining various JavaScript tricks used for brevity. Through this process, insights into WebAssembly structure, JavaScript optimizations, and compiler design are provided.
A staff engineer at GitHub uses LLMs in his daily work primarily as a powerful code completion tool and for fast prototyping. He also uses LLMs for learning new technologies, as a tutor to clarify concepts and check understanding, and for proofreading. Notably, he prefers not to use them for bug fixing as he trusts himself more.
After 25 years of coding, this developer has outgrown frameworks, seen the failure of rigid methodologies, and has seen the increasing scale of software overall. He recommends focusing on individual code narratives ("stories") to fully understand code and software.
Haystack Code Reviewer makes pull request reviews easier by breaking them into smaller, manageable parts. It uses an interactive canvas to visualize changes, showing a before-and-after view of diffs. This allows for a quicker understanding of the relationships between modifications within a single pull request.
Jscanify is a JavaScript document scanning library that uses OpenCV.js. It supports paper detection, highlighting, and extraction from images and video streams.
Ryan Dahl, creator of Node.js, is petitioning to cancel Oracle's "JavaScript" trademark, arguing that it is a generic term and that Oracle's claim is based on fraudulent evidence (a Node.js screenshot). Oracle's response attempts to dismiss the fraud claim by citing another specimen, avoiding the core issue of trademark ownership over an open standard.
This blog post goes over the inner workings of a dating app and learnings from them - both technical and nontechnical. The author discusses user ranking systems, how simple like-to-pass ratios are more effective than complex algorithms like ELO scores, and how user behavior significantly differs between men and women. App retention is heavily influenced by the feed algorithm, which must prioritize personalization over simple recommendations to maximize user engagement, particularly focusing on getting women to send likes and men to receive them.
A bootstrapped founder sold his remote computer control company, TinyPilot, for $600,000 to focus on family after the birth of his son. He transitioned into creating educational products, initially revising a blogging course and then shifting to writing a book on effective writing for developers.
Hardcoding feature flags is often a simpler, safer, and often sufficient solution for teams early in development compared to using a SaaS platform for them.
A deep guide on Git that starts with the basics and then goes deeper into its underlying mechanisms for a more comprehensive understanding.
Using chat interfaces for AI software development tools is fundamentally flawed because software development requires precise, documented specifications, not the ambiguity and lack of organization inherent in chat conversations.
This author plans to create a link blog to share interesting technical links with commentary and analysis.
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Apple plans to launch a new iCloud-based service called Confetti that will be tied to the iOS 18.3 Calendar app. Confetti offers a new way to invite people to parties, functions, and meetings. It will be free and ad-free and work with calendars from multiple services. There may be Photos integration so that attendees can seamlessly share their photos right from the Calendar event.
Meta's CTO, Andrew Bosworth, told staff that this year was the most critical for proving whether the metaverse was a visionary feat or a legendary misadventure. The company recently announced a series of changes in its Reality Labs division, which plans to launch half a dozen AI-powered wearable devices this year. Meta's trajectory this year will give it a good indication of whether smart glasses will be a really prominent computing platform. A full copy of the memo Bosworth sent to employees is available in the article.
Asteroid mining company AstroForge has plans to intercept a small M-type asteroid named 2022 OB5 on a mission launching no earlier than February 26. The asteroid is likely richer in metals than most asteroids. It will come within 404,000 miles of Earth in January 2026. AstroForge built its spacecraft in 10 months. The mission's primary goal is to make sure the spacecraft communicates back to Earth - the company expects that failure is more likely than success.
Alzheimer's disease is one of the leading causes of death among older adults in the US. No treatment has been created despite decades of research. Fraud and misconduct by scientists have played a huge role in the lack of progress over the last 25 years. This article looks at several examples of the deceptive practices employed over the years by scientists trying to ascend in a brutally competitive field. The hubris and lassitude around misconduct needs to change, otherwise skeptics of science will almost certainly act.
Some companies have had to change their interviewing methods due to candidates using AI to answer questions. However, many have found that candidates who use AI are less knowledgeable or competent. Most candidates aren't able to demonstrate critical thought when using AI, preferring instead to read back answers verbatim. One way for recruiters to test candidates is by asking them about past and current challenges, as this helps recruiters understand who the candidate is and how they would fit into the team.
Developers should avoid scenarios where a ground-up rewrite starts to look attractive. They should aim to have 90% of the work done in 50% of the available time to leave time for process improvements. Developers should automate good practices and think about edge cases where things can fail. There's usually a way to write code more simply. Code should be written to be testable.
OpenAI's 'deep research' is a new agentic research assistant that can compile full-blown research reports. Unlike previous versions of ChatGPT, it runs fully autonomously and works through many steps before returning an answer. The assistant can take anywhere from one to 30 minutes to research an answer depending on the complexity of the question - users can follow its work in real time. This article looks at how 'deep research' works, how well it works, and the impact the technology will have on research.
This article presents a deep dive into the world of dating apps for those who think that they can be 'fixed'. It looks at some of the stats in the industry and the complaints that users have about the apps they use. People don't present themselves well on digital platforms, which results in either over-hyper-optimization before meeting or disappointment when meeting. The core problem is that users don't want to go on dates to find out more about potential partners and would rather try to find a partner from their bed using unrealistic criteria.
Klarna has saved the equivalent of $10 million annually by using artificial intelligence to automate work typically done by humans.
The projects developers wish they could code if they had the time include next-gen scripting languages, novel messaging clients, karaoke apps, and more.
SoftBank will pay $3 billion a year to force the companies in its portfolios to experiment with AI agents.
OpenAI rates o3-mini's persuasive capabilities as a 'Medium' risk, meaning that the model has comparable persuasive effectiveness to typical human written content.
The US sovereign wealth fund is expected to be created in the next year by the US Treasury and Commerce Departments.
El Salvador has removed bitcoin's status as a legal currency, although it remains legal tender - its use is entirely voluntary but it cannot be used to pay taxes or settle government debt.
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OpenAI has introduced "Deep Research," an autonomous research agent within ChatGPT capable of performing multi-step research by synthesizing vast online sources. It is powered by an optimized version of the upcoming OpenAI o3 model.
A new paper from the Anthropic Safeguards Research Team describes a method that defends AI models against universal jailbreaks. A prototype version of the method was robust to thousands of hours of human red teaming for universal jailbreaks, albeit with high over-refusal rates and compute overhead. An updated version achieved similar robustness on synthetic evaluations and did so with a 0.38% increase in refusal rates and moderate additional compute costs.
DeepSeek's AI models, which are significantly cheaper to train compared to other leading models, have disrupted the AI market, potentially challenging Nvidia and other tech giants by showcasing efficient use of resources. This has shaken investor confidence in the AI sector, which traditionally believed that more spending equated to better performance. DeepSeek's success suggests that innovation, rather than just financial investment, could redefine the competitive landscape.
A great and thorough paper that explores how to encourage models to use more thinking tokens. One of the main findings is that with an extremely high-quality curated dataset of 1k examples and by appending “wait” to the end of a thinking sequence, you can encourage models to think longer, which leads to substantially improved performance on math and reasoning tasks.
The modern workhorse of multimodal understanding and generation is learned Tokenizers. These models are typically autoencoder style with a learned discrete codebook. They tend to work well but are very hard to train and require careful tuning of many auxiliary losses. This work shows that with a single diffusion loss, image tokenization is stable, scalable, and higher quality than many traditional methods.
DeepMind researchers analyzed how language models can perform regression tasks by decoding numeric predictions as text and found them as effective as traditional regression models while also enabling flexible density estimation.
Kron is a new optimizer that is making the rounds as a strong alternative to second-order methods. It dramatically outperforms Adam on a number of baselines. This code is a drop-in optimizer for PyTorch.
Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. Whether you're developing on a laptop, launching large-scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.
RaySplats enhances 3D Gaussian Splatting by integrating ray tracing, improving the handling of light and shadows in 3D object rendering while maintaining fast training and rendering speeds.
Great chapter on many policy gradient methods like PPO and GRPO, which can be used for tuning generative auto-regressive models.