Marco

Human talks about computers and reliability, Entdecke das Leben.

[Curious Minds @CuriousMindsHub]

Use your phone less.
Use your phone less.
Use your phone less.
Use your phone less.

Because attention is not free.

[Jakob Nikolas Kather @jnkath]

We will soon be hiring postdocs, engineers and researchers (on site in Heidelberg, DE) in:
- Biomedical AI (multimodal foundation models, biomarkers, agents)
- Robotics (lab automation, physical action surfaces for agents)
- AI social sciences (multi-agent systems, agent "civilizations")
- Deploying AI in a large hospital system
More info at https://t.co/q4rgFGRl7E and https://t.co/ggh9zO5fir
If you are interested in learning more, reach out to [email protected]

[Fatih Arslan @fatih]

Always care about the work, not just yours, but also what others are doing. Think of it as a house you all live in. If one room catches fire, you don’t ignore it because “it’s not my room.”

The best engineers I know are always there when things are on fire, even if it’s not their area or they don’t know how to help yet. They show up and figure out what they can do.

The “it’s not my responsibility” mindset is bad. Also the “it’s time to log off” mindset when the house is on fire. If your own house was burning, would you sit down and watch it? Own the work.

[Ahmed Hossam @Ahmedhossamdev]

Please please don't use AI blindly. I want to feel like a human is writing to me. Please please don't say I'm always right in a PR review. Please please read what the AI produced.

please
please
please
please

don't disappoint me.

[Neet @neet_sol]

Welcome to the new world

[Bilgin Ibryam @bibryam]

👏The future of software development - @thorstenball

[voxium @v0xium]

I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

[ويليام شكسبير @Wam_Shakespeare]

كن قوياً حتى لا يشفق عليك أحد
فما يؤلمك اليوم يجعلك أقوى غداً ."

[Jaana Dogan ヤナ ドガン @rakyll]

🥳 Excited to start revealing what we've been working on in the last few months. First, we decided to reinvent Kubernetes for agentic workloads with statefulness and fast resumption. Secondly, we are building an agentic orchestrator that will be Google's open agentic orchestrator and runtime. https://t.co/XCrdAVvDAe

[Thariq @trq212]

We're adding support for AGENTS.md to Claude Code.

Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md.

You can toggle this behavior in /config.

[BAT @mohamed_alaa_44]

الكلام المعرص دا عمره ما يطلع من حد جرب الفقر اللي بجد.

[𝑻𝒊𝒚𝒂🎀 @tiya_decodes]

IT sector is cooked...

[Neuralink @neuralink]

A beautiful surprise

[Mark Zuckerberg @finkd]

Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad

Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.

The reality is:

- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.

There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.

- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.

Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.

- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.

- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.

I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.

[Ahmed @AhmedGhazey]

اى حد هيوقف سباق ال ai لأى سبب اخلاقى او غير اخلاقى هيبقى خد خازوق مغرى!

امريكا مش بتوقف حاجة و مش هتوقف حتى لو قالوا كدة الف مرة

ال models الصينية هى اللى قاتلة تسعير ال models الأمريكية و لو الصين وقفت امريكا مش هترحم حد!

دى النسخة الجديدة من الحرب الباردة reinforcing loop

[Anthropic @AnthropicAI]

We're publishing our most detailed threat intelligence report to date.

It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.

We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.

These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.

We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.

Read the report: https://t.co/0EJUnYEgfz

[Havana Ooh NaNa! 💃🏻 @onlyone_monica]

التقرير مرعب.. وبأسامي الدول كمان!!

[Nina Schick @NinaDSchick]

The key takeaway seems to be: become an electrician, nurse or plumber.

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.