与「band」相关的搜索结果

Retentive highlights the extraordinary potential of peer-to-peer infrastructure, positioning Perceptron Network as a cornerstone of next-generation artificial intelligence research, decentralized bandwidth sharing, and sovereign data management. @PerceptronNTWK #NodeAndProud#

BREAKING: Elon Musk’s new full interview with CMG. 0:15 On Xi Jinping 1:03 Tesla Shanghai factory 2:27 Cybercab rollout 3:55 Speed of AI breakthroughs 4:29 Grok 4.7 and Grokbot 5:48 SpaceX/Tesla data for real-world AI 6:48 Chinese AI models and the compute gap 8:16 China’s electricity output 9:01 US-China AI safety 9:27 Humanoid robots and Optimus 10:55 1 billion robots in 10 years 13:04 Money may not matter 16:27 10 billion to 100 billion robots 17:09 Space cooperation and Mars 21:07 Neuralink and human bandwidth 22:37 Education in the AI era 24:02 Visit Shanghai, and Beijing 24:38 Beijing high-speed rail 24:59 “Words do not do justice to China”

Google DeepMind's Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS take #1# on all seven Voice Arena TTS language boards. @voicearena_ai evaluated both models ahead of today's launch, and the results were phenomenal. Every ranking on Voice Arena comes from blind, head-to-head votes by vetted native speakers, scored with Bradley-Terry Elo. On US English, Flash-Lite takes #1# of 20 at 1087 Elo, 19 points above Cartesia's Sonic-3.6 and inside the statistical band at the top, with Gemini 3.8 Flash at #3# on 1061. Outside US English the two models finish #1# and #2# on five of the six remaining boards, with Gemini 3.1 Flash TTS behind them in third, so Google DeepMind holds the entire top three in Japanese, Arabic, Mexican Spanish, Vietnamese and Brazilian Portuguese. Results backed by thousands of blind, head-to-head listener votes from native speakers across seven languages. Congratulations to @GoogleDeepMind on the release! See below for the exact audio raters judged, what they said, and every leaderboard 🧵

A note on recursive STARK mempools (EIP-8288) 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 ( ) "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.

Elon Musk on the single biggest poverty lever. "And I think the single biggest thing you can do to lift people out of poverty and help them is giving them an internet connection." Most aid arguments still start with cash, food, or roads. Elon is saying the unlock is a connection — once you are online, knowledge is free and your market is the planet. • Low-cost, high-bandwidth internet where cables never reached • Learn anything for free once you are connected • Sell goods and services into the global market Internet is the ladder. Starlink is how you build it from the sky. SpaceX already flies most of the mass that makes that network possible. "Because once you have the internet connection, you can learn anything for free on the internet. And you can also sell your goods and services to the global market."

Top of market for AI post-training and evals work, straight from the job ads: Redwood Research: $350k–$850k xAI: $180k–$600k Mercor: $220k–$600k OpenAI: $295k–$555k Perplexity: $220k–$485k Thinking Machines: $350k–$475k Character AI: $275k–$400k Median across all 214 published bands: $210k–$325k. Two thirds of listings publish nothing at all.

NEW: 📊 #Bitcoin# is moving "up the size ladder." Since June 30, entities holding 1k-10K BTC shed 50.5K BTC, while those with >100k BTC (custodians/ETFs) absorbed 59.1K BTC, per Coinglass. Recent gains of 31.5K $BTC in the custody band match the scale of recent ETF creations.

Bencana dahsyat banjir bandang Nepal 26/8/2026. Seluruh wilayah perbatasan Nepal-Tibet China luluh lantak, ratusan orang hilang termasuk para wisatawan. ---- 27 Agustus Gedung DPR Malam RUU Perampasan Aset