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The original was posted on /r/singularity by /u/u_are_mad on 2026-08-19 15:15:50+00:00.

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The original was posted on /r/singularity by /u/Fantastic-Emu-3819 on 2026-08-19 14:28:52+00:00.

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The original was posted on /r/singularity by /u/Distinct-Question-16 on 2026-08-19 11:55:17+00:00.

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The original was posted on /r/singularity by /u/Neurogence on 2026-08-18 20:44:05+00:00.

This is a new quote from Sam Altman to Alex Heath saying that the reason OpenAI is slowing training is because its unreleased models are showing 'various degrees of misalignment'. They said in the blog that 'The signals we are seeing from upcoming model progress make clear that we need a broader approach' so this lines up, but this language is stronger than anything in the blog post.

https://x.com/AndrewCurran_/status/2089792631719215435

What is the true reason for these pauses? Did they rehire Helen Toner and all the EA people that have been calling for a major slowdown/pause?

Whatever the reason, these tech bros have redirected hundred of billions of dollars that could have went into research into other paradigms, architectures, for AGI. If they do not deliver AGI by 2030, even the most pro AI people would be burning datacenters.

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The original was posted on /r/singularity by /u/frankreddit5 on 2026-08-19 09:31:33+00:00.

Original Title: Neuralink enters mass production, but there's a patent that got there first (DARPA has funded neural interface research since the 1970s, long before the word commercialization entered the conversation...)

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The original was posted on /r/singularity by /u/Anxious-Yoghurt-9207 on 2026-08-19 04:23:02+00:00.

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The original was posted on /r/singularity by /u/yogthos on 2026-08-19 03:38:40+00:00.

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The original was posted on /r/singularity by /u/borowcy on 2026-08-19 00:04:03+00:00.

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The original was posted on /r/singularity by /u/Facelessjoe on 2026-08-18 23:34:53+00:00.

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The original was posted on /r/singularity by /u/ResultBackground2450 on 2026-08-18 23:06:38+00:00.

https://preview.redd.it/t2etcv8rs7kh1.png?width=960&format=png&auto=webp&s=bff2886a56220157d7eb4a3b7ef3a040a855cbe6

Source

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The original was posted on /r/singularity by /u/SnoozeDoggyDog on 2026-08-18 19:27:14+00:00.

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The original was posted on /r/singularity by /u/borowcy on 2026-08-18 19:18:06+00:00.

Original Title: Explanation from @sama on RL training pause: "Model progress is now extremely rapid, and we always said we would take action if we felt that model capabilities were outstripping the pace of safety and alignment."

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The original was posted on /r/singularity by /u/Distinct-Question-16 on 2026-08-18 18:55:32+00:00.

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The original was posted on /r/singularity by /u/Eyeswideshut_91 on 2026-08-18 18:35:41+00:00.

Bearish for near-term model releases. We'll probably be stuck at roughly the current externally available capability level for many weeks, maybe even months.

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The original was posted on /r/singularity by /u/mvandemar on 2026-08-18 16:32:43+00:00.

I saw this snippet in another article and was blown away, 15x faster on chip development is HUGE!

And then I clicked on the link to the source and saw this:

Samsung says Claude Code can cut chip design work from weeks to days, but it still makes serious mistakes. The tool has made unauthorized changes and masking errors.

Claude Code has helped Samsung's System LSI division complete work that would usually take weeks in a matter of days, according to a report in Chosun Biz. But it has also lowered the severity of error messages instead of fixing the underlying problems, rolled back unrelated completed work, and attempted to modify circuit code it was not meant to touch.

https://www.techspot.com/news/113487-samsung-claude-code-can-cut-chip-design-work.html

So yeah, there's that. Still, it just keeps getting better, haven't seen the slowdown yet.

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The original was posted on /r/singularity by /u/yogthos on 2026-08-18 15:37:33+00:00.

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The original was posted on /r/singularity by /u/Notrx73 on 2026-08-18 00:39:30+00:00.

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 ?

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The original was posted on /r/singularity by /u/KFUP on 2026-08-18 11:18:58+00:00.

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The original was posted on /r/singularity by /u/OpenSource_Horse on 2026-08-18 07:45:30+00:00.

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.”

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The original was posted on /r/singularity by /u/Novel-Lifeguard6491 on 2026-08-18 05:41:01+00:00.

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.

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The original was posted on /r/singularity by /u/kernelangus420 on 2026-08-18 01:43:11+00:00.

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.

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The original was posted on /r/singularity by /u/Neurogence on 2026-08-18 01:10:39+00:00.

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.

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The original was posted on /r/singularity by /u/Distinct-Question-16 on 2026-08-17 22:00:05+00:00.

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The original was posted on /r/singularity by /u/Southern-Break5505 on 2026-08-17 20:25:02+00:00.

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The original was posted on /r/singularity by /u/Neurogence on 2026-08-17 20:21:38+00:00.

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.