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Cursor 1.0 has big upgrades, including the BugBot for automatic code reviews and the general availability of Background Agent, a remote coding assistant. The update also integrates with Jupyter Notebooks, allowing code changes directly within cells, and introduces a beta feature called Memories, allowing the tool to recall and reference past conversations.
App.build is an open-source AI agent that generates full-stack applications using the Neon platform. It serves as a reference implementation for codegen products.
Plan Explorer is a tool developed to visualize and analyze PostgreSQL query optimization decisions. It iterates over a search space, executes SQL queries, and generates diagrams showing query plans, estimated costs, and actual execution times, both in a browser with PGlite or through a proxy to a real PostgreSQL server.
In the early days of computer vision, when memory was extremely limited, researchers at Inria developed "An Efficient Chain-Linking Algorithm" to extract meaningful information from images. This algorithm, created by the PASTIS team, processed images line by line, storing only a few lines at a time, making it memory-efficient. The code's dynamic memory allocation was ingenious and was necessary.
The Chrome Secure Web and Network team has proposed a new "Local Network Access" feature to mitigate security risks from websites probing and attacking devices on local networks. It will require user permission before a website can make requests to a private IP address or loopback, unlike the previous Private Network Access (PNA) proposal which relied on preflight requests. This approach involves gating local network requests behind a permission prompt, giving users more control over which sites can access their local network.
Direct File is a free open source U.S. government service that lets taxpayers electronically file federal tax returns.
Achieving true AGI requires embodied intelligence and interaction with the environment, rather than simply scaling up multimodal models that lack a genuine understanding of the physical world and rely on just symbol manipulation.
Langfuse is doubling down on its open-source commitment by releasing all remaining product features, including LLM-as-a-judge evaluations and prompt experiments, under the MIT license.
Apple Notes in iOS 26 is expected to allow users to export their notes in Markdown format, though it is unlikely to support writing in Markdown directly.
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Apple's A20 chip, built on TSMC's second-gen 2nm process, will be used in the iPhone 18 Pro, 18 Pro Max, and iPhone 18 Fold. The processors use Wafer-Level Multi-Chip Module packaging, which allows different components to be integrated directly at the wafer level. The technique, which connects the dies without needing an interposer or substrate, brings both thermal and signal integrity benefits. This is a big leap in chip design and shows how technologies once reserved for data center GPUs and AI accelerators are making their way into smartphones.
SpaceX is on track to generate about $15.5 billion in revenue in 2025. The startup is privately owned, so information about its performance is rare. SpaceX's two main business lines are its launch operation and Starlink. Elon Musk claims that commercial revenue at SpaceX will exceed NASA's entire budget next year. A large part of the startup's cash is flowing toward Starship.
Australian startup Cortical Labs' CL1 is a code-deployable biological computer that fuses human brain cells on a silicon chip to process information via sub-millisecond electrical feedback loops. A tool for neuroscience and biotech research, the CL1 offers scientists a new way to study how brain cells process and react to stimuli. It uses live human neurons capable of adapting, learning, and responding to external inputs in real time. The CL1 will begin shipping in the summer at $35,000 each, or $20,000 when purchased in 30-unit server racks.
Neurotech startup Paradromics implanted its brain-computer interface in a human for the first time on May 14. The patient was already undergoing neurosurgery to treat epilepsy. The brain-computer interface was implanted and removed from the patient's brain in about 20 minutes during that surgery. The procedure demonstrated that Paradromics' system can be safely implanted and record neural activity. The startup plans to kick off a clinical trial later this year to study the long-term safety and use of its technology in humans.
Your mental model for 'what making software is' is extremely important when trying to figure out how to 'manage' it. A lot of what is essential for making great products will look like 'waste' when viewed through a manufacturing lens. When 'making software' is viewed as a process of discovery, developers behave completely differently - they might try to get something into users' hands as fast as possible or run parallel experiments in production with different versions. The goal isn't just to produce, but to find out what should be built.
Quarkdown is a modern Markdown-based typesetting system that can seamlessly compile projects into print-ready books or interactive presentations. It uses a Turing-complete extension of Markdown to ensure ideas can flow automatically into paper. Quarkdown brings functions and other syntax extensions to Markdown, opening up unlimited possibilities. Developers can define their own functions and variables within Markdown and create libraries to share with other users.
Meta and Yandex Are embedding tracking code into millions of websites to de-anonymize visitors. The code abuses legitimate Internet protocols, causing browsers to send unique identifiers to native apps installed on a device. It bypasses core security and privacy protections provided by the Android operating system and the browsers that run on it. Currently, the only way to protect against the tracking is to refrain from installing the Facebook, Instagram, or Yandex apps on Android devices.
The external world puts a speed limit on AI development. Systems need to be tested in real-world conditions to encounter failures they can learn from. Edge cases can be learned, but that will often need to happen while doing real tasks. This creates a speed limit in two ways: you have to wait to collect that data and some people may be reluctant to try out the technology while the system works out its bugs.
MetaHuman enables developers to quickly create realistic human characters - it can generate real-time animations and audio from almost any mono camera.
Colossal Labs plans to release a bio-acoustic project that maps out the different types of dire wolf howls later this year.
Viewers can interact with AI audio overviews, ask questions, and read FAQs.
The current best deal is Claude Max, which gives users almost unlimited use of Claude Code.
The next candidate for a traditional form factor Quest most likely won't ship until 2027.
The Lingo.dev Compiler makes any React app multilingual at build time without changing any components.
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Delve ran 4 placements across 2 TLDR newsletters and brought in 66 leads, with a meaningful chunk from enterprise. The result: $1M in attributed pipeline and a 52x ROI.
Google's NotebookLM now lets users share notebooks publicly via links. Viewers can interact with AI-generated summaries and questions while source content remains read-only.
Yoshua Bengio launched LawZero, a nonprofit AI safety lab backed by $30M in funding from major philanthropic donors.
Spaces allows developers to curate code, documentation, and custom instructions for Copilot, turning it into a subject matter expert that can be shared across organizations. Files and repositories added to Spaces automatically stay updated as code changes.
Hugging Face integrated vLLM directly into TRL to reduce inefficiencies in training with GRPO, an online learning algorithm.
A veteran developer rails against the many highly-skilled programmers still rejecting LLMs based on experiences with early chatbots, missing how modern coding agents autonomously navigate codebases, run tests, and iterate on failures. He dismisses common objections: developers already review all code before merging regardless of source, and hallucinations become irrelevant when agents can automatically compile, catch errors, and retry until tests pass. LLMs might displace developers but software engineers similarly automated away administrative roles like travel agents, record store clerks, and countless other professions.
AI progress over the last decade has been driven by scaling training compute of frontier systems. This can't continue beyond this decade. After 2030, AI progress has to mostly come from algorithmic progress. However, since the low-hanging fruit will have already been plucked, the yearly probability of AGI craters.
SPACE is a supervised learning method for genomic profile prediction that uses a Mixture of Experts model.
DIME is a diffusion-based model designed to estimate the joint distribution of interdependent medical treatment outcomes.
The framework orchestrates LLMs, recursive web searches, and structured reasoning to generate reports that would take a human hours or days to complete. JigsawStack offers control over research depth, breadth, model selection, and output formatting while maintaining strong citation transparency.
A startup advisor demonstrates building a polished ROI calculator for a manufacturing SaaS company in under two hours using Bolt.new, transforming a spreadsheet into an interactive tool that frames value for executives. Other examples include conference scraping tools, meeting prep dashboards, and feature prototyping that previously required engineering teams or expensive agencies but now cost around $70 in monthly subscriptions, arguing this enables non-technical teams to prove value and move faster than competitors.
AI agents often outperform humans at a fraction of the cost, not yet commanding premium prices due to ongoing technical evolution and perceived risk. Waymo, achieving significant safety improvements, remains cheaper than other options, reflecting a common pricing strategy across startups. However, in scenarios where AI's constant vigilance and processing power are crucial, premium pricing might emerge.
Microsoft researchers developed ADeLe, a framework that predicts and explains AI model performance on new tasks by assessing them across 18 cognitive and knowledge-based scales. ADeLe uncovered limitations in current benchmarks and created detailed ability profiles for various LLMs, highlighting discrepancies in strengths, weaknesses, and specific abilities. The framework showed an 88% accuracy in predicting AI success, promising improvements in AI evaluation, policymaking, and deployments.
OpenAI introduced a policy for coordinated disclosure of third-party software vulnerabilities found by its AI systems.
The studio is eyeing Andrew Garfield to play Altman, with Monica Barbaro (“A Complete Unknown”) as CTO Mira Murati and Yura Borisov (“Anora”) as co-founder Ilya Sutskever.
Pump.fun is preparing a $1 billion token sale at a $4 billion valuation, with tokens offered to both public and private investors and a launch teased within the next two weeks. The Solana-based memecoin launchpad has generated over $700 million in cumulative revenue and enabled nearly 11 million tokens with a total market capitalization of about $4.5 billion. In response to rising competition, Pump.fun recently introduced its own AMM, ending an unofficial partnership with Raydium, and rolled out a mobile app alongside a reinstated live-streaming feature.
Senator Lummis stated that U.S. military leaders, particularly generals stationed in Southeast Asia, support creating a national Bitcoin reserve as a strategic hedge amid economic tensions with China. She argued that holding BTC would strengthen the U.S. in both economic and military conflicts, noting the administration's broader “economic war” narrative. Lummis' remarks align with Trump's push to make the U.S. a crypto leader and contrast with China's comprehensive crypto ban despite its own digital Yuan development.
Ethereum Foundation's Protocol R&D group has rebranded to “Protocol” and reorganized around three strategic goals – scaling L1, scaling blobs (L2), and improving UX – to accelerate development in light of rapid zkEVM and L2 advances. Leadership has been explicitly assigned for each initiative: Tim Beiko and Ansgar Dietrichs on L1 scaling, Alex Stokes and Francesco D'Amato on L2 scaling, and Barnabé Monnot and Josh Rudolf on UX, with Dankrad Feist advising across tracks. The restructure streamlines teams and coordination structures to ensure research transitions quickly into production, while former PR&D members are moving on to other roles within the ecosystem.
InfiniFi introduces an onchain fractional reserve banking model that allocates a portion of “liquid” stablecoin deposits into higher‑yield “illiquid” farms to boost returns for both liquid and locked depositors without adding new protocol risk. Users choose between staking ($siUSD) for instant access or locking ($liUSD‑xw) for higher illiquid yields. InfiniFi then intelligently leverages part of the liquid pool into long‑duration strategies, amplifying overall yield. The only liquidity risk arises if liquid depositors withdraw en masse, but this pressure diminishes as total value locked grows, mirroring traditional banking resilience.
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Delve ran 4 placements across 2 TLDR newsletters and brought in 66 leads, with a meaningful chunk from enterprise. The result: $1M in attributed pipeline and a 52x ROI.
There was a surprising lack of understanding around USDT's historical importance in U.S. crypto circles at the Stablecon conference. Western markets are primarily driven by stablecoin programmability while emerging markets value their permissionless nature. The real profit opportunity lies in FX orchestration layers, which will need massive transaction volumes to achieve scale. Stablecoin user experiences differ greatly between U.S. savers/spenders and users in other regions. Tether's continued dominance is attributed to its strong user and liquidity network effects, while local stablecoins will require integration into a global USDT liquidity pool to succeed.
Circle is set to IPO on June 5 under the ticker CRCL, aiming to raise $624 million at a $6.7 billion valuation. Cathie Wood's ARK is committing $150 million and BlackRock's Larry Fink $60 million, about 35% of the total raise, and the deal is reportedly oversubscribed. As a traditional IPO with a 180‑day lockup, CRCL could trade above its $6.7 billion launch valuation, offering one of the only liquid ways to bet on stablecoin growth and blockchain's expansion amid a forthcoming GENIUS Act. How CRCL performs may set relative valuation benchmarks for DeFi projects, making issuers with stablecoin exposure appear more attractive and potentially catalyzing a “Stablecoin Summer” by lifting valuation ceilings.
InfoFi's promise to tokenize and democratize off-chain data has backfired, turning platforms like Crypto Twitter into spam factories where bots and airdrop hunters flood sentiment and mindshare metrics. Efforts to tokenize social capital, ranging from token-gated content and social tokens to onchain social graphs, have incentivized engagement over accuracy, worsening information quality. This “cobra effect” traps InfoFi in a narrow loop of repetitive, copy‑paste solutions that fail to address real needs and generate continual hype cycles. Genuine progress requires sourcing data outside of engagement-driven social consensus rather than building more coordination layers atop a flawed foundation.
Ethereum evolved into the leading smart contract platform by prioritizing security and decentralization, which enabled it to capture DeFi's product-market fit and accrue value via fee burns. Faced with scalability constraints, Ethereum embraced a rollup‑centric roadmap, offloading execution to Layer 2s and expanding data availability to keep transaction costs low while onboarding high‑velocity use cases. The main challenge today is ensuring rollup interoperability and restoring strong network effects like trust and liquidity by positioning Ethereum as the unifying settlement and DA layer for all rollups. Long term, Ethereum's strategy is to scale L1 throughput, solve cross‑rollup interactions, and gradually introduce minimal blob pricing to capture massive fee revenue as rollup adoption surges.