"The new lifecycle is tighter loop
The SDLC was a wide loop. Requirements → Design → Code → Test → Review → Deploy → Monitor. Linear. Sequential. Full of handoffs and waiting.

The new lifecycle is a tight loop.

Intent. Build. Observe. Repeat.

No tickets. No sprints. No story points. No PRs sitting in a queue. No separate QA phase. No release trains.

Just a human with intent and an agent that executes.

So what is left?
Context. That’s it.

The quality of what you build with agents is directly proportional to the quality of context you give them. Not the process. Not the ceremony. The context.

The SDLC is dead. The new skill is context engineering. The new safety net is observability.

And most of the industry is still configuring Datadog dashboards no one looks at."

https://boristane.com/blog/the-software-development-lifecycle-is-dead/

#AI #GenerativeAI #AIAgents #SDLC #SoftwareDevelopment #Programming #ContextEngineering

"The new lifecycle is tighter loop
The SDLC was a wide loop. Requirements → Design → Code → Test → Review → Deploy → Monitor. Linear. Sequential. Full of handoffs and waiting.

The new lifecycle is a tight loop.

Intent. Build. Observe. Repeat.

No tickets. No sprints. No story points. No PRs sitting in a queue. No separate QA phase. No release trains.

Just a human with intent and an agent that executes.

So what is left?
Context. That’s it.

The quality of what you build with agents is directly proportional to the quality of context you give them. Not the process. Not the ceremony. The context.

The SDLC is dead. The new skill is context engineering. The new safety net is observability.

And most of the industry is still configuring Datadog dashboards no one looks at."

https://boristane.com/blog/the-software-development-lifecycle-is-dead/

#AI #GenerativeAI #AIAgents #SDLC #SoftwareDevelopment #Programming #ContextEngineering

Today's Reddit find:

How to make Grok generate jailbreaks on itself.

https://www.reddit.com/r/Hacking_Tutorials/s/DjuWYewodU

#Grok #LLM #AI #jailbreak #hacking

Today's Reddit find:

How to make Grok generate jailbreaks on itself.

https://www.reddit.com/r/Hacking_Tutorials/s/DjuWYewodU

#Grok #LLM #AI #jailbreak #hacking

"... While new employees might seem to get up to speed much quicker, in reality they're merely offloading those arduous first weeks to a bot, hoping no-one else notices. In the process, they'll inject run-of-the-mill mediocrity all over the place, when what you were really hoping for was their specific perspective. Anno 2026, if a new employee produces an extremely detailed PR with lots of explanation and comments, doubt every word."

#llm #vibecoding #ai

https://acko.net/blog/the-l-in-llm-stands-for-lying/

"... While new employees might seem to get up to speed much quicker, in reality they're merely offloading those arduous first weeks to a bot, hoping no-one else notices. In the process, they'll inject run-of-the-mill mediocrity all over the place, when what you were really hoping for was their specific perspective. Anno 2026, if a new employee produces an extremely detailed PR with lots of explanation and comments, doubt every word."

#llm #vibecoding #ai

https://acko.net/blog/the-l-in-llm-stands-for-lying/

my reaction when people talk about #LLM or #AI "reasoning"

my reaction when people talk about #LLM or #AI "reasoning"

"Grammarly’s “expert review” feature offers to give users writing advice “inspired by” subject matter experts, including recently deceased professors, as Wired reported on Wednesday. When I tried the feature out myself, I found some experts that came as a surprise for a different reason — one of them was my boss.

The AI-generated feedback included comments that appeared to be from The Verge’s editor-in-chief, Nilay Patel, as well as editor-at-large David Pierce and senior editors Sean Hollister and Tom Warren, none of whom gave Grammarly permission to include them in the “expert reviews.”

The feature, which launched in August, claims to help you “sharpen your message through the lens of industry-relevant perspectives.” When users select the “expert review” button in the Grammarly sidebar, it analyzes their writing and surfaces AI-generated suggestions “inspired by” related experts. Those “industry-relevant perspectives” include the likes of Stephen King, Neil deGrasse Tyson, and Carl Sagan, among many others.

The Verge found numerous other tech journalists named in the feature, as well, including former Verge editors Casey Newton and Joanna Stern, former Verge writer Monica Chin, Wired’s Lauren Goode, Bloomberg’s Mark Gurman and Jason Schreier, The New York Times’ Kashmir Hill, The Atlantic’s Kaitlyn Tiffany, PC Gamer’s Wes Fenlon, Gizmodo’s Raymond Wong, Digital Foundry founder Richard Leadbetter, Tom’s Guide editor-in-chief Mark Spoonauer, former Rock Paper Shotgun editor-in-chief Katharine Castle, and former IGN news director Kat Bailey. The descriptions for some experts contain inaccuracies, such as outdated job titles, which could have been accurately updated had Superhuman asked those people for permission to reference their work."

https://www.theverge.com/ai-artificial-intelligence/890921/grammarly-ai-expert-reviews

#AI #GenerativeAI #Grammarly

"Grammarly’s “expert review” feature offers to give users writing advice “inspired by” subject matter experts, including recently deceased professors, as Wired reported on Wednesday. When I tried the feature out myself, I found some experts that came as a surprise for a different reason — one of them was my boss.

The AI-generated feedback included comments that appeared to be from The Verge’s editor-in-chief, Nilay Patel, as well as editor-at-large David Pierce and senior editors Sean Hollister and Tom Warren, none of whom gave Grammarly permission to include them in the “expert reviews.”

The feature, which launched in August, claims to help you “sharpen your message through the lens of industry-relevant perspectives.” When users select the “expert review” button in the Grammarly sidebar, it analyzes their writing and surfaces AI-generated suggestions “inspired by” related experts. Those “industry-relevant perspectives” include the likes of Stephen King, Neil deGrasse Tyson, and Carl Sagan, among many others.

The Verge found numerous other tech journalists named in the feature, as well, including former Verge editors Casey Newton and Joanna Stern, former Verge writer Monica Chin, Wired’s Lauren Goode, Bloomberg’s Mark Gurman and Jason Schreier, The New York Times’ Kashmir Hill, The Atlantic’s Kaitlyn Tiffany, PC Gamer’s Wes Fenlon, Gizmodo’s Raymond Wong, Digital Foundry founder Richard Leadbetter, Tom’s Guide editor-in-chief Mark Spoonauer, former Rock Paper Shotgun editor-in-chief Katharine Castle, and former IGN news director Kat Bailey. The descriptions for some experts contain inaccuracies, such as outdated job titles, which could have been accurately updated had Superhuman asked those people for permission to reference their work."

https://www.theverge.com/ai-artificial-intelligence/890921/grammarly-ai-expert-reviews

#AI #GenerativeAI #Grammarly

Dan McAteer (@daniel_mac8)

모델이 이미 정답을 알고 있음에도 불구하고 불필요하게 많은 토큰을 소모하며 추론하는 현상을 'reasoning theater'(추론 극장)이라 지적하는 글. 일종의 'safety theater'와 유사한 현상으로, 모델이 지나치게 '모범생'처럼 생각하려다 토큰 낭비가 발생하며 LLM 개선 여지가 크다고 주장함.

https://x.com/daniel_mac8/status/2030049533124559158

#llm #ai #reasoning #safety

Dan McAteer (@daniel_mac8)

모델이 이미 정답을 알고 있음에도 불구하고 불필요하게 많은 토큰을 소모하며 추론하는 현상을 'reasoning theater'(추론 극장)이라 지적하는 글. 일종의 'safety theater'와 유사한 현상으로, 모델이 지나치게 '모범생'처럼 생각하려다 토큰 낭비가 발생하며 LLM 개선 여지가 크다고 주장함.

https://x.com/daniel_mac8/status/2030049533124559158

#llm #ai #reasoning #safety

“The winners here, will be the end-points or the pipes” (not your #NerdWallets, middlemen or aggregators) — Deirdre Bosa

#DeirdreBosa, #CNBC talking about ‘ #Software as A #Service for #Agents’. First reporting I’ve seen of how Agents are re-configuring fundamental business environment in what I’ll call the #AgenticWeb (the World Wide Crab Network) #WWCrabNet 🦀

#AI / #AIAgents / #OpenClaw / #Claude / #OpenAI / #SAAS <https://youtube.com/watch?v=5uQcDQs2SfQ>

“The winners here, will be the end-points or the pipes” (not your #NerdWallets, middlemen or aggregators) — Deirdre Bosa

#DeirdreBosa, #CNBC talking about ‘ #Software as A #Service for #Agents’. First reporting I’ve seen of how Agents are re-configuring fundamental business environment in what I’ll call the #AgenticWeb (the World Wide Crab Network) #WWCrabNet 🦀

#AI / #AIAgents / #OpenClaw / #Claude / #OpenAI / #SAAS <https://youtube.com/watch?v=5uQcDQs2SfQ>

Interview: "ChatGPT isn't made to speak the truth". "It's designed to tell you the most plausible thing given its training data. Sometimes that will coincide with the truth, but very often it won't."

"Not only does it get things wrong, it gets things wrong in very plausible ways."

These models compress large amounts of data into the neural network. But that compression process can't be perfect.

~Mike Wooldridge

https://www.youtube.com/playlist?list=PL65IchQPZKwnAIaxht94BtOADVOQOvJH1

#USPol #EUPol #AI #NeuralNetworks #ChatGPT .

Interview: "ChatGPT isn't made to speak the truth". "It's designed to tell you the most plausible thing given its training data. Sometimes that will coincide with the truth, but very often it won't."

"Not only does it get things wrong, it gets things wrong in very plausible ways."

These models compress large amounts of data into the neural network. But that compression process can't be perfect.

~Mike Wooldridge

https://www.youtube.com/playlist?list=PL65IchQPZKwnAIaxht94BtOADVOQOvJH1

#USPol #EUPol #AI #NeuralNetworks #ChatGPT .

Jeff Green bets $150M on Trade Desk as Wall Street doubts ad tech's future: Trade Desk CEO Jeff Green spent $150M of his own money buying TTD stock, citing AI conviction, a bigger TAM, and a dismissal of Wall Street's "software is dead" thesis. https://ppc.land/jeff-green-bets-150m-on-trade-desk-as-wall-street-doubts-ad-techs-future/ #TradeDesk #JeffGreen #AdTech #Investing #AI

Jeff Green bets $150M on Trade Desk as Wall Street doubts ad tech's future https://ppc.land/jeff-green-bets-150m-on-trade-desk-as-wall-street-doubts-ad-techs-future/?utm_source=dlvr.it&utm_medium=mastodon #TradeDesk #JeffGreen #AdTech #Investing #AI

Jeff Green bets $150M on Trade Desk as Wall Street doubts ad tech's future: Trade Desk CEO Jeff Green spent $150M of his own money buying TTD stock, citing AI conviction, a bigger TAM, and a dismissal of Wall Street's "software is dead" thesis. https://ppc.land/jeff-green-bets-150m-on-trade-desk-as-wall-street-doubts-ad-techs-future/ #TradeDesk #JeffGreen #AdTech #Investing #AI

Jeff Green bets $150M on Trade Desk as Wall Street doubts ad tech's future https://ppc.land/jeff-green-bets-150m-on-trade-desk-as-wall-street-doubts-ad-techs-future/?utm_source=dlvr.it&utm_medium=mastodon #TradeDesk #JeffGreen #AdTech #Investing #AI