Shodipo Ayomide

I don't think Rust is the best programming language for LLMs. The only reason why Greg said this is because Rust limits the LLM from making mistakes by not compiling shitty code, but the LLMs still suggest using unsafe! to bypass security rules. Therefore, I would say that Go is the best — if there is any "best" language for LLMs. Since LLMs are based on next-token prediction, it's more important that the code looks almost the same to get a good result. Go was designed to make every app around the globe look almost the same; for instance, there is only one way to make a loop compared to Rust, which has at least five that I could think of (loop, for, while, while let, and map). I want the best language to be rust tho

@piyush784066 You can be doing this same engineering we do and not know who he is, ahh

No disrespect to Linus Torvalds, but this guy is the greatest geek alive 🫡 Created UNIX in 1971 when he was 28 years old. Created Go in 2009 when he was 66 years old😲 He also developed the B programming language (which led to C), created UTF-8 encoding (making international text possible online), and designed essential tools like grep that developers still rely on daily. He also helped with the development of Multics (that led to UNIX), Plan 9 from Bell Labs and Inferno operating systems. That's 4 operating systems in total... Most people don't even use these many OS. Pretty impressive resume, right? 🔥 And it's a shame that many people, even the ones in the IT and tech industry, don't know him. Ken Thompson.... Remember the name 🙏

Access control is one of the most critical and most operationally painful aspects of managing smart contracts. We built something to fix that! Today, we’re launching Role Manager, OpenZeppelin’s new open-source tool for managing onchain access control across smart contracts.

Quick announcement: After long and heavy suffering :) the S-two white paper is finally out: eprint.iacr.org/2026/532 Although nothing new in regard to the basic principles (a circle STARK, etc.) the white paper yet contains several details of broader interest: - A formal description of the flat AIR circuit model (used by several contemporary zkVMs) - A thorough soundness analysis of multi-table proofs: If one does not use "lifted" FRI, taming the soundness error turns out to be more sophisticated as expected. We introduce the notion of "cross-domain correlated agreement", and show that multi-table FRI satisfies this property. - A discussion of adjusted conjectures, which takes into account the recent boost of proximity gaps counter examples. We believe that it is plausible to hope for acceptable list- and line-decodability properties up to the information-theoretic barrier, the Elias bound. Thanks for all the help from the StarkWare team, and in particular to Dmitry Krachun for the many helpful discussions around his counter example.

⚡️ NEW: Bitcoin Quantum has launched testnet v0.3 with the first live deployment of BIP 360, a quantum-resistant upgrade for Bitcoin.

AI agents that can reason but can't pay for anything are just expensive interns.  Today @worldlibertyfi shipped the infrastructure to fix that. AgentPay SDK, open source, self-custodial, policy-first. Built on USD1.  Your agent. Your keys. Your rules. Check it out: agentpay.worldlibertyfinancial.com

x402 is dead.

@stripe Hm

.@nodejs has always been about I/O. Streams, buffers, sockets, files. But there's a gap that has bugged me for years: you can't virtualize the filesystem. You can't import a module that only exists in memory. You can't bundle assets into a Single Executable without patching half the standard library. That changes now 👇

A few days ago, my team flagged an AI-generated video of me endorsing a forex and crypto platform. It looked and sounded remarkably real, but it was completely fake. This incident highlights a growing and serious threat to digital trust. @elonmusk @finkd

Time to rewrite all in rust.

@BrittanyinTexas Where is his lawyer? 😕

UNBELIEVABLE INCOMPETENCE In his deposition, this DOGE LEAD actually admitted he emailed documents to his personal device and sent them over Signal with auto-delete. You literally cannot make this stuff up. 🤡

Gateway gives you one unified USDC balance across every supported chain. Deposit on one, transfer from another. This walkthrough covers deposits, crosschain transfers, the Forwarding Service, and how SCA wallets handle delegation, all with the same Gateway contracts.

@alexa__meme @WatcherGuru 😂😂😂😂😂

@WatcherGuru Solution?

JUST IN: 🇺🇸 President Trump says oil companies "should use" the Strait of Hormuz. Earlier today, Iran struck a Thai ship attempting to pass through it.

1/ The STRK20s Technical Paper is now live. It outlines the design, architecture, and core ideas behind STRK20s, a privacy capability for any ERC-20. If you’re bullish on privacy as crypto’s next major unlock, this paper is for you 🧵

We just published our Rust Developer Salary Guide 2026 🦀 Global and remote compensation ranges by role, experience, region, and industry. This is only the beginning. We plan to improve coverage and accuracy over time. Feedback welcome. Link in the comments 👇

ZK is for privacy ZK is for scale ZK is for security ZK is for lifting barriers and expanding what blockchains can do

@morganlinton @denisyarats Slowly but surely 🙏🏽 cc @lanreadelowo

The cofounder and CTO of Perplexity, @denisyarats just said internally at Perplexity they’re moving away from MCPs and instead using APIs and CLIs 👀

@StatiSense They will not see this one o

NIGERIA RECORDED ₦17.78 TRILLION TRADE SURPLUS IN 2025 Trade balance by year: 2020 — 🔴₦178.26 billion 2021 — 🔴₦1.94 trillion 2022 — 🟢₦1.21 trillion 2023 — 🟢₦5.10 trillion 2024 — 🟢₦16.85 trillion 2025 — 🟢₦17.78 trillion 🔴Deficit 🟢Surplus Nigeria maintained a trade surplus for the fourth consecutive year in 2025. The annual surplus grew to ₦17.78 trillion, up from the ₦1.21 trillion recorded in 2022. This 2025 level is roughly 15 times the volume reported three years prior. #Statisense (NBS)

Amazon had four Sev-1 outages (their highest severity level) in a single week. Internal memos say AI-assisted code changes were a contributing factor. The timeline here is wild. In October 2025, Amazon laid off 14,000 corporate employees. In January 2026, another 16,000. That’s about 30,000 people in five months, roughly 10% of the corporate workforce. CEO Andy Jassy said the cuts were about culture, not AI. During those same months, Amazon set a target: 80% of developers using AI coding tools at least once a week. They tracked adoption closely and blocked rival tools like OpenAI’s Codex. Even so, 30% of developers still hadn’t touched Amazon’s in-house tool Kiro by January. In December 2025, Kiro caused a 13-hour AWS outage. The AI tool had production-level permissions and decided the best fix for a bug was to delete and recreate an entire live environment. A second incident involved Amazon Q Developer, another AI tool. Amazon blamed both on “user error, not AI.” But quietly added mandatory peer review for all production access afterward. Then March 5: Amazon’s retail site went down for about six hours. Over 22,000 users reported checkout failures, missing prices, and app crashes. Amazon called it a “software code deployment” error. Five days later, SVP Dave Treadwell made the normally optional weekly engineering meeting mandatory. His memo acknowledged “GenAI tools supplementing or accelerating production change instructions, leading to unsafe practices.” These problems trace back to Q3 2025. Amazon’s own assessment: their GenAI safeguards “are not yet fully established.” The new rule: junior and mid-level engineers now need senior sign-off on any AI-assisted production changes. Treadwell also announced “controlled friction” for the most critical parts of the retail experience. For context, Google’s 2025 DORA report found 90% of developers use AI for coding but only 24% trust it “a lot.” An Uplevel study of 800 developers found Copilot users introduced 41% more bugs with no improvement in output. Amazon is finding out what those numbers look like at the scale of a $500 Billion revenue company, with 30,000 fewer people on staff to catch the mistakes.