Nacho Berdinas

building a platform for vibing agents. CTO @thinklazarus || Professor @UnivAustral || 🇦🇷

[Sam Altman @sama]

Good new first: Sol is a smart, efficient, and a significant step forward. It is the same price as GPT-5.5. Also launching in the GPT-5.6 family is Terra, with 5.5-level performance at half the price.

Bad news: at the request of the US government, it is launching today in limited preview instead of the open access launch we were planning on. We are working with the government to get to general availability as fast as we can.

I think it is quite reasonable to roll out models--especially as they reach significant new levels of capability--in this way. It fits with our long-held strategy of iterative deployment. But this isn't quite the process that we think is optimal.

Now we will with the government to attempt to get to a transparent, reliable process for early access, and to ensure that as long as our safeguards work as intended we can release widely. We want to be a reliable, dependable partner that works with all stakeholders, and we also want to live by our mission of benefiting all of humanity. I believe the government shares most of our goals, and that they are overall doing a good job in a very difficult situation.

We will work as quickly as we can to get this model in your hands and we hope you will love it.

[Nacho Berdinas @ignacioberdinas]

No puede ser que OpenAI le haya puesto a sus nuevos modelos TERRA y LUNA. 🤣🤣

[Nacho Berdinas @ignacioberdinas]

How much longer until $TSLA and $SPCX merge in an all-stock deal? Tick tock

[SpaceX @SpaceX]

SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.

For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.

We look forward to working closely with the Cursor team to advance our frontier AI capabilities

[Nacho Berdinas @ignacioberdinas]

Most of today's token price is scarcity rent: GPU margins, memory premiums, datacenter panic-bids. Stacked through the whole supply chain. Rents like that always compress when supply catches up, and they compress at every layer at once.
Tokens get cheap. Demand floods back. The system rebalances itself.
We'll look back at 2026 token rationing the way we look back at rationing bandwidth in 1998.

[Citrini @citrini]

I think we’ve reached the point where normal people can’t really determine whether new models are better than previous ones. Like Fable doesn’t seem that much better to me, but every 150 IQ person I know is like “wow the singularity came sooner than I thought”.

[Nacho Berdinas @ignacioberdinas]

@gptcrosa Como evaluas los últimos releases? Tenés un backlog de issues/prompts que sabes que el Opus falla y retesteas en Fable? Cada vez más me cuesta más formar una opinión sobre el progreso. (Que coincide con la línea de que terminamos todos c**idos)

[Aaron Levie @levie]

If you read this and don’t understand why it’s happening it’s an opportunity to reset your understanding of how the real world works.

The real world will need a ton of help actually getting agents going in the enterprise. Companies have legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups.

This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology.

It’s also why the FDE model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows.

The people aren’t going away. Far from it.

[Latinometrics @LatamData]

BRAZIL | Brazil and Argentina now make up over 20% of Starlink's 10M subscribers, with Argentina's user base growing 159% in Q1

(Valor Econômico)

[Nacho Berdinas @ignacioberdinas]

Can't blame them. I'd be doing the same, but surely they're putting their vagueposting crown before a release.🤣

[Adam.GPT @TheRealAdamG]

https://t.co/4gCu71Bg1c

I think that big bet on reasoning and test-time compute is going to pay off

[Nacho Berdinas @ignacioberdinas]

They released this cyber-finetuned version partly to counter the narrative that “you can’t release next-gen models openly because they’re too dangerous,” which Anthropic has been pushing, and to help clear the path for the next-generation general-use GPT.

Both Anthropic and OpenAI sent out deprecation notices for older models this week, so clear your schedule for a fun next few days of benchmarking new models.

[OpenAI @OpenAI]

We’re expanding Trusted Access for Cyber with additional tiers for authenticated cybersecurity defenders.

Customers in the highest tiers can request access to GPT-5.4-Cyber, a version of GPT-5.4 fine-tuned for cybersecurity use cases, enabling more advanced defensive workflows.
https://t.co/RMMXQklFar

[sankalp @dejavucoder]

engineers into designing data intensive applications trying to escape the permanent underclass by staying ahead of claude and codex in a few niche areas

[Nacho Berdinas @ignacioberdinas]

OpenAI preparing their move

[OpenAI Developers @OpenAIDevs]

We’re retiring older models in Codex when you sign in to Codex with your ChatGPT account on April 14:

• gpt-5.2-codex
• gpt-5.1-codex-mini
• gpt-5.1-codex-max
• gpt-5.1-codex
• gpt-5.1
• gpt-5

[Nacho Berdinas @ignacioberdinas]

The closed-preview of Mythos is probably just a play to block OpenAI from making Spud generally available

[Nacho Berdinas @ignacioberdinas]

@adisingh we are @thinklazarus Claude Code + enterprise level guardrails

[Nacho Berdinas @ignacioberdinas]

So... salesforce just got reduced to an opinionated database schema?

[Marc Benioff @Benioff]

New: Slack CRM.
AI on top, salesforce underneath.
One pane of glass. 🤯

[Nacho Berdinas @ignacioberdinas]

If Anthropic is being labeled a national security risk and Anthropic owns Bun, what does that mean for downstream infrastructure?

Does the DOW supply chain now need to audit whether tools like Supabase Edge Functions (running on Bun) are compliant?

[Nacho Berdinas @ignacioberdinas]

anyone else experiencing extreme input lag in claude code as context gets full? Like waiting a couple of second for something you prompted to show up?

[Nacho Berdinas @ignacioberdinas]

We still haven’t seen the real power of 1GW-scale AI training on Blackwell.
That capacity is only now coming online.
And NVIDIA’s already teasing ~4× with Rubin.

Yeah… the future’s gonna be wild.

[Amir Salihefendić @amix3k]

Opus 4.5 is incredibly impressive, but it's still trained and served in the previous compute paradigm.

In 2026:
- 1GW-class AI data centers start coming online from most frontier labs
- Frontier models trained end-to-end on Blackwell/GB200 start landing

On Blackwell, NVIDIA reports ~3.2x faster training vs Hopper and up to 30x real-time inference for trillion-parameter LLMs.

Worth keeping in mind as you plan for 2026. It's going to be wild! 🤖🚀

[Nacho Berdinas @ignacioberdinas]

@gptcrosa Y ni hablar del futuro a mediano plazo: truquitos como pedirle a otro CC que critique lo que hace el primero le mejoran la performance. Con los LPU de Groq/Cerebras acelerando la inferencia x40 + la evolución de los harness para automatizar los trucos… va a ser una locura.