ΞΘX retweeted
We're going beyond text and are releasing a new version of GPT-6 to all users in ChatGPT. Lots of model and infra improvements coming together here to scale it to 1.2B users!
ΞΘX retweeted
Codex 🤝 Tailscale
Codex Cloud can now securely connect to resources on your tailnet with Tailscale.
Useful tools should be easy to build with, combine, and turn into something even more useful.
See how it works →
buff.ly/yFcldrC
ΞΘX retweeted
终端听劝式更新,多会话、TUI等等全都有
UU远程终端功能更新,广泛听取大家的建议。现已支持多会话、会话继承、TUI、语音输入、Mac自动解锁等多项新功能。欢迎大家在体验后给我们提出改进建议~
ΞΘX retweeted
A note on recursive STARK mempools (EIP-8288) eips.ethereum.org/EIPS/eip-8…
This is an EIP that I am hoping we can get included in I-star (the fork after Hegota) that you can think of as the next step after Frames, that would unlock extreme amounts of power. Particularly:
* Ultra-cheap quantum-safe signatures (SPHINCS-). Much of the cost savings comes from the fact that the signature data (~3 kB) does not have to go onchain
* Ultra-cheap quantum-safe privacy protocols. Status quo minimum cost for private txs is ~300k if you engineer very well (no one does), status quo quantum-safe is ~10M gas, this could reduce it to low tens of thousands.
* Universal support for your favorite new signature or proof scheme without needing EVM changes. Whatever you use (Falcon, ML-DSA, some other lattice-based thing, something code-based or isogeny-based or even more esoteric), you can just wrap it client-side in a STARK, onchain gas cost low tens of thousands just like privacy protocols. Hopefully, Ethereum will never need "please support my favorite cryptographic algo" politics again.
* Private account abstraction: keep your account logic private, and in a private location onchain. Then you can make one transaction to change the ownership of all your onchain state - accounts, defi positions, privacy protocol notes, everything - without revealing which objects' ownership you're changing.
Here's how it works.
Your transaction can include a type of frame that we call a "dependency frame". The frame is a list of statements, asserting claims like "message hash M was signed by SPHINCS- public key P" and "data hash D was proven to satisfy a statement defined by verification key V".
When you send your transaction, you send it in an envelope, which includes a signature or a STARK for each statement in a dependency frame.
Once the transaction reaches the mempool, nodes aggregate them. Each node runs a loop: wait one tick (eg. 500ms), aggregate all new envelopes (either single-tx or multi-tx) that you've seen, remove any transactions that are expired, generate a STARK recursively proving all dependencies, and send a new multi-tx envelope containing that STARK.
Hence, the bandwidth load is bounded: each node's outbound is one STARK (~100-300 kB) per tick, plus each transaction getting broadcasted through the network once (as happens already).
The block builder acts as "yet another mempool node", receiving envelopes from the mempool (plus any side channels), generates its own STARK covering the subset of transactions it intends to include in the block, and adds that STARK to the block.
Total onchain overhead: one STARK (100-300 kB), plus 96 bytes for each statement being proven.
This is what I've called before ( youtube.com/watch?v=TSLUpOps… ) "The Proof Singularity". Today, we have all the ingredients to actually implement it.
As a developer, this requires a somewhat different workflow than you are used to, but it is conceptually simple. Any signatures or STARKs, you put into a separate frame. Then the main logic that today is verifying a signature or STARK, you replace with checking for the existence of a frame that includes the correct statement as a dependency.
Examples of useful statements:
* [tx sighash] verifies against [the pubkey at sload(0)]
* there exists a secret and a merkle branch such that hashing secret+0 and applying the merkle branch outputs (public) root R, and hashing secret+1 outputs (public) nullifier N
* there exists a secret address A, salt S and signature Z such that sload(0) = hash(A, S) and a merkle proof of address A inside a recent ethereum state contains some pubkey D where [tx sighash] was signed by D [this is private account abstraction; all variables except [tx sighash] and sload(0) are private; you can also make D a STARK verification key]
* there exists an ML-DSA signature signing [tx sighash], that verifies against an ML-DSA pubkey whose hash is sload(0)
At the core, this is moving any compute and data other than bookkeeping "business logic" outside the core path of Ethereum execution, sharding and parallelizing it via the mempool.
Notice also that this requires agreeing on a _language_ (aka. an ISA) for the recursive STARKs to define statements in. The current leading candidate is RISC-V. So this would also de-facto be Ethereum adding RISC-V (or something else we decide on) as a canonical ISA - a big decision that should be done carefully, but that I think will be necessary to drive Ethereum forward.
We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.
The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning.
Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community.
openai.com/index/advisory-gr…
ΞΘX retweeted
Hermes Agent is open for business.
Nous Portal now lets you invite colleagues to a Hermes Business account: your team gets agents across channels while sharing one central balance with per-member caps and shared skills that compound into proprietary IP.
Hermes Enterprise brings the same capabilities to on-prem or the cloud of your choice: a complete, self-improving, sovereign AI stack already trusted by some of the world's largest companies. Contact us to join them.
portal.nousresearch.com/busi…
ΞΘX retweeted
Heads-up for anyone maintaining L1 contracts:
→ The Glamsterdam upgrade will include gas repricings (EIP-8037, EIP-8038) that shift state creation and access costs.
→ Most contracts are unaffected, but a small set may break or degrade without updates. Affected contracts rely on assumptions the new schedule changes, such as hardcoded gas values.
Full context in the overview: blog.ethereum.org/2026/08/24…
ΞΘX retweeted
Ox Alpha revealed: @Zai_org’s GLM-5.3-Flash, the first native multimodal model in the GLM-5 series.
Ox Alpha was the biggest model ever on OpenRouter, processing over 20 trillion tokens in 6 days.
Continue to use the model now: openrouter.ai/z-ai/glm-5.3-f…
ΞΘX retweeted
Introducing Cloudflare Wallets. They will allow you to store stablecoins, purchase services, and receive funds across the web. cfl.re/455An86
ΞΘX retweeted
Local AI hardware = capacity * bandwidth * software stack
- Capacity tells you what fits
- Bandwidth tells you how hard the box can breathe
- The software stack tells you how much of the spec sheet you can actually cash out.
Hardware by Memory Bandwidth
- Mac Studio M3 Ultra: up to 512GB @ 819 GB/s
- RTX PRO 6000 Blackwell: 96GB @ 1792 GB/s
- RTX 5090: 32GB @ 1792 GB/s
- RTX 4090: 24GB @ 1008 GB/s
- RX 7900 XTX: 24GB @ 960 GB/s
- Radeon PRO W7900: 48GB @ 864 GB/s
- AMD Radeon AI PRO R9700: 32GB @ 640 GB/s
- Intel Arc Pro B65: 32GB @ ~608 GB/s
- Tenstorrent Wormhole n300: 24GB @ 576 GB/s
- Tenstorrent Blackhole p150: 32GB @ 512 GB/s + 800G
- MacBook Pro M5 Max: 460-614 GB/s
- MacBook Pro M5 Pro: 307 GB/s
- DGX Spark: 128GB @ 273 GB/s (coherent + CUDA)
- Mac mini M4 Pro: 273 GB/s
- Ryzen AI Max / Strix Halo: ~256 GB/s (~96GB usable GPU)
- MacBook Air M5: 153 GB/s
- Snapdragon X2 Elite: 152-228 GB/s
- Intel Lunar Lake: 136 GB/s
- Snapdragon X Elite: 135 GB/s
- Mac mini M4: 120 GB/s
- Arc Pro B60: 24GB @ ~456 GB/s
Verdict
- GPUs are still the bandwidth kings
- Apple wins: stupid amounts of memory, don't want to shard across GPUs
- Apple loses: when raw tokens/sec & concurrency matter more
- DGX Spark: coherent memory + NVIDIA stack
- Strix Halo / Ryzen AI Max: first real x86 unified-memory contender
- Tenstorrent: fully OSS stack, excited to see this mature
Fitting != serving
Even if it fits, you still pay for
- bandwidth during decode
- KV cache growth
- dequantization
- batching + concurrency
- scheduler quality
- framework overhead
The only mental model that matters:
1. What must fit?
2. What bandwidth tier do I need?
3. What software stack can actually deliver it?
In short:
- NVIDIA -> fastest raw speed
- Apple Studio M3 Ultra -> biggest one-box memory
- Strix Halo -> first real x86 unified
- DGX Spark -> coherent NVIDIA dev appliance
- AMD / Intel Arc -> rising alternatives
- Tenstorrent -> fully opensource stack
Ask: "which bottleneck am I buying?"
Do not ask: "which hardware is best?"
ΞΘX retweeted
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: api-docs.deepseek.com/quick_…
ΞΘX retweeted
Termius + Tailscale + tmux
You don't need your laptop to build with Claude Code, Codex, or any other AI coding agent:
→ Run your agent inside tmux to keep the session alive
→ Use @Tailscale for secure access to your laptop
→ Connect with Termius over SSH from iPhone, iPad, or Android
Start coding at your desk. Continue on the go.
ΞΘX retweeted
Dear Fiat24 community,
First of all, thank you for the trust you've placed in us over the years.
Since 14 July, we have temporarily paused Crypto Top-Up, and we know this has been inconvenient for many of you. We sincerely apologize.
From day one, Compliance has always come before Growth. Over the past months, our user base and transaction volume have grown faster than the internal risk management, compliance, and customer support capacity we originally built.
Rather than continue to scale with insufficient infrastructure, we've made the difficult decision to pause Crypto Top-Up and temporarily suspend new client onboarding while we strengthen our internal controls.
Our core services remain fully operational:
✅ International Wire transfers
✅ FX
✅ P2P payments
We're working around the clock to complete the necessary upgrades and bring Crypto Top-Up back as soon as possible. Thank you for your patience, your continued support, and for believing in what we're building. We'll keep you updated every step of the way.
Your Fiat24 Team
We are announcing a long-term strategic partnership with NVIDIA. NVIDIA is making a substantial investment in SSI that will let us 10x our compute in the next 12 months. We reached the point where our research is worth scaling and with this partnership we will be able to. We are honored by NVIDIA’s conviction.
ΞΘX retweeted
开放(开放权重、开源等)才能真正有效降低攻防不对等这个大问题,因为攻击者在商业模式上在动机上就完全赢过防御者,开放会让防御者更好地做好防御准备,缩小与攻击者的差距。
虽然开放会让攻击者更强,但也会让防御者更强;封闭挡不住攻击者,但很容易挡住防御者。
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…






























