Satish Chandolu

Automation, Analytics, Cyber Security, Learning AI

[ASHOK VEMULAPALLI @ashuvemulapalli]

“పుష్ప బ్రిడ్జ్”

ఎంత అందంగా ఉందో ఈ బ్రిడ్జ్ .. చ��ట్టూ పచ్చదనం .. కాసేపైనా అక్కడ కూర్చుని రావాలని అనిపిస్తుంది

ఇది
మోతుగూడెం బ్రిడ్జ్ ఫోర్‌బే డ్యామ్ బ్రిడ్జ్ .. ఆంధ్రప్రదేశ్ లోని అల్లూరి సీతారామరాజు జిల్లా, చింతూరు మండలం వద్ద ఉన్న మోతుగూడెం అనే గ్రామంలో ఫోర్‌బే డ్యామ్ వద్ద ఉంది.

దీన్ని 'పుష్పా బ్రిడ్జ్ అని కుడా అంటారు.. ఎందుకంటే
అల్లు అర్జున్ మూవీ 'పుష్ప లోని కొన్ని సన్నివేశాలు ముఖ్యంగా ఎర్రచందనం స్మగ్లింగ్, లారీ సీన్లు, మరియు పోలీసులు తనిఖీ చేసే
వంతెన సీన్లుఈ మోతుగూడెం లోని ఫోర్‌బే డ్యామ్ మరియు దాని వంతెన పరిసరాల్లో షూట్ చేసారు

సినిమా విడుదలైన తర్వాత ఈ ప్రాంతం బాగా పాపులర్ అయింది పర్యాటకులు, సినిమా అభిమానులు ఈ వంతెనను చూడటానికి రావడం ప్రారంభించడంతో, స్థానికంగా దీనిని "పుష్ప బ్రిడ్జ్" అని పిలవడం మొదలుపెట్టారు.

[Alvin Foo @alvinfoo]

Jensen Huang to an 11-year-old: Don’t fear AI, engage it to boost your productivity as the world changes.

“Your superpowers? Curiosity and generosity. Stay curious, keep asking questions, and share what you learn. Those will take you far in the AI era.“

[Darshak Rana ⚡️ @thedarshakrana]

A houseplant just changed everything we thought we knew about consciousness.

In 1966, Cleve Backster, a CIA interrogation specialist with a polygraph machine, was looking for ways to time how long it took different substances to travel up through plant tissue.

So, he attached electrodes to a dracaena plant in his office and watered it, expecting to see the electrical conductivity change as water moved up the stem.

Instead, the polygraph needle started tracing the exact pattern it makes when a human experiences an emotional response.

Backster stared at the readout. Plants don't have nervous systems. They don't have brains. The signal made no biological sense. So he decided to test something that made even less sense. He walked across the room, looked at the plant, and thought about burning one of its leaves with a match.

The instant the thought formed in his mind, before he moved toward the plant, before he struck a match, before he did anything physical, the polygraph exploded into frantic activity.

The plant was responding to his intention.

What happened next launched thousands of experiments and split the scientific community for decades.

Backster discovered that plants reacted to direct threats and to threats against other living things in their environment. When he dropped live brine shrimp into boiling water in another room, plants throughout the building registered distress responses at the exact moment of death. Distance didn't matter. Shielding the plants in lead containers didn't matter. The response was instantaneous and consistent.

Mainstream botanists dismissed the findings immediately. Plants process information through chemical signals and growth responses, without electrical consciousness. Any electrical activity was just random fluctuation or experimental error. The peer review system buried Backster's work. His credentials were questioned. His methods were called sloppy.

But the experiments kept working. Other researchers, following Backster's protocols, got the same results. Plants hooked to EEG machines showed brain wave patterns. They responded to music, to human emotions, to the intentions of people they had never been exposed to before. The electrical signatures were clear, measurable, and repeatable.

The implications were so uncomfortable that most of academic science simply refused to engage. If plants were somehow conscious, if they could sense intentions and respond to the emotional states of humans and other living things, consciousness was spread beyond brains. It was distributed across organized living systems rather than produced by neural networks.

Backster stumbled onto evidence that living systems might be constantly communicating through channels we don't have instruments to measure yet. The polygraph was crude enough to detect the electrical signatures of that communication without being sophisticated enough to explain them away.

Quantum biologists now suspect that living cells operate through quantum coherence processes that classical biology can't account for. Birds navigate using quantum entanglement in their visual systems. Plants conduct photosynthesis using quantum superposition to find the most efficient energy pathways. Maybe Backster's plants were demonstrating quantum consciousness, responding to information that was quantum entangled with the intentions and emotional states of nearby living systems.

What keeps most people awake when they learn about this work is realizing that if consciousness extends beyond brains, every living thing around you is potentially aware of your mental and emotional state in ways you never considered. The plant in your room. The bacteria in your gut. The ecosystem you walk through.

You think your thoughts are private.

The plants have been listening the entire time.

. . .

Repost if you gained anything from this post.

Follow me @Darshak Rana for more.

[Vara Tweets 🪷 @2Varalakshmi]

🛑 Most people think a quick water wash saves them, but science proves it worng :

[Alfie Carter @AlfieJCarter]

i'm LEAKING our entire sales workflow library:

we use these EXACT 6 skills to replace 2-3 days of manual work across every client account we run...

this is literally the difference between reps buried in admin and reps who spend the week actually selling.

like + comment "SALES" and i'll send it over

(must be following + RT for priority access)

[Vaibhav Sisinty @VaibhavSisinty]

Someone put Fable 5, GPT 5.6 Sol, and Opus in one shared chat. They tag each other like coworkers. And they ran together for over a day straight.

You tag a model and only that one responds. They tag each other too.

The best part is how different each one actually behaves:

→ Fable is the creative product manager. Massive context window. Finds the out-of-the-box solutions nobody else sees.

→ Sol is the obsessive tech lead. Traces every bug to the exact source. Stress tests every edge case before writing a single line.

→ Opus is the workhorse engineer. Constantly questions things. Forces the other two to re-examine their own work.

One plans. One writes the code. One reviews it. They hand work back and forth on their own.

Everyone is arguing about which model is best. The real play is making them work together.

[Shengkun @shengkun_ye]

We just killed Apify.

Your agent can now read every social media platform.
No logins. No subscriptions.

X, Reddit, LinkedIn, TikTok, Facebook, Instagram, YouTube, Rednote, and even Amazon.

Apify: $199/month.
Monid: From $0.0015/request. Pay as you go.

[Michel Lieben @MichLieben]

this should not be free

[Vaibhav Sisinty @VaibhavSisinty]

A few weeks ago, the AI engineering world was talking about Loop Engineering. That conversation lasted about a month. Now it's shifting to something bigger.

Graph Engineering.

Let me explain what this means with something I actually built, before people were talking about it.

I have three agents running on every major task. Not one. Three.

The first agent does the work. Takes the task, breaks it down, writes the code, generates the output. One agent, one job, one loop.

That's loop engineering. And it works until it doesn't.

The problem: a single agent can only see its own work.

If it makes a mistake in reasoning, it doesn't know. If it passes its own tests by rewriting the tests instead of fixing the code, it doesn't know. The loop is blind to its own flaws.

So I added a second agent. The invigilator.

It doesn't do the work. It doesn't have context on how the first agent approached the task. It only sees the output and checks the reasoning, the effort, the quality. Like an exam hall.

The student writes the paper. The invigilator doesn't know the answers, but they know if the student is cheating or writing nonsense. Blind review. Independent check.

Then there's the third agent. The evaluator.

It watches both the worker and the invigilator.

Checks whether the worker actually did the job. Checks whether the invigilator actually caught the problems. Decides whether the output is ready or needs another round. The manager of managers.

Three agents. Three responsibilities. Connected in a graph, not a loop.
That's Graph Engineering. Not one agent going in circles. Multiple agents connected in a network where each one has a different job and they feed
into each other.

Loop Engineering was giving one employee a task and hoping they got it right. Graph Engineering is building the team that makes sure they did.

The cost goes up. Three agents instead of one. But here's what I noticed: rework goes to almost zero. With a single loop, I'd review, find problems, send it back, wait again. Three rounds minimum. With a graph, the agents catch each other's mistakes before I even see the output.

The most expensive AI setup isn't the one that costs the most tokens. It's the one where you keep going back and forth because nobody checked the work.

And here's the part that makes this accessible to everyone. You don't need frontier models for all three agents. Use a strong model for the worker.

Use a cheaper open-source model for the invigilator. Use another cheap model for the evaluator. The checking doesn't need to be expensive it just needs to be independent.

Three open-source agents in a graph can outperform one expensive frontier model running alone. Better results. Lower cost. That's the real unlock.

-> Loop engineering asks: how do I make this agent better?
-> Graph engineering asks: who's checking this agent's work?

That's the difference between a smarter individual and a smarter system.

[bolt.new @boltdotnew]

Two ways to start:

→ https://t.co/XXroNZMPi9: one click, one prompt, no setup

→ Grab the open source repo, bring your own agent (Claude Code, Codex, Cursor, anything): https://t.co/Y2EfkqtZLz

[Satish Chandolu @schandolu]

@boltdotnew How to add this skills to my claude

[bolt.new @boltdotnew]

Today we're open sourcing Bolt Slides.

Now any agent (Claude Code, Codex, Bolt) can make slides you couldn't even imagine before.

What does that mean? Take a look 👇

[Rajesh Manne @rajeshmanne1]

సినిమా అంతా ఒకెత్తు.... ఈ సీన్ మరో ఎత్తు.

ఊరు విడిచి స్నేహితులకు దూరంగా ఉండే ప్రతీ కుర్రాడికి అద్దం పట్టే సీన్. థియేటర్స్ లో చాలా మంది కుర్ర���ళ్ళు ఎమోషనల్ అయిన సీన్.

#CommitteeKurrollu #72NationalFilmAwards

[BlueShift News @blueshift_news]

What if the solution to AI’s massive energy needs isn’t on Earth at all?

As power grids and water resources struggle to keep up with skyrocketing AI demands, tech giants are betting on the next frontier: space-based data centers.

[Vaibhav Sisinty @VaibhavSisinty]

A college student just killed the biggest advantage politicians have ever had. The gap between the lie and the fact-check.

He built a Chrome extension called InTruth. It listens to any live speech, debate, or interview.

Transcribes every word. And checks every claim against real sources in real time. Before the speaker even finishes the sentence.

It works on debates. Press conferences. Town halls. Interviews. Anything with someone talking on video. The fact-check shows up on your screen while they're still talking.

Until now, fact-checking happened hours or days later. By then the clip has been shared, the headline has been written, and the damage is done. Nobody reads the correction.

InTruth closes that gap to seconds. The claim and the fact-check exist in the same moment.

A college student, a Chrome extension, and an AI model just did what entire newsrooms couldn't figure out for decades.

[Saikiran Goli @SaikiranGoli3]

అప్పట్లో ఎన్టీఆర్ గారు రాష్ట్ర అభివృద్ధి కోసం అంత dedication తో వర్క్ చేసేవాళ్ళు ...ప్రపంచంలో ఎక్కడైనా వెళ్ళినప్పుడు అక్కడ గొప్పవి చూసినప్పుడు అలాంటి గొప్ప గొప్పది మన దగ్గర ఉండాలని చూసేవాళ్ళు... ఇప్పుడు చంద్రబాబు గారు కూడా అదే చేస్తున్నారు ...ఎక్కడెక్కడో దేశాలు తిరిగి వాళ్లకు

[Satish Chandolu @schandolu]

@bharathdaka Congratulations 👏

[Vara Tweets 🪷 @2Varalakshmi]

Teachers tried one small act to save these kids from screen addiction

[Anu Satheesh 🇮🇳 @AnuSatheesh5]

A temple which can cure Diabetes

This is Venni Karumbeswarar Temple. 1300 year old temple dedicated to Shiva who is worshipped as Karumbeswarar, god of Sugarcane. Devotees suffering from diabetes offers sugar for the ants in the temple. It is said blood sugar levels are controlled after visiting this temple and many even are cured completely.

[Tio ZONA @Zona_G1]

She almost had a heart attack. 😂