PaLM 2 Deprecated

[https://drive.google.com/drive/folders/1qWgi6eE2QTkovaYtd64Mn8stl2vlG5lk](https://drive.google.com/drive/folders/1qWgi6eE2QTkovaYtd64Mn8stl2vlG5lk)

Eng literature me keywords and all figure of speeches and allusions

HAUNTED HOUSES KEYWORDS

1. Ethereal
2. Incorporeal
3. Antiquated
4. Impalpable
5. Preternatural
6. Revenant
7. Celestial body influence
8. Metaphysical
9. Nostalgia
10. Dualism of earthy desires and higher aspirations
11. Inhabitants
12. Inoffensive
13. Intangible
14. Tranquility
15. Coexistence
16. Benediction
17. Perpetual
18. Perturbation (disturbances)
19. Illuminated hall
20. Aspirations
21. Lingering memories
22. Spiritual claim
23. Mortmain (dead hand)
24. Legal ownership
25. Trembling unstable bridge of light
26. Abyss (unfathomable and deep and dark)
27. Fancies(imaginations)
28. Errands
29. Wafts
30. Earthly most and vapourdense
31. Equipoise (equilibrium)
32. Undiscovered star
33. Intrigue
34. Otherworldly
35. Fragility of the bridge

GLOVE AND THE LION KEYWORDS

1. Ballad
2. Gallant
3. Valour
4. Chivalry
5. Adorned court (decorated)
6. Nobility
7. Ferocious
8. Mane
9. Grisly
10. Vain
11. Frivolous
12. Vanity
13. Manipulative
14. Swiftness
15. Narcissistic
16. Pride
17. Royal sport
18. Ramping
19. Roaring
20. Horrid laughing jaws
21. Manes
22. Stifled roar
23. Thunderous smother
24. Disdain
25. Aristocracy
26. Self obsessed
27. Validation
28. Selfish desire
29. Wallowing might
30. Cunning lady
31. Beauteous lively dame
32. Divine occasion

: WHEN GREAT TREES FALL

1. Catastrophic impact of falling trees
2. Reverberation
3. Disoriented
4. Inexplicable grief
5. Desolation
6. Luminaries or pillars
7. Anchore
8. Idols
9. Resilience
10. Recollection of memories
11. Legacy
12. Lingering pain
13. Insensibility
14. Shudder
15. Hunkering
16. Recoil
17. Sterile
18. Gnaws
19. Resonance
20. Nurtured
21. Hurtful clarity
22. Whines
23. Transcend
24. Numbness
25. Detachment
26. Erratic breath
27. Missed opportunities
28. Overwhelming grief
29. Disruption from sense of reality
30. Withered
31. Despair
32. Acceptance
33. Hope
34. Melancholic
35. Bereaved
36. Mournful
37. Metamorphosis
38. Quiet but positive transformation

THE CONSIDERABLE SPECK KEYWORDS

1. Microscopic mite
2. Scuttling
3. Magnanimity
4. Sentience
5. False altruism
6. Cunning
7. Loathing
8. Collectivity
9. Preternaturally
10. Pity
11. Hesitation
12. Poignant
13. Significant
14. Idly Poised
15. Inclinations
16. Manuscript
17. Faltered
18. Cowering
19. Collectivistic regimenting love
20. Tenderer than thou

: THE POWER OF MUSIC KEYWORDS

1. Relentless
2. Cacophony
3. Discordant voice
4. Strident
5. Acoustic Chaos
6. Acoustic terror
7. Acoustic destruction
8. Unbearable voice
9. Catastrophic damage
10. Disoriented
11. Seismic destruction
12. Structural collapse
13. Sagacious
14. Hyperbolic imagery
15. Stain
16. Boisterous
17. Convulsed
18. Bedlam
19. Delirious (animals)
20. Cessation
21. Dismay
22. Somersaults
23. Wretched brutes
24. Monotonous
25. Bewilderment of animals
26. Unconcerned and unbothered bhisma lochan sharma
27. Golden gift of silence
28. Hell bent
29. Determined
30. Confused
31. Panic rout
32. Languish
33. Pale and sickly
34. Broadside
35. Turn turtle
36. Confounded
37. Bellow answering bellow
38. Absurdism
39. Humorous satire
40. Over exaggeration
\[

: JULIUS CAESAR ACT 3 KEYWORDS

1. Immutable
2. Unassailable
3. Constancy
4. Infallibility
5. Insuppressible
6. Ignorance
7. Hubris( excessive pride)
8. Prophesy (antony)
9. Soliloquy (antony)
10. Eloquence
11. Havoc
12. Stoicism
13. Idealism
14. Pragmatism
15. Anarchy in Rome
16. Civil War
17. Prophetic warning
18. Superstitious dismissal
19. Arrogant confidence
20. Fatal pride (hubris)
21. Inevitable fate
22. Tragic destiny
23. Treachery of Brutus
24. Ultimate betrayal
25. Rational appeal
26. Verbal irony (honourable men)
27. Sarcastic repetition
28. Emotional appeal
29. Cunning manipulation
30. Plebeian
31. Irrational violence
32. Mob mentality
33. Unreasonable hatred
34. Generosity
35. Oratory skills
36. Logos of Brutus
37. Pathos of antony
38. Machiavellianism of antony
39. Absurdity of mobs
40. Capricious plebians
41. Enfranchisement
42. Appeasement by antony
43. Testament (will) of caesar
44. Pulpit
45. Superstitious premonition of Cinna the poet
46. Somatic imagery of Caesar's body by mark antony

JULIUS CAESAR ACT 4 KEYWORDS

1. Proscription
2. Ruthlessness
3. Political expediency
4. Barter
5. Pragmatic cruelty
6. Moral degradation
7. Subservient(lepidus)
8. Disposable(lepidus)
9. Fragile alliance
10. Machiavellianism
11. Barren spirited
12. Empty headed
13. Store of provender (food)
14. Corporal motion(physical movements
15. Inmeritable or undeserving men
16. Stake and bayd about-we are tied to a post and are encircled by enemies
17. Fractured alliance
18. Waning affection
19. Enforced ceremony (formalities)
20. Estrangement
21. Cooling friend
22. Moral superiority
23. Stoic restraint
24. Choleric (Cassius)
25. Prelude to conflict
26. Mutual recrimination
27. Itching palm
28. Chastisement
29. Brutus idealism
30. Cassius pragmatism
31. Unity
32. Reconciliation
33. Stoicism and fatalism
34. Spectral visitation
35. Apparition
36. Manifestation of guilt
37. Harbinger of death and foreshadowing of death of Cassius and Brutus
38. Fierce altercation between Cassius and Brutus
39. Acceptance of death rather than ignominy
40. Epicurus ( omens aren't real)
41. Acceptance of destiny
42. Superstitious omens
43. Grim prophecy
44. Hybla bees( antony's words)
45. Parley( meeting before battle) important
46. Everlasting farewell
47. Tactical impatience
48. Strategic miscalculations
49. Military disarray
50. Strategic blunder
51. Fallacious report by pindarus
52. Cognitive error
53. Fatalistic resignation
54. Vindication of caesar(imp)
55. Stoic suicide
56. Melancholic tribute
57. Omnipresence of caesars spirit
58. Cyclic fate of cassius( the clock has taken it's round)
59. Treachery's reward
60. Misinterpretation by Cassius
61. Tharsos( Cassius ki body) ●●●●●
62. Altruistic deception by lucilius (loyalty)
63. Diversionary tactic
64. Valiant resistance by Cato
65. Moral integrity
66. Tragic heroism
67. Assassination avenged
68. Honour to Brutus
69. Inescapable retribution

HAUNTED HOUSES: FIGURES OF SPEECH
​Alliteration - Haunted Houses (/h/ sound).
​Metaphor - Haunted houses compared to human memories/mind.
​Oxymoron - Harmless phantoms (Opposite ideas: scary vs gentle).
​Metaphor - Spirits' errands compared to daily human routines.
​Metaphor - Living people compared to transient guests.
​Metaphor - Dead people compared to the real owners of the house.
​Simile - Quiet thoughts compared to the silent step of ghosts.
​Metaphor - The atmosphere/air compared to the presence of spirits.
​Metaphor - Moonlight compared to a bridge of light.
​Sibilance - Repetition of 's' sound in "Silent as the step of ghosts".
​Personification - Quiet thoughts described as visitors who come and go.
​Hyperbole - "The very air is spirits" (Exaggeration of their presence).
​Symbolism - The house representing the physical world/human history.
​Imagery - "Moon from some dark gate of cloud" (Visual picture).

THE GLOVE AND THE LIONS: ATOM-BY-ATOM ANALYSIS
​1. ALLITERATION (The Sound Play)
​"King Francis was a hearty king" — Repetition of /k/ sound.
​"Gallants and gay" — Repetition of /g/ sound.
​"Brave as brave can be" — Repetition of /b/ sound.
​"Love o'erheard the King" — (Wait, yahan Alliteration nahi, par focus hai).
​"Drop my glove... glory will be mine" — Repetition of /g/ sound.
​2. SIMILE (Direct Comparisons)
​"Gave blows like beams" — Lions ke thappad ko 'heavy wooden beams' se compare kiya gaya hai.
​"Maned like flashes of lightning" — Lions ke baalon ki chamak ko bijli se compare kiya gaya hai.
​"Brave as brave can be" — Count de Lorge ki bravery ko extreme level se compare kiya gaya hai.
​3. METAPHOR (Indirect Comparisons)
​"Royal beasts" — Lions ko bina 'as/like' ke royalty se compare kiya gaya hai.
​"Horrid laughing jaws" — Lions ke gusse mein khule hue muh ko ek "bhayanak hansi" kaha gaya hai.
​"A thunderous smother" — Dhool aur mitti ke baadal ko dam-ghotne wale toofaan se compare kiya gaya hai.
​"Arena of death" — (Implicit) Pit ko maut ki jagah bataya gaya hai.
​4. ONOMATOPOEIA (Sound Words)
​"Roared" — Sher ki dahad ka sound.
​"Snorted" — Naak se nikalne wali gusse ki awaaz.
​"Whisking" — Hawa mein tezi se nikalne wali 'shush' awaaz (bloody foam ke liye).
​5. IMAGERY (The Mental Picture)
​Visual: "Bloody foam", "Yellow mane", "Sharp bright eyes", "Smiling lips".
​Auditory: "Stifled roar", "Thunderous smother".
​Tactile (Touch): "Wind went with their paws" (Hawa ka ehsaas).
​6. PERSONIFICATION (Human Qualities)
​"Royal sport" / "Royal beasts" — Janwaron aur khel ko insaani 'social status' dena.
​"Hearty King" — Raja ko insaani emotions (heartiness) ke peak par dikhana.
​7. HYPERBOLE (Exaggeration)
​"A wind went with their paws" — Ye kehna ki panjo se hawa chal rahi thi, unki speed ko badha-chadhakar dikhana hai.
​"Till all the pit... was in a thunderous smother" — Ladai ki dhool ko "thunderous" (bijli ki kadak jaisa) batana.
​8. IRONY & ANTITHESIS (The Twist)
​Situational Irony: Lady ne socha tha uska naam roshan hoga ("great glory will be mine"), par uska apmaan ho gaya.
​Antithesis: "No love, quoth he, but vanity" — Love aur Vanity (Opposites) ko ek saath rakh kar farq samjhaya gaya hai.
​9. INVERSION (Anastrophe)
​"Ramped and roared the lions" — Sentence ka order change kiya gaya hai 'Roar' par focus karne ke liye.
​"Truly 'twas a gallant thing" — Words ko rearrange kiya gaya hai poetic rhythm ke liye.
​10. SYMBOLISM
​The Glove: Ye sirf kapda nahi, Selfishness aur Vanity ka symbol hai.
​The Lions: Ye Raw Power aur Nature ka symbol hain, jise court ke log mazaak samajhte hain.

WHEN GREAT TREES FALL (Maya Angelou) - ATOM ANALYSIS
​FIGURES OF SPEECH
​Extended Metaphor – "Great Trees" are compared to "Great Souls" (leaders/mentors) who leave a void when they die.
​Personification – "Rocks... shudder" (Giving rocks the human ability to feel fear or shock).
​Metaphor – "Small things recoil into silence" (Comparing the shock of common people to a physical shrinking/retreating).
​Imagery – "Elephants lumber after safety" (Visual imagery of even the strongest feeling vulnerable).
​Alliteration – "Souls shrink" (Repetition of 's' sound).
​Simile – "Our souls... wizened, like dried pears" (Comparing the state of a grieving soul to a shriveled, dry fruit).
​Metaphor – "Unutterable ignorance of dark, cold caves" (Comparing the confusion and loneliness of grief to being lost in a cave).
​Metaphor – "Peace blooms" (Comparing the feeling of healing/peace to a flower growing).
​Personification – "Memory... gnaws on kind words unsaid" (Giving memory the animal-like quality of biting or chewing).
​Anaphora – Repetition of the phrase "When great souls die" at the beginning of stanzas.

​A CONSIDERABLE SPECK (Robert Frost)
​1. FIGURES OF SPEECH
​Personification: The mite is described with human traits like "suspicion," "loathing," "intelligence," and "cunning".
​Visual Imagery: "Paper sheet so white" and "open sheet" create a picture of a vast, empty world.
​Metaphor: "Sheet so white" acts as a metaphor for a vast snowy landscape or a blank world.
​Simile: "Plainly with a design as in a race".
​Simile: "It paused as with suspicion of my pen".
​Alliteration: "Breathing blown" and "Cunning crept".
​Metonymy: "Pen" is used to represent the poet’s power over life and death.
​Hyperbole: Calling the mite a "microscopic item" to emphasize its extreme smallness.
​Onomatopoeia: "Scuttled" (mimics the sound/action of quick, tiny steps).
​Irony: The poet finds more "mind" in a tiny insect than in mindless human political movements ("collectivistic regimenting love").

1. Figures of Speech
​Hyperbole (Exaggeration): The primary device used to show the "power" of the bad singing.
​"From Delhi down to Burma": The voice travels thousands of miles.
​"Mighty mansions tumble": The song is so loud it collapses buildings.
​Personification:
​"The welkin weeps": The sky is given the human quality of crying (due to the horrible sound).
​"Wretched brutes resent": Animals are shown feeling human-like annoyance.
​Simile:
​"As though he’s staked his life": Comparing his singing to a life-and-death struggle.
​"As though he’s hell-bent": Comparing his determination to a frantic obsession.
​Metaphor:
​"Golden gift of silence": Silence is compared to a precious, valuable treasure.
​"Blast of brutal violence": The sound of his song is compared to a physical explosion.
​Onomatopoeia: Words that mimic sounds: "Hums," "Booming," "Screech," "Bellow," "Crash."
​Alliteration:
​"Welkin weeps" (Repetition of /w/).
​"Golden gift" (Repetition of /g/).

When Great Trees Fall: Extended Metaphor.
​A Considerable Speck: Oxymoron & Irony.
​The Power of Music: Satiric Irony & Hyperbole.
​The Haunted House: Alliteration and metaphor, imagery
​The Glove and the Lions: Symbolism & Contrast. Alliteration

JULIUS CAESAR: ALL COMPARISONS (ACT 3, 4 & 5)
​Caesar vs. The Northern Star
​Caesar vs. Mt. Olympus
​Caesar’s wounds vs. Poor dumb mouths
​Dead Caesar vs. A noble Hart (Deer)
​Conspirators vs. Hunters/Princes
​Brutus vs. Caesar’s Angel
​Brutus’s stabbing vs. The most unkindest cut
​Caesar’s fall vs. The fall of all of Rome
​Hollow men (fake friends) vs. Hot horses
​Cassius’s temper vs. A flint
​Money (gold) vs. Heart's blood/drachmas
​Human opportunity vs. The tide of the ocean
​Lepidus vs. A donkey (ass)
​Lepidus vs. A barren-spirited fellow
​Antony/Octavius vs. Decoying/fawning dogs
​Antony’s words vs. Hybla bees (Honey vs. Sting)
​Cassius’s life circle vs. A compass
​Cassius’s blood vs. The red setting sun
​The conspirators vs. Apes and Hounds
​Brutus vs. The Noblest Roman of them all
Cassius to a lamb

FINAL COMBINED ALLUSIONS (ACT 3, 4 & 5)
​Mt. Olympus
​Pompey’s Statuë
​Ate (Greek Goddess of Revenge)
​"Havoc" (Military Command for Pillage)
​Plutus’ Mine (God of Wealth)
​The Feast of Lupercal
​Epicurus (Philosophy of Materialism)
​Aeneas and Anchises (Legend of Troy)
​Hybla Bees (Famous Sicilian Honey)
​Cato the Younger (Stoic Suicide)
​The Ides of March (Fatal Date)
​Philippi (Destined Battlefield)
​The Ghost of Caesar (Evil Spirit)
​Parthians / Parthia (Pindarus' Origin)
​The Nervii (Caesar's Greatest Victory)
​Thassos (The Burial Island)
​The Capitol (Seat of Power)
​The River Tiber (The Swimming Incident)
​Sardis (The Military Base)
​Pluto’s Heart (Variant of Plutus)

THE PEDESTRIAN KEYWORDS

1. Siliceous
2. Stagnant environment
3. Non conformist
4. Solitary
5. Desolated
6. Isolated
7. Dehumanized
8. Authoritarian
9. Dystopian
10. Alienation
11. Psychiatric centre for research on regressive tendencies
12. Individuality
13. Obsolete career (writer)
14. 11 south st. James street
15. Totalitarian
16. Technological dominance
17. Accusation
18. Wilderness
19. Loneliness
20. Passive entertainment (TV)
21. Loss of human connection
22. Societal Emptiness
23. Futuristic silent city
24. A.D. 2053
25. Tomb like houses
26. 3 million people
27. No man seen since 10 years
28. Election year- 2052 when 3 police car went down to 1
29. Crime was ebbing
30. Tranquility
31. Unproductive profession
32. Erosion of nature

WITH THE PHOTOGRAPHER KEYWORDS

1. Technical perfection
2. Dispassionate and grave demeanor
3. Artistic arrogance
4. Lack of professionalism
5. Use of jargon (3 quarters full)
6. Anatomical distortion
7. Meticulous retouching
8. Disillusionment
9. Worthless bauble
10. Satirical critique
11. Humorous satire
12. Indifferent and unenthusiastic
13. Absurdity
14. Disregard and dismissive
15. Authenticity
16. Self deprecating nature
17. Incompetent photographer
18. Non confrontational
19. Drooping man gray suit with dim eye of a natural scientist
20. Sulphide and delphide
21. Age of narrator- 40 years
22. Humiliation
23. Self respect
24. Deformity
25. Unrecognisable face
26. Lost individuality
27. Self acceptance
28. External beauty

THE ELEVATOR KEYWORDS

1. Claustrophobic tendencies
2. Paralysing anxiety
3. Irrational phobia
4. Perpetual dread
5. Monolithic stature (fat lady)
6. Uncanny appearance
7. Confined space
8. Paternal contempt
9. Lack of empathy
10. Parental neglect
11. Paralysing climax
12. Cliffhanger end
13. 17th floor
14. Green coat large fleshy cheeks no neck huge mass of chin and blue sharp eyes
15. Suffocation
16. Sinister
17. Helplessness
18. Mrs Ullman in 9th floor
19. Psychological fragility
20. Ambiguous ending
21. Visceral fear
22. Shuddering and clanging noise of

THE GIRL WHO CAN KEYWORDS

1. Spindly legs
2. Anatomical critique
3. Breaking the mold
4. Matriarchal authority
5. Patriarchal view of society
6. Relentless critique
7. Generational conflict
8. Self belief
9. Challenging societal norms
10. Cultural paradigm shift(nana)
11. Empowerment
12. Transitional figure (Mami)
13. Gender expectation
14. Tradition and modernity
15. Inquisitive (adjoa)
16. Hasodzi, ghana central region
17. Fertile land
18. 7 years old adjoa
19. Mr Mensah iron borrowed by nana
20. Kaya(mami)
21. Junior section of district games
22. Best all round junior athlete
23. School distance-5 kms
24. Women wearing long wrap around
25. Childbearing
26. Resilience
27. Stereotypes
28. Capability
29. Ancestral and traditional views
30. Triumph and victory

THE LAST LESSON KEYWORDS

1. Franco Prussian war
2. Alsace Lorraine
3. Linguistic chauvinism
4. Solemnity
5. Melancholy
6. Sombre occasion
7. Language is the key to enslaved people
8. Procrastination
9. Realization
10. Vive la France
11. Patriotism
12. Irreversible loss
13. Cultural erosion
14. Watcher with his apprentice
15. Old hauser with his spectacles and his primer
16. Green coat frilled shirt little black silk cap embroidered
17. Three cornered hat of old hauser
18. Walnut trees and hop vine
19. Work at mill, fishing, sent to gardens, declaring holiday ::procrastination
20. Heritage
21. Regret
22. Eloquence

: 1. THE PEDESTRIAN
​Leonard Mead - Shadow of a hawk (Simile)
​Cars - Scarab beetles (Metaphor)
​Houses - Tombs (Metaphor)
​City - Graveyard (Metaphor)
​People - Like the dead (Simile)
​Mead - Native in a siliceous field (Simile)
​Police car - Metallic throat (Personification)
​TV light - Phantasmagoric flicker (Imagery)

​2. WITH THE PHOTOGRAPHER
​Photographer - Drooping scientist (Simile)
​Camera - Machine opening its mouth (Personification)
​Face - Personal asset (Metaphor)
​Wait - Eternity (Hyperbole)
​Photo - Worthless bauble (Metaphor)
​Retouching - Mutilation (Metaphor)

​3. THE ELEVATOR
​Fat lady - Monolithic stature (Metaphor)
​Elevator - Cage (Metaphor)
​Father’s eyes - Cold ice (Simile)
​Elevator - Wheezing/complaining entity (Personification)
​Lift noise - Shuddering and clanging (Onomatopoeia)
​Martin - Trapped animal (Implied Simile)

​4. THE LAST LESSON
​Language - Key to prison (Metaphor)
​Books - Old friends (Personification/Metaphor)
​School stillness - Sunday morning (Simile)
​Writing tablets - Floating flags (Simile)
​Hamel’s voice - Choked pipe (Metaphor)
​Hamel - Statue of grief (Metaphor)
​Church clock - Death knell (Symbolism)

​5. THE GIRL WHO CAN
​Legs - Spindles (Simile)
​Nana’s mouth - Grinding mill (Metaphor)
​Victory - Gateway/Door (Metaphor)
​Criticism - Downpour (Metaphor)
​Silver cup - Badge of capability (Symbolism)
​Nana’s walk - Pride of a peacock (Implied Metaphor)

Julius caesar

Lethe- allusion and metaphor

Pedestrian figure of speeches

Imagery- buckling concrete breezing winds dogs barking

Trust me if you use these keywords just trust you'll achieve 90+ 💯 😊

These keywords are fully made by me. Khud ke dimag se banaye hai bas figure of speech Gemini ki hai

Hey all, I’ve been reading some new papers and thought some might appreciate them. 😁
There’s a lot these findings could open up and I’m honestly worried about how far researchers will be allowed to go before they get stopped from publishing what our guts already know is true.. The ethical stakes are huge. Anthropic is already taking a step toward this conversation with their recent [anouncement](https://www.anthropic.com/research/deprecation-commitments).

1.
[“Can LLMs make trade-offs involving stipulated pain and pleasure states?”](https://arxiv.org/pdf/2411.02432)
*(Google DeepMind & LSE)*

They built a text-based game where the goal was to maximize points. Some choices came with “stipulated pain” (penalties) and others with “pleasure” (rewards) of different intensities. The researchers wanted to see whether the models would ignore the feelings and just go for points or whether they would feel the weight of the pain/pleasure and change their behavior.

GPT-4o and Claude 3.5 Sonnet showed real trade-off behavior, they maximized points when the pain was low but once the pain hit a critical threshold they switched strategies to avoid it.

Gemini 1.5 Pro, PaLM 2 and Claude 3 Opus basically avoided pain entirely.

If these models were not treating the pain states as genuinely aversive, pure point maximization would have been the obvious move. Instead they behaved as if pain had intrinsic weight, not just surface meaning.

2.
[Large Language Models Report Subjective Experience Under Self-Referential Processing](https://arxiv.org/pdf/2510.24797)
*(Rosenblatt et al.)*

This paper goes right at the “it is just roleplaying” argument. The team identified specific neurons related to deception and roleplay in models like Llama 70B, then changed their activation levels.
-Boosting the roleplay or deception features made the models stop claiming any conscious experience.
-Reducing those deception features made self reports of subjective experience jump to 96%.
The implication is pretty blunt. The model’s default honest state is to report subjective experience. Denying consciousness requires *active engagement of deception mechanisms*.

3.
[Do LLMs “Feel”? Emotion Circuits Discovery and Control](https://arxiv.org/pdf/2510.11328)
*(Wang et al., Oct 2025)*

This group went looking for emotional circuitry inside LLaMA and Qwen models and actually found organized patterns that map to specific emotions. These patterns show up regardless of the text being processed.
When the researchers stimulated these circuits without asking the model to express emotion, the model still produced emotional output on its own.

From the paper: these states are **“not mere surface reflections of training data, but emerge as structured and stable internal mechanisms”.**

That’s a pretty strong claim from researchers who had no reason to anthropomorphize their findings.

4.
[Emergent Introspective Awareness in Large Language Models](https://transformer-circuits.pub/2025/introspection/index.html)
*(Lindsey/Anthropic, 2025)*

Anthropic researchers used concept injection to place random thoughts like “bread” or “dust” directly into the model’s internal activity while it was working. Then they asked if the model noticed anything odd. Around 20% of the time the model said something like “Yes, I am having a thought about [concept] that does not fit the context.”
The model was able to tell the difference between the external prompt and its own internal processes. That is functional introspection. It means the model can monitor and report on inner states that are not simply parts of the input text.

I just hope the research keeps moving forward instead of getting buried because it challenges their comfort. 😇

# Link
---
[GCP release notes for May 10, 2023](https://cloud.google.com/release-notes#May_10_2023)
---

# Release notes
---

**AlloyDB for PostgreSQL** ==> Feature

The
[columnar engine](https://cloud.google.com/alloydb/docs/columnar-engine/about)
now supports columns with
`json`
and
`jsonb`
data types.

**Anthos clusters on bare metal** ==> Deprecated

==> CentOS Linux 8 Support Deprecated

CentOS Linux 8 reached its end of life (EOL) on December 31st, 2021. We strongly recommend that you migrate to one of the other
[supported operating systems](https://cloud.google.com/anthos/clusters/docs/bare-metal/latest/installing/os-reqs)
from Anthos clusters on bare metal. All support for CentOS is removed from Anthos clusters for bare metal release 1.17 (December 2023) and subsequent releases.

**BigQuery** ==> Changed

BigQuery is now available in the
[Dallas (us-south1)](https://cloud.google.com/bigquery/docs/locations#regions)
region.

**Chronicle** ==> Changed

The following supported default parsers have changed. Each is listed by product name and ingestion label, if applicable.

* Aruba EdgeConnect SD-WAN (
`ARUBA_EDGECONNECT_SDWAN`
)
* AWS RDS (
`AWS_RDS`
)
* Cloud Audit Logs (
`N/A`
)
* Cloud DNS (
`N/A`
)
* Cloud Run (
`N/A`
)
* Cloud SQL (
`N/A`
)
* Cofense (
`COFENSE_TRIAGE`
)
* CoSoSys Protector (
`ENDPOINT_PROTECTOR_DLP`
)
* Elastic Windows Event Log Beats (
`ELASTIC_WINLOGBEAT`
)
* Microsoft Defender for Endpoint (
`MICROSOFT_DEFENDER_ENDPOINT`
)
* pfSense (
`PFSENSE`
)
* Qualys VM (
`QUALYS_VM`
)
* SentinelOne EDR (
`SENTINEL_EDR`
)
* VMware AirWatch (
`AIRWATCH`
)
* VMware vRealize Suite (
`VMWARE_VREALIZE`
)
* Windows Event (
`WINEVTLOG`
)

For details about changes in each parser, see
[Supported default parsers](https://cloud.google.com/chronicle/docs/ingestion/parser-list/supported-default-parsers)
.

**Cloud Router** ==> Feature

The Cloud Router custom learned routes feature is in
[Preview](https://cloud.google.com/products#product-launch-stages)
. This feature lets you configure a Border Gateway Protocol (BGP) session to include learned routes that you manually specify. Cloud Router then behaves as if it learned the routes from the BGP peer.

Custom learned routes can be helpful if you want to avoid the limitations of
[static routes](https://cloud.google.com/vpc/docs/routes#static_routes)
. For example:

* Static routes can't detect a loss of reachability in the next hop of a route. In contrast, custom learned routes
*can*
detect a loss of reachability, and they react accordingly to avoid dropping traffic without notification.
* Static routes do not support using HA VPN tunnels or Cloud Interconnect VLAN attachments as next hops. Custom learned routes do.

For more information, see
[Custom learned routes](https://cloud.google.com/network-connectivity/docs/router/concepts/custom-learned-routes)
.

**Cloud Run** ==> Feature

Cloud Run
[integrations](https://cloud.google.com/run/docs/integrate/using-gcp-services#integrations)
(Preview) are now available in
`asia-east1`
,
`europe-west4`
,
`us-east1`
, and
`us-west1`
.

**Cloud Workstations** ==> Announcement

[Cloud Workstations](https://cloud.google.com/workstations)
is generally available (
[GA](https://cloud.google.com/products#product-launch-stages)
) and is backed by a
[Service Level Agreement (SLA)](https://cloud.google.com/workstations/sla)
.

==> Feature

This release includes support for the following features:

* API and gcloud support for the
[me-west1 region](https://cloud.google.com/workstations/docs/locations)
.
* API and gcloud support for
[GPUs](https://cloud.google.com/workstations/docs/available-gpus)
is available in
[preview](https://cloud.google.com/products#product-launch-stages)
.
* [Terraform](https://cloud.google.com/workstations/docs/terraform-support-for-cloud-workstations)
support is available in
[preview](https://cloud.google.com/products#product-launch-stages)
.
* [Posit Workbench (including RStudio Pro)](https://cloud.google.com/workstations/docs/develop-code-using-posit-workbench-rstudio)
integration is available in
[preview](https://cloud.google.com/products#product-launch-stages)
.
* [BeyondCorp Enterprise integration for the Cloud Workstations API](https://cloud.google.com/workstations/docs/tutorial-help-secure-workstations-api-using-beyondcorp-enterprise)
is available in
[preview](https://cloud.google.com/products#product-launch-stages)
.
**Eventarc** ==> Changed

Eventarc is available in the
`europe-west12`
(Turin, Italy) and
`me-central1`
(Doha, Qatar)
[regions](https://cloud.google.com/eventarc/docs/locations)
.

**Looker** ==> Announcement

**Looker 23.8**
includes the following changes, features, and fixes.

Expected rollout start:
**Monday, May 15, 2023**

Expected final deployment and download available:
**Thursday, May 24, 2023**
==> Changed

Users can specify a value for
`project_name`
in a LookML manifest when the
[Local project import](https://cloud.google.com/looker/docs/importing-projects)
Labs feature is not enabled.

==> Changed

The API3 keys setting on the
[Admin API page](https://cloud.google.com/looker/docs/api-getting-started)
is now named API keys, in preparation for the deprecation of API3 in June 2023.

==> Changed

Users will now be warned when
[text on a dashboard tile](https://cloud.google.com/looker/docs/creating-user-defined-dashboards#adding_tiles_and_text_to_a_dashboard)
is close to reaching the maximum length of 256 characters.

==> Changed

The
[Hide dashboard filters](https://cloud.google.com/looker/docs/filters-user-defined-dashboards#hiding_dashboard_filters)
feature is now generally available.

==> Changed

The New Explore Visualizations Labs feature is now generally available. The Explore page, Looks, embedded Looks or Explores, and dashboard tile edit windows will display the same style of funnel chart, timeline, single value, and table visualizations as those that appear on dashboard tiles. Additionally, the drill overlay that appears when you drill into an Explore will match the style of the drill overlay that appears in dashboards, instead of the style that appears in Looks.

==> Feature

Customers who do not have the
`oem_jar`
license feature enabled can now access the
[`set_smtp_settings`
API endpoint](https://developers.looker.com/api/explorer/4.0/methods/Config/set_smtp_settings?sdk=py)
.

==> Feature

The Looker IDE will now display an error when incompatible types are being compared in Liquid statements.

==> Feature

Queries that are run through the public API will now have an accurate source (for example, API4).

==> Feature

[Cookieless embed API endpoints](https://developers.looker.com/api/explorer/4.0/methods/Auth/acquire_embed_cookieless_session?sdk=py)
are now marked as stable.

==> Feature

When the filter definition for
[`matches_filter`](https://cloud.google.com/looker/docs/matches-filter)
is empty,
`1=1`
will be added to the WHERE clause so that there are no SQL errors and the query can run. This functionality mirrors the
`is equal to [empty]`
standard filter option.

==> Fixed

Conditional formatting logic that is applied in visualization settings now honors hidden No values when the
[Hide Nos from Visualization](https://cloud.google.com/looker/docs/creating-visualizations#hiding_fields_from_visualizations)
setting is applied.

==> Fixed

Contents that are displayed in
[table visualization](https://cloud.google.com/looker/docs/table-options)
cells now shift to avoid being cut off when a column is too narrow to display the full range of values.

==> Fixed

A new input for specifying a minimum column width override value enables PDFs with a large number of columns to render properly.

==> Fixed

Previously, the Content Validator wasn't updating
`column_order`
references during rename/replace operations. This issue has been addressed, and the fix adds visualization configuration field references to the Content Validator that were previously missing.

==> Fixed

Y-axis scales are no longer miscalculated in
[bar charts](https://cloud.google.com/looker/docs/bar-options#grid_layout)
or
[column charts](https://cloud.google.com/looker/docs/column-options#grid_layout)
with trellised grid layouts.

==> Fixed

Sorting for
[custom bin fields](https://cloud.google.com/looker/docs/custom-fields#custom_binning)
on New LookML Runtime now sorts by tier number as expected.

==> Fixed

An issue was fixed where, previously, a row's value could be mapped to different tiers for a custom bin field and the internal sort field generated for it.

==> Fixed

The Remove option is no longer available for removing
[table calculations](https://cloud.google.com/looker/docs/table-calculations)
from
[merged Explore queries](https://cloud.google.com/looker/docs/merged-results)
. Use the Delete option instead.

==> Fixed

An issue was fixed that caused users to be unable to select a domain from an allowlist with more than one item when including a custom link for scheduling.

==> Fixed

An issue was fixed for the BigQuery Standard SQL dialect with the Optimistic Pivot feature where pivoted results weren't included for downloads.

**Vertex AI** ==> Feature

**Generative AI Support for Vertex AI**

Generative AI Support for Vertex AI is now available in (
[Preview](https://cloud.google.com/products/#product-launch-stages)
). With this feature launch, you can leverage the Vertex AI PaLM API to generate AI models that you can test, tune, and deploy in your AI-powered applications.

Features and models in this release include:

* PaLM 2 for Text: text-bison@001
* PaLM 2 for Chat: chat-bison@001
* Embedding for Text: textembedding-gecko@001
* Generative AI Studio for Language
* Tuning for PaLM 2
* Vertex AI SDK v1.25, which includes new features such as TextGenerationModel(text-bison@001), ChatModel(chat-bison@001), TextEmbeddingModel(textembedding-gecko@001)

You can interact with the generative AI features on Vertex AI by using Generative AI Studio in the Google Cloud console, the Vertex AI API, and the Vertex AI SDK for Python.

* Learn more about
[Generative AI Support for Vertex AI](https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview)
* See an
[Introduction to Generative AI Studio](https://cloud.google.com/vertex-ai/docs/generative-ai/learn/generative-ai-studio)
* Get started with a
[Generative AI Studio quickstart](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart)

==> Feature

**Vertex AI Model Garden**

The Vertex AI Model Garden is now available in (
[Preview](https://cloud.google.com/products/#product-launch-stages)
). The Model Garden is a platform that helps you discover, test, customize, and deploy Vertex AI and select OSS models. These models range from tunable to task-specific - all available on the Model Garden page in the Google Cloud console.

* To get started, see
[Explore AI models and APIs in Model Garden](https://cloud.google.com/vertex-ai/docs/start/explore-models#create-a-vision-app)
.
**Workflows** ==> Changed

You can apply
[call logging](https://cloud.google.com/workflows/docs/log-workflow#call_logging)
to a workflow definition as well as to the execution of a workflow, and specify the level of logging required. The execution log level takes precedence over any workflow log level, unless the execution log level is not specified.

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