Anthropic CEO after realizing a Chinese dev explained loop... vs graph engineering better than anyone at the companyshow more

Elon after realizing a random guy explained Grok bot... better than the entire xAI teamshow more

Anthropic CEO, Dario Amodei: the first billion-dollar company with... a single human employee could emerge by 2026show more

me after realizing i handled a situation way better... than my past self would've & I'm actually growing ✨show more

ANTHROPIC ENGINEER JUST SHOWS EXACTLY WHAT GRAPH ENGINEERING LOOKS... LIKE WHEN A TASK RUNS THROUGH IT most people arguing about graphs online have never actually watched one execute Task → Researcher → Planner → Writer + Code Agent → Reviewer → Deploy six nodes, one shared state, graph completes itself while you watch loop mode gets disabled the second the task splits into real specialties, one agent stops trying to do everything at once reviewer catches a failure, kicks it straight back to the exact node that broke - not a full restart, no lost context the graph is not a fancier loop - it is the org chart your agents were missing bookmark this and watch it run, then read the article below to see why the timeline just found what production systems already doshow more

What feels better than this after a long day... at the gym?show more

The Matrix launch video lands on one line; in... Matrix, anyone can become a CEO. That’s the real claim. Not one assistant doing one task. A company that keeps running after the first prompt, routing intent through a CEO Office, into OKRs, down to departments that do the work and send back proof to review. Connect Codex, point your leftover credits at it, and the first agent company is live.show more

FIVE LAYERS OF AGENT ENGINEERING, EACH ONE WRAPS THE... ONE BELOW IT. IF YOU SKIP LAYER 2, YOUR LAYER 5 WILL LOOK BROKEN WHEN IT IS ACTUALLY JUST STANDING ON NOTHING. for weeks i debated harness vs loop vs graph like they were competing choices. then a stack diagram made the shape obvious. they are not choices. they are floors. 01 | prompt engineering. the message. unit of work: one input. inputs are role, instructions, examples, format. output is a single raw response. 02 | context engineering. the memory. unit of work: what stays in the window. a curator selects, compresses, and drops from query, docs, memory, prior turns, and tool outputs before the prompt runs. 03 | harness engineering. the machine. unit of work: the machine itself. gather (context + prompt) → LLM → tools or sub-agents → verifier → final response. the article calls this the operating environment. 04 | loop engineering. the system. unit of work: the run. goal + success criteria + max iterations + budget + completion check wrap around one harness pass. failed pass appends results to context and retries. 05 | graph engineering. the topology. unit of work: the graph run. goal + nodes + edges + state schema. graph routes to agent nodes, tool nodes, or human approval. a reviewer node with a different model and fresh context checks the final answer. the wrapping is the whole point. layer 5 assumes layer 4 works. layer 4 assumes layer 3 works. skip layer 2 and layer 3's verifier keeps failing without a clear reason. this is why swapping the model is a one-day project and swapping the stack is a quarter. the model is the commodity. the five layers around it are the engineering. full three-layer breakdown of the top of the stack (harness, loop, graph) in the post below.show more

A TEAM JUST DEPLOYED 15 AUTONOMOUS LOOP AGENTS FROM... A SINGLE PROMPT USING APPLIED GRAPH ENGINEERING Most developers still manually hardcode multi agent systems, writing separate logic for every individual task. Graph engineering changes this by using a central topological map to spin up all 15 nodes simultaneously. A single 200 word input generates the architecture, routing 120 unique pathways between agents instantly. Instead of failing under conflicting instructions, these loop agents self correct via continuous state sharing. Managing a 15 node mesh requires high token throughput, making this dependent on strict low-] latency API tiers. See exactly how this automated multi agent graph architecture actually operates in real time ↓show more

Awkward moment: OpenAI CEO Sam Altman and Anthropic CEO... Dario Amodei visibly declined to hold hands during a group photo at the India AI Impact Summit.show more

desi editors are doing better job at promoting #GirlRulesSeries... than that blue company bcz why this suits more than the ost 🤧show more

Jensen Huang the CEO of the world’s most valuable... company, NVIDIA, delivers a message of support to Israelis working at the company. (JBN)show more

Me at the family party realizing none of these... people know how to implement DSA, deploy a backend server, or even write a for loop.show more

Yixing mixed up all three languages at once —... thanked the waiter in English, Chinese and Korean 😭 his reaction after realizing it was the cutest thing ever 😭🤏show more

A Chinese tech company presented a device weighing no... more than 20 kilograms to a company that breaks rocks using heavy machinery. When the device split a massive rock into two within seconds, the workers were astonished.show more

Got a transit problem? The Boring Company will fix... it. Zero cost. You pitch the tunnel. Up to 1 mile. 12-foot diameter. Loop, freight, pedestrian, utility, water - pick your painkiller. Winner gets the tunnel. No invoice. Anyone for a free tunnel? The Boring Company, Elon Muskshow more

anthropic will sell you opus 5 at $200/mo. openai... will sell you gpt-5.6 at $200/mo. neither will tell you the fix that drops your bill to $20 was posted free on langchain's blog on july 18 peter steinberger posted one line asking if we'd moved from loops to graphs yet. 24 hours later there was a manifesto. a week later every ai account had a $497 graph engineering course. all of them wrong about the same thing the sentence that ends the argument, buried in a langchain post nobody quoted: loop engineering isn't an alternative to graphs, so much as a simple version of them the machine, five layers, each wraps the one below: L1 the ask · 23% of errors (anthropic red team, q4 2024) -> "just add more instructions" burns tokens with zero accuracy gain -> real fix: examples, output schema, constraints as positives L2 the context · where 90% of you actually die -> 140,500 tokens where 18,000 would work, 8x the price for the worse answer -> real fix: retrieve, rank, compact, clear dead tool outputs L3 the harness · 31% of "model bugs" are harness bugs (openai safety eval, 2024) -> unbounded file perms = avg $23,400 incident. sandboxed = $0 (stripe internal) -> no timeout = $847 median in api fees before you notice -> real fix: explicit scopes, timeouts, human-required gates L4 the loop · "it stopped" is a loop exit problem -> the verifier said "looks good" to garbage. again -> real fix: machine-checkable exit test, turn cap, rubric L5 the graph · only 12% of teams use graphs in prod (stanford hai, n=2,841) -> 58% of graph failures are wrong-agent selection, not model -> teams abandon graphs saying "harder to debug than a loop." that's a harness problem -> real fix: name every node's specialty, delete decoration fix down, not up. a symptom at layer 4 usually originates at layer 2. a bigger model on a broken harness is a smarter employee locked in the same empty room drop your $200/mo ai sub to $20, check the article belowshow more

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei... visibly declined to hold hands during a group photo at the India AI Impact Summit, even as other leaders on stage linked arms for the ceremonial shotshow more

The NBA has partnered with Prime Video & Twitch... after realizing chat reactions are faster than replay review. 💀 Lakers vs Mavs is currently being streamed by Agent00 and Adapt 🍿show more

I saw a CEO of an SI company at... Twitchcon this weekend, he made fun of my name last time he saw me in his chat.... Anyone wanna guess who it was?show more