This plugin enables Claude Code users to start using Codex from the workflow they already have. Users can use Codex from inside Claude Code for code reviews or delegate tasks to Codex. The plugin uses the local Codex CLI, so existing sign-in methods and configs still apply. It also uses the same repository checkout and machine-local environment.
Most of the signals that trigger engineering work are already machine-readable. The current bottleneck is where a human reads that signal, interprets it, and then types a prompt telling the agent what the signal already said. Give agents comprehensive unit tests so they can verify their own output, good documentation to discover context, reproducible dev environments to run code, and rich system accounting. This scaffolding will enable agents that can close incidents around the clock.
High-growth AI startups are flush with venture capital. Combined with a wildly competitive talent market, this has caused increasingly creative incentive structures and more cash-heavy offers. Startups are focusing on hiring the best as they need to stay lean and small. This is creating a split economy in the tech industry where the top 5% to 10% of candidates are getting all of the offers and the rest are struggling.
AI will see much further than the spreadsheet ever could. It will allow businesses to accomplish incredible things, and make possible coordinations of labor and capital more ambitious than anything we can imagine today. However, as corporations become dominated by AI systems, the most human elements of organizations may be devalued or discarded entirely. Great organizations are great because of something irreducible about the collection and organization of particular people toward particular ends.
Granola transcribes directly from your device audio, so no bot ever joins the call. Jot down what matters, and Granola makes your notes awesome. Claim your free month [16] with code: TLDR1MO
Jevon's Paradox states that the cheaper a product becomes, the more it is consumed, and Veblen goods are those whose demand increases with price - it is unknown which way the AI industry will go.
Instagram Plus is being tested in select markets, including the Philippines, Japan, and Mexico, with the plans costing the equivalent of $2 USD per month.
The cost to implement is the time and expertise needed to produce code, and the cost to verify is the time and expertise needed to confirm the code is correct.
Stop guessing what to modernize. This playbook from Microsoft's Azure Copilot Migration Agent team gives you strategies to decide what to re-platform, refactor, and what to leave as is. Try it yourself–download a copy today [21].
A configuration error in Anthropic's content management system exposed a draft blog post describing a new model called Claude Mythos. The model is reportedly larger and more intelligent than the Opus models. The draft warns that the model poses unprecedented cybersecurity risks as it is far ahead of any other AI model in cyber capabilities. Mythos is extremely compute-intensive and expensive to serve - Anthropic is working on making it much more efficient before any general release.
Dario Amodei and Sam Altman clashed for years when Amodei was still at OpenAI. The final split happened toward the end of 2020, after a disagreement over whether OpenAI should be a market company or a public-good company. Dario left with nearly a dozen OpenAI employees. Within five years, Anthropic would be lining up banks, racing toward an initial public offering before its founders' former employer.
Sid Sijbrandij ran out of standard care treatments for bone cancer, so he started creating treatments for himself. This site details his journey and the results of the treatments so far. Sijbrandij's cancer is now in remission. He is now working with companies to scale his approach for others.
Scientists have discovered a surprisingly large reserve of silent synapses in the adult brain. These unused neural connections can be rapidly activated to store new memories. This system allows the brain to create new memories without overwriting the important memories stored in mature synapses. If silent synapses decline with age or disease, it could help explain why learning new skills or adapting to change becomes more difficult over time.
Stop babysitting your coding agents. Unblocked [13] gives them the decisions, history, and conventions behind your code so they generate mergeable output. It pulls from organizational knowledge, resolves conflicts, and cuts rework by delivering only the context agents need
Pretext is a browser library that solves the problem of calculating the height of a paragraph of line-wrapped text without touching the DOM. It uses a clever array of tricks to make the process faster and enable all sorts of new text rendering effects. Pretext supports all languages, including Korean mixed with RTL Arabic and platform-specific emojis. A demo is available in the article.
All harness design is to overcome the problems of agents either becoming lazy and cutting corners or being confused and stupid. For most people, starting with a vanilla startup using native features will be good enough. However, a custom agent will allow users to create new workflows that directly address all the ways agents fail in more specific contexts. This article describes all of the problems developers likely face when using agents in long-running autonomous projects so that they can better put these problems into words when creating custom harnesses.
The most important ideas in AI right now are autonomous component improvement, the transition to intent-based engineering, the move from opacity to transparency, the realization that most work is scaffolding, and the idea that expertise gets diffused into public knowledge. The speed of improvement in many fields is about to accelerate beyond anything we've ever seen. The new bottleneck is being able to say what you actually want. Every organization is going to converge on the same cycle: define what you're trying to do, execute with agents, log everything, collect failures, and let the system improve itself.
Google bought DeepMind for $650 million at the end of January 2014. It poured billions into DeepMind's research, but it took a decade for the quest for superintelligence to go into overdrive. This article tells the inside story of how Google ended up purchasing the startup and the specific terms of the final deal.
Your AI agents are fast but flying blind. mirrord connects them to real API responses, database state, and queue payloads so every change gets tested against actual staging. See how monday.com cut dev cycle
Executives built their careers around managing non-deterministic systems, while ICs operate in a more deterministic world and are evaluated on their ability to deliver precise, reliable output.
Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. This case study breaks down their strategy, results, and example ads. Read the
Apple will let Siri use AI services other than ChatGPT as part of the iOS 27 update. The approach will help Apple generate more revenue from third-party subscriptions through the App Store. It will mean Apple can add more external AI services without entering business discussions. The change is separate from Apple's work with Google to rebuild Siri using Gemini models.
SpaceX is preparing for an initial public offering aimed at mid-June, just before Elon Musk's birthday. Musk wants investors to visit SpaceX's manufacturing facilities and possibly witness rocket launches. He is betting that fund managers and analysts will leave with the desire to put in big orders for the IPO, which is expected to raise between $40 billion and $80 billion. The filing for the IPO is expected to be done in the coming days.
NASA announced on Tuesday that it will pause work on a lunar space station and focus instead on building a surface base on the Moon. The agency has spent close to $4.5 billion on developing technology for the Gateway program since its beginning in 2019. There are pieces of the space station undergoing construction and testing in factories around the world. NASA plans to repurpose the core of Gateway, the Power and Propulsion Element, into a nuclear propulsion demo. It will use the nuclear engine in the interplanetary SR-1 mission scheduled before the end of 2028.
Two scientists conducted a study over 20 years where they cloned generations of mice to see what would happen. The researchers created a total of 58 generations before the project ended - the mouse cells just wouldn't make clones. This took 30,947 individual attempts due to the low efficiency of cloning technology. There was a steady accumulation of mutations over the generations, and an entire X chromosome was lost at some point between generations 25 and 45, and never regained. The various other chromosomal deletions, inversions, and translocations added to the reasons why the cloning process failed after 58 generations.
Oracle AI Database acts as a unified memory core for agents [10]. Vector search, relational, JSON, and graph data live together so agents can reason over live enterprise data without extra vector stores, pipelines, or synchronization jobs.
Stripe Projects is a new tool in the Stripe CLI that lets users provision real services from the terminal, keep resources in their provider accounts, sync agent-ready credentials safely, and upgrade to paid tiers when needed, without rebuilding their stacks or leaving the terminal. It is designed to make setups repeatable across machines and teammates, and deterministic enough for agents to operate safely. Projects can handle payment without re-entering payment details across provider dashboards for paid tiers. Developers can use it to go from a local repository to a working stack backed by provider accounts they own.
Humans collectively can do incredible things, but much of it is illegible tribal knowledge passed down orally through generations of apprentices, and through the capabilities of machines that fabricate the next generation of machines. A lot has been done to refine human knowledge, extract its essence, and compile it into a form that can help future generations reach new heights. So far, this has proved to be a uniquely human capability. Diagnosing, fixing, and then figuring out how to test the real fix is hard enough as a human. Reproducing these system failures in an agent-testable way is inevitably going to be expensive and impractical.
This article contains a transcript of an interview with SpaceX's President and COO, Gwynne Shotwell. The interview covers the xAI/SpaceX merger, SpaceX's upcoming IPO, data centers in space, Starlink in war zones, orbital traffic, and more. Shotwell also discusses her personal relationship with Elon Musk. She also talks about her experience as a woman in an industry where more than 75% of the leadership is male.
Software developers get rewarded for adopting new technologies fast, but white-collar workers get penalized as stability and risk mitigation are major parts of the value they provide to clients. Companies need to pair subject matter experts with cutting-edge researchers to take full advantage of the AI era. This business model encourages practitioners to hand off tasks to be automated instead of clinging to old ways of working. The winning businesses build the machines that build the machines.
Devs & Builders Only: Access cutting‑edge models, agent capabilities, data, and compute—then leave ready to apply the latest AI workflows in your projects. Stay at the forefront of AI innovation. Learn more [17].
Tesla's Full Self-Driving has always depended on handing off to the human, and this has resulted in Tesla's robotaxi service with 'safety monitors' crashing six times as often as human-driven taxis.
Jensen Huang discussed a future of AI factories that manufacture tokens during his 2.5-hour-long keynote at Nvidia's multi-day GTC 2026 developer conference.