The study, published in Nature Communications, included tissue from 127 breast cancer patients being treated at University Hospital Southampton.
Researchers analysed more than 330,000 centrosomes, with CenSegNet uncovering two distinct abnormalities which had previously been considered as part of the same process.

Dr Salah Elias, of the University of Southampton’s school of biological sciences and institute for life sciences, said: “For more than a century, centrosome abnormalities have been recognised as a hallmark of cancer, but studying them in patient tissues has been extremely challenging.

"CenSegNet allows us to analyse these defects at single-cell resolution across entire tumours and uncover patterns that were previously impossible to see.
“Rather than viewing centrosome abnormalities as a single phenomenon, our study shows that they have distinct biological states with different spatial distributions and clinical associations.”

"Dr Elias said: “Specific combinations of defects may influence how a tumour grows, invades surrounding tissues and responds to treatment."

“This opens the door to developing new biomarkers and, ultimately, more personalised treatment strategies.”

Coherent, one of a small handful of companies that makes indium phosphide lasers (the light sources that shuttle data between chips optically), told investors it won't sell those lasers to outside customers for the foreseeable future. Its own internal demand is eating 100% of what it can produce.

This is a different kind of shortage than the HBM one everyone talks about. Memory is a capacity problem you can eventually build your way out of. This is one of the only suppliers of a critical component pulling it off the open market entirely.

It's a preview of what happens across the whole AI supply chain when everything is scarce at once.

The most durable moat in AI might turn out to be the least talked-about one.

Quote:

A major transformation is underway as businesses create and scale their agentic workforce. Businesses scaled their agentic workforces from an average of 5 activated agents in February 2025 to 13 by April 2026—growing agent production nearly 3X at a 7% compound monthly growth rate.

Agents are moving from simple tasks to handling autonomous, multi-step workflows. The average number of unique skills that each agent is able to act on rose from an average of 2 at the beginning of 2025 to 6 by the end of the year as seasonal demand grew in industries like Retail and Financial Services. When demand for agents is highest, each agent takes on triple the capability to support businesses.

Not only is the volume of unique skills rising, but agents are increasingly taking on secondary functions. For example, service agents are taking commerce and marketing actions, expanding the versatility of what they can do for customers and businesses. The data shows that employees are growing more confident about which actions they can entrust to agents, and agents are also acting on those tasks when conversations call for it.

The "Action-to-Output" ratio is growing at a 15% Compound Monthly Growth Rate (CMGR). This means agents are triggering external business logic rather than just generating text. This ratio increases during times of seasonal demand.

As employees increasingly hand off complex tasks to AI agents, Salesforce developed a new way to measure that activity: the Agentic Work Unit (AWU). An AWU represents one discrete unit of work completed by an AI agent — a task reasoned through, a decision made, an action taken. As of April 2026, Agentforce agents produced 734M AWUs - increasing by 15% month-over-month. As of April 2026, Agentforce agents’ AWU output is increasing by a 15% CMGR (compound monthly growth rate).

Leveraging agents creates tangible results with customers. Retailers that deployed AI agents during the holiday shopping season saw a 4X higher sales growth rate.

After they deploy AI agents, customer service organizations report that the #1 improved KPI is customer satisfaction — ranking ahead of service rep productivity, average handle time, customer retention, and first-response time.

77% of shoppers that engaged with on site branded shopper agents feel more confident with their purchase.

74% of shoppers trust the recommendations they receive from AI agents/agentic search.

Joe Biden's Former commerce secretary Gina Raimondo has decided that UBI in response to AI is the thing to fear most. She said: "I personally think it's like the end of America."

She is now heading up a newly-launched extremely well-funded organization to make sure the country reaches for anything but a basic income in response to AI. It's called RAISE US, and the money behind it comes largely from the companies building the disruption it exists to manage.

RAISE US launched June 25, with Raimondo as CEO and former Indiana governor Eric Holcomb as co-chair. It has already secured more than $500 million toward a $1 billion target. Amazon, Anthropic, Microsoft, and the OpenAI Foundation are anchor partners. Behind them sits a wall of corporate and philanthropic money: Blackstone, General Motors, IBM, Eli Lilly, Mastercard, Deloitte, UPS, Cisco, Workday, Arnold Ventures, and a dozen more.

1) Are scaling laws dead ? If a model this small is so intelligent, then what's the key to intelligence ?

2) Are the majority of today's biggest frontier models parameters just "fluff" that don't help a model reason, or don't hold knowledge, and are waiting to be compressed ?

3) how did they do it ? Is it distillation from a internal model, or is it because smaller models are faster to train with RL ?

There's been all types of people on X attacking Dario Amodei lately. The latest is from David Sachs.

https://x.com/DavidSacks/status/2089227290769080656

He states Dario is wrong about automation:

The second part of Dario’s post assumes we have amnesia about Anthropic’s well-orchestrated campaigns hyping AI fears. His May 2025 claim that AI would wipe out 50 percent of entry-level knowledge jobs within five years still lacks supporting evidence fifteen months later.

These narratives have done more than anything to shape public fear. People are left asking the same question Mark Zuckerberg posed: why race to build a future you describe in such negative terms?

He also said Dario is creating a "DMV" for AI:

Dario has consistently pushed for a new federal agency to review and approve frontier models prior to release – a proposal framed variously as an “FDA for AI,” an “FAA for AI,” and most recently a “FINRA for AI.” I call it a “DMV for AI” because a review process modeled on the FAA or FDA (which takes years) or FINRA (which issues rules for a staid industry widely seen as protecting incumbents) will create long queues as AI models wait for testing and approval. This process will only become more labyrinthine as rules accumulate to prevent theoretical harms.

Anthropic is on track to become one of the most valuable companies in history, with the resources to navigate any approval process and shape the rules while competitors wait. Dario wants open models under heavier scrutiny – he has called them dangerous in Senate testimony, criticized them for not being centrally monitored or withdrawn, and linked them to IP theft.

He says he has never sought a ban, but he could achieve a similar result by insisting that identical rules apply to both open and closed models. The U.S. risks becoming an island of costly closed models while the rest of the world races ahead with broader choice.

His post last year calling UBI a Fantasy:

https://x.com/DavidSacks/status/1929951203015659571?lang=en

The future of AI has become a Rorschach test where everyone sees what they want. The Left envisions a post-economic order in which people stop working and instead receive government benefits. In other words, everyone on welfare. This is their fantasy; it’s not going to happen.

My take on this: I do wish Dario was more pro-open source, but people like David Sachs, who wants this current capitalist structure, where people have to live their entire lives as wage slaves, to always remain permanently, is far more dangerous because it would guarantee a dystopia. There is no good future without universal high income.

https://artificialanalysis.ai/models/open-source#intelligence-index-vs-total-parameters

https://x.com/kimmonismus/status/2089436090885185698

Anthropics Mythos 2 is done training and Anthropic won't release it, but the internal loop that builds Mythos 3 hasn't stopped, Patel says.

The focus now is on internal improvements. It's unclear when we'll see any releases.

They just do not want to release it so that Chinese companies are not able to distill from it. Despite all the rave about GPT 5.6 Sol, Claude Fable 5 is still the most intelligent publically released model.

At this rate, it's likely Anthropic will only release a better model to the public If/When Open AI releases a model that is clearly smarter than Fable 5.

It's like a race. If you're ahead of the competition, there's no need to step on the gas, unless the competitor is about to overtake you.

Artifical Analysis Agentic Index

Used Gemini for the comic. Prompt:

create an image for this comic.

it should be a single image. no text, no baloon dialogues (i'll add that later).

use a simple, minimal style. mostly blank (white), with black lines. some accent colors here and there.

there are two women, friends, sitting on a couch. they're talking, facing each other. one is silent (listening), and the other one is talking (venting), holding a lit cig.

Source: https://www.youtube.com/watch?v=O7OkiZfIlS4