TaoTeCoin | BackTheBunny

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[TaoTeCoin | BackTheBunny @TaoTeCoin]

@HopeExistential @PeterDiamandis @xprize

[Existential Hope @HopeExistential]

It’s 2035, and AI has gone well. What could a normal day in your life look like?

Most popular AI futures are dystopias. Almost no one takes the time to seriously and vividly imagine a future that's actually worth building.

So we made a short film following one day in the life of an AI auditor in 2035, in a world radically transformed by AI for the better.

Digital twins model how people’s unique physiologies respond to illness. Sensors stop pandemics before they start. AI helps governments actually listen to citizens by synthesizing vast amounts of data into actionable policy suggestions, but humans stay in control and make the final call.

If this resonates, please share to spread the word about positive AI futures!

[MTS @MTSlive]

SITUATION EXPLAINED: What comes after GLP-1s as the next human enhancement drug?

We asked @maxmarchione, founder of @superpower

"GLP-1s, when developed to treat diabetes and obesity, are largely used to make people look better, to maybe increase energy levels. They're used for human enhancement."

"I think the next big human enhancement drug is going to be something that allows you to sleep less but feel the same and live the same."

"Eli Lilly has actually made a bet on this. They acquired a small molecule that targets narcolepsy... the reason they're paying $6 billion for this is not because it's a narcolepsy drug. It's because they think this same drug could allow normal people, average people, everyone to sleep four hours a night, five hours a night, and feel like they've slept eight."

"This drug is an orexin agonist... higher orexin levels are what we see in people who have the short sleeper phenotype."

[Aakash Gupta @aakashgupta]

She literally explained how her $100M AI startup runs completely out of an operating system in Claude Code:

2:04 - The Company OS GitHub structure
5:40 - The 1% vs 99% problem
9:00 - 3 steps to build your own Company OS
12:30 - Slack automation demo: feature request triage
14:31 - Playbook to agent pipeline
22:51 - Company culture needed
29:02 - PMs shipping front-end + back-end
29:44 - The captain model explained
32:37 - Continuation to captain model
37:38 - Two-track product reviews
50:08 - The AI Ops team and the Sasha model
57:59 - The screen-share interview
59:01 - The 4 levels of AI maturity

[Nous Research @NousResearch]

Sometimes you just need a dose of fresh inspiration but your agent doesn't get the vibe.

The creative-ideation skill analyzes your prompt and routes it through one of 22 creative methodologies from artists and thinkers to find the perfect balance of feasibility and creativity.

[Marc Andreessen 🇺🇸 @pmarca]

It’s time to accelerate science and technology!

[TaoTeCoin | BackTheBunny @TaoTeCoin]

Good take

[Arvind Narayanan @random_walker]

The new Claude Tag feature seems extremely useful, but at the same time, a dangerous bargain for enterprises because of the pricing model and the risk of lock-in. The four big changes together mean that you interact with Claude as a coworker instead of a tool (the same Claude instance for everyone instead of each worker; soaks up tacit knowledge without your telling it; acts on its own; and does so asynchronously). All clearly very useful, but completely flips the interaction paradigm. https://t.co/iWpePXGiL8

Let’s talk about lock-in. As far as I can tell, Claude maintains its own memories in this new way of working; the human team members can’t see and edit them. (System administrators presumably can, but they have other things to do!) Tacit knowledge thus goes from a weakness of AI agents to a major strength — it seems inevitable that as teams and orgs start to use Claude this way, it will become the main queryable repository of all their tacit knowledge, creating dependence and stickiness. Effectively, Claude is a coworker that you can’t fire without *every* team losing workflows and know-how.

By the way, it also seems to introduce a new and pervasive security risk, since Claude can be integrated into private channels as well, and can be given access to repositories and tools even if the users in that channel don’t have access to them. Anthropic has introduced an interesting but complicated access control model to handle all this: https://t.co/l4oB5SVk9r But I’m not sure I trust people to understand and implement it correctly, nor the LLMs to be sufficiently robust against threats like prompt injection.

What about pricing? Claude is not like regular coworkers, because it bills for every token it produces. And it can do an unbounded amount of work, asynchronously and without being asked. In the current model, when AI is a tool, enterprises set per-user budgets, which creates accountability and keeps cost somewhat manageable. When everyone shares a Claude, it will be much harder to track and control spending. Of course you can set a token budget, but turning off Claude for the month for everybody when the budget is hit risks bringing work to a screeching halt.

When AI companies talk about the next stage of AI being a “drop-in replacement” for human workers, it should be understood not as a technical innovation but a business model innovation, enabling more value capture and rent extraction. AI companies are no longer competing for a share of enterprises’ IT budgets but rather a share of their entire labor spend, which is orders of magnitude bigger. Claude Tag is a big milestone in this evolution. This shift is very good for AI companies, but it is unclear if it is good for their customers.

[TaoTeCoin | BackTheBunny @TaoTeCoin]

@AuspexLabs @IterIntellectus Great band name though

[Nous Research @NousResearch]

Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill

[Luke The Dev @iamlukethedev]

I’m blown away by how easy this was.

I asked Hermes to install Computer Use, control my machine remotely, take a screenshot, and send it back to me.

And it just worked.

No setup nightmare.
No fighting configs.
No stealing my cursor.

Just my agent using the computer while I’m away.

[TaoTeCoin | BackTheBunny @TaoTeCoin]

@itsolelehmann Planning to move back to Germany after 9 years abroad in the US - there’s no way I’m not setting up ACs, absolutely absurd lol

[Ole Lehmann @itsolelehmann]

i'm obsessed with AI DIY projects

my favorite one right now is this guy who built an AI system that listens for birds outside his apartment, figures out what species they are, and paints them on his wall.

here's how the whole thing works:

1. a cheap usb mic on his balcony listens for birdsong 24/7

2. BirdNET, Cornell's AI model trained on 6,000+ species, names each bird species from the sound alone (no camera needed)

3. every time it hears one, Gemini 2.5 Flash Image paints that exact bird in the style of an Edo-period japanese woodblock print

4. the new painting drops into a live collage of everything that's been singing outside in the last 24 hours

5. and it all shows up on a framed e-ink display on his wall that reads "heard today" like a little museum placard for his neighborhood

knowing which birds visit you used to take a field guide, a trained ear, plus years of patient practice.

teddy just glances at the frame on his wall and sees the cardinal came back this morning

honestly i'm highly tempted to build one myself haha

[Chubby♨️ @kimmonismus]

Seedance 2.5 released. It looks insane! Still trying to figure out where Veo 4 is and why nothing comes close to Seedance

[Dhilip Subramanian @sdhilip]

I've dictated almost everything for 6 months with Wispr Flow. 44,414 words, 161 wpm, top 0.1% of users.

Last week I tried FluidVoice. Open source, runs local on my Mac, corrects as I speak with no API key, and handles slang better than I expected.

Cancelled my paid plan. If you're on a Mac, this one's for you: https://t.co/tCij9UroGs

@ALTIC_DEV

[Siddhartha Saxena @siddsax]

BTS of the day Sam Altman has been waiting his whole life

[Haseeb ＞|＜ @hosseeb]

New Ethereum org just dropped.

While the EF is shrinking its mandate and more focused on protecting Ethereum's core properties, a group of EF builders have spun out to create a second org.

Its mandate is simple: accelerate Ethereum. Increase adoption. Protect DeFi. Solve the biggest problems and make ETH the currency of the internet.

(Yes, this is the number go up org.)

Proud to be supporting ETH Labs.🫡

Disclosure: Dragonfly holds $ETH, but I'm supporting ETH Labs personally.

[OpenAI @OpenAI]

We’re expanding OpenAI Daybreak to help democratize patching vulnerable software at machine speed:

- Codex Security plugin: find, validate, and fix vulnerabilities right inside Codex

- The full version of GPT-5.5-Cyber model: a great model for trusted defenders

- Cyber Partner Program: powering products built on top of our best cyber capabilities for leading security companies to secure the world's software

- Patch the Planet: working with maintainers to secure critical open source projects

https://t.co/hyIi6gQmkm

[Ethlabs @ethlabs_org]

Announcing Ethlabs: a non-profit R&D lab for Ethereum and ETH

Our mission is to make Ethereum the settlement layer of the global economy.

The internet became global because shared protocols created a common language between networks. Private systems remained useful, but bounded. Finance is approaching a similar moment. As value, assets, and markets become digital, the world needs shared settlement infrastructure.

Ethereum is uniquely positioned to become that shared base layer, the neutral foundation on which users, institutions, and agents can transact without intermediation.

What we believe:

• We believe credible neutrality matters. Ten years of uptime and the lowest counterparty risk. Ground that cannot be pulled away by any one country, institution, company, or person.

• We believe ETH matters. The most valuable, programmable store of value. A decade of broad distribution, deep liquidity in onchain markets, and maximally trustless asset on Ethereum.

• We believe DeFi matters. Markets, liquidity, credit, exchange, and coordination, open to anyone.

• We believe adoption matters. Principles do not change the world until people benefit from them.

We sit between two worlds: real usage from the builders at the frontier, and the protocol that has to support it. We work with users, applications, wallets, L2s, infrastructure teams, institutions, ETH holders, core devs and researchers, then turn what they actually need into protocol work, shared standards, infrastructure, and shipped products.

Ethlabs is independent but Ethereum is a shared project. We are one node in a much larger network of stewards. This is the multi-node future.

We have spent the better part of the past decade contributing to Ethereum core research and development.

We are opinionated and transparent. We move with urgency, learn in public, and course-correct when we’re wrong.

We are building a lean, talent-dense team for people who want to do the most important work of their careers: [email protected]

[Keone Hon @keoneHD]

I don't fear AGI. When automation gets better at executing, there is always a higher-level thing for humans to manage, direct, and benefit from.

There is no shortage of hard problems, and when we get better at solving the current ones, we realize there is a higher level of problems we couldn't even focus on before.

Or: if you really believe AI will be capable of solving all of the hard problems, then have it work on the hard problem of "figure out what relationship there should be between humans and AI which preserves human control, continues to give humans fulfilling lives, and ensures 100% probability of continuing the human-centric timeline".

[Beff (e/acc) @beffjezos]

Mythos-class model available rn in Codex, thanks to @hardmaru & friends!