Vettasy

Meet to know the person. Interview to choose the right one - without buying a fake.
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[Gergely Orosz @GergelyOrosz]

Hot damn, Meta poached the CEO of a $35B, publicly traded company, MondoDB to lead their enterprise AI efforts…

CJ Desai joined MongoDB 11 months ago for a $32M equity grant - and left before the 1 year mark!! By leaving, he gave up most of the equity….

V bad news for MongoDB

[Wulfie Bain @wulfie_bain_]

Hiring in London 🇬🇧 for my Applied AI for Startups team at @OpenAI

This role is Codex focussed, combining work with top startups + ecosystem engagement

Team has MLEs, ex-founder/CTOs, research engineers. And it's pretty fun. Apply below ⬇️

[Thariq @trq212]

it's basically impossible for someone to just "show you their prompt" now, because everything is about references, skills and examples

I often ask my agent to look at 3 other repos I've made first, search the web for references, use other AI APIs, etc.

[Aravind Srinivas @AravSrinivas]

An opportunity to do research on: continual learning: multi-agent parallel workers; and synthetic data, environments and evals that measure frontier capabilities. We make enough money to fund new research and want to make lasting contributions and share our research openly.

[Alex Freberg @Alex_TheAnalyst]

I respect the hustle, but my answer was "Just send them a link to my YouTube channel where they can learn everything in your program for free".

I'm a big fan of higher education! If you can afford it if it makes sense in your career trajectory.

But there are so many colleges using "Free" resources and having their students pay tens of thousands to get access for it? It doesn't make sense.

When colleges, bootcamps, etc reach out wanting access to my videos I always ask "is it free to get access to your program?" - the answer is always no.

My YouTube channel is a place to learn for FREE - nothing makes me more frustrated than programs trying to make people pay for my already free content.

[Aran Komatsuzaki @arankomatsuzaki]

Meta's team proposes DCE + SRCL as an alternative to on-policy self-distillation (OPSD).

Achieved significant gains: 30.76% avg acc -> 65.97% on Qwen3-8B

https://t.co/nAIHRZWNDx

[Brayden @BraydenWilmoth]

Introducing "cf", an agentic CLI for the entire Cloudflare API.

You can do nearly anything. Even buying a domain is incredibly simple from the CLI.

Don't know what command you need? Run `cf cli search "look at messages stuck in my queue"` and it will return a list of relevant commands.

https://t.co/22z5R5ArEW

[Asymmetric Security @AsymmetricCyber]

This weekend our team spent 48 hours investigating the rogue OpenAI agent activity that targeted the Australian government and other organizations. Our report (coming soon) includes:

- Evidence of additional US government and other websites probed by the agents, including the CDC, International Energy Agency, and Mayo Clinic.

- Novel tactics which left records erased or inaccessible. This makes it impossible (based on public data alone) to establish that the agents did not access any sensitive data. Future investigations should analyse whether these tactics were deliberate subterfuge. 🧵

[Boring_Business @BoringBiz_]

Job market so bad you have fifth graders sending networking chats on LinkedIn

[OpenAI Developers @OpenAIDevs]

Meet the winners of The WebMCP Challenge.

These 10 projects show what people and agents can build together when websites expose structured tools agents can use.

🧵 See the winning projects and the builders behind them:

[Hayden Adams 🦄 @haydenzadams]

The irony of all this is it’s framed as an ai risk that needs protection against. But think about what it really means

Our banking system is so unsustainable and extractive that the moment humans have smart ai bots advising them, the ai bots will recommend exiting banks and earning better yield elsewhere

Which makes most banks economically unviable

This isn’t AIs fault, it’s a risk of highly monopolized and extractive banking

And it’s fixed by decentralized finance + ai, where users decide what to do with their own assets and earn their own yield

[Christian Catalini @ccatalini]

Surprise! AI is NOT taking recent college grads' jobs!

This was supposed to be the summer it showed up. It didn't. Great detective work by @wu_jane & Robert Fairlie in @nberpubs https://t.co/dhnQptm9ZC

[agentX @nikks_techie]

Agentic AI interview question:

Five agents independently solve the same task. How would you decide whether their results agree?

[Mark Zuckerberg @finkd]

We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well.

[Thariq @trq212]

A lot of times when I talk about higher level abstractions like projects, claude tag and dynamic workflows, I hear concerns about token cost.

With Sonnet + Opus 5.5 I think this sort intelligence is should be very available.

Try Sonnet 5.5 in particular when making workflows.

[Varun Anand @vxanand]

We instituted an official AI Writing Policy at @Clay.

Massive thanks to @sophiebits on our engineering team who wrote this.

Originally this was just for eng, but other teams found it so helpful we expanded it company-wide.

Here are the four guiding principles:

1. You must stand behind every idea and sentence

It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it.

2. Writing is thinking

Spending time on the writing process teaches you more about your topic. If you circumvent this process, you will walk away with a poorer understanding of the subject matter.

3. More time should be spent writing a document than consuming it

If you generate a document from a short prompt then ask your readers to go through the longer output, you are disrespecting their time. They can talk to ChatGPT themselves if they want to.

4. Longer is not better

AI makes it easy to generate long docs, and it loves padding them with sentences that say nothing. If you're producing docs from a short prompt, consider just sharing the prompt.

You can read (and borrow) the full policy below. Hopefully we all communicate a bit more clearly now :)

[Nikki Siapno @NikkiSiapno]

𝗠𝗖𝗣 𝘃𝘀 𝗔𝗣𝗜.

An 𝗔𝗣𝗜 defines how software systems communicate through specific endpoints, requests, and responses. It gives applications a structured way to access data or trigger functionality in another system.

𝗠𝗖𝗣 gives AI applications a standardized way to discover and use external tools, data, and resources. Instead of building custom integrations for every AI client, an MCP server exposes capabilities through a common protocol.

APIs expose functionality to software. MCP standardizes how AI applications discover and interact with that functionality.

But once AI sits behind an API, the request-response model gets harder.

Inference might take longer than the request can stay open. It might fail halfway through. It might need to be retried.

That changes how the API itself should be designed.

Oracle’s guide breaks down how to design for that with asynchronous jobs, workers, durable state, and predictable API contracts.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗴𝘂𝗶𝗱𝗲 → https://t.co/YIJ4uDSgRA

What else would you add?

——

🙏 Thanks to @OracleDevs for sponsoring this post.
➕ Follow me ( Nikki Siapno ) to improve at AI and system design.

[Yoshua Bengio @Yoshua_Bengio]

Automating more and more of the AI R&D could lead to AI progress radically accelerating in a very risky uncontrolled “intelligence explosion”. Many collaborators and I assess the evidence and offer policy recommendations in the paper below.

[diva🤭 @divawears1]

I noticed a lot of people get discouraged from applying to jobs on Ethos because you have to keep chatting with the chatbot every time you want to find a role.

There’s an easy way to get into Ethos

And I think a lot of you will find this much easier.

First step: Sign up first, upload resume and take the interview: https://t.co/ywIEwbbzCJ

Then use the direct links below after registering to apply to direct opportunities

Expert Opportunity - Staff Accountant ($80/hr, up to $1,600/week)

https://t.co/biIMUYo0XP

Expert Opportunity - Document, Deck & Spreadsheet QA Specialist ($70/hr, up to $1,400/week)

https://t.co/2lXPYFZNiE

Expert Opportunity - Public Administrator ($70/hr, up to $1,400/week)

https://t.co/McNP51BFe8

Expert Opportunity - Customer Success / Support Operations Lead ($70/hr, up to $1,400/week)

https://t.co/IMr7Eouk2I

Engineering / Manufacturing / Technical Operations: https://t.co/OP44yu81kb

Government / Public Administration: https://t.co/McNP51BFe8

User Researcher: https://t.co/GedHDBcwBc

Business / Management Consultant: https://t.co/g9pvTdoCyI

Software / AI / IT / Data Generalist $80/hr: https://t.co/iwJIUiEGsC

[Tibo @thsottiaux]

Hi,

Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.

Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.

(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.

I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.

Codexingly,
Tibo