akafuda@全財産睡眠

CEO of being unemployed. vibe researcher. Ronin vibe. Intern@Incerto Inc

si, crypto, econ, med

[akafuda@全財産睡眠 @uoooobtc]

https://t.co/YdY9i4J2pM

[サトシ＠医療DX💊メディアの人 @yun__yun]

Incerto合同会社が、患者情報を院外に出さずに生成AIを使う「院内ローカルAI基盤」の提供を始めたという発表。

▼ 院内に専用ハードウェアを設置してローカルLLMを動かし、導入前のセキュリティ点検から導入後の更新・保守までを同社が担う
▼ 音声カルテAI、算定AIチャット、医療文書の作成支援、医療情報の検索チャットの4つのソフトウェアは無料で提供する。導入は約4〜6か月が目安
▼ ハードウェア購入と導入・構築・保守の費用は規模や用途に応じた個別見積もり。対象は中小病院、診療所、医療法人グループなど

https://t.co/SiYB2iVZoV

[akafuda@全財産睡眠 @uoooobtc]

ローカルSI

[ren @ren_Nevermind]

https://t.co/PDk7tsjOtb

[ren @ren_Nevermind]

https://t.co/PDk7tsjOtb

[PR TIMESスタートアップ @PRTIMES_STUP]

医療機関の機密情報を守りながら生成AIを活用する。Incerto、医療機関のセキュリティ強化とAI導入を一体で進める「... https://t.co/2iVc0oyeVI

[PR TIMESビジネス @PRTIMES_BIZ]

医療機関の機密情報を守りながら生成AIを活用する。Incerto、医療機関のセキュリティ強化とAI導入を一体で進める「... https://t.co/4IY6ScN0p3

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2026 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel to Robert E. Hall and Michael Woodford “for microeconomic foundations of macroeconomic stabilisation.”

#NobelPrize

[akafuda@全財産睡眠 @uoooobtc]

🥺

[vitalik.eth @VitalikButerin]

I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography.

The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices.

(and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation)

So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math.

The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be?

This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-.

For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption.

And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10.

To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety.

And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all.

Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems.

For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size).

Concrete TLDR, my own personal views:

* Hash-based > lattice-based, in those situations where hash-based is possible at all
* For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ...
* For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism.
* If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**.
* For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money"
https://t.co/oVjwZog2lL

[akafuda@全財産睡眠 @uoooobtc]

meltui

[OpenAI @OpenAI]

GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone.

Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.

[akafuda@全財産睡眠 @uoooobtc]

🔥

[OpenAI @OpenAI]

We’re releasing a broad range of new mathematical results produced by an internal frontier model.

We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.

https://t.co/7N6TPlft1P

[akafuda@全財産睡眠 @uoooobtc]

antiflagile

[神谷 明采 @AsaKamiya]

私は、AGI・ASIが怖いです。

今まで価値とされてきた「頭の良さ」は、真っ先にAIに取って代わられます。
東大生は特にやばいです。
残るのは「やりたいこと」だけだと思います。

そんな世界で反脆弱に生きていくために、このプロジェクトを始めました。

[akafuda@全財産睡眠 @uoooobtc]

SI

[Elon Musk @elonmusk]

No more AI
SI
It’s better

[Alphaist @0xAlphaist]

日本のオンチェーン金融を牽引するフラッグシッププロジェクトになると確信しています。構想の先進性、設計の緻密さ、専門性を結集した協業体制、あらゆる点において、その叡智が結集したプロジェクトです。この挑戦に参加できることを、心から光栄に思います。

[ผงพิกซี่ของน้องโฟ้ด✨ @thecutietera]

แต่คนไทยก็ยังหาจังหวะตลกได้ตลอดเลยว่ะ ระบบขนส่งปรับตัวเร็วเกิน แล้วพายเรือใส่หมวกกันน็อคทำไม😭

[akafuda@全財産睡眠 @uoooobtc]

@henlojseam owarida

[Binance @binance]

Binance will list @HyperliquidX (HYPE) with the Seed Tag applied.

More info → https://t.co/FyHFXrV2W0

[akafuda@全財産睡眠 @uoooobtc]

♪───Ｏ（≧∇≦）Ｏ────♪

[Claude @claudeai]

Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.

It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.

[akafuda@全財産睡眠 @uoooobtc]

🔥

[X @X]

timeline. ticker. trade.

[akafuda@全財産睡眠 @uoooobtc]

@ren_Nevermind 某国の策略を回避すべく東京を離脱しGDPにも貢献した

[akafuda@全財産睡眠 @uoooobtc]

@ren_Nevermind gshortsleep