u/TorturedPoet30

New Claude app strings suggest Anthropic is preparing to put Fable 5 behind a separate usage-credit system billed outside existing plans, with credits added only after identity verification.

Anthropic previously said identity verification was unrelated to Fable (https://x.com/trq212/status/2068793885535694858) and limited to flagged accounts, yet the new verification language appeared alongside Fable 5 credit changes.

Source: https://x.com/M1Astra/status/2071792190221664294

Demis Hassabis says neuroscientists are already using AI video models to reconstruct what people are imagining, or even dreaming, from brain scans.

>

It seems that every time someone leaves Google DeepMind these days, it gets headlines. And yes, some of the departures have been notable like John Jumper.

But curious is this level of noise overblown? People leave big tech companies all the time. They start startups, they get poached, that's just... how the industry works. Google probably has thousands of AI researchers. A handful of departures even high-profile ones doesn't necessarily signal a sinking ship.

Interestingly, just yesterday Demis Hassabis was asked directly about this. He dismissed the idea that Google was losing its grip on leading AI talent, saying there's a lot of movement between all the top labs and that the space is "ferociously competitive." He added that Google still has its fair share of top talent. This was at Cannes Lions.

And look he's probably not wrong on the facts. But it's also hard to ignore that he's been giving the same polished, measured answer every time.

Personally I have low expectations for Gemini 3.5 pro while realizing they play a different game.

Sharing some tweets front today as an example.

https://x.com/josemorgado/status/2069134610076713013

Source: https://www.wsj.com/tech/ai/google-investing-in-backrooms-studio-a24-e7585ebe

No paywall: https://finance.yahoo.com/technology/ai/articles/google-invest-75-million-a24-145049110.html

Google is investing $75 million in A24, tied to their AI deal and not a capital raise.

Google DeepMind announced a research partnership with a focus on building new creative tools shaped by the artists who'll use them.

The timing isn't a coincidence: Demis Hassabis takes the stage at Cannes Lions this Wednesday (24 June) for a fireside chat on "The Future of Creativity," covering DeepMind's collaborations across film, games & music.

The news that Noam Shazeer is leaving Google to join OpenAI has sparked a massive wave of discussion.

Many researchers who have spent time at Google DeepMind have gone on to found their own startups, creating what some call the "DeepMind Mafia". Demis Hassabis has personally supported this ecosystem, often acting as an angel investor in these ventures.

A few examples,

- Ineffable Intelligence: Founded by David Silver, a former lead of reinforcement learning research at DeepMind.

- Mistral AI: Co-founded by Arthur Mensch, a former senior research scientist at DeepMind.

- Recursive Superintelligence: Co-founded by Tim Rocktaschel, a former principal scientist at DeepMind.

- Latent Labs: Started by Simon Kohl, who previously led the AlphaFold team at DeepMind.

- Cursive: Co-founded by former DeepMind scientist Olivier Henaff.

So, what do you think? Is this turnover a sign that Google’s culture is fundamentally misaligned with the current AI sprint?

Saw this on Twitter and it got me thinking. Compared to other AI CEOs, Demis doesn't hype as much, he's a scientist first, talks about timelines cautiously, and DeepMind still feels research-focused (AlphaFold, science work, etc.).

But at the end of the day he's still inside Google. Whatever his intentions are, AGI built at DeepMind is AGI owned by Alphabet.

So is the real sentiment here "I trust Demis but I don't trust Google"? And if so, does trusting the person even matter when the corporate structure above him makes the final calls? Curious how this sub feels about Demis. Personally, I think he's the most reasonable CEO.

Just passed the AI Practitioner exam and wanted to share my experience.

My background

Platform engineer, working quite often with AWS but mostly around K8s, networking, and security. Zero previous ML knowledge.

Prep

Spent about 2-3 weeks studying alongside a full-time job, roughly 1-2 hours on weekdays, more on weekends. Since a lot of the general AWS content was already familiar to me, I focused mainly on the core AI services and metrics.

• Stephane Maarek's course - honestly I mostly just went through the PDF slides since I didn't have time to watch the videos, except for the hands-on sections
• Tutorials Dojo practice exams - once I was scoring around 80%, I signed up for the exam and passed.

My take: Tutorials Dojo will prepare you just fine (if your goal is just to pass). If anything, the practice exams felt harder than the actual exam.

Questions I remember from the exam

I didn't pay much attention to the official domain % breakdown though.

• Pretty much all the "Responsible AI" questions revolved around explainability and fairness. It almost felt like I saw the same question 3-4 times.
• Out of 65 questions, 3 were about performance/evaluation metrics (ROUGE, BLEU, F1 score), plus one on business metrics.
• Several "what is X" questions - Amazon Neptune, tokenization, Bedrock Guardrails.
• A few questions on prompt engineering techniques and inference types (match the technique to the scenario).
• Surprisingly, almost nothing on supervised vs. unsupervised learning techniques, maybe one question.
• Tutorials Dojo is pretty heavy on "which AWS service fits this use case" (e.g., Comprehend vs. Transcribe), but I only got maybe 2-3 of those on the actual exam.
• Overall, not as many 'scenario-based' questions as I expected.
• There are quite a few tricky questions though, you can usually eliminate 2 of the 4 answers easily, but for the remaining two you really have to look for a keyword in the question itself to pick the right one.

Good luck!

Source: https://www.wsj.com/politics/policy/top-ai-ceos-call-for-law-protecting-against-biological-weapons-88f2f99f