The thinking around AGI and superintelligence is fundamentally flawed. A lot of the thinking is created in an echo chamber, particularly in the Bay Area, where the same ideas amplify themselves without critical awareness. This amplification of bad ideas is a big problem in shaping a beneficial future for everyone. Realistic thought should be used to shape a future that is good for everyone.
There is a nationwide push by startups to develop sources of raw materials that the US desperately needs. Record levels of private investment and advances in artificial intelligence are resulting in new solutions to deal with China's crackdown on critical mineral exports. Any success will soften China's edge in the industry. China currently dominates the high-risk and low-margin mining and processing of many of the minerals the US depends on to build everything from smartphones to cars, jets, and satellites.
A startup called Operation Bluebird has filed a formal petition with the US Patent and Trademark Office to cancel X's trademarks of the words 'Twitter' and 'tweet' since it has allegedly abandoned them.
As services multiply, retries, cron jobs, and glue code can make orchestration brittle and hard to operate. Netflix Conductor was designed to solve this, but it's tricky to run at enterprise scale and security.
Meta is developing a closed model codenamed Avocado, expected next spring, after years of loudly supporting open-source. The new model is trained on the outputs (or “distilled”) from rival models, including Google's Gemma, OpenAI's gpt-oss, and Alibaba's Qwen. New Chief AI Officer Alexandr Wang is reportedly chafing under Zuckerberg's “micromanagement”. Long-time AI head Yann LeCun left last month after being sidelined under the new org structure.
Google DeepMind will open a research lab for discovering new materials in the UK as part of Alphabet's newly announced partnership with the British government. The agreement involves Alphabet tailoring several of its AI models for scientists, teachers, and public employees in the UK. The new lab will research materials that could improve medical imaging, solar panels, and chips. Using AI to unearth novel materials could drastically reduce costs and time.
Shopify merchants' products can now be discovered on AI platforms like ChatGPT, Perplexity, and Microsoft Copilot. Agentic storefronts allow merchants to sell their products across popular API chatbots. Agents can answer customers' questions while giving merchants insight into search trends and topics customers are asking about. Shopify plans to make every Shopify store agent-ready by default.
No vector databases, no RAG over conversation history. The system uses four layers: ephemeral session metadata (device, location, and usage patterns), long-term facts stored via a dedicated tool, lightweight summaries of recent messages, and a sliding window of the current conversation. OpenAI prioritizes speed and token efficiency over detailed historical context.
No one can definitively say whether we are currently in a bubble or not. No one should go all-in without acknowledging that they face the risk of ruin if things go badly. At the same time, no one should stay all-out and risk missing out on one of the great technological steps forward. A moderate position seems like the best approach. Intelligent investment requires sober, insightful judgment and skillful implementation.
Tangle [11] is a visual experimentation platform that lets you build ML pipelines using drag-and-drop, without writing orchestration code. Intelligent content-based caching means unchanged steps never recompute, and cached results are shared across your whole team. Works with any language and framework, including Python, R, Go, Java, or
Cursor has introduced Debug Mode, a new agent loop that incorporates runtime logs and human interaction to fix stubborn bugs. Inspired by expert debugging workflows, the mode generates multiple failure hypotheses, instruments code with logs, and loops in the user to reproduce errors and verify fixes.
Designing fast search engines is a subtle optimization problem. It takes effort to select the right algorithm and then tune it to get the best out of the CPU. Agents write longer queries than humans, so it is becoming increasingly important for text search to scale well with the number of terms. For text search, this means the cursor has shifted more and more from WAND to MAXSCORE.
Claude Code CLI now has async subagents, instant compact, customer session names, and usage stats. There are also new keyboard shortcuts on the /resume screen. Run 'claude update' to get all of the new features.
Agents are becoming the dominant paradigm for real-world AI applications. However, practitioners still rely on heuristics rather than principled design choices. This study attempts to derive quantitative scaling principles for agent systems.
Gemini is aimed at large organizations, not individual developers. It is designed for maximum compliance with government regulations, not for efficiency or productivity. Google doesn't want your business unless you're an organization that employs tens of thousands of people. OpenAI and Anthropic are much smaller and more nimble. They are able to make the process of setting up a developer account quick and easy.
Nvidia-backed Starcloud successfully trained the first AI model in space, using an Nvidia H100 GPU to run Google's Gemma LLM on their Starcloud-1 satellite. These orbital data centers promise significant energy savings compared to Earth-based facilities, addressing the growing power demands and environmental impact of terrestrial data centers. Starcloud plans a 5-gigawatt orbital data center to capture constant solar energy, with implications for both commercial AI workloads and real-time data analysis for military and emergency response operations.
Sourcegraph launched Amp 9 months ago as an experimental coding agent. It quickly grew to become one of the leading coding agents. Now, Amp is its own company operating at the frontier of software development.
Adobe has launched Photoshop, Adobe Express, and Acrobat within ChatGPT, allowing 800 million users to create and edit by simply describing their goals.
The Federal Reserve cut rates 25 basis points to 3.50-3.75% as expected, despite unusually large public dissension, with Kansas City Fed's Jeffrey Schmid and Chicago Fed's Austan Goolsbee voting to hold steady, while Trump appointee Stephen Miran dissented for a 50 basis point cut. Updated projections lowered core inflation to 3% for 2025 and raised GDP growth to 2.3% for 2026, though the dot plot maintained one 2026 rate cut versus markets pricing two as policymakers operate without key economic data delayed by the government shutdown. Bitcoin remained around $92,400 following the announcement as US stocks moved modestly higher and the 10-year Treasury yield dipped 2 basis points to 4.15%, with CME FedWatch pricing 24% odds of a January cut ahead of Powell's press conference.
Gemini just got CFTC approval to run a Designated Contract Market, clearing it to launch a fully regulated prediction market called Gemini Titan in the US. It will start with simple binary “yes/no” event contracts and could later expand into crypto futures, options, and perpetuals under the same regulatory umbrella. Gemini actually filed for this DCM license back in 2020, but only now is positioning it directly for the booming prediction-market vertical that Kalshi and Polymarket helped prove out.
Circle launched USDCx on Aleo's testnet via its xReserve platform, enabling privacy-preserving stablecoin transactions using zero-knowledge proofs for use cases spanning payroll, remittances, foreign aid, and national security. Aleo is building blockchain privacy infrastructure, with mainnet launch expected by the end of January, allowing users to protect transaction histories while maintaining regulatory compliance. Circle's xReserve enables blockchains to launch USDC-backed stablecoins that interoperate with native USDC, unifying liquidity.
Gondor launched a DeFi protocol, allowing traders to borrow USDC at up to 50% loan-to-value against Polymarket ERC-1155 position tokens with dynamic interest capped at 10-30% based on market risk, liquidating at a 77% threshold by buying opposite outcomes and merging pairs for $1 redemption. The platform offers automated 2x leverage through recursive borrowing loops and applies early closure mechanisms for time-sensitive markets that linearly reduce liquidation thresholds to zero starting seven days before resolution. Three actively-managed funds – Conservative, Moderate, and Growth – currently supply lending liquidity during beta with team-selected market support based on liquidity, spreads, and slippage. V1 launching in 2026 will introduce cross-margining, enabling multiple positions as collateral bundles with diversified pricing, addressing remaining prediction market borrowing risks.
A “crypto neobank” effectively rebuilds four functions (Saving, Spending, Earning, and Borrowing) onchain. Today, CEXes act like quasi-neobanks but are still tied to legacy rails and custodial risk, while most DeFi products are siloed. A true DefiBank would be fully onchain, self-custodial, and composable with stablecoin “savings” backed 1:1, payments that bypass card networks, trading/earn built on DEX routing, and borrowing that mixes onchain collateral with offchain credit data.
Ethereum's unopinionated, general-purpose strategy that enabled its WWIII-resistant global settlement system is now impossible to replicate as institutions choose Ethereum over alternatives for reliability, neutrality, and minimized counterparty risk, similar to Bitcoin's institutional appeal. Network effects compound as more assets tokenize, rollups like Base anchor to Ethereum's security hub, and EVM developer onboarding accelerates, with Vitalik Buterin's rollup-centric roadmap widening Ethereum's moat rather than shrinking it. The Ethereum Foundation appears to be "righting the ship" after two years of struggle, as anecdotal evidence and data show institutions defaulting to Ethereum despite crypto-native sentiment turning bearish on L1 valuations.
“Low-risk DeFi on Ethereum” effectively becomes a universal savings account as anyone, anywhere can park money in dollar stablecoins and earn ~4% onchain, versus ~0.4% in a US bank account and often negative real yields elsewhere. By making treasury-like returns accessible globally, Ethereum turns compounding interest from a rich-country privilege into something available to a single mom, a refugee, or a teenager learning finance. In that framing, the win isn't speculative upside. Instead, it's simply letting people hold value that keeps up with (or beats) inflation.
Stripe isn't charging to move USDC, it's charging to wrap stablecoins in a full payments stack (checkout UI, multi-rail routing, refunds, fiat settlement, fraud and compliance, subscriptions, analytics, and support) and embedding it where merchants already accept cards, PayPal, etc. To actually undercut 1.5%, a competitor would need to replicate that entire suite, not just accept a wallet transfer, which is why most merchants won't roll their own crypto integration for what is still incremental volume.
“Ultrasound Money” as a mechanical thesis is dead with Fusaka, fees and burn are structurally lower, institutions mostly want USD-denominated blockspace, and Ethereum's success no longer guarantees direct value accrual to ETH.
Stripe acquired the team behind mobile-first self-custody wallet Valora in an undisclosed acqui-hire as founder Jackie Bona transitions to pursue "expanding global access to financial systems," while the app's intellectual property returns to original developer cLabs.
First impressions matter. With Framer [4], early-stage startups can launch a beautiful, production-ready site in hours. No dev team, no hassle. Join hundreds of YC-backed startups [4] who launched here and never looked back:
Adobe has integrated free versions of Photoshop, Adobe Express, and Acrobat directly into ChatGPT, allowing users to edit images, apply effects, design cards and animations, and modify or merge PDFs through natural language prompts, with optional manual controls and the ability to open fully layered projects in Adobe's web apps. The features are available today on desktop, web, and iOS (Express on Android now, Photoshop and Acrobat coming soon). Adobe plans to expand these capabilities further in the coming weeks.