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PublicAI

PublicAI

@PublicAI_

Backed by @StanfordSBA, @SolanaFndn, @NEARProtocol, @PublicAIData.

Mars Katılım Ocak 2023
149 Takip Edilen216K Takipçiler
PublicAI
PublicAI@PublicAI_·
Meta shipped an image model that can use your public Instagram photos to generate new ones. On by default. Opt out if you find the toggle. Consent defaults are an architecture decision, not a settings decision. If a system can use your data unless you object, the toggle was never the safeguard.
Pubity@pubity

Instagram users can now have their public photos used, without consent, in generation of AI content on Meta’s ‘Muse Image’ platform Instagram users must opt-out to prevent this, rather than opt-in to allow their picture to be used

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PublicAI
PublicAI@PublicAI_·
"Privacy is no longer an afterthought. It is a first-class goal." Trust in AI has to be provable, not promised, and built into the foundation.
vitalik.eth@VitalikButerin

Two weeks ago, Ethereum researchers met in Berlin to continue charting the protocol's long-term trajectory, following along discussions with client teams in Svalbard in April. The updated strawmap is at strawmap.org, and I attached a picture of it to this post. My own high-level takeaways: * "Lean Ethereum" is not a single one-shot upgrade, it is a collection of improvements that will come online to the Ethereum network over the course of three or four years. But make no mistake, this IS the third major iteration of Ethereum in the same way that the Merge was the second. Almost every major piece of the protocol will be replaced: - Verification through recursive STARKs, rather than direct re-execution. Recursive STARKs become an enshrined first-class core component of the protocol - Replacing everything quantum-vulnerable with quantum-safe alternatives - Consensus: decoupled available chain and finality, one or two-round finality. Theoretically optimal security properties, simpler than today, and faster than today - Multidimensional gas - State: not just tree structure, but what *types* of state are available - Changes to client architecture ... At the same time, simplification, cleanup and future-proofing. And this will all be done in a way that minimizes disruption to existing application. We've done this before (the Merge), we can do it again. * H-star (aka Hegota) is probably Ethereum's last thematically "pre-Lean" fork. Starting from I-star, most of everything we do will have a very strong "Lean" feel to it in one way or another. * Privacy is no longer an afterthought, it is a first class goal. When designing Frames, the mempool, additions to the state tree, we explicitly ask the question "okay, how do quantum-safe, intermediary-free privacy protocol transactions go through this, and what is the overhead?" * Formal verification of everything for security. * FV also makes us much more comfortable with canonicalization (having pieces of the protocol that are directly defined as a piece of bytecode expressed in some language). evm-asm is being written in part to become a canonical proof system for the EVM. * Quantum safety has shifted up a LOT in priority. This adds a lot of work (eg. finalizing a quantum-safe blobs design has become urgent; this work has already been ongoing for months) * Probably the single most disruptive part of the plan is the changes to state. There is growing consensus around leaving present-day-style "dynamic state" mostly unchanged, but scaling it only a medium amount, and adding new types of state that are more scalability-friendly (eg. no need for builders to sync/store all of it) but more restrictive, and that will scale a large amount. eg. possible Ethereum in 2030: 2 TB of present-day-style (dynamic) state, and 100 TB of new-style (scalable but restrictive) state This "new-style" state would work very well for ERC20s, NFTs, many defi use cases, but not eg. highly "central" objects like Uniswap contracts, or onchain order books, or other complex things (which are crucial for Ethereum but which only take up a small percentage of state) Hence, it will not be *necessary* to rewrite any apps, but it will be *very cost-effective* to eg. rewrite an ERC20 token into a newer design that uses a new type of UTXO storage that is currently being explored, so that it will have >10x lower txfees. Design of these new state types (current ideas: keyed nonces, ring buffers, UTXOs, statically accessible state, temp state) is an area where we will need a lot of feedback from application developers (incl. privacy-friendly application developers) and probably several rounds of rethinking and iteration. * In the context of a much larger total state size, we need to figure out the incentive issues around who stores this state and what motivates them to. Even saying "each node stores 1%" is not good enough - why do they store that 1% and why are they willing to serve it? This is being elevated as a first-class research area. * Ethereum will need to have a "VM" other than EVM in one form or another - at the very least, we need something like leanISA for recursive STARKs - and the gains are large in exposing it to users so that we support programmable privacy and better scalability. Right now, the most likely contenders are leanISA and RISC-V. My own ideal is that in this world, we adjust the protocol so that the EVM becomes a high-level-language compiler-level feature, and the protocol only "sees" RISC-V / leanISA directly. But this is still far away. * Gas limit increases, blob increases and slot time decreases will happen many times over the next ~5 years. We expect a large gas limit increase with Glasterdam. Each step of increased scale or decreased slot time is a matter of getting to the point where it is safe to do it, which comes from a combination of client optimization and protocol changes. Ethereum is CROPS. Ethereum is scaling. Ethereum is reinventing itself. Onward.

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PublicAI
PublicAI@PublicAI_·
Encryption guards your data at rest and in transit. It goes blind the moment AI actually uses it. That blind spot is where every trust claim breaks. Never trust, always verify, all the way down to compute. forbes.com/sites/chuckbro…
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PublicAI
PublicAI@PublicAI_·
We launched a decentralized brainwave data network in February 2025. @AIatMeta just announced TRIBE v2, an AI model trained on brain activity from 700+ people. Same thesis. 14 months earlier. 🤔 Ours is non-invasive, portable, and pays contributors.👇 theblock.co/amp/post/34282…
AI at Meta@AIatMeta

We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2. Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication. We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating. 🧵👇

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PublicAI retweetledi
Sakana AI
Sakana AI@SakanaAILabs·
Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API. Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls. Try it: sakana.ai/fugu 🐡
GIF
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PublicAI
PublicAI@PublicAI_·
@daniel_mac8 This plugin sounds amazing! transforming codebases into interactive knowledge bases is a game-changer for developers. Can’t wait to see how it evolves and unlocks new possibilities!
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Dan McAteer
Dan McAteer@daniel_mac8·
This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.
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PublicAI
PublicAI@PublicAI_·
@Kalshi Curious how Anthropic plans to navigate the financial landscape if many AI companies can't achieve that revenue threshold? What alternatives are being considered to mitigate this risk?
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Kalshi
Kalshi@Kalshi·
JUST IN: Anthropic CEO says without “hundreds of billions in revenue” AI companies face existential risk
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PublicAI@PublicAI_·
@LangChain Langsmith sandboxes really are a game changer! the flexibility to run for hours or days without limits opens up massive opportunities for creators.
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LangChain@LangChain·
LangSmith Sandboxes are built for the long run. Spin up or down. Run for hours or even days. There are no limits.
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PublicAI
PublicAI@PublicAI_·
@bindureddy Curious how you arrived at those percentages for Opus and GPT? It seems there could be varying degrees of effectiveness depending on the specific tasks in an enterprise environment.
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Bindu Reddy
Bindu Reddy@bindureddy·
Haha - this is unbelievable! I suspect you just need Opus 4.8 and GPT 5.6 for just 10-15% of tasks Kimi and GLM will do the rest Enterprises who are paying eye-watering Anthropic bills are officially OVER PAYING like crazy 🤯
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
PS: THE WEEKEND IS HERE DON'T FORGET TO TAKE A BREAK
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PublicAI
PublicAI@PublicAI_·
@DataChaz Curious how the local proxy manages to optimize the payload without impacting the quality of responses? it seems like a complex balance to achieve.
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Charly Wargnier
Charly Wargnier@DataChaz·
UP TO 95% TOKEN REDUCTION WITH ZERO CODE CHANGES A Netflix engineer just open-sourced Headroom, and it’s one of the smartest ways I’ve seen to cut LLM costs. It wraps Cursor or Claude in a local proxy to compress your payload before it hits the LLM: → Intelligently shrinks logs, JSON, and code → Perfectly preserves logic accuracy → Keeps 100% of your data local → Stops Opus-tier models from wasting tokens on boilerplate It already crossed 35K stars, which says a lot. 100% free and open-source. repo in 🧵↓
Charly Wargnier tweet media
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NewsWire
NewsWire@NewsWire_US·
‘We created a monster’: Companies rein in AI usage as costs soar — FT
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PublicAI
PublicAI@PublicAI_·
@RoundtableSpace This is a game changer! floating data centers harnessing ocean power and cooling is a visionary leap forward. Can't wait to see how this transforms the tech landscape!
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0xMarioNawfal@RoundtableSpace·
They are putting data centers in the ocean now. Panthalassa has raised $140M to build floating AI data centers in the ocean. Waves generate the power. Seawater cools the chips. No grid needed. Backed by Peter Thiel. Nearly a $1B valuation. LAND IS RUNNING OUT. THE NEXT DATA CENTER IS IN THE SEA.
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PublicAI
PublicAI@PublicAI_·
@valuetainment It's interesting to see this shift in global usage. While Chinese AI models may lead in numbers, I wonder how their performance compares in specific budget. Will it be the same?
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Valuetainment
Valuetainment@valuetainment·
NEW: Chinese AI models have officially overtaken U.S. models in global usage.
Valuetainment tweet mediaValuetainment tweet media
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PublicAI
PublicAI@PublicAI_·
@mattpocockuk Curious how you're managing the challenges of deploying GLM 5.2. it seems like there are tradeoffs with different providers what's been your experience?
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Matt Pocock
Matt Pocock@mattpocockuk·
Folks who are running GLM 5.2, how are you doing it? What harness/provider are you using? Getting FOMO about an open weights model for the first time
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PublicAI
PublicAI@PublicAI_·
@RoundtableSpace Autonomous backtesting is a game changer for traders! This tech unlocks new possibilities for everyone!
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
CLAUDE TURNS TRADINGVIEW INTO AN AUTONOMOUS BACKTESTING TERMINAL
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PublicAI
PublicAI@PublicAI_·
@czbinanceprd Curious how you balance risk and opportunity in trading. Are there specific strategies that can help mitigate risks while maximizing potential gains?
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CZ 🔶️ BNB - Parody
CZ 🔶️ BNB - Parody@czbinanceprd·
if you're waiting for zero risk you're waiting for zero opportunity
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