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With all the noise about agents, it's easy to forget that an agent is just a looping LLM call + Memory + Tool usage. Use step-by-step tutorial [4] to build an agent that "thinks" with an LLM, calls external tools, remembers context, and keeps looping until it gets the job done.
Larry Ellison has become a media mogul whose portfolio and power could exceed that of predecessors like Hearst and Pulitzer. Oracle is among the investors in the new American version of TikTok, and Ellison owns more than 40% of Oracle's stock and is its chief technology officer. It is still unclear what the exact share of ownership will be and who will run the new TikTok. The Ellison family recently secured an $8 billion deal for Paramount and CBS, and it is reportedly preparing a bid for Warner, which includes CNN.
OpenAI and Nvidia are now more intimately linked than ever with a monumental deal that will see Nvidia investing $100 billion into OpenAI and providing cutting-edge processors to power a host of new datacenters. The deal was negotiated largely through a mix of virtual discussions and one-on-one meetings between Sam Altman and Jensen Huang - no bankers were involved. Microsoft, OpenAI's principal shareholder and primary cloud provider, was only notified about the deal a day before it was signed. Nvidia and OpenAI's first gigawatt site will go online in the back half of next year.
Virtual cells are learned simulations of cells and cellular systems that can be observed in varying conditions and changing contexts. Computational simulations of cells can be useful for all sorts of clinical and preclinical research. The field is still in its early days, but in time, these models will become routine parts of treatments. They will help patients avoid wasting precious time on ineffective treatments and enable entirely new targets.
The chips used to run AI datacenters generate much more heat than previous generations of silicon. Current cooling technology will become a bottleneck to progress in just a few years. Microfluidics could boost efficiency and improve sustainability for next-generation AI chips. Microsoft has successfully developed an in-chip microfluidic cooling system that can effectively cool a server running core services for a simulated Teams meeting. The company's tests showed that microfluidics performed up to three times better than cold plates at removing heat. Advanced cooling technology would improve power usage effectiveness and reduce operational costs.
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Basecamp is the no-BS project management tool that makes sense immediately. No onboarding saga. No notification hell. One clean place to see who's doing what, what's done, and what's currently on fire. Everything — files, convos, context — stays where it belongs: in the project. Start for free [9]. Stay because it actually works. Try
Ryan Salva, Google's project manager for developer tools, is responsible for tools like Gemini CLI and Gemini Code Assist. His team recently released new third-party research that showed how developers actually use AI tools. This article contains an edited interview with Salva where he talks about the research, how he uses AI tools, and the future of IDEs. Salva believes that over time, the time spent in the IDE will gradually shrink, and the job of the developer will start looking more like an architect.
This post looks at how Python can be pushed beyond its limits of speed and portability to create a compiler that turns ordinary code into fast, portable executables. The approach generates optimized kernels while keeping the Python source unchanged. It demonstrates why understanding systems at the lowest level matters.
The fundraising script has flipped for a few dozen of the top AI startups: VCs are pitching to them and presenting them with gifts and favors in hopes of leading their next round. The best companies are getting preempted every round, and the time between rounds is shrinking. The surge in preemptive deals and soaring valuations has kindled fears of an AI bubble. Some founders have been wary of accepting offers as they risk pricing themselves out of future M&A opportunities or locking themselves into aggressive growth expectations if they raise cash at unsustainable levels.
Tether is looking to raise between $15 billion and $20 billion for a roughly 3% stake through a select group of high-profile key investors. The deal could put the company's value on par with OpenAI. It will involve new equity rather than existing investors selling their stakes. The talks are still in an early stage, so the details could change.
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AI will increase the amount of compelling content on YouTube with better margins in the long run.
npm install allows the running of arbitrary code, making it unsafe for a variety of environments.
x402 is an open protocol for internet-native payments that enables users to pay for resources via API without registration.
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TLDR AI is your daily fix of LLMs, GenAI, and deep learning goodness. Same TLDR format. Still free.
Strategies are about navigating the path to creating your vision.
We have only started to slowly identify the elemental parts of intelligence - we need to know all, or at least most, of the parts to make falsifiable predictions to develop a theory of intelligence.
When two Claudes talk to each other, after a sufficient number of turns, they appear to enter into a feedback loop in a state that sounds a lot like Buddhism or Eastern mysticism.
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Bad actors use AI to test stolen credentials across thousands of sites. They share attack patterns in real-time and automate everything.
Apple has begun to lay the groundwork for adopting Anthropic's Model Context Protocol (MCP) in its latest round of betas. MCP allows AI agents to interface with traditional platforms. The standard has been widely adopted and has become a universal pathway for AI assistants to plug into APIs and data sources. Apple plans to let developers use a system-level MCP integration to expose actions and functionalities within apps to AI platforms and agents.
OpenAI has laid out its vision for a $1 trillion build-out of computing warehouses across the US and abroad. It announced five new datacenter sites across the US, built with Oracle and SoftBank, which together will bring online nearly 7 gigawatts of power. The company envisions that it will need more than 20 gigawatts of computing capacity to meet demand for ChatGPT. Each gigawatt is expected to cost roughly $50 billion.
Google Labs' Mixboard is an AI-powered concept board that lets users generate and refine visual ideas using text prompts, image editing, and contextual generation tools.
Perplexity's new Email Assistant for Max subscribers integrates directly with users' inboxes to draft replies, organize messages, and schedule meetings.
AI coding agents are great for new projects or small changes, but they often make developers less productive in large, established codebases. This post discusses a family of techniques called 'frequent intention compaction' that involves deliberately structuring how context is fed to AI throughout the development process to improve performance on large codebases. The technique has allowed a team to use AI to handle Rust codebases with 300,000 lines of code, ship a week's worth of work in a day, and maintain code quality that passes expert review. It shows how AI for coding is actually a deeply technical engineering craft.
Sampling is the process of selecting a token from a model's vocabulary based on the probability distribution. Structured outputs allow models to turn unstructured data into structured data. Together, they both determine a model's next chosen token. Large language models are extremely sensitive to the slightest variation in their system prompts, templating, structured outputs, and sampling parameters.
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Running AI on your PC is transforming productivity - but like all emerging tech, it comes with some security risk. Learn about the tactics attackers use to gain entry to [12] your endpoints, and how
GPT-5-Codex is now live in OpenAI's Responses API. It is also available in the Codex CLI via API key. The model has been optimized and is not a drop-in replacement for other models. A link to a prompting guide for the model is available.
The Chrome DevTools Model Context Protocol (MCP) server brings the power of Chrome DevTools to AI coding assistants. It allows AI coding assistants to debug web pages directly in Chrome and benefit from DevTools debugging capabilities and performance insights. Use cases include verifying code changes in real-time, diagnosing network and console errors, simulating user behavior, and automating performance audits. A video showing how the Chrome Dev Tools MCP server works is available.
Google has significantly improved function calling and enhanced proactive audio capabilities in the Gemini Live API to handle interruptions, pauses, and side conversations gracefully. It plans to roll out support for thinking capabilities next week. Details about the recent updates to the Gemini Live API are available in the link along with video demos of the new capabilities.
OpenAI wants to create a factory that can produce a gigawatt of new AI infrastructure every week. The project will take several years and require innovation at every level of the stack. A lot of the infrastructure will be built in the US. The company will release more details about its plans and partners over the next couple of months.
There has never been a better time in the history of computing to build software. Advances in AI now make it possible to build apps with new capabilities. This post lists a few ideas for builders to consider.
Microsoft's Publisher Content Marketplace (PCM) will launch as a pilot program with a limited set of publishers. The company's Copilot assistant will be the first AI buyer on the marketplace. Most AI companies have focused on brokering licensing deals that pay publishers upfront for access to content rather than on a per-use basis. PCM will help Microsoft deepen its relationship with publishers as it expands its AI capabilities and restructures its relationship with OpenAI.
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Meta is investing "tens of millions" into the American Technology Excellence Project, a super PAC targeting state-level candidates who oppose AI regulation.
ChatGPT will start using an age-prediction system for under-18 users and stop discussing suicide with teens.
The Pew Research Center found that most Americans are increasingly pessimistic about AI's effects on society.
Bitcoin is consolidating below $113K as traders await Fed Chair Jerome Powell's speech and Friday's core PCE inflation data, which could shape Q4 momentum. Analysts flagged $115,200 as a key support holding above opens the door to retesting highs, while a break lower risks a slide to $105K. After last week's $1.7B leverage flush, liquidity has returned, whales are accumulating, and options demand is clustering around $120K–$125K calls, setting up Powell and PCE as critical near-term catalysts.
Patrick Witt, Executive Director of the White House Council of Advisors on Digital Assets, said he expects the sweeping crypto market structure bill to pass before the end of 2025. The legislation includes the CLARITY Act and the Responsible Financial Innovation Act, which establish a comprehensive U.S. framework for digital assets, dividing oversight between the SEC and CFTC.
Kalshi's Crypto Pre-Markets let users speculate on events tied to pre-token projects, like whether PumpFun, OpenSea, Monad, or Hyperliquid will launch tokens or conduct airdrops. This opens up tradable exposure to topics that currently lack direct markets, similar to how Pendle drove adoption via points speculation. Prediction markets are increasingly becoming a central venue for crypto-native speculation before tokens exist, giving traders a way to price in early probabilities.
x402, the open standard for onchain agentic commerce created by Coinbase, will become controlled by an independent foundation called the x402 Foundation. The foundation will be co-founded by Coinbase and Cloudflare – one of the largest internet infrastructure providers who recently announced an agentic pay-per-crawl option for websites – with more partners to be announced soon. Creating a foundation is a significant step toward making the standard truly open and neutral and achieving the same relevance and scale as HTTP or DNS.
Kalshi and Polymarket dominate 99% of the prediction market landscape. Kalshi captured 63% market share in early September due to a surge in sports prediction activity. Both platforms actively court builders with different approaches, targeting crypto Twitter communities and DeFi ecosystem developers. Five product categories are emerging across the ecosystem: DeFi protocols enable lending and borrowing against prediction market positions, with projects like Gondorfi building AAVE-style infrastructure and Flipr creating leverage trading platforms; analytics and aggregator tools include Polysights for AI-enabled dashboards with insider detection, Betmor for trading terminals, and Poly Data for comprehensive market analytics; perps products allow users to long/short everything from pre-IPO companies to quantified public perception and mindshare trends, and AI applications like Sportstensor's Almanac delivering 72% ROI on MLB bets and SIRE turning football footage analysis into trading insights; and niche prediction markets feature decentralized market creation, gamified experiences, and specialized focus areas.
Fluid DEX maintains a structural advantage in non-volatile pairs like USDC-USDT through a unique Smart Debt feature that turns normal borrowers into passive liquidity providers by allowing debt to be denominated as DEX pool shares rather than single assets, reducing borrowing costs by up to 1.15% APY and creating deeper liquidity than EulerSwap's market maker-only approach. The data supports this advantage with Fluid ranking as the #2 DEX on Ethereum with $600 million daily volume versus EulerSwap's #11 ranking with $25 million daily volume, both driven primarily by non-volatile pairs, while Fluid's unified liquidity layer pools assets across all markets compared to Euler's fragmented vault structure. Gas efficiency creates another significant barrier for EulerSwap on Ethereum mainnet, with Fluid swaps consuming around 140k gas through simple borrow/repay operations versus EulerSwap's 390k gas requirements due to oracle calls, health checks, and vault limit verification. However, EulerSwap's permissionless vault architecture positions it strongly for long-tail assets, new stablecoins, and DAO tokens where flexibility matters more than liquidity depth, with both platforms ultimately solving different problems rather than directly competing for the same markets.
Aerodrome has distributed $1 of revenue to $veAERO voters for every $723 in trading volume, a model that would have paid out $4.3B if applied to Uniswap's $3.1T in 5-year volume. For comparison, that equals 88% of UNI's current market cap. However, Uniswap has returned nothing to token holders. In the past 30 days alone, Aerodrome distributed $35M to voters, outpacing the combined revenue of PancakeSwap, Curve, and Jupiter.
Pendle users often target longer-duration principal tokens (PTs) for fixed yields, but pre-token generation event demand for yield tokens (YTs) can create attractive opportunities in shorter-term PTs. When traders buy YTs, their price rises, pushing down PT prices and boosting PT fixed yields. As shown with USDe pools nearing maturity, PTs with just two days left were offering extreme yields (15–25%), thus short-duration PTs can sometimes provide outsized returns if YT demand spikes near expiry.